AI answer visibility
Track your mentions
Signalbat watches the recommendation answers buyers now read before they ever land on your site. The point is not a vanity mention count. It is knowing where your brand is present, absent, or being described in a way your team would never choose.
What gets tracked
Each Reading samples buyer-style questions across your market: alternatives, comparisons, pricing intent, implementation concerns, category education, and jobs-to-be-done language. Signalbat records whether your brand appears, which competitors appear with it, and what claim the assistant attaches to each name.
Why it matters
AI answers compress the public market into a few sentences. If your brand is missing from those sentences, the buyer may never know to search for you. If the description is stale, narrow, or wrong, your sales team inherits that confusion later.
How you use it
The daily read shows movement: where you gained visibility, where a competitor displaced you, and which question families need clearer proof. Your team can then decide whether to improve a page, publish a sharper comparison, or earn better third-party evidence.
How it works
- 01
Build the question set
Start with the buyer questions that matter in your category, then keep them stable enough to compare over time.
- 02
Read the answers
Capture which assistants mention you, which competitors they recommend, and the exact wording they use.
- 03
Explain the movement
Turn the raw answer changes into a short daily narrative your team can act on.
What Signalbat brings back
- Mention share by assistant
- Competitor co-mentions
- Answer wording changes
- Prompts where you disappeared