For AI search & SEO teams
Your visibility tool tells you what AI says about you.
Botfall shows you what AI did.
You already know the measurement is broken: roughly 71% of ChatGPT's organic visits arrive stamped "Direct" (mid-2026 analyses), GA4's built-in AI channel misses a third to two-thirds of AI traffic, and share-of-voice dashboards ship percentages with no auditable denominator. You can't defend an AEO budget with numbers you can't audit.
| Question | Prompt samplers | Botfall |
|---|---|---|
| What AI says about your brand (sampled prompts) | ✓ | — |
| What agents actually fetched, page by page | — | ✓ |
| Verified operator identity (IP-checked against published ranges) | — | ✓ |
| Fetch → visit → conversion joins, with error bars | — | ✓ |
| Serving cost per agent, and the cost of blocking one | — | ✓ |
Keep the sampler — it answers a different question. Botfall is the denominator underneath it.
"I don't have engineering access to server logs."
Exactly — nobody in your role does, which is why log-file analysis stays a conference talk instead of a monthly number. Botfall needs no log exports and no standing engineering queue: one key in your platform's edge, an hour of a developer's time once, and the ledger renders itself every month after that.
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Then forward the statement. CMOs and CFOs read these.