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Continue reading our latest insights
Continue reading our latest insights
No single engine reflects your real visibility. A brand recommended by Perplexity appeared in only 42% of the equivalent ChatGPT answers in our analysis.
ChatGPT had the broadest recall (41% mention rate), but Perplexity cited brand-owned sources 3.1× more often than any other engine.
Claude favored well-documented brands — those with structured data and clear comparison content surfaced 27% more often on Claude than on Gemini.
Sentiment varied by engine too: the same brand was described positively on one engine and with caveats on another in 23% of cases.
ChatGPT still drives 78.23% of AI-referred traffic (SE Ranking, 2026) — but traffic share and recommendation share are not the same thing.
Most brands that bother to check their AI visibility do it the obvious way: they open ChatGPT, ask a question, and judge their whole standing on that single answer.
That's a mistake — and our data shows exactly why.
The four major answer engines — ChatGPT, Google's Gemini, Anthropic's Claude, and Perplexity — were trained on different data, retrieve information differently, and weight sources differently. The result is that your brand's visibility is not one number. It's four very different numbers, and they rarely agree.
So we set out to measure the spread.
Using Sourceable, we ran 1,800 category-defining buyer prompts across all four engines and recorded, for every brand in every answer: whether it was mentioned, its position, its share of voice vs competitors, the sentiment, and whether the brand's own domain was cited.
(Full methodology at the end.)
The same brands, the same prompts — wildly different exposure depending on the engine.
Engine | Avg. brand mention rate | Strength |
|---|---|---|
ChatGPT | 41% | Broadest recall from training data |
Gemini | 36% | Freshness, tied to Google's index |
Perplexity | 33% | Citation-heavy, rewards linkable sources |
Claude | 29% | Favors structured, well-documented brands |
The takeaway: if you only check ChatGPT, you're seeing your best-case engine. Your real exposure on Perplexity or Claude could be a third lower — and that's exactly where a competitor might be quietly winning.
This was the most useful pattern for marketers.
ChatGPT rewarded brands with broad, long-standing presence across the web — established names with lots of content surfaced most.
Perplexity cited brand-owned sources 3.1× more often than the others — clean, linkable, factual pages were rewarded with direct citations.
Gemini leaned on freshness and Google's index — recently updated, well-indexed content performed best.
Claude favored brands with structured data and clear comparison content, surfacing them 27% more often than Gemini did.
In other words, there's no single "AI SEO" trick. Visibility on each engine is earned slightly differently.
It's not just whether you appear — it's how. In 23% of cases, the same brand was framed positively on one engine and with caveats (or outdated information) on another.
That means a brand could look healthy on ChatGPT while Perplexity is repeating a two-year-old criticism to every buyer who asks. You'd never know unless you checked all four.
Here's the uncomfortable part: when an AI recommends a competitor instead of you — on any of these engines — nothing in your dashboards moves. No referral, no bounce, no ranking drop. The buyer simply never arrives. Multiply that blind spot across four engines, and the gap between what you think your visibility is and what it actually is can be enormous.
Audit all four engines, not one. Treat ChatGPT, Gemini, Claude, and Perplexity as four separate channels — because they behave like it.
Match the signal to the engine. Strong citations help on Perplexity; structured data and comparison content help on Claude; freshness helps on Gemini.
Track sentiment, not just mentions. A caveated or inaccurate mention is a problem you can only fix once you see it.
Benchmark against competitors per engine. You might lead on ChatGPT and trail on Perplexity — the response is different for each.
Measure continuously. AI answers shift; a single snapshot across four engines goes stale fast.
Sourceable's AI visibility tracker runs this exact check across all four engines on a schedule, so you can see the full picture instead of one engine's slice of it.
We analyzed 1,800 category prompts across 240 brands from March to May 2026, querying ChatGPT, Gemini, Claude, and Perplexity on a recurring schedule via Sourceable. For each response we scored mention, position, share of voice, sentiment, and citations. Macro traffic figures are cited from SE Ranking's 2026 research. Limitation: AI answers are probabilistic; we sampled across multiple runs to produce stable trends rather than single-response snapshots.
There's no such thing as "my AI visibility" as a single number. There are four numbers, they rarely agree, and the brands that only check one are flying with three-quarters of the instruments covered.
The shift to AI-driven discovery is already here. The brands that measure it — fully, across every engine — will be the default recommendation in their category. The ones checking ChatGPT once and calling it done will keep wondering why the pipeline is drying up.
Want to see your full picture? Run a free AI visibility check with Sourceable.
Research and analysis by the Sourceable team. Sourceable tracks how AI assistants recommend your brand across ChatGPT, Gemini, Claude, and Perplexity.