What Does AI Really Think of Your Brand?

Are you confident that AI is telling the right story about your brand?

You should be worried if you’re not sure. More and more buyers — particularly high-value B2B decision-makers and affluent consumers — are turning to ChatGPT, Gemini, Perplexity, and Grok to research products, compare services, and shortlist suppliers. And every single one of those platforms is constructing a narrative about your brand whether you’ve had any input or not.

That narrative covers everything from your pricing and your product range to your customer service reputation and how you stack up against competitors. If any of it is wrong — outdated information, inaccurate pricing, missing products, negative sentiment pulled from a three-year-old news article — it’s shaping purchase decisions right now. And you might not even know it’s happening.

In this article, we’ll walk through exactly how to audit your brand’s AI visibility, what the results typically reveal, and the practical steps you can take to start correcting the record.

Executive Summary

AI search platforms don’t just return links — they build a reputation profile for your brand based on your own website content, third-party publications, review sites, and news coverage. That profile includes sentiment, pricing perception, product recognition, competitor comparisons, and even visual identity cues. Many businesses are discovering that AI’s version of their brand doesn’t match reality.

Common problems include outdated product information, inaccurate pricing perceptions, missing core services, and negative sentiment driven by old press coverage. Some businesses have unknowingly blocked AI crawlers entirely — meaning their reputation is being shaped exclusively by third-party sources they don’t control.

The good news? You can audit this in under two minutes using Mine My Brand, our free AI brand reputation tool from Exposure Ninja. And once you know what AI thinks, you can start influencing the narrative through targeted onsite and offsite content strategies.

Why Does Your Brand’s AI Reputation Matter?

The shift here is fundamental. Traditional brand reputation management focused on press coverage, review sites, and Google search results. AI search adds an entirely new layer — because AI platforms don’t just surface your content. They interpret it, synthesise it with dozens of other sources, and present a single, authoritative-sounding answer.

Charlie Marchant, CEO of Exposure Ninja, puts it plainly: “In the same way you used to have to think about your brand’s reputation on a larger scale, on a traditional offline sense, we are now also having to think about it in an AI search sense as well.”

This matters most for businesses whose customers are actively using AI tools during their buying journey. If someone asks ChatGPT to compare your product against a competitor’s, the answer it gives isn’t a list of blue links — it’s a confident recommendation. And that recommendation is built from whatever sources AI has decided to trust.

The implications go beyond marketing. Luke Nicholson, COO of Exposure Ninja, highlights a point that often gets overlooked: “A lot of people that I speak to don’t realise that the first step of AI search marketing is making sure that you’re very clear on your messaging. What do you want the public to think about your brand? And how can we make sure that messaging is consistent?”

If your messaging isn’t consistent across your own website, your third-party coverage, and your review profiles, AI will reflect that confusion right back at your potential customers.

What Happens When AI Gets Your Brand Wrong?

The examples coming out of real businesses are eye-opening. Over the past 12 to 18 months, the team here at Exposure Ninja has seen a steady stream of problems — from minor inaccuracies to genuinely damaging misrepresentations.

One of the most striking involved a major mobile phone trading retailer. Charlie explains: “They were accidentally, unknowingly blocking all AI crawlers from their website. ChatGPT wasn’t able to crawl the website.”

The cause? A default Cloudflare setting that the business hadn’t updated. The result was severe. Because AI couldn’t access the company’s own website, every piece of brand information was being pulled exclusively from third-party sources — much of it outdated. Worse still, the company wasn’t appearing in any non-branded AI prompts at all, because the AI models couldn’t reconcile third-party information with the brand’s own site.

Think about what that means in practice. A customer asks ChatGPT where to trade in their old iPhone. This well-known retailer — whose entire business model depends on exactly that query — simply doesn’t appear. That’s not a theoretical risk. That’s revenue walking out the door.

Other common issues include:

• Pricing misperception — brands positioning themselves as premium are being described as mid-range or budget by AI, often because of outdated pricing pages or inconsistent messaging across comparison sites
• Missing or outdated products — AI lists services the business no longer offers, or fails to mention core offerings entirely
• Sentiment distortion — a single negative news article from years ago continues to shape AI’s overall tone about the brand
• Competitor misalignment — AI compares the business against competitors from a completely different market segment, suggesting it fundamentally misunderstands what the business does

Charlie shared an example from the enterprise end of the spectrum: “We had a client in the German DAX Top 30 — a huge, global brand working in the cosmetics sector — come to us worried that their corporate website wasn’t describing them as innovative. Because investors care that brands they’re investing in are going to be innovative.”

The business was genuinely innovative. But AI wasn’t picking that up. The brand descriptors AI was using simply didn’t reflect the company’s actual positioning — and for a publicly listed company, that perception gap carries real financial weight.

How Can You Audit Your Brand’s AI Visibility?

This is where things get practical. Mine My Brand is a free tool built by Exposure Ninja that runs a comprehensive brand reputation audit across the four major AI platforms: ChatGPT, Perplexity, Gemini, and Grok.

The process is deliberately simple. You enter your website URL and your brand name, and within about two minutes, the tool generates a full report. That short wait time is intentional — Mine My Brand runs multiple API connections simultaneously to ensure the data is accurate and current.

The report covers several critical areas, and you can switch between AI platforms to see how each one perceives your brand differently. Here’s what it reveals:

Brand sentiment positioning. This is your headline metric — a clear indicator of whether AI’s overall impression of your brand is positive, neutral, or negative. Charlie notes that most brands tend to skew positive, because AI platforms generally try to present a balanced story. So if your sentiment is coming back neutral or negative, there’s likely something specific driving it down.

Pricing perception. This is one of the most commonly inaccurate areas. AI will state where it believes your brand sits on the pricing spectrum — budget, mid-range, or premium — and that perception may not match your actual positioning. As Luke explains: “It’s not just important what your price actually is, but how people feel about your pricing, what people think your pricing is.”

Brand performance scores. These break down your reputation across dimensions like market positioning, brand clarity, innovation, value for money, and customer focus. They’re presented as clear bar charts — and yes, you can download them directly into your next board presentation.

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Brand descriptors. These are the specific words and phrases AI uses to describe your brand. For a business like Revolut, for example, the tool pulled descriptors like “disruptive,” “fast-moving,” “ambitious,” and “sleek.” It even identified visual design cues — dark UI surfaces and electric blue accent colours — that AI is associating with the brand identity.

Products and services recognition. This shows which of your offerings AI knows about. If you spot old products that should have been retired, or core services that are missing entirely, that’s an immediate action point.

Key competitors. These aren’t your traditional competitors — they’re the businesses AI most commonly compares you against. If that list looks wrong, it’s a strong signal that AI is misunderstanding your market position.

Strengths and weaknesses. Charlie calls this her favourite part of the report: “This is the bit that I would want to get straight to, to understand the gaps that AI models might be flagging.” The strengths are usually reassuring. The weaknesses are where the real value lies — because they show you exactly what’s dragging your AI reputation down.

Reference sources. This is arguably the most actionable section. It shows you the specific URLs — both on your own website and on third-party sites — that AI is using to build its narrative about your brand. If an outdated BBC article or a three-year-old review site is shaping how ChatGPT talks about you, this is where you’ll find it.

What Does a Brand Reputation Report Reveal?

The findings tend to fall into two categories: things you’d expect, and things that genuinely surprise you.

On the expected side, most businesses find that AI has a reasonable grasp of their core offering and market position. The basic facts — what you do, who you do it for, and where you operate — are usually directionally correct.

The surprises come in the details. Pricing perception is consistently one of the biggest gaps. AI search tools always pull pricing pages when they’re available, and if your pricing structure is complex — particularly in B2B SaaS, hospitality, or retail — AI will attempt to summarise it. That summary may not land the way you’d like.

The strengths and weaknesses section often surfaces issues that go well beyond marketing’s direct control. Customer service complaints, staff culture allegations, regulatory concerns — these are all things that AI picks up from news coverage and review sites, and they directly influence brand sentiment.

Charlie makes an important point here: “A lot of what comes into AI’s understanding of a reputation goes beyond just the marketer’s job. These are bigger issues within the business that you want to raise to senior stakeholders to say, okay, what is the business doing so that marketing can make sure they’re correcting the narrative?”

This is exactly why the tool is valuable for marketing leaders specifically. It gives you the evidence you need to take to the boardroom and say: this is how AI perceives us, and here’s what we need to fix — some of which sits outside marketing’s remit.

The competitor analysis also tends to throw up surprises. AI competitors often differ significantly from the businesses you’d normally benchmark against. Some may be smaller, more agile companies that are performing particularly well in AI search. Others may be from adjacent markets that AI has grouped you with — a signal that your positioning isn’t as clear as you thought.

And then there’s the variation between platforms. What ChatGPT says about your brand won’t be identical to what Gemini or Perplexity says. Switching between platforms in the report often reveals subtle but important differences — one might flag slow customer service response times while another highlights a broader trust concern. Both are pulling from different source material, which is exactly why auditing across all four matters.

How Do You Fix What AI Gets Wrong?

The reference sources section is your starting point. Once you know which URLs AI is using to construct your brand narrative, you can take targeted action.

Fix what you control first. If AI is pulling from your own pricing page, your about page, or your product listings, and the information there is outdated, unclear, or inconsistent with your current positioning — update it. This is the lowest-hanging fruit and the fastest path to influencing how AI describes you.

Luke puts it well: “You’re not going to be able to change the whole pricing structure overnight, but you can change how that information is presented and make it so that users have an easier time understanding it.”

Check your Cloudflare and crawler settings. If you’re using Cloudflare or similar security tools, verify that you haven’t accidentally blocked AI crawlers. This is more common than you’d think, and the impact is immediate — if AI can’t access your site, it’s building your entire reputation from what other people say about you.

Influence your third-party coverage. If outdated articles on high-authority sites are shaping AI’s perception, you have options. You can reach out to journalists and publications to update or correct information. You can also pursue new coverage on those same trusted sites — because AI sources refresh over time. Old content will eventually be filtered out as newer, fresher content replaces it.

Charlie explains the strategic thinking here: “These are the sites that AI is trusting. If some of these articles are becoming a little bit old, a little bit outdated — what new content can you get into those publications to start changing that brand narrative in the direction that you want to move now in 2026?”

Clean up legacy content on your own site. Old blog posts, discontinued product pages, and outdated service descriptions can all confuse AI. If you’ve got pages live for offerings you no longer provide, those pages are actively working against your AI brand clarity. Audit them, redirect them, or remove them.

Strengthen your target audience clarity. AI fact-checks itself across multiple sources. It wants to see the same story, the same truth points, coming up consistently to understand who you are, what you do, and who you serve. If you’ve got mixed messaging across different parts of the web — perhaps because old directory listings or outdated partner pages tell a different story to your current website — that inconsistency will show up in your AI reputation.

Think beyond marketing. Some of the issues an AI brand audit surfaces — customer service complaints, staff culture concerns, product complexity — aren’t things marketing can fix alone. But marketing can and should be the function that surfaces these issues with senior leadership, using the AI reputation data as evidence. The board presentation practically writes itself.

Next Steps

This week:

• Run your free brand report at minemybrand.com and review the results across all four AI platforms
• Check your Cloudflare or CDN settings to confirm AI crawlers aren’t being blocked
• Review the reference sources section and flag any outdated or inaccurate URLs — both on your own site and on third-party sites

Over the next 30 days:

• Update your own website content where AI is pulling outdated or inaccurate information — pricing pages, product listings, and about pages are the priority
• Audit your site for legacy content that no longer reflects your current offering and redirect or remove it
• Share the strengths and weaknesses findings with senior stakeholders, particularly where the issues sit outside marketing’s direct control

Over the next 90 days:

• Develop a proactive offsite content strategy targeting the high-authority publications AI already trusts for your brand
• Ensure your brand messaging is consistent across your website, directory listings, partner pages, and social profiles
• Run a follow-up report to track how your AI brand perception has shifted — the premium version of Mine My Brand saves historical reports so you can benchmark progress over time

In Conclusion

Your brand’s AI reputation isn’t a nice-to-know metric — it’s a commercial reality. Every day, potential customers are asking AI platforms to recommend products, compare services, and shortlist suppliers. The answers they get are shaping purchase decisions before those buyers ever visit your website.

The businesses that will come out ahead are the ones that treat AI brand perception with the same seriousness as traditional brand management. That starts with knowing what AI actually thinks — and that’s a two-minute job you can do right now at minemybrand.com.

What you do with the results is up to you. But the brands that act on this data today — fixing inaccuracies, refreshing outdated content, and aligning their messaging across every touchpoint — will be the ones AI confidently recommends tomorrow.

If you’d like expert help turning your AI brand audit into a full strategy, request a free marketing review from the team at Exposure Ninja.

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