Brand share of voice
across every AI engine.

Share of voice in AI search is the percentage of cited sources, across a fixed prompt set, that point at your domain or mention your brand. If you scan 100 buying-stage prompts across ChatGPT, Claude, Gemini, and Perplexity and your domain appears in 38 of the returned answers while competitors fill the rest, your share of voice is 38%. Unlike classic SEO share of voice — which is computed from estimated SERP impressions — AI share of voice is computed from the actual citation list each engine returns. It is a presence metric, not an impression estimate, and it should always be reported alongside the share of revenue those citations produced.

Classic share of voice (Ahrefs, Semrush, SimilarWeb) is computed from estimated keyword impressions: total search volume across your keywords, weighted by your rank position. It is an upstream proxy for traffic. Brand share of voice in ChatGPT (and the other AI engines) is downstream: it counts whether your brand or domain actually appears in the answer the user sees. The first metric estimates how often you could be seen on a SERP; the second measures how often you are actually named inside an AI answer. They overlap roughly 60-70% in my own measurement, the same way backlinks and AI citations overlap, and the divergence zone is where teams burn the most effort.

Because a 50% share of voice on prompts that send no buyers is worse than a 10% share on prompts that send paying trials. I have watched a SaaS founder grind a Perplexity share-of-voice number from 8% to 22% on a prompt set that turned out to be almost entirely research-stage queries. The score moved; revenue did not. The fix was not "get more citations" — it was "scan a different prompt set," which only became visible once revenue per citation was reported alongside share. That is the loop Attrifast was built to close.

ChatGPT and ChatGPT Search, Claude with web search, Google Gemini, Perplexity, and Google AI Overviews. Each engine carries its own sub-share so you can see whether your share is concentrated in one model or distributed. This matters because each engine has different citation behavior: Perplexity is citation-dense and always links out, AI Overviews lean on classic ranking, ChatGPT weights brand familiarity in its training corpus, and Claude often summarizes without a clickable link at all. A single aggregate number hides those differences; the engine-level breakdown is what you actually act on.

You bring the prompt list and tag intent (buying, comparison, research). We seed it for you during onboarding using your existing GSC keyword data and your category, but the list is yours and editable. The share calculation is then run only on the prompts you mark as commercially relevant — so the number reflects buyer queries, not vanity queries. The transparent prompt list is also why the score is auditable: if your team disputes a movement, you can drill into the exact prompt, the exact engine output, and the parsed citation list.

When a visitor lands from chatgpt.com, perplexity.ai, gemini.google.com, or any other AI engine, Attrifast captures the referrer server-side on the first visit and stores a first-party session id. When that session later completes a Stripe checkout, the payment_intent.succeeded webhook fires and we join the payment to the originating AI engine. Aggregate that join across a month and you get share of revenue per engine, alongside share of voice per engine. The two numbers usually disagree — which is the entire point.

Yes. Every scan parses the full citation list each engine returns, not just whether you appeared. So the dashboard shows your share, each named competitor's share, and the long-tail share for sources you did not declare. You can add or remove competitors at any time. We cannot tell you the revenue your competitors earned from those citations — only your own Stripe data joins back — but the citation-share leaderboard is fully reported.

Profound and Loamly both publish brand share of voice in AI answers; that is essentially the category they pioneered. The Attrifast difference is the revenue join. Profound is sold by demo into Fortune 500 marketing teams and prices accordingly; Loamly's deeper Intelligence reports start at hundreds to thousands of dollars per report. Attrifast packages the citation-share scan together with the Stripe-side revenue attribution into a single $29/mo Pro plan. We are not the deepest AI-search analytics platform — we are the only one that ties citation share to actual paid trials at SMB pricing.