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As a CEO, many CMOs are effectively chasing your attention. When they invest heavily in ultimate guides and thought leadership content, what do they need to do differently to get you to engage?
It’s got to be relevant and it’s got to be accessible. I do download content fairly often, but I don’t tend to download massive documents - I just don’t have the time. Time is critical.
I prefer what I’d describe as snackable content. I think a lot of people are overwhelmed by the volume of information out there and we’re all short on time. Most PDFs end up in my “to read” folder and then never actually get read.
The issue isn’t necessarily the insight, it’s the format it’s delivered in. I prefer fast, accessible content: videos, podcasts, short pieces that I can consume easily.
There are exceptions. There are a couple of documents I read every year because they’re directly relevant to the business challenges I’m facing. But fundamentally there’s just a lot out there, so content needs to be targeted, relevant, and consumable.
Many B2B marketing teams would say they already tick those boxes. Is that enough?
There is a lot of repetitive content out there. You only have to look at how many articles are being published on AI, they’re often saying the same things and delivered in the same way.
If content tackled issues in a slightly different way, or was delivered in a more engaging or distinctive format, that would definitely get my attention. Right now, a lot of it looks and sounds the same.
Is content consumption always “on” for you, or are there moments when you actively seek things out?
Personally, I like reading and taking on content. If I’m dealing with a specific business challenge, I’ll actively go out and find solutions to that problem. I’ll ignore a lot of content that feels generic or irrelevant, but when I need to dig into something, I’ll seek it out.
You’ve held senior GTM roles across major organisations. When you look at a marketing dashboard, what’s the metric you care most about and which ones do you have no time for?
The metric I care about most is marketing-sourced pipeline, but it needs to be real pipeline. Opportunities that are actionable and can turn into revenue.
Marketing-attributed revenue is another key one. A single number that shows whether marketing is genuinely helping grow the business.
Those metrics aren’t always available straight away because they rely on good data, systems, and workflows. That data might come from the website, events, inbound enquiries — wherever. But that’s what I want to see.
Vanity metrics, on the other hand, things that look good on dashboards but don’t translate into revenue, are less helpful. Page impressions, generic page views, follower counts: they matter, but they don’t tell me whether we’re generating qualified demand or revenue.
You’re also a practicing artist. Has creativity influenced your approach to marketing?
I’ve been painting pretty much all my life. I wanted to go to art college originally, but my dad encouraged me to get what he called a “proper degree”.
A few years ago I had some downtime and got back into my artwork. We have a place in Cornwall, and I started creating sea-life-inspired pieces in a pop-art style. A gallery there picked them up and began exhibiting them.
So yes, creativity has always been part of who I am.
How does that creative side show up in your marketing philosophy, particularly around brand versus performance?
Brand awareness is vitally important. It doesn’t always translate immediately into revenue metrics, but being known for something, what you’re good at, what you stand for, really matters.
That said, particularly in tougher times, you have to stay focused on growth and revenue. Some marketing metrics simply don’t add value when you’re trying to understand how the business is actually performing.
So it’s about balance. Brand supports long-term growth, but it has to sit alongside clear commercial outcomes.
If a downturn hits and budgets need to be cut quickly, where do you start?
I wouldn’t start by cutting marketing. It’s counterintuitive. You can’t cut your way out of trouble, you have to grow your way out.
Marketing is a lever for growth, not a discretionary cost. I’d look elsewhere first: vendor consolidation, travel, back-office duplication, non-core projects.
In one organisation I worked in, we had around 800 internal projects running at once, many solving the same problems in different ways across regions. We shut most of them down and replaced them with a smaller number of consistent initiatives. The cost savings were significant.
If marketing cuts are unavoidable, it should be about reallocation, not elimination. Dial back experimental activity, but protect channels that reliably generate demand; account-based marketing, targeted industry events, proven performance channels.
You’ve written about the productivity paradox. Are marketers over-tooled?
Yes, I think there are too many tools in most organisations, and that adds complexity. Individually the tools are fine, but collectively - especially in global organisations - they create friction, and friction reduces productivity.
I’ve worked in businesses operating across 30 countries, each with its own CRM system, analytics tools, and implementations. That fragmentation adds cost and slows everything down.
There are huge savings and productivity gains to be made through consolidation. There are dozens of platforms- HubSpot, Salesforce, Marketo, Pardot, Mailchimp, Hootsuite and many more - all doing similar things.
Reducing the number of tools and standardising how they’re used is absolutely key.
Watch the full interview on the B2B Marketing United YouTube channel.
As a CEO, many CMOs are effectively chasing your attention. When they invest heavily in ultimate guides and thought leadership content, what do they need to do differently to get you to engage?
It’s got to be relevant and it’s got to be accessible. I do download content fairly often, but I don’t tend to download massive documents - I just don’t have the time. Time is critical.
I prefer what I’d describe as snackable content. I think a lot of people are overwhelmed by the volume of information out there and we’re all short on time. Most PDFs end up in my “to read” folder and then never actually get read.
The issue isn’t necessarily the insight, it’s the format it’s delivered in. I prefer fast, accessible content: videos, podcasts, short pieces that I can consume easily.
There are exceptions. There are a couple of documents I read every year because they’re directly relevant to the business challenges I’m facing. But fundamentally there’s just a lot out there, so content needs to be targeted, relevant, and consumable.
Many B2B marketing teams would say they already tick those boxes. Is that enough?
There is a lot of repetitive content out there. You only have to look at how many articles are being published on AI, they’re often saying the same things and delivered in the same way.
If content tackled issues in a slightly different way, or was delivered in a more engaging or distinctive format, that would definitely get my attention. Right now, a lot of it looks and sounds the same.
Is content consumption always “on” for you, or are there moments when you actively seek things out?
Personally, I like reading and taking on content. If I’m dealing with a specific business challenge, I’ll actively go out and find solutions to that problem. I’ll ignore a lot of content that feels generic or irrelevant, but when I need to dig into something, I’ll seek it out.
You’ve held senior GTM roles across major organisations. When you look at a marketing dashboard, what’s the metric you care most about and which ones do you have no time for?
The metric I care about most is marketing-sourced pipeline, but it needs to be real pipeline. Opportunities that are actionable and can turn into revenue.
Marketing-attributed revenue is another key one. A single number that shows whether marketing is genuinely helping grow the business.
Those metrics aren’t always available straight away because they rely on good data, systems, and workflows. That data might come from the website, events, inbound enquiries — wherever. But that’s what I want to see.
Vanity metrics, on the other hand, things that look good on dashboards but don’t translate into revenue, are less helpful. Page impressions, generic page views, follower counts: they matter, but they don’t tell me whether we’re generating qualified demand or revenue.
You’re also a practicing artist. Has creativity influenced your approach to marketing?
I’ve been painting pretty much all my life. I wanted to go to art college originally, but my dad encouraged me to get what he called a “proper degree”.
A few years ago I had some downtime and got back into my artwork. We have a place in Cornwall, and I started creating sea-life-inspired pieces in a pop-art style. A gallery there picked them up and began exhibiting them.
So yes, creativity has always been part of who I am.
How does that creative side show up in your marketing philosophy, particularly around brand versus performance?
Brand awareness is vitally important. It doesn’t always translate immediately into revenue metrics, but being known for something, what you’re good at, what you stand for, really matters.
That said, particularly in tougher times, you have to stay focused on growth and revenue. Some marketing metrics simply don’t add value when you’re trying to understand how the business is actually performing.
So it’s about balance. Brand supports long-term growth, but it has to sit alongside clear commercial outcomes.
If a downturn hits and budgets need to be cut quickly, where do you start?
I wouldn’t start by cutting marketing. It’s counterintuitive. You can’t cut your way out of trouble, you have to grow your way out.
Marketing is a lever for growth, not a discretionary cost. I’d look elsewhere first: vendor consolidation, travel, back-office duplication, non-core projects.
In one organisation I worked in, we had around 800 internal projects running at once, many solving the same problems in different ways across regions. We shut most of them down and replaced them with a smaller number of consistent initiatives. The cost savings were significant.
If marketing cuts are unavoidable, it should be about reallocation, not elimination. Dial back experimental activity, but protect channels that reliably generate demand; account-based marketing, targeted industry events, proven performance channels.
You’ve written about the productivity paradox. Are marketers over-tooled?
Yes, I think there are too many tools in most organisations, and that adds complexity. Individually the tools are fine, but collectively - especially in global organisations - they create friction, and friction reduces productivity.
I’ve worked in businesses operating across 30 countries, each with its own CRM system, analytics tools, and implementations. That fragmentation adds cost and slows everything down.
There are huge savings and productivity gains to be made through consolidation. There are dozens of platforms- HubSpot, Salesforce, Marketo, Pardot, Mailchimp, Hootsuite and many more - all doing similar things.
Reducing the number of tools and standardising how they’re used is absolutely key.
Watch the full interview on the B2B Marketing United YouTube channel.
As a CEO, many CMOs are effectively chasing your attention. When they invest heavily in ultimate guides and thought leadership content, what do they need to do differently to get you to engage?
It’s got to be relevant and it’s got to be accessible. I do download content fairly often, but I don’t tend to download massive documents - I just don’t have the time. Time is critical.
I prefer what I’d describe as snackable content. I think a lot of people are overwhelmed by the volume of information out there and we’re all short on time. Most PDFs end up in my “to read” folder and then never actually get read.
The issue isn’t necessarily the insight, it’s the format it’s delivered in. I prefer fast, accessible content: videos, podcasts, short pieces that I can consume easily.
There are exceptions. There are a couple of documents I read every year because they’re directly relevant to the business challenges I’m facing. But fundamentally there’s just a lot out there, so content needs to be targeted, relevant, and consumable.
Many B2B marketing teams would say they already tick those boxes. Is that enough?
There is a lot of repetitive content out there. You only have to look at how many articles are being published on AI, they’re often saying the same things and delivered in the same way.
If content tackled issues in a slightly different way, or was delivered in a more engaging or distinctive format, that would definitely get my attention. Right now, a lot of it looks and sounds the same.
Is content consumption always “on” for you, or are there moments when you actively seek things out?
Personally, I like reading and taking on content. If I’m dealing with a specific business challenge, I’ll actively go out and find solutions to that problem. I’ll ignore a lot of content that feels generic or irrelevant, but when I need to dig into something, I’ll seek it out.
You’ve held senior GTM roles across major organisations. When you look at a marketing dashboard, what’s the metric you care most about and which ones do you have no time for?
The metric I care about most is marketing-sourced pipeline, but it needs to be real pipeline. Opportunities that are actionable and can turn into revenue.
Marketing-attributed revenue is another key one. A single number that shows whether marketing is genuinely helping grow the business.
Those metrics aren’t always available straight away because they rely on good data, systems, and workflows. That data might come from the website, events, inbound enquiries — wherever. But that’s what I want to see.
Vanity metrics, on the other hand, things that look good on dashboards but don’t translate into revenue, are less helpful. Page impressions, generic page views, follower counts: they matter, but they don’t tell me whether we’re generating qualified demand or revenue.
You’re also a practicing artist. Has creativity influenced your approach to marketing?
I’ve been painting pretty much all my life. I wanted to go to art college originally, but my dad encouraged me to get what he called a “proper degree”.
A few years ago I had some downtime and got back into my artwork. We have a place in Cornwall, and I started creating sea-life-inspired pieces in a pop-art style. A gallery there picked them up and began exhibiting them.
So yes, creativity has always been part of who I am.
How does that creative side show up in your marketing philosophy, particularly around brand versus performance?
Brand awareness is vitally important. It doesn’t always translate immediately into revenue metrics, but being known for something, what you’re good at, what you stand for, really matters.
That said, particularly in tougher times, you have to stay focused on growth and revenue. Some marketing metrics simply don’t add value when you’re trying to understand how the business is actually performing.
So it’s about balance. Brand supports long-term growth, but it has to sit alongside clear commercial outcomes.
If a downturn hits and budgets need to be cut quickly, where do you start?
I wouldn’t start by cutting marketing. It’s counterintuitive. You can’t cut your way out of trouble, you have to grow your way out.
Marketing is a lever for growth, not a discretionary cost. I’d look elsewhere first: vendor consolidation, travel, back-office duplication, non-core projects.
In one organisation I worked in, we had around 800 internal projects running at once, many solving the same problems in different ways across regions. We shut most of them down and replaced them with a smaller number of consistent initiatives. The cost savings were significant.
If marketing cuts are unavoidable, it should be about reallocation, not elimination. Dial back experimental activity, but protect channels that reliably generate demand; account-based marketing, targeted industry events, proven performance channels.
You’ve written about the productivity paradox. Are marketers over-tooled?
Yes, I think there are too many tools in most organisations, and that adds complexity. Individually the tools are fine, but collectively - especially in global organisations - they create friction, and friction reduces productivity.
I’ve worked in businesses operating across 30 countries, each with its own CRM system, analytics tools, and implementations. That fragmentation adds cost and slows everything down.
There are huge savings and productivity gains to be made through consolidation. There are dozens of platforms- HubSpot, Salesforce, Marketo, Pardot, Mailchimp, Hootsuite and many more - all doing similar things.
Reducing the number of tools and standardising how they’re used is absolutely key.
Watch the full interview on the B2B Marketing United YouTube channel.
London
Feb 9, 2026
Rich Fitzmaurice
Letters
Dear Rich,
I am under pressure from my CEO and CCO because they are increasingly obsessed with AI chatbots. Apparently the chatbots don't know much about our firm but can answer questions about our competitors. I am interim head of marketing and I'm feeling like I don't have long to address this before it harms my prospects for the gig full time.
I understand organic content is still valuable but how exactly do I get our firm and our products into ChatGPT or Claude?
Rebecca, Manchester
Dear Rebecca,
Your CEO and CCO have stumbled onto something increasingly real. To be fair to them, I think they are right, you need to treat this as a priority.
Prospective buyers are using AI tools to shortlist vendors before they ever land on your website. A CFO types "which platforms offer AI-powered forecasting" into Copilot. A procurement director asks ChatGPT "who are the main providers of X in the UK." None of them went to Google first (who would have said that just a year ago?!). And when the AI answered, it named specific brands. If yours wasn't one of them, you lost ground in a conversation you didn't know was happening.
The discipline you need is called AEO. Answer Engine Optimisation. It's what SEO was in 2008, which means the window to get ahead of your competitors is open right now, but it won't stay open forever. You can’t open LinkedIn or Instagram or any social media without someone talking about it or pitching a solution.
Here's what you actually do.
First, understand how AI decides what to say. Tools like ChatGPT were trained on web data up to a certain point. What they know about your company comes from that training: your content, your press mentions, your directory listings, third-party coverage. Retrieval-based tools like Perplexity pull live web data. Google's AI Overviews blend both. No single fix works across all of them. But the underlying principle is consistent. AI rewards clarity, consistency, and credibility.
Start with an audit. Open ChatGPT, Perplexity, and Claude. Ask the questions your buyers actually ask. "What are the best platforms for [your category]?" "Which providers work with [your target industry]?" "Tell me about [your brand name]." Note where you appear. Note where your competitors appear instead. Run fifteen to twenty prompts. The gaps become your priority list. This also gives you something concrete to take back to your CEO this week, which, given your situation, is not a small thing. It shows you are on it.
(Important Note: We see the need, so B2B Marketing United have decided to build our own ‘AI Search Scout Report’ tool to conduct this audit for free and get you started. We’ll release it soon so sign up to the newsletter on our website for updates.)
Then look at your own website. AI systems parse content differently from humans. They break pages into individual passages and evaluate each one independently. Clear headings, direct answers at the top of each section, and specific factual statements all increase the chance of being cited. A page that says "our platform processes two million transactions per day with 99.9% uptime" is far more citable than one that says "we offer industry-leading reliability." Specific beats vague. Every time. Go through your most important pages and make them legible to a machine. This means leading each section with a direct answer, adding FAQ sections that mirror the actual questions buyers ask, and replacing any claim that a journalist couldn't quote with one that they could.
Build your authority footprint outside your own site. Here's the thing most marketers miss. What others say about you matters at least as much as what you say about yourself. Often more. AI models weight sources by perceived credibility. Coverage in respected industry publications, bylines on high-authority sites, mentions from recognised experts: these all increase the probability that AI treats your brand as worth citing. One well-placed article in a credible trade publication does more for your AI visibility than ten posts on your own blog. I said it in our AEO how-to and I'll say it again here: PR is making a comeback, and this is the big reason why.
Fix your entity consistency. This is the unglamorous work that nobody wants to do and that most companies haven't done. Audit every place your brand appears online. Your website, your LinkedIn page, your Google Business Profile, your directory listings, your press mentions. Make sure your brand name, description, category, and key facts are identical everywhere. If your founding year, product description, or company category varies between sources, AI loses confidence in citing any of them. Content and Comms teams must be loving that all their hard work insisting on ‘core scripts’ and ‘factbooks’ are now more than justified and back in vogue.
Use the language your buyers use. AI categorises content using semantic relationships. If your website speaks in internal jargon and your buyers are searching in plain English, the connection AI needs to make between your brand and their queries simply won't be there. Write for their vocabulary, not yours.
The pressure you're under is real. But the good news is that fixing this is visible work. You can show your CEO a before and after. The audit alone demonstrates that you understand the problem and are taking action. The content and authority work demonstrates that you're addressing it. Most of your competitors haven't even started. That's your advantage, and your argument for the full-time role.
Move fast. Document what you do. Show the change. Get that job permanently!
Onwards!
Rich
For a fast read on the full AEO playbook, our how-to is here: How to use AEO to get your B2B brand into AI answers. And if you want to know exactly where you stand right now, the B2BMU AI Scout Report will audit your AI visibility for free just get in touch with the team via the website at www.b2bmarketing.com
Dear Rich,
I am under pressure from my CEO and CCO because they are increasingly obsessed with AI chatbots. Apparently the chatbots don't know much about our firm but can answer questions about our competitors. I am interim head of marketing and I'm feeling like I don't have long to address this before it harms my prospects for the gig full time.
I understand organic content is still valuable but how exactly do I get our firm and our products into ChatGPT or Claude?
Rebecca, Manchester
Dear Rebecca,
Your CEO and CCO have stumbled onto something increasingly real. To be fair to them, I think they are right, you need to treat this as a priority.
Prospective buyers are using AI tools to shortlist vendors before they ever land on your website. A CFO types "which platforms offer AI-powered forecasting" into Copilot. A procurement director asks ChatGPT "who are the main providers of X in the UK." None of them went to Google first (who would have said that just a year ago?!). And when the AI answered, it named specific brands. If yours wasn't one of them, you lost ground in a conversation you didn't know was happening.
The discipline you need is called AEO. Answer Engine Optimisation. It's what SEO was in 2008, which means the window to get ahead of your competitors is open right now, but it won't stay open forever. You can’t open LinkedIn or Instagram or any social media without someone talking about it or pitching a solution.
Here's what you actually do.
First, understand how AI decides what to say. Tools like ChatGPT were trained on web data up to a certain point. What they know about your company comes from that training: your content, your press mentions, your directory listings, third-party coverage. Retrieval-based tools like Perplexity pull live web data. Google's AI Overviews blend both. No single fix works across all of them. But the underlying principle is consistent. AI rewards clarity, consistency, and credibility.
Start with an audit. Open ChatGPT, Perplexity, and Claude. Ask the questions your buyers actually ask. "What are the best platforms for [your category]?" "Which providers work with [your target industry]?" "Tell me about [your brand name]." Note where you appear. Note where your competitors appear instead. Run fifteen to twenty prompts. The gaps become your priority list. This also gives you something concrete to take back to your CEO this week, which, given your situation, is not a small thing. It shows you are on it.
(Important Note: We see the need, so B2B Marketing United have decided to build our own ‘AI Search Scout Report’ tool to conduct this audit for free and get you started. We’ll release it soon so sign up to the newsletter on our website for updates.)
Then look at your own website. AI systems parse content differently from humans. They break pages into individual passages and evaluate each one independently. Clear headings, direct answers at the top of each section, and specific factual statements all increase the chance of being cited. A page that says "our platform processes two million transactions per day with 99.9% uptime" is far more citable than one that says "we offer industry-leading reliability." Specific beats vague. Every time. Go through your most important pages and make them legible to a machine. This means leading each section with a direct answer, adding FAQ sections that mirror the actual questions buyers ask, and replacing any claim that a journalist couldn't quote with one that they could.
Build your authority footprint outside your own site. Here's the thing most marketers miss. What others say about you matters at least as much as what you say about yourself. Often more. AI models weight sources by perceived credibility. Coverage in respected industry publications, bylines on high-authority sites, mentions from recognised experts: these all increase the probability that AI treats your brand as worth citing. One well-placed article in a credible trade publication does more for your AI visibility than ten posts on your own blog. I said it in our AEO how-to and I'll say it again here: PR is making a comeback, and this is the big reason why.
Fix your entity consistency. This is the unglamorous work that nobody wants to do and that most companies haven't done. Audit every place your brand appears online. Your website, your LinkedIn page, your Google Business Profile, your directory listings, your press mentions. Make sure your brand name, description, category, and key facts are identical everywhere. If your founding year, product description, or company category varies between sources, AI loses confidence in citing any of them. Content and Comms teams must be loving that all their hard work insisting on ‘core scripts’ and ‘factbooks’ are now more than justified and back in vogue.
Use the language your buyers use. AI categorises content using semantic relationships. If your website speaks in internal jargon and your buyers are searching in plain English, the connection AI needs to make between your brand and their queries simply won't be there. Write for their vocabulary, not yours.
The pressure you're under is real. But the good news is that fixing this is visible work. You can show your CEO a before and after. The audit alone demonstrates that you understand the problem and are taking action. The content and authority work demonstrates that you're addressing it. Most of your competitors haven't even started. That's your advantage, and your argument for the full-time role.
Move fast. Document what you do. Show the change. Get that job permanently!
Onwards!
Rich
For a fast read on the full AEO playbook, our how-to is here: How to use AEO to get your B2B brand into AI answers. And if you want to know exactly where you stand right now, the B2BMU AI Scout Report will audit your AI visibility for free just get in touch with the team via the website at www.b2bmarketing.com
Dear Rich,
I am under pressure from my CEO and CCO because they are increasingly obsessed with AI chatbots. Apparently the chatbots don't know much about our firm but can answer questions about our competitors. I am interim head of marketing and I'm feeling like I don't have long to address this before it harms my prospects for the gig full time.
I understand organic content is still valuable but how exactly do I get our firm and our products into ChatGPT or Claude?
Rebecca, Manchester
Dear Rebecca,
Your CEO and CCO have stumbled onto something increasingly real. To be fair to them, I think they are right, you need to treat this as a priority.
Prospective buyers are using AI tools to shortlist vendors before they ever land on your website. A CFO types "which platforms offer AI-powered forecasting" into Copilot. A procurement director asks ChatGPT "who are the main providers of X in the UK." None of them went to Google first (who would have said that just a year ago?!). And when the AI answered, it named specific brands. If yours wasn't one of them, you lost ground in a conversation you didn't know was happening.
The discipline you need is called AEO. Answer Engine Optimisation. It's what SEO was in 2008, which means the window to get ahead of your competitors is open right now, but it won't stay open forever. You can’t open LinkedIn or Instagram or any social media without someone talking about it or pitching a solution.
Here's what you actually do.
First, understand how AI decides what to say. Tools like ChatGPT were trained on web data up to a certain point. What they know about your company comes from that training: your content, your press mentions, your directory listings, third-party coverage. Retrieval-based tools like Perplexity pull live web data. Google's AI Overviews blend both. No single fix works across all of them. But the underlying principle is consistent. AI rewards clarity, consistency, and credibility.
Start with an audit. Open ChatGPT, Perplexity, and Claude. Ask the questions your buyers actually ask. "What are the best platforms for [your category]?" "Which providers work with [your target industry]?" "Tell me about [your brand name]." Note where you appear. Note where your competitors appear instead. Run fifteen to twenty prompts. The gaps become your priority list. This also gives you something concrete to take back to your CEO this week, which, given your situation, is not a small thing. It shows you are on it.
(Important Note: We see the need, so B2B Marketing United have decided to build our own ‘AI Search Scout Report’ tool to conduct this audit for free and get you started. We’ll release it soon so sign up to the newsletter on our website for updates.)
Then look at your own website. AI systems parse content differently from humans. They break pages into individual passages and evaluate each one independently. Clear headings, direct answers at the top of each section, and specific factual statements all increase the chance of being cited. A page that says "our platform processes two million transactions per day with 99.9% uptime" is far more citable than one that says "we offer industry-leading reliability." Specific beats vague. Every time. Go through your most important pages and make them legible to a machine. This means leading each section with a direct answer, adding FAQ sections that mirror the actual questions buyers ask, and replacing any claim that a journalist couldn't quote with one that they could.
Build your authority footprint outside your own site. Here's the thing most marketers miss. What others say about you matters at least as much as what you say about yourself. Often more. AI models weight sources by perceived credibility. Coverage in respected industry publications, bylines on high-authority sites, mentions from recognised experts: these all increase the probability that AI treats your brand as worth citing. One well-placed article in a credible trade publication does more for your AI visibility than ten posts on your own blog. I said it in our AEO how-to and I'll say it again here: PR is making a comeback, and this is the big reason why.
Fix your entity consistency. This is the unglamorous work that nobody wants to do and that most companies haven't done. Audit every place your brand appears online. Your website, your LinkedIn page, your Google Business Profile, your directory listings, your press mentions. Make sure your brand name, description, category, and key facts are identical everywhere. If your founding year, product description, or company category varies between sources, AI loses confidence in citing any of them. Content and Comms teams must be loving that all their hard work insisting on ‘core scripts’ and ‘factbooks’ are now more than justified and back in vogue.
Use the language your buyers use. AI categorises content using semantic relationships. If your website speaks in internal jargon and your buyers are searching in plain English, the connection AI needs to make between your brand and their queries simply won't be there. Write for their vocabulary, not yours.
The pressure you're under is real. But the good news is that fixing this is visible work. You can show your CEO a before and after. The audit alone demonstrates that you understand the problem and are taking action. The content and authority work demonstrates that you're addressing it. Most of your competitors haven't even started. That's your advantage, and your argument for the full-time role.
Move fast. Document what you do. Show the change. Get that job permanently!
Onwards!
Rich
For a fast read on the full AEO playbook, our how-to is here: How to use AEO to get your B2B brand into AI answers. And if you want to know exactly where you stand right now, the B2BMU AI Scout Report will audit your AI visibility for free just get in touch with the team via the website at www.b2bmarketing.com
Content
Mar 23, 2026
Content
How to's
We can all sense that something has changed in how buyers conduct their research. But most B2B marketers have not caught up with it yet.
A CFO opens Copilot and types: "Which accounting platforms offer AI-powered forecasting?" A marketing director asks ChatGPT: "What are the best agencies for B2B lead generation?" A Head of IT asks Claude: "What project management software works best for a team of fifty?"
None of them went to Google first. And when the AI answered, it named specific brands. Yours may not have been one of them.
This is the problem that Answer Engine Optimisation (AEO) exists to solve.
What AEO actually is
Answer Engine Optimisation is the practice of structuring your content, your brand presence, and your technical foundations so that AI-powered platforms cite and recommend you when buyers ask questions relevant to your business.
Just as SEO emerged to help brands get found in search engines, AEO has emerged to help brands get found in AI systems. It does not replace SEO. It extends it for an era where the answer, not the link, is the product.
When ChatGPT or Perplexity generates a response to a buyer question, it is not serving a list of links. It is synthesising an answer from sources it considers credible and relevant. Our job, as B2B marketers, is to be one of those sources.
Why this matters right now
Gartner projected that traditional search volume would drop 25% in 2026 as users shift to AI assistants. ChatGPT alone has over 800 million weekly active users. Around 60% of Google searches now end without a single click to a website.
The discovery layer is moving. Buyers are increasingly getting their answers inside the AI response itself, without ever visiting a vendor’s site.
That matters for two reasons beyond the obvious traffic one.
First, the intent behind AI queries is really high. When someone asks an AI for a recommendation, they are past the browsing phase. They want an answer they can act on. AI-referred traffic converts at higher rates than organic search precisely because the AI has already filtered and, implicitly, endorsed.
Second, buyers trust what AI tells them. Probably too much if you've ever had n argument with an LLM (I certainly have!). Research from Capgemini found that 73% of consumers globally trust content created by generative AI. When an AI says “I’d recommend Brand X for this use case”, that carries weight. It lands like expert advice, not an advert.
The brands that build AEO presence now will be the defaults AI recommends for years. Think of SEO in 2008. The companies that invested early still dominate today. The same compounding effect is available in AEO, but only for those who move while most of their competitors are not paying attention.
How AI answer engines decide what to cite
Before you can optimise for AI, you need to understand how it works. It is meaningfully different from traditional search.
Large language models like ChatGPT are trained on vast amounts of web data. What they know about your brand comes from that training: your content, mentions in publications, reviews, directory listings, third-party coverage. When a user asks a question, the model synthesises from everything it has absorbed, weighting sources it considers authoritative.
Retrieval-based systems like Perplexity work differently. They pull real-time information from the web when generating answers, making current content and domain authority more directly relevant.
Google’s AI Overviews blend both approaches, drawing on traditional search signals alongside AI synthesis.
The practical implication is that no single fix works across all platforms (oh, if only it was that easy). A robust AEO strategy has to account for all three models. But the underlying principles are consistent: AI rewards clarity, consistency, and credibility.
The five things AEO actually optimises
Content structure. AI systems parse content differently from humans. They break pages into individual passages and evaluate each one independently. Clear headings, direct answers at the top of each section, factual statements with specific numbers, and Q&A formatting all increase the likelihood of being cited. A page that states “our platform processes two million transactions per day with 99.9% uptime” is far more citable than one that says “we offer industry-leading reliability.” Specific beats vague, always.
Entity recognition. AI needs to understand what your brand is, which category it sits in, and how it relates to other things in its world. This means consistent naming across every platform you appear on, proper schema markup on your website, and presence on the platforms that define entities in AI systems: your Google Knowledge Graph entry, industry directories, authoritative databases. If AI cannot confidently place your brand in a category, it will not confidently recommend you.
Source authority. LLMs weight sources by perceived credibility. Coverage in respected industry publications, thought leadership on high-authority sites, mentions from recognised experts: these all increase the probability that AI treats your content as worth citing. What others say about you matters at least as much as what you say about yourself. Often more. This is why I think PR will make a comeback.
Factual consistency. AI cross-references information across sources. If your founding date, revenue figure, or product description varies between your website, your LinkedIn, your press mentions, and your directory listings, AI loses confidence in citing any of them. Inconsistency reads as unreliability. Fixing it is unglamorous work. It matters enormously. For us B2B marketers, those 'fact books' and 'core scripts' will be coming back in vogue.
Semantic alignment. AI categorises content using semantic relationships. Using the terminology, frameworks, and concepts your industry actually uses, and doing so naturally within authoritative content, strengthens the connection between your brand and the queries you want to own. Write for the buyer’s language, not your internal vocabulary.
How to get started
Step one: audit what AI currently says about you.
Open ChatGPT, Perplexity, and Claude. Ask the questions your buyers actually ask. "What are the best platforms for [your category]?" "Which [your service type] providers work with [your target industry]?" "Tell me about [your brand name]."
Note where you appear. Note how accurately you are described. Note which competitors appear instead of you. This is your baseline. Do it across at least fifteen to twenty prompts that represent your real buyer questions. The gaps you find become your content and authority priorities.
Step two: map your target queries.
Build a list of twenty to thirty questions your ideal customers are likely to ask an AI assistant. Include category queries ("best X software for Y"), comparison queries ("X versus Y versus Z"), and recommendation queries ("which X should I use for this use case"). This is your AEO query universe: the questions you need to own.
Step three: restructure your existing content.
You do not necessarily need to create new content. You need to make what you have more legible to AI systems. Start with your most important pages. Lead each section with a direct answer. Add FAQ sections that use the exact language from your target query list. Replace vague claims with specific, citable statements. Use clear heading hierarchies. Make every section able to stand alone as a passage.
Step four: build your authority footprint.
Identify where AI systems go to assess credibility in your category. Industry publications. Analyst reports. Review platforms. Expert directories. Community platforms that AI crawls: LinkedIn, Reddit, relevant industry forums. Pursue presence on those consistently. Not volume. Consistency and quality. One well-placed byline in a credible industry publication does more for AEO than ten posts on your own blog.
Step five: fix your entity consistency.
Audit every place your brand appears online. Your website, your Google Business Profile, your LinkedIn company page, your directory listings, your press mentions. Make sure your brand name, description, category, and key facts are identical everywhere. This is the kind of work that nobody wants to do but everybody benefits from.
Step six: measure and iterate.
Start tracking how your AI citation rate changes over time. Run your target query list monthly across the main platforms and record where you appear. Track whether AI referral traffic is showing up in your analytics. This will not be perfect attribution. It does not need to be. You are looking for directional signals: more citations, more accurate descriptions, more queries where you feature.
What good AEO looks like in practice
A page that states "our platform processes two million transactions per day with 99.9% uptime" is far more citable than one that says "we offer industry-leading reliability."
A FAQ section that asks "which B2B marketing platforms are best for companies with under fifty employees?" and answers it directly is far more useful to an AI system than a generic features page.
A founder with a consistent, expert-level presence in trade publications is far more likely to have their brand cited than one who only publishes on their own site.
These are not complicated ideas. But most B2B brands are not doing them systematically, yet! Which is the opportunity!
The honest caveat
AEO is not a one-time project. AI models update continuously. What works today may need adjusting in six months. The platforms themselves are evolving. Perplexity’s citation logic is not identical to ChatGPT’s, which is not identical to Google’s AI Overviews.
As marketers, we must build the habit. The brands that treat AEO as an ongoing discipline rather than a box to tick are the ones that will compound advantage over time.
Most companies have not even started yet. That window will not stay open indefinitely.
Want help assessing your current AI visibility? It's something we actually specialize in. Get in touch via our contact us.
We can all sense that something has changed in how buyers conduct their research. But most B2B marketers have not caught up with it yet.
A CFO opens Copilot and types: "Which accounting platforms offer AI-powered forecasting?" A marketing director asks ChatGPT: "What are the best agencies for B2B lead generation?" A Head of IT asks Claude: "What project management software works best for a team of fifty?"
None of them went to Google first. And when the AI answered, it named specific brands. Yours may not have been one of them.
This is the problem that Answer Engine Optimisation (AEO) exists to solve.
What AEO actually is
Answer Engine Optimisation is the practice of structuring your content, your brand presence, and your technical foundations so that AI-powered platforms cite and recommend you when buyers ask questions relevant to your business.
Just as SEO emerged to help brands get found in search engines, AEO has emerged to help brands get found in AI systems. It does not replace SEO. It extends it for an era where the answer, not the link, is the product.
When ChatGPT or Perplexity generates a response to a buyer question, it is not serving a list of links. It is synthesising an answer from sources it considers credible and relevant. Our job, as B2B marketers, is to be one of those sources.
Why this matters right now
Gartner projected that traditional search volume would drop 25% in 2026 as users shift to AI assistants. ChatGPT alone has over 800 million weekly active users. Around 60% of Google searches now end without a single click to a website.
The discovery layer is moving. Buyers are increasingly getting their answers inside the AI response itself, without ever visiting a vendor’s site.
That matters for two reasons beyond the obvious traffic one.
First, the intent behind AI queries is really high. When someone asks an AI for a recommendation, they are past the browsing phase. They want an answer they can act on. AI-referred traffic converts at higher rates than organic search precisely because the AI has already filtered and, implicitly, endorsed.
Second, buyers trust what AI tells them. Probably too much if you've ever had n argument with an LLM (I certainly have!). Research from Capgemini found that 73% of consumers globally trust content created by generative AI. When an AI says “I’d recommend Brand X for this use case”, that carries weight. It lands like expert advice, not an advert.
The brands that build AEO presence now will be the defaults AI recommends for years. Think of SEO in 2008. The companies that invested early still dominate today. The same compounding effect is available in AEO, but only for those who move while most of their competitors are not paying attention.
How AI answer engines decide what to cite
Before you can optimise for AI, you need to understand how it works. It is meaningfully different from traditional search.
Large language models like ChatGPT are trained on vast amounts of web data. What they know about your brand comes from that training: your content, mentions in publications, reviews, directory listings, third-party coverage. When a user asks a question, the model synthesises from everything it has absorbed, weighting sources it considers authoritative.
Retrieval-based systems like Perplexity work differently. They pull real-time information from the web when generating answers, making current content and domain authority more directly relevant.
Google’s AI Overviews blend both approaches, drawing on traditional search signals alongside AI synthesis.
The practical implication is that no single fix works across all platforms (oh, if only it was that easy). A robust AEO strategy has to account for all three models. But the underlying principles are consistent: AI rewards clarity, consistency, and credibility.
The five things AEO actually optimises
Content structure. AI systems parse content differently from humans. They break pages into individual passages and evaluate each one independently. Clear headings, direct answers at the top of each section, factual statements with specific numbers, and Q&A formatting all increase the likelihood of being cited. A page that states “our platform processes two million transactions per day with 99.9% uptime” is far more citable than one that says “we offer industry-leading reliability.” Specific beats vague, always.
Entity recognition. AI needs to understand what your brand is, which category it sits in, and how it relates to other things in its world. This means consistent naming across every platform you appear on, proper schema markup on your website, and presence on the platforms that define entities in AI systems: your Google Knowledge Graph entry, industry directories, authoritative databases. If AI cannot confidently place your brand in a category, it will not confidently recommend you.
Source authority. LLMs weight sources by perceived credibility. Coverage in respected industry publications, thought leadership on high-authority sites, mentions from recognised experts: these all increase the probability that AI treats your content as worth citing. What others say about you matters at least as much as what you say about yourself. Often more. This is why I think PR will make a comeback.
Factual consistency. AI cross-references information across sources. If your founding date, revenue figure, or product description varies between your website, your LinkedIn, your press mentions, and your directory listings, AI loses confidence in citing any of them. Inconsistency reads as unreliability. Fixing it is unglamorous work. It matters enormously. For us B2B marketers, those 'fact books' and 'core scripts' will be coming back in vogue.
Semantic alignment. AI categorises content using semantic relationships. Using the terminology, frameworks, and concepts your industry actually uses, and doing so naturally within authoritative content, strengthens the connection between your brand and the queries you want to own. Write for the buyer’s language, not your internal vocabulary.
How to get started
Step one: audit what AI currently says about you.
Open ChatGPT, Perplexity, and Claude. Ask the questions your buyers actually ask. "What are the best platforms for [your category]?" "Which [your service type] providers work with [your target industry]?" "Tell me about [your brand name]."
Note where you appear. Note how accurately you are described. Note which competitors appear instead of you. This is your baseline. Do it across at least fifteen to twenty prompts that represent your real buyer questions. The gaps you find become your content and authority priorities.
Step two: map your target queries.
Build a list of twenty to thirty questions your ideal customers are likely to ask an AI assistant. Include category queries ("best X software for Y"), comparison queries ("X versus Y versus Z"), and recommendation queries ("which X should I use for this use case"). This is your AEO query universe: the questions you need to own.
Step three: restructure your existing content.
You do not necessarily need to create new content. You need to make what you have more legible to AI systems. Start with your most important pages. Lead each section with a direct answer. Add FAQ sections that use the exact language from your target query list. Replace vague claims with specific, citable statements. Use clear heading hierarchies. Make every section able to stand alone as a passage.
Step four: build your authority footprint.
Identify where AI systems go to assess credibility in your category. Industry publications. Analyst reports. Review platforms. Expert directories. Community platforms that AI crawls: LinkedIn, Reddit, relevant industry forums. Pursue presence on those consistently. Not volume. Consistency and quality. One well-placed byline in a credible industry publication does more for AEO than ten posts on your own blog.
Step five: fix your entity consistency.
Audit every place your brand appears online. Your website, your Google Business Profile, your LinkedIn company page, your directory listings, your press mentions. Make sure your brand name, description, category, and key facts are identical everywhere. This is the kind of work that nobody wants to do but everybody benefits from.
Step six: measure and iterate.
Start tracking how your AI citation rate changes over time. Run your target query list monthly across the main platforms and record where you appear. Track whether AI referral traffic is showing up in your analytics. This will not be perfect attribution. It does not need to be. You are looking for directional signals: more citations, more accurate descriptions, more queries where you feature.
What good AEO looks like in practice
A page that states "our platform processes two million transactions per day with 99.9% uptime" is far more citable than one that says "we offer industry-leading reliability."
A FAQ section that asks "which B2B marketing platforms are best for companies with under fifty employees?" and answers it directly is far more useful to an AI system than a generic features page.
A founder with a consistent, expert-level presence in trade publications is far more likely to have their brand cited than one who only publishes on their own site.
These are not complicated ideas. But most B2B brands are not doing them systematically, yet! Which is the opportunity!
The honest caveat
AEO is not a one-time project. AI models update continuously. What works today may need adjusting in six months. The platforms themselves are evolving. Perplexity’s citation logic is not identical to ChatGPT’s, which is not identical to Google’s AI Overviews.
As marketers, we must build the habit. The brands that treat AEO as an ongoing discipline rather than a box to tick are the ones that will compound advantage over time.
Most companies have not even started yet. That window will not stay open indefinitely.
Want help assessing your current AI visibility? It's something we actually specialize in. Get in touch via our contact us.
We can all sense that something has changed in how buyers conduct their research. But most B2B marketers have not caught up with it yet.
A CFO opens Copilot and types: "Which accounting platforms offer AI-powered forecasting?" A marketing director asks ChatGPT: "What are the best agencies for B2B lead generation?" A Head of IT asks Claude: "What project management software works best for a team of fifty?"
None of them went to Google first. And when the AI answered, it named specific brands. Yours may not have been one of them.
This is the problem that Answer Engine Optimisation (AEO) exists to solve.
What AEO actually is
Answer Engine Optimisation is the practice of structuring your content, your brand presence, and your technical foundations so that AI-powered platforms cite and recommend you when buyers ask questions relevant to your business.
Just as SEO emerged to help brands get found in search engines, AEO has emerged to help brands get found in AI systems. It does not replace SEO. It extends it for an era where the answer, not the link, is the product.
When ChatGPT or Perplexity generates a response to a buyer question, it is not serving a list of links. It is synthesising an answer from sources it considers credible and relevant. Our job, as B2B marketers, is to be one of those sources.
Why this matters right now
Gartner projected that traditional search volume would drop 25% in 2026 as users shift to AI assistants. ChatGPT alone has over 800 million weekly active users. Around 60% of Google searches now end without a single click to a website.
The discovery layer is moving. Buyers are increasingly getting their answers inside the AI response itself, without ever visiting a vendor’s site.
That matters for two reasons beyond the obvious traffic one.
First, the intent behind AI queries is really high. When someone asks an AI for a recommendation, they are past the browsing phase. They want an answer they can act on. AI-referred traffic converts at higher rates than organic search precisely because the AI has already filtered and, implicitly, endorsed.
Second, buyers trust what AI tells them. Probably too much if you've ever had n argument with an LLM (I certainly have!). Research from Capgemini found that 73% of consumers globally trust content created by generative AI. When an AI says “I’d recommend Brand X for this use case”, that carries weight. It lands like expert advice, not an advert.
The brands that build AEO presence now will be the defaults AI recommends for years. Think of SEO in 2008. The companies that invested early still dominate today. The same compounding effect is available in AEO, but only for those who move while most of their competitors are not paying attention.
How AI answer engines decide what to cite
Before you can optimise for AI, you need to understand how it works. It is meaningfully different from traditional search.
Large language models like ChatGPT are trained on vast amounts of web data. What they know about your brand comes from that training: your content, mentions in publications, reviews, directory listings, third-party coverage. When a user asks a question, the model synthesises from everything it has absorbed, weighting sources it considers authoritative.
Retrieval-based systems like Perplexity work differently. They pull real-time information from the web when generating answers, making current content and domain authority more directly relevant.
Google’s AI Overviews blend both approaches, drawing on traditional search signals alongside AI synthesis.
The practical implication is that no single fix works across all platforms (oh, if only it was that easy). A robust AEO strategy has to account for all three models. But the underlying principles are consistent: AI rewards clarity, consistency, and credibility.
The five things AEO actually optimises
Content structure. AI systems parse content differently from humans. They break pages into individual passages and evaluate each one independently. Clear headings, direct answers at the top of each section, factual statements with specific numbers, and Q&A formatting all increase the likelihood of being cited. A page that states “our platform processes two million transactions per day with 99.9% uptime” is far more citable than one that says “we offer industry-leading reliability.” Specific beats vague, always.
Entity recognition. AI needs to understand what your brand is, which category it sits in, and how it relates to other things in its world. This means consistent naming across every platform you appear on, proper schema markup on your website, and presence on the platforms that define entities in AI systems: your Google Knowledge Graph entry, industry directories, authoritative databases. If AI cannot confidently place your brand in a category, it will not confidently recommend you.
Source authority. LLMs weight sources by perceived credibility. Coverage in respected industry publications, thought leadership on high-authority sites, mentions from recognised experts: these all increase the probability that AI treats your content as worth citing. What others say about you matters at least as much as what you say about yourself. Often more. This is why I think PR will make a comeback.
Factual consistency. AI cross-references information across sources. If your founding date, revenue figure, or product description varies between your website, your LinkedIn, your press mentions, and your directory listings, AI loses confidence in citing any of them. Inconsistency reads as unreliability. Fixing it is unglamorous work. It matters enormously. For us B2B marketers, those 'fact books' and 'core scripts' will be coming back in vogue.
Semantic alignment. AI categorises content using semantic relationships. Using the terminology, frameworks, and concepts your industry actually uses, and doing so naturally within authoritative content, strengthens the connection between your brand and the queries you want to own. Write for the buyer’s language, not your internal vocabulary.
How to get started
Step one: audit what AI currently says about you.
Open ChatGPT, Perplexity, and Claude. Ask the questions your buyers actually ask. "What are the best platforms for [your category]?" "Which [your service type] providers work with [your target industry]?" "Tell me about [your brand name]."
Note where you appear. Note how accurately you are described. Note which competitors appear instead of you. This is your baseline. Do it across at least fifteen to twenty prompts that represent your real buyer questions. The gaps you find become your content and authority priorities.
Step two: map your target queries.
Build a list of twenty to thirty questions your ideal customers are likely to ask an AI assistant. Include category queries ("best X software for Y"), comparison queries ("X versus Y versus Z"), and recommendation queries ("which X should I use for this use case"). This is your AEO query universe: the questions you need to own.
Step three: restructure your existing content.
You do not necessarily need to create new content. You need to make what you have more legible to AI systems. Start with your most important pages. Lead each section with a direct answer. Add FAQ sections that use the exact language from your target query list. Replace vague claims with specific, citable statements. Use clear heading hierarchies. Make every section able to stand alone as a passage.
Step four: build your authority footprint.
Identify where AI systems go to assess credibility in your category. Industry publications. Analyst reports. Review platforms. Expert directories. Community platforms that AI crawls: LinkedIn, Reddit, relevant industry forums. Pursue presence on those consistently. Not volume. Consistency and quality. One well-placed byline in a credible industry publication does more for AEO than ten posts on your own blog.
Step five: fix your entity consistency.
Audit every place your brand appears online. Your website, your Google Business Profile, your LinkedIn company page, your directory listings, your press mentions. Make sure your brand name, description, category, and key facts are identical everywhere. This is the kind of work that nobody wants to do but everybody benefits from.
Step six: measure and iterate.
Start tracking how your AI citation rate changes over time. Run your target query list monthly across the main platforms and record where you appear. Track whether AI referral traffic is showing up in your analytics. This will not be perfect attribution. It does not need to be. You are looking for directional signals: more citations, more accurate descriptions, more queries where you feature.
What good AEO looks like in practice
A page that states "our platform processes two million transactions per day with 99.9% uptime" is far more citable than one that says "we offer industry-leading reliability."
A FAQ section that asks "which B2B marketing platforms are best for companies with under fifty employees?" and answers it directly is far more useful to an AI system than a generic features page.
A founder with a consistent, expert-level presence in trade publications is far more likely to have their brand cited than one who only publishes on their own site.
These are not complicated ideas. But most B2B brands are not doing them systematically, yet! Which is the opportunity!
The honest caveat
AEO is not a one-time project. AI models update continuously. What works today may need adjusting in six months. The platforms themselves are evolving. Perplexity’s citation logic is not identical to ChatGPT’s, which is not identical to Google’s AI Overviews.
As marketers, we must build the habit. The brands that treat AEO as an ongoing discipline rather than a box to tick are the ones that will compound advantage over time.
Most companies have not even started yet. That window will not stay open indefinitely.
Want help assessing your current AI visibility? It's something we actually specialize in. Get in touch via our contact us.
Content
Mar 13, 2026
Content
