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A practical guide for B2B brands that want to show up where decisions are actually being made.

What does ChatGPT say about your brand?

Seriously. Have you checked?

Or Gemini, or Perplexity, or Claude? The actual AI tools your customers are using right now to shortlist suppliers, compare options and make buying decisions.

Because here’s the thing. Ranking well in traditional search is no longer enough. Especially in the B2B industry, where AI adoption is now almost universal.

AI platforms don’t just digest the top 10 results and regurgitate them. They scrape information from across the internet, weigh up credibility signals and decide who deserves to be mentioned by name.

And if your brand isn’t showing up in those answers? You’re invisible at the exact moment someone is ready to buy.

If you are mentioned, is it positive? Is it accurate?

From “ranking” to being “mentioned” and “cited”

For years, SEO has been about climbing the rankings. Get to page one. Ideally, position one. Job done.

But AI search works differently. Studies show that a meaningful chunk of Google AI Overview citations come from pages that aren’t even in the top 10. Sometimes not even in the top 100.

Let that sink in for a second.

The pages AI chooses to cite aren’t always the highest-ranking pages. They’re the most cite-worthy pages. The ones that provide clear, trustworthy, repeatable answers that both machines and journalists can confidently reference.

This is a fundamental shift. And it means PR and content strategy are more important than ever.

What makes a brand cite-worthy?

So what actually makes AI tools mention your brand instead of a competitor? Through my work helping marketing teams navigate this shift, I’ve identified four key ingredients.

1. Evidence over assertion

AI models are trained to be cautious. They don’t want to confidently recommend a brand only to be proven wrong. So they look for evidence.

This means:

  • Original data and research that others reference
  • Named experts with verifiable credentials
  • Third-party validation from trusted publications
  • Case studies with specific, measurable outcomes

If your website is full of claims like “We’re the leading provider of X” but no evidence to back it up, AI will quietly ignore you in favour of brands that can prove what they’re saying.

2. Clarity over cleverness

AI tools need to understand what you do, who you do it for, and what makes you different. If your messaging is vague, jargon-heavy or trying too hard to be clever, you’re making it harder for machines to “get” you.

The brands that win AI citations tend to have:

  • Clear, consistent positioning across all channels
  • Simple language that answers questions directly
  • Well-structured content that’s easy to understand

Think about it like this: if a journalist had 30 seconds to understand your brand, would they get it? That’s roughly how AI approaches your content too.

3. Repeatable answers across the web

AI tools don’t just look at your website. They look at what everyone else says about you.

If your brand positioning says one thing, your LinkedIn says another, your press coverage says something else, YouTube videos tell a different story and your industry profiles are outdated… AI gets confused. Consistency helps AI identify trust.

The brands that show up consistently in AI answers have what I call a consistent “source-of-truth”. The same key facts, the same positioning, the same expertise signals, repeated across multiple trusted sources.

4. Entity signals that machines can verify

AI tools are getting better at understanding entities. People, organisations, products, locations. They cross-reference this information across the web to build a picture of who’s credible in which space.

This means:

  • Your founder’s expertise should be visible and verifiable
  • Your brand should have consistent structured data so search engines and AI can easily parse key facts
  • Your key people should have profiles that reinforce your positioning
  • Your company should appear in industry publications that AI reads

It’s not about gaming the system. It’s about making it easy for AI to connect the dots about who you are.

The 4 As of AI Visibility

To help teams actually do something with all this, I use a simple framework: the 4 As of AI Visibility.

ASK. ANSWER. AMPLIFY. ASSESS.

It’s designed to turn AI discovery from a vague concept into something you can see, shape and measure.

ASK: See the reality

What are people actually asking before they buy? And how do AI tools answer those questions today?

This is where most teams need to start. Before you create a strategy, you need to understand the current landscape.

Picture this: your sales team keeps hearing the same three questions on discovery calls. You type one into ChatGPT. Your competitor gets named. You don’t. That’s the gap we’re talking about.

The ASK phase maps your priority questions, audits AI answers across Google AI Overviews, ChatGPT and Perplexity, and identifies who’s winning those answers right now: competitors, publishers, influencers, or nobody at all.

You might be surprised. Sometimes AI is confidently recommending competitors you’ve never worried about. Sometimes it’s giving answers that are completely wrong. Sometimes there’s a gap where nobody is providing a good answer.

ANSWER: Create better answers

If you want AI to talk about you, you need clear, helpful answers it can understand and trust.

This isn’t about keyword stuffing or FAQ schema tricks. It’s about genuinely being the best source of truth for the questions that matter to your customers.

This means:

  • Optimising and creating content around your key questions
  • Structuring your expertise so it’s easy for both humans and machines to understand
  • Mapping your entities (brand, people, products, locations) consistently
  • Adding structured data that helps machines understand who you are

The goal is to become so authoritative on your topic that journalists quote you, AI cites you, Google ranks you and your brand becomes the obvious choice.

AMPLIFY: Earn authority everywhere

Here’s where digital PR becomes essential. AI doesn’t just trust what you say about yourself. It trusts what the wider web says about you.

As Flo, joint MD of Midnight, put it: Digital PR is the lightning rod your SEO strategy needs in the age of AI

She’s right. And I’ll be honest: SEOs like myself have been taking credit for the work of PR teams for years. That era is over. PR is finally getting the credit it deserves.

This means:

  • Aligning PR and content strategy so you win contextual brand mentions
  • Focusing on publications, platforms and communities that actually show up in AI answers
  • Reinforcing your key messages consistently instead of scattering them
  • Building a “source-of-truth footprint” that AI can triangulate

The brands that win AI citations aren’t necessarily the ones with the most backlinks. They’re the ones with the most consistent, contextual, credible mentions across the sources AI trusts.

ASSESS: Measure what matters

Most teams can’t even tell you whether AI mentions them at all. That’s a problem.

This means tracking:

  • How often you appear in AI answers for your priority questions
  • How accurately you’re described when you do appear
  • Changes in branded search volume and sentiment
  • How all of this connects back to leads, sales and trust

PR measurement should link coverage and search metrics to actual business outcomes. Because vanity metrics are just as useless in AI search as they are anywhere else.

A quick note on ethics

While we’re talking about how to influence AI answers, it’s worth addressing something that’s been bubbling up in our industry.

Some people are looking for shortcuts. Creating top 10 articles with their brand positioned number 1, distributing press releases purely for AI, editing Wikipedia pages with a clear conflict of interest. Astroturfing Reddit threads. Gaming the systems AI relies on for “trust signals”.

Here’s my opinion: don’t do it.

Beyond the obvious reputational risk if you get caught, these tactics undermine the very thing that makes AI citations valuable: trust. If everyone starts manipulating the sources AI relies on, those sources become worthless, AI adapts, and we all lose.

The better option is to do the work. Build genuine authority. Create genuinely useful content. Earn mentions from publications that actually matter. It takes more effort, but it compounds. And it won’t blow up in your face.

The opportunity for brand communications

Here’s what excites me about this shift. For years, PR has been seen as a top-of-funnel activity. Brand awareness. Reputation management. Nice to have, hard to measure.

But in the age of AI search, PR is suddenly essential to the entire customer journey. The publications you get mentioned in, the experts you position, the narratives you shape… all of this directly influences whether AI recommends you or your competitor.

PR teams have been doing this work for decades. Now the rest of the business world is finally realising how much it matters.

Ready to see where you stand?

If you want to find out how your brand currently shows up in AI answers (or doesn’t), get in touch with Midnight. From auditing your AI visibility to building the kind of authority that gets you mentioned, this is exactly the kind of thing we help B2B brands with.

About the author

Rik Turner is Midnight’s SEO partner and the founder of PR for AI, helping PR teams earn AI search visibility. He specialises in SEO, GEO, content strategy, PR measurement and facilitating training workshops. Over 16 years in digital marketing, working with brands like M&S, Waitrose, Hotjar, Yell & giffgaff.

Rik Turner

Rik Turner is the founder of PR for AI, helping PR teams earn AI search visibility. He specialises in content strategy, AI search optimisation (AI SEO), and facilitating PR training workshops. With over 16 years of experience in digital marketing, Rik has worked with leading B2B and B2C brands like M&S, Waitrose, Hotjar, Yell, and giffgaff, delivering measurable business impact across multiple industries.