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The same question on three platforms: how brands appear on AI Overviews, ChatGPT and Perplexity

By BrandWater AI Research · Published 6 September 2026

6 September 2026 4 min read

Quick answer

Brands appear differently on each platform. Google AI Overviews show a summary with linked pages. ChatGPT writes an answer and may cite links when it searches. Perplexity builds each answer around numbered citations. So the evidence you can observe, and the work that helps, differs.

Key takeaways

  • AI Overviews reward pages Google can index and show with a snippet.
  • ChatGPT can name brands from training knowledge or cite pages when it searches.
  • Perplexity makes sources visible on every answer, which makes gaps easy to see.
How the three platforms present a brand
PlatformWhat you seeWhat to check first
Google AI OverviewsA summary above the results with linked supporting pagesWhether your pages are linked, and whether an overview appears at all
ChatGPTA written answer, with citations when search is usedWhether you are named, where, and which pages are cited
PerplexityAn answer with numbered citations and a visible source listWhich domains are cited and whether they mention you

What do these differences mean for measurement?

A single number across platforms hides the differences. Measuring each separately shows where you are strong and where you are absent, and which kind of work will help.

Where can I read more about each?

  • See the platform pages for how each answers, how brands are listed and what is known about usage worldwide and in India.
  • See the playbooks for practical steps for each platform.

A protocol for comparing platforms fairly

Comparing how one question plays out on Google AI Overviews, ChatGPT and Perplexity is only informative if the comparison is fair. That means the same wording, the same location and language, the same day, and enough repeats on each platform to smooth out the variation between runs. Without that discipline you are comparing three different experiments.

  1. 1Pick ten to fifteen questions that span discovery, comparison and need-based intents.
  2. 2Write each once and use the identical text on every platform.
  3. 3Run each several times per platform and record the full answer and every source shown.
  4. 4Note whether search was used, since an answer built without live retrieval behaves differently.
  5. 5Compare mention rate, description and cited sources per platform, side by side.

What differs at the level of access

The routes by which each platform reads the web are documented, and they differ. Google says a page must be indexed and eligible to show with a snippet to be a supporting link. OpenAI documents OAI-SearchBot for its search features and treats training, search and user-initiated fetches as separate settings. Perplexity documents PerplexityBot for surfacing and linking sites, and notes that Perplexity-User, which fetches a page when a person asks, generally ignores robots.txt because a user requested the fetch.

That last point is a useful reminder. A robots.txt rule is a request to automated crawlers. It is not a lock, and it does not govern every fetch made on behalf of a person. Do not rely on it to keep sensitive content out of an assistant's reach.

Audience differs as well

Share of generative AI website traffic

Similarweb, worldwide website visits, August 2026 against August 2025. Website traffic only. It leaves out mobile apps and system-level entry points such as Android or Windows, so it understates assistants that live inside other products.

  • ChatGPT55.5%vs 73.3%
  • Gemini25.6%vs 12.9%
  • Claude9.3%vs 1.9%
  • DeepSeek3.4%vs 4%
  • Grok2.4%vs 2.6%
  • Copilot1.6%vs 2%
  • Perplexity0.9%vs 2%

August 2026August 2025

The traffic split shows why measuring only one assistant can mislead. A brand that does well on the largest chatbot may still be absent on another that a meaningful share of its buyers use, and the mix has been moving quickly year on year.

Reading a difference correctly

  • If you appear on one platform and not another, compare the cited sources first. The difference is often that one platform retrieved a page that mentions you and the other did not.
  • If the description differs between platforms, check which of your own pages each one used. An outdated page may be feeding one of them.
  • If a platform shows no sources, note that the analysis for it rests on mentions and descriptions only.

Do not average across platforms

A blended score hides the very differences this exercise is meant to reveal. Report each platform separately and combine only for a headline, with the breakdown one click away.
Which platform matters most?

It depends on where your customers ask. Use dated usage data, then measure the platforms your buyers use.

Can I run the same comparison manually?

Yes, with a spreadsheet and discipline about wording, timing and repeats. It becomes slow beyond a few dozen prompts, which is where automation earns its place.

Should I optimise for one platform first?

Start where your buyers are. If you do not know, measure all three for a month and let the data show where you are weakest and where your customers ask.

Sources

  1. 1. Google Search Central: AI features and your website (Accessed Sep 2026)
  2. 2. OpenAI: Overview of OpenAI crawlers (Accessed Sep 2026)
  3. 3. Perplexity: Crawlers (Accessed Sep 2026)

Cite this page

BrandWater AI Research. (2026, 6 September 2026). The same question on three platforms: how brands appear on AI Overviews, ChatGPT and Perplexity. https://brandwaterai.in/blog/same-question-three-platforms

How we work

Figures are dated and linked to their sources. Where none exist we say so. Read our methodology and AI transparency pages.

Put the theory to work on your brand.

Start with a first audit. We show where you appear, who is named instead, and what to fix first.