AI Visibility · 20 August 2026

By Eddie Eastwood, Founder

Who Can Get My Website to Show Up in ChatGPT?

Who can actually show up in ChatGPT?

There's no organic gatekeeper standing between a business and ChatGPT's answers. OpenAI now runs clearly labelled ads in some markets, which businesses buy separately. So "who" isn't quite the right question: showing up looks more like a pattern than a rule to satisfy. Any business whose brand is discussed, cited and consistently described across the web — not just on its own site — can appear in ChatGPT, Google AI Overviews, Perplexity and similar tools. Owning the best-optimised website in your industry doesn't guarantee it, and running a modest one doesn't rule it out either. The strongest available evidence points to your brand's footprint across the rest of the web — press mentions, forum threads, review sites, video appearances and third-party pages — as the factor most closely associated with AI visibility.

That's a different game to traditional SEO, and it calls for a different kind of effort. At QBiz, that's why AEO (answer engine optimisation), GEO (generative engine optimisation) and AI optimisation aren't treated as three separate services — they're one connected discipline aimed at the same outcome: making a brand something AI systems have grounds to mention.

Search stopped being a list of links

ChatGPT had over 900 million weekly active users as of February 2026, up from 500 million in March 2025 — a scale most brands can't afford to treat as a niche channel. The way people search alongside it has changed shape too. Pew Research's analysis of 68,879 real Google searches found that longer, more conversational queries were far more likely to trigger an AI-generated summary: just 8% of one- or two-word searches produced one, but that share rose to 53% for searches of ten words or more. Question-shaped searches ("who," "what," "when," "why") produced an AI summary 60% of the time.

Buyers are increasingly asking full questions and getting answers assembled for them, in-line, before they reach a list of blue links.

The click-through gap: why ranking #1 isn't enough on its own

That shift carries a real cost for anyone relying on organic clicks. Pew's panel data, across 68,879 Google searches, found that when an AI summary appeared, users clicked through to a traditional search result in just 8% of visits. Without an AI summary, that rate nearly doubled, to 15%. Even the AI summary itself rarely earned a click: source links inside the summary were followed in only 1% of visits.

Ranking well in the traditional sense still matters. But on this data, it no longer reliably predicts a visit. If the AI summary answers the question and your brand isn't part of that answer, the click may not happen at all.

What's associated with earning a mention

If ranking position alone doesn't decide who gets cited, what correlates with it? Ahrefs ran one of the largest tests of this to date: a study of 75,000 brands, comparing a set of on-site and off-site factors against how often each brand was mentioned in Google AI Overviews. It's a correlational study — it shows which factors move together with AI Overview visibility, not that any one of them causes it — but the size of the gaps between factors is worth attention.

Brand web mentions — how often and how prominently a brand name shows up anywhere across the web, linked or not — had, by a wide margin, the strongest correlation with AI Overview visibility in the study, at 0.664 on the Spearman scale. Backlinks, the traditional SEO currency, correlated at just 0.218. Brand anchors (brand-name mentions inside hyperlinked text) came in second at 0.527, and branded search volume third at 0.392. The three strongest correlations were all off-site factors.

The gap compounds at the extremes. Brands in the top 25% for web mentions averaged 169 AI Overview mentions in the study — more than 10x the 14 mentions averaged by the next quartile down. Brands in the bottom half of web mentions barely registered, and 26% of all brands studied had zero AI Overview mentions. As Ahrefs put it, "if your brand sits in the lower 50% of web mentions, you're essentially invisible to AI systems."

One possible reading: link-building alone, however well executed, may only address part of what these systems draw on. Ahrefs' own explanation is that unlinked mentions — text written about a brand elsewhere on the web — carry real weight because "LLMs derive their understanding of a brand's authority from words on the page," not just the link graph. That's the study authors' interpretation of their own data, worth taking seriously without treating it as settled fact.

Not every AI platform draws on the same sources

Building that kind of presence isn't a matter of picking one content format and repeating it. Profound's analysis of roughly 680 million citations across ChatGPT, Google AI Overviews and Perplexity (August 2024–June 2025) found the three platforms lean on meaningfully different source types.

ChatGPT's citations lean toward encyclopedic and established-media sources: Wikipedia is its single most-cited source at 7.8% of total citations, and within ChatGPT's top 10 sources, Wikipedia alone accounts for nearly half (47.9%) of citations. Google AI Overviews and Perplexity, by contrast, both lean more heavily on Reddit — the top source for each — alongside YouTube, LinkedIn, Quora and community platforms. Commercial (.com) domains still dominate ChatGPT's citations overall, at over 80%, with .org sites a distant second at 11.29%.

The practical implication: a brand that only chases backlinks, or only shows up on one type of platform, is likely covering a narrower slice of AI visibility than exists. Being discussed on authority sites, named in press coverage, appearing in video content, and having a presence in community or forum discussion each appear to feed a different platform's citation habits. Distribution across formats and outlets — not depth in just one — looks like the more complete approach across all three platforms.

So, who can get there?

Any business willing to build a genuine, verifiable presence off-site. In practice, that tends to include:

• Press and news mentions that name the brand in a real editorial context, not just a wire-service reprint.
• Guest appearances — podcasts, video interviews, panels — where the brand is discussed by someone other than itself.
• Authority-site and review coverage, where the brand is named, compared or recommended on a site an AI model is likely to draw on.
• Directory and slide-sharing listings, where a brand's name, category and details sit on the structured, high-authority platforms these systems already trust.
• Blog and long-form content, both a brand's own and third-party, that gives AI systems clear, citable text to work with.
• Consistent, accurate on-site information, so that when a platform does look at the brand's own site, it finds structured, verifiable answers rather than marketing copy.

None of this is a technical trick applied once. It's an ongoing distribution effort, tracked by how often and how credibly a brand gets discussed across the parts of the web these platforms cite from.

How QBiz builds this

QBiz Leads AI treats AEO, GEO and AI optimisation as one connected discipline rather than three separate line items, and works across both halves of that problem: the on-site groundwork and the off-site distribution effort. The audit identifies which off-site and on-site signals appear to be missing for a given brand, benchmarked against the patterns above rather than guesswork. The AI-optimisation side works on the brand's own site, aiming to give AI systems clearer, more citable content to draw from — necessary groundwork, but not sufficient on its own once the site itself is in order. The brand-distribution side handles the harder, ongoing part: building placements and mentions across podcasts, blogs, video, news outlets, slide-sharing platforms, directories and authority sites — the mix of formats Profound's data suggests feed different AI platforms' different citation habits.

The goal is durable, cross-format brand presence, not a one-off spike in mentions — the kind that, on the evidence available, is most closely associated with actually being cited.

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