If you want to compare brand representation across ChatGPT, Perplexity, Gemini and Google AI Overviews, run the same set of buying prompts in all four and record three things: were you named, what source was cited for you, and were you recommended.

That is the whole comparison. Everything else is noise. Different prompts per platform, different days, or different scoring and you are not comparing platforms — you are comparing your own inconsistency.

What comparing brand visibility actually means

Across those four platforms, brand representation comes down to four facts:

  • Mention rate: how often your brand appears for the same prompts
  • Citation rate: how often a page you own or earned is linked as a source
  • Position: are you the answer, one of three options, or a footnote
  • Recommendation language: “best pick” vs. “also offers” vs. just named

Track those separately. A brand can be mentioned a lot in ChatGPT and never cited in Google AI Overviews. That is not one score. That is two different problems to fix.

The reason simple dashboards miss today’s search is they average those four into one visibility percentage. Keep them split by platform and you can act on them.

How ChatGPT, Perplexity, Gemini and Google AI Overviews differ

Do not expect the same behavior. Plan for it:

ChatGPT rewrites itself often and leans on general authority and clear, standalone explanations. Pages built to stand alone tend to survive rewrites better.

Perplexity is citation-heavy. If you are not cited, you are not represented, even if your facts are in the answer.

Gemini leans on Google’s understanding of entities and fresh content. Thin or duplicate pages get skipped.

Google AI Overviews only trigger for some queries and cite a narrow set of pages. A top organic ranking does not guarantee a citation.

That is why groas tracks Google and AI visibility together. The SEO & AI Search Sprint covers all 8 engines: ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Grok, Google’s AI Overviews and Google search, with a weekly report showing where you’re named, what moved, and why.

Pick your method by constraint, not by tool list

If you are a small team with no budget for tooling

Run a fixed set of prompts manually. Same wording, same week, logged in a sheet.

Use a fixed 30-prompt test that covers your category: 10 best-of prompts, 10 comparison prompts, 10 problem prompts. Run it in ChatGPT, Perplexity, Gemini and Google AI Overviews. Score mention, citation, and recommendation language.

Repeat monthly. Do not add prompts mid-stream or you lose the comparison.

Good when: under 50 priority queries, one person owns organic, you just need to know where you stand.

Limit: manual work misses day-to-day rewrites and crawler issues.

You need tracked prompts, AI answers and citations saved over time, plus share of voice by platform. That is what lets you see that Perplexity cites your competitor’s pricing page while Gemini names you but does not recommend you.

This is what groas runs inside its delivery: tracked prompts, AI answers and citations, share of voice, AI crawler visits and referral traffic, backlinks, audit findings, Search Console and GA4, and your content plan. Execution is new pages every day, plus the technical fixes holding you back, and authority built on the sites the engines trust.

Good when: search drives leads, you have more than 100 prompts that matter, or representation swings week to week.

If you run paid and organic together

Compare AI representation against what you already pay for. If ChatGPT Ads and Google Ads convert a query but no AI answer names you organically, you are renting visibility you could also earn.

That is why groas runs paid ads and organic from the same context, so the two never fight each other. The target goes in writing before you pay: 40% More Visibility In Google & AI Answers in 90 days, or we work for free.

How to run a fair cross-platform comparison

  1. Fix 20-30 buying prompts your buyers actually type. No branding in the prompt.
  2. Run each prompt once per platform in the same 48 hours.
  3. For each answer, log: named yes/no, cited yes/no and which URL, rank among brands, and one-line sentiment.
  4. Score by platform, not blended. Report ChatGPT mention rate, Perplexity citation rate, Gemini recommendation rate, and AI Overviews citation rate separately.
  5. Re-run the identical set after every site change. Four sensible site changes can kill citations, so do not change prompts when you change pages.

Ask in plain words what moved. Inside groas you can ask “Compare my brand’s AI visibility over the last month” and get the answer from your own tracked data, not from guesses.

What to fix first per platform

  • Not named anywhere: you lack standalone, citeable pages for that use case. Add one page per prompt cluster with a direct answer up top.
  • Named but never cited: your HTML, structure, or authority is the blocker. Check crawl, clean the markup, and earn mentions on sites the engines trust.
  • Cited in Perplexity but missed in AI Overviews: your source works for chat but not for Google. Align it with Search Console winners and tighten the answer block.
  • Named in all four but never recommended: you are present but not persuasive. Add proof buyers care about: pricing clarity, comparisons, results, and fresh dates.

Start with the platform where buyers decide. For most B2B and local services that is Google AI Overviews plus ChatGPT. Win those, then expand to Gemini and Perplexity with the same pages.

If you want this done for you, the SEO & AI Search Sprint is built for it: any site, even a new one, daily pages, technical fixes, and a weekly report on where you’re named, what moved, and why — with +40% more visibility in Google and AI answers in 90 days or we work for free.