Product

Measure your brand's visibility in
ChatGPT, Claude, Gemini & beyond

Traditional analytics can't track AI traffic. We built the metrics that can — brand mentions, citations, AI Share of Voice, and competitor displacement.

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Why traditional analytics fails for AI search

AI answers often don't send clicks. Referrer data is inconsistent. GA4 shows no traffic from ChatGPT, Perplexity, or Gemini — even when those platforms are actively recommending your brand (or your competitors).

You need analytics built for AI: metrics that measure influence, not just clicks.

The AI Search Scorecard

Brand Mentions

Citation Count

AI Share of Voice

Prompt Coverage

Competitor Displacement

Source Quality

The process

How AI Search Analytics works

1

Define your prompt set

Start with buyer-intent queries your customers actually use in AI.

2

Run across AI engines

Prompts are tested across ChatGPT, Claude, Gemini, and Grok — with more engines added as we expand coverage.

3

Capture all responses

Every mention, citation, and recommendation is recorded and normalized.

4

Measure your SOV

Your brand's share of AI recommendations is calculated by topic and intent.

5

Benchmark competitors

See exactly where competitors outrank you in AI responses.

6

Get content recommendations

Receive specific guidance on what to create to close visibility gaps.

Who uses AI Search Analytics

B2B SaaS Teams

Track AI recommendations across your product category. Know when buyers ask "what's the best [tool]?" — and whether you appear.

Agencies

Deliver a new tier of AI visibility reporting to clients. Show measurable outcomes beyond rankings and clicks.

Founders

Find out if AI is recommending your product to buyers in your niche — and if not, understand exactly why.

Brands impacted by AI Overviews

Replace lost organic traffic intelligence with AI citation data that actually explains where demand is going.

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See your AI search analytics in 60 seconds

Free analysis — no credit card required until you unlock your full report.

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