GEO Barometer: Which AI Tools Do LLMs Actually Recommend?
What this is about
The search market is shifting. More and more buyers no longer type “best e-commerce customer service tool” into Google: they ask ChatGPT, Claude or Perplexity directly. The AI’s answer becomes the new first page of results. And it’s an entirely new ranking, being built right now.
The problem: measuring that ranking is hard. Classic SEO tools (Semrush, Ahrefs) track Google positions, not what the AIs recommend. That’s exactly the gap GEO sets out to fill, and what this page explains.
Why this signal matters for a store owner
If a tool is consistently cited by several AIs when you ask “which tool for my customer service”, that’s an authority signal that’s hard to buy. Where a Google position can be worked with budget and link building, presence in AI recommendations reflects a tool’s real reputation and maturity in its market.
For a store owner choosing a tool, it’s one criterion among several: not proof of absolute quality, but a useful read on market consensus.
How AI visibility is measured
The approach rests on a simple principle: query several AI models with realistic buying prompts, and count which tools actually get cited in their answers.
The relevant models
- ChatGPT (GPT-4o), the most widely used consumer model
- Claude (Sonnet), a reference for reasoning and business analysis
- Gemini, Google’s model, carrying more and more weight
- Perplexity (Sonar), the search-oriented AI with sourced citations
- Mistral, the European model
These five cover the bulk of English-language buying queries to date.
The usage categories
A serious measurement spreads the prompts across the main e-commerce usage categories: customer service, product descriptions, product photos, email marketing, content SEO, ad creatives, analytics, sourcing. Wordings vary (“what’s the best tool for…”, “what do you recommend for…”, “I need a tool that…”) to avoid priming bias.
What we look at
For each tool cited, four dimensions matter: how often it’s mentioned (visibility), whether it appears at the top or bottom of the list (position), whether it’s cited by a single AI or by several (coverage), and whether the citation context is positive or critical (sentiment).
Limits and methodological honesty
No measurement of this kind is perfect, and it’s important to say so.
Language bias. Prompts in English reflect what the AIs recommend for the English-speaking market. A tool that dominates in another region but is little known in English will show up rarely.
Time bias. Models are trained up to a point in time. A tool released after an AI’s cutoff date won’t appear in its answers, even if it’s excellent.
Scoring bias. Any weighting formula is a defensible methodological opinion, not an absolute truth. Different weightings would produce different rankings.
That’s why AI visibility stays, for us, one criterion among several, always cross-checked with our field testing.
Going further
Want to understand how we test tools on real stores? Read our full methodology.
Looking for the best AI tools to start with today? See our 2026 pillar guide.
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Frequently asked questions
What is GEO (Generative Engine Optimization)?
GEO covers the techniques that get a brand or tool cited by generative AI (ChatGPT, Claude, Gemini, Perplexity) in its answers. As buyers increasingly ask an AI instead of Google, being cited by these engines becomes a visibility goal as important as classic search ranking.
What's the difference between SEO and GEO?
SEO optimizes so Google indexes and ranks your pages in traditional search results. GEO optimizes so your brand gets cited by generative AI in its answers. The two disciplines coexist but answer different search behaviors, and a complete 2026 strategy addresses both.
Why measure across several AIs and not just ChatGPT?
Every model has its biases: training corpus, partnerships, cutoff date. Measuring on a single model would give a skewed ranking. Cross-checking several major AIs (ChatGPT, Claude, Gemini, Perplexity, Mistral) cancels out individual biases and gives a signal closer to what a buyer actually sees, whatever model they use.
How does SiftedTools use this signal in its comparisons?
Visibility in AI answers is one of our evaluation criteria, alongside hands-on testing on real stores. When a tool both scores well in our tests and gets cited often by the AIs, it reaches the top of a ranking with high confidence. When the two signals diverge, we say so in the article. See our full methodology.