When buyers ask an assistant for a shortlist in a category, a few firms are named again and again. The Index measures who, across ChatGPT, Gemini, Claude and Perplexity, on the questions buyers actually ask. It is the scoreboard for AI-mediated discovery.
Four engines. Refreshed monthly.
The Index is built the same way a client baseline is: a public method, fixed prompts, four engines.
A fixed set of buying-intent prompts a real client would ask when building a shortlist.
The same prompts run across ChatGPT, Gemini, Claude and Perplexity.
How often each firm is named or cited as a recommended provider.
Each firm's share of all recommendations, expressed as a percentage.
A position here is an asset. An absence is an opening for the firms named instead.
If a firm appears, the position is worth holding as the engines shift. If it does not, the firms named instead are winning conversations it never sees. The direction is the same in both cases: measure the exact position, then decide what it is worth to be the answer.
Any category can be baselined: your firm, your competitors, your priority prompts, across all four engines. It is the clearest available picture of where a firm stands. A strategy conversation scopes it.
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