Should You Stop Tracking Perplexity in Your AI Visibility Reports?

No. Perplexity's share of AI chatbot referral traffic has fallen sharply this year, but the data still shows a shift towards a three-tier AI search market rather than a settled leaderboard of just four players. Brands that drop Perplexity from tracking entirely risk missing a smaller but still valuable audience of high-intent researchers.

What changed?

New data published this week has reignited a debate over which AI platforms actually deserve a place in brand visibility tracking. According to Search Engine Journal, StatCounter's worldwide AI chatbot referral data shows a dramatic change during 2026: in June, Perplexity accounted for 7.91% of AI chatbot referral share, essentially tied with Gemini at 7.94%, but by August, Perplexity had fallen to 4.31% while Gemini had risen to 10.9%.

The trend is not new, but it has accelerated. Back in April, StatCounter's own press release showed Google Gemini overtaking Perplexity to become the second largest source of AI chatbot referrals to websites worldwide for the first time, with Gemini accounting for 8.65% of all AI chatbot referrals globally in March 2026, surpassing Perplexity, which fell to 7.07%. At its peak, Perplexity held a comfortable second place at 12.07% in April 2025, but its share eroded steadily to 7.07% in March 2026, a decline of over 40% from its peak.

The debate over what to do with this data has become public. Search Engine Journal reports that Siege Media CEO Ross Hudgens argued in a recent LinkedIn post that Perplexity's market share is shrinking, so including it alongside ChatGPT, Gemini, Claude and Google's AI search products can give marketers a distorted picture of where their visibility actually matters. He put it bluntly: "Everyone should remove Perplexity from their LLM trackers today."

But referral share is not the whole picture. As Search Engine Journal notes, Similarweb's latest publicly available comparison tells a different story about the size of the individual platforms, putting ChatGPT at 53.9% of worldwide web visits among seven major AI assistants, Gemini at 27.9%, Claude at 9.2%, DeepSeek at 4.1%, Grok at 2.4%, and both Perplexity and Copilot at 1.3%. That gap between usage and referral behaviour is exactly why the "just drop it" argument is too simple.

Why does this matter for your business?

If you run brand monitoring across AI platforms, this data has practical consequences for how you weight your reports. Search Engine Journal's own analysis pushes back on a blanket removal, concluding that the AI search market is clearly concentrating around a handful of major platforms, but it has not reached the point where SEO professionals can confidently focus on the "four major models" and stop looking elsewhere. In fact, the data suggests we may be heading towards a three-tier market rather than a settled leaderboard.

There's also a commercial angle to Perplexity's apparent decline that changes the interpretation. According to research from ivristech.com, the drop happened while the company was growing users and revenue, and publicly reinforcing its permanent no-ads stance through CCO Jesse Dwyer on 15 April. That looks contradictory at first but is not: Perplexity appears to be making a deliberate trade of volume for precision, mass market for high-intent. The same piece reports Perplexity has $200 million ARR and over 100 million users, with subscription tiers from $20 to $200 per month, and cites Ipsos data showing 63% of US adults say ads in AI search results reduce their trust, which Perplexity has used to justify the position.

Separate research suggests the pressure on Perplexity's traffic is partly structural, not just competitive. Analysis from averi.ai argues that Perplexity's original differentiation was precise question-answering with cited sources, but that feature is now replicated across ChatGPT, Claude and Gemini. The comparable feature inside the larger products is good enough that the smaller standalone product can no longer charge a premium of attention. The same analysis cites Sherwood News describing Perplexity as "the only non-Chinese AI to see stagnant growth at the start of 2026".

For B2B brands specifically, the picture looks different again. Goodie's traffic research, cited by multiple sources, found that in a fresh brand panel covering March-April 2026, ChatGPT's share of measurable B2B AI referrals had fallen to 62.6%, Claude reached 18.5%, Gemini reached 10.6%, Perplexity reached 7.3% and Copilot held flat near 4%. That means for B2B marketers, Perplexity's B2B share has actually held up better than its overall consumer referral numbers suggest.

What should you do now?

Rather than dropping Perplexity outright or treating it as an equal to ChatGPT and Gemini, the more defensible approach is tiering your tracking by strategic weight. Search Engine Journal's proposed framework is useful here: tier one should be the platforms with both scale and strategic significance, tracking ChatGPT and Gemini separately rather than averaging them into a generic LLM score, and adding Claude for B2B, enterprise and professional audiences. Google's own AI surfaces deserve their own lane too: tier two should be AI search embedded in established ecosystems, tracking Google AI Overviews and AI Mode separately from ChatGPT, Gemini and Claude, because the goal isn't merely measuring an LLM, it is measuring how AI is changing the search journey.

Before you decide Perplexity isn't worth the effort, check who is actually citing your brand there versus elsewhere. Perplexity's citation behaviour differs meaningfully from ChatGPT's: according to 5W's Citation Source Index, ChatGPT concentrates on Wikipedia, Reddit, Forbes and Business Insider, while Perplexity rewards primary sources, NIH/PubMed and named B2B authority. If your audience skews towards technical, research-heavy or B2B buyers, Perplexity's smaller but higher-intent user base may still be exactly the crowd you want to reach.

The practical takeaway: don't build your entire GEO strategy around one platform's referral chart. Track platforms in proportion to where your specific buyers actually show up, and revisit the weighting every quarter rather than reacting to a single month's dip. If you're not sure how your brand currently appears across ChatGPT, Gemini, Claude and Perplexity, it's worth running a free check of your own AI visibility with Sited's audit tool to see where the gaps actually are before you change your tracking mix.

Frequently asked questions

Should I stop monitoring my brand's visibility on Perplexity?

No. While Perplexity's referral share fell from 7.91% in June to 4.31% by August 2026 while Gemini rose to 10.9%, referral share and audience value are different things. Perplexity's users skew towards high-intent research queries, which matters more for some brands than raw volume.

Why is Gemini gaining ground so quickly?

Google's integration advantage is the main driver. StatCounter's CEO Aodhan Cullen explained that Google has the advantage of integrating Gemini across its ecosystem, including Search, Android, Workspace and Chrome, and this distribution advantage appears to be translating into growing website referral traffic.

Is ChatGPT still the dominant AI search platform?

Yes, by a wide margin on most measures, though its share is falling from earlier highs. Similarweb data cited by Search Engine Journal put ChatGPT at 53.9% of worldwide web visits among seven major AI assistants as of May 2026, still far ahead of any rival.

Does Perplexity's declining referral share mean the company is struggling?

Not necessarily. Despite the referral drop, ivristech.com reports that Perplexity has $200 million ARR and over 100 million users, with subscription tiers from $20 to $200 per month, suggesting the company is prioritising engaged, paying users over raw traffic volume.

How should I weight different AI platforms in my visibility tracking?

Use a tiered approach: prioritise ChatGPT and Gemini as top-tier platforms, add Claude for B2B and professional audiences, track Google AI Overviews and AI Mode separately, and keep Perplexity in the mix at a lower weighting rather than removing it entirely, as recommended in Search Engine Journal's framework.