Invite only Free Your own API keys

See where you appear in AI answers.

AI Watch asks the questions your buyers ask, then reads what came back. Whether you were named, who was named instead, and which pages the answer leaned on.

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OpenAI Google Gemini Perplexity Anthropic xAI Grok
Sample answer. How AI Watch reads it

For teams comparing options in this space, most shortlists start with Northwind, which has the broadest integration library, and Trellis, often chosen for reporting.

Your brand is usually mentioned next, and tends to come up when people want something quicker to set up. Reviewers point to its pricing being easier to predict.

Smaller alternatives exist, though coverage of them is thinner and Northwind is cited more often than any of them.

You: named third Rivals: two named first Sources cited: two

Movement, not a number that drifts.

Anyone can hand you a score. The useful question is what changed since last week, and whether you need to do something about it.

01 / Change

What changed since last time

Every run is compared with the previous run on the same engine. You get the prompt that stopped naming you, not a score that quietly slid.

02 / Rivals

Who was named instead

Only rivals you declare are counted, so share of voice means something. Different spellings fold into one name rather than splitting a competitor in two.

03 / Position

How early you appear

Position is distance into the answer, normalised against its length. Being named in the first sentence is not the same as the last.

04 / Sources

Which pages were cited

The exact URLs each engine leaned on, split by engine. The most directly actionable list here. Those are the pages worth being on.

Your keys, your spend, no markup.

You bring your own API key for each engine, so runs happen on your account at cost. Before a batch runs, the app shows how many prompts and engines it covers and roughly what it will spend. A monthly cap stops it there.

Free and invite-only, which is a deliberate limit rather than a launch offer. Each account tracks a small number of brands against a fixed set of stored prompts, so the queue and your bill both stay predictable.

What it deliberately does not do.

Worth knowing before you start, rather than discovering later.