AI VISIBILITY AUDIT FOR BRANDS
Last month I asked ChatGPT to describe one of the outdoor brands I'd been researching. The answer arrived in confident, authoritative prose. Four sentences. Clean paragraphs. The kind of summary you'd trust.
Three of the four facts were wrong. The country was wrong. The materials were wrong. The positioning the brand had spent years building wasn't mentioned at all.
This isn't unusual. It's the new normal. And if you're running a brand right now, there's something you need to understand about how the next decade of customer discovery is going to work.
The quiet shift nobody announced
For thirty years, finding things on the internet meant typing words into a box and clicking a blue link. Brands won by being findable. SEO was a game of ranking high and earning the click.
That game is ending. Increasingly, customers don't click. They ask. They ask ChatGPT. They read Google's AI Overview at the top of the results page. They use Perplexity, Gemini, Copilot, and a growing crowd of AI assistants that don't give them ten options to choose from — they give them an answer.
The answer is the answer. Most people read it, take it at face value, and move on with their day.
If that answer doesn't include your brand, you don't exist in that moment. If it describes you incorrectly, your customers believe the wrong version. If it recommends a competitor instead, you just lost a consideration you'll never know happened.
You can't fix what you can't see. And most brands can't see this at all.
What actually changes
A few specific things are different now, and each one breaks a familiar marketing playbook:
You can be mentioned without being cited. AI systems can recommend your brand to millions of customers without sending a single person to your website. You can become famous and unclickable. Analytics will tell you nothing.
Your competitors' content is controlling your narrative. When AI describes your brand, it synthesises from everything it's ever seen — your website, yes, but also review sites, competitor comparisons, old Reddit threads, Wikipedia edits from 2019. Whoever has the loudest, most authoritative content about your category gets to write your story.
Different AI platforms tell different stories. ChatGPT says one thing, Gemini says another, Perplexity says something else. You now have five different brands, in five different conversations, each reaching different customers. Consistency used to be something you managed. Now it's something that happens to you.
Errors compound. A wrong fact that gets picked up by one AI ends up cited by others, ends up in the training data for the next generation of models, ends up repeated back to your customers for years. Small inaccuracies don't stay small.
The question isn't whether this matters. It matters right now, to every brand, in every category where customers ask questions before they buy.
The question most marketing leaders can't answer
Here's a test. Pick your brand. Pick five questions your customers would plausibly ask before buying from you.
Not "What is [your brand]?" — that's easy mode.
Try questions like:
"What's the best [your category] for [specific use case]?"
"Is [your brand] better than [competitor]?"
"What are the problems with [your brand]?"
"Alternatives to [competitor in your space]"
"[Your category] buying guide 2026"
Now go ask ChatGPT. Ask Perplexity. Ask Google's AI Overview.
What percentage of answers mention you? When they do, what position are you at? What do they say? Whose websites get cited? Are the facts right?
If you can't answer those questions with numbers, you're flying blind in the most important discovery channel of the next decade.
This is where we come in
At the Strategic Narrative Advisory, I've spent the last months building a practice around exactly this problem. I call the diagnostic framework Prism, and it does something specific: it measures, systematically, how AI platforms describe your brand, then produces a strategic report with a prioritised action plan.
Not a dashboard. Not another tool to add to your stack. A senior-consultant-grade audit — the kind of document that lands on a CMO's desk and changes how next quarter's budget gets allocated.
Five specific things I measure, because no single number tells the real story:
Presence — When customers ask about your category, how often do you show up at all?
Distinctiveness — When you do show up, are you the headline or the footnote?
Resonance — Is AI telling the right story about you? Does it capture why you matter?
Citation Authority — Whose websites does AI trust when answering about your category? Often not yours.
Platform Consistency — Does every AI platform tell the same story, or are you five brands in five conversations?
Then I go deeper. I track Share of Response across query types — separating the easy branded queries from the strategically critical category queries where consideration actually gets formed. I measure Narrative Coverage: for each specific attribute you want AI to associate with your brand, how often does it actually show up? I find Authority Gaps — the exact prompts where AI cites your competitors instead of you, one concrete content brief per gap. And I audit your AI governance — which crawlers you're blocking, often without realising you've shut yourself out of whole platforms.
Every output is written in plain language. Every recommendation is tagged by urgency. Every finding ties back to specific evidence you can verify.
Who I have built this for
This isn't universal. There's a floor and a ceiling.
You're the right fit if: you have a brand you've invested in and want to know whether that investment is landing in the way AI describes you. If you're seeing organic traffic soften and suspect AI is part of the story. If your competitors are publicly talking about generative engine optimisation and you need to know where you actually stand before committing budget. If you need a defensible point of view to take to your board about AI's impact on discovery.
You're probably not ready yet if: your brand is genuinely invisible across AI platforms today — that's a different problem requiring a content authority strategy, not an audit. Or if you're looking for someone to guarantee specific AI mentions. Nobody can guarantee that. What I can guarantee is clarity and a credible plan.
Three things will be true in twelve months
The brands paying attention to this now will own the next decade of customer consideration. The work compounds — authority built this year shapes how AI describes you for years afterwards. The brands waiting will wake up to find themselves systematically mis-represented, and they'll have to work twice as hard to correct a story that's already hardened.
And the narrative has already started. Right now. While you're reading this.
If this resonates
I am running diagnostic audits for a small number of brands currently. They're designed to give you a clear answer to the question "how does AI describe our brand, and what do we do about it?" — typically in two weeks from kickoff to findings presentation.
If you are interested, contact me to see how I can help you.
The brands that understand their AI visibility in the next twelve months will be in a different position from the ones that don't. Worth knowing which one you are.
