AI Answer Monitor: brand visibility in ChatGPT & Gemini
Pricing
from $50.00 / 1,000 answer checkeds
AI Answer Monitor: brand visibility in ChatGPT & Gemini
Ask Gemini, Claude, ChatGPT and Perplexity your buyers' questions through their official APIs with web search. See if your brand is mentioned, in what position, which competitors appear and which sources are cited. GEO/AEO tracking. Pay per answer.
Pricing
from $50.00 / 1,000 answer checkeds
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Matthew Sammels
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AI Answer Brand Monitor (Factline AI Visibility)
Your buyers ask AI assistants which product to choose. This actor asks Gemini, Claude and ChatGPT the same questions, several times each, and tells you how often your brand is named, in which position, which competitors are named instead and, where the engine searches the web, which websites it cites. Use it to track GEO / AEO (generative engine optimisation).
Why repeat runs
AI answers change every time you ask. One check tells you very little. Set Runs per prompt (default 3) and the SUMMARY gives your mention rate with a 95% interval per engine, so you can see whether a change is real.
What you get
- One dataset row per answer: prompt, engine, run, brand mentioned, position among tracked names, your domain cited, competitors mentioned, all names in order, the answer, sources (Claude and ChatGPT), model, time.
- A SUMMARY record in the key-value store: per engine the mention rate, its 95% interval, share of voice against your competitors, average position and competitor counts.
Engines
- Gemini: the plain model answer (what the model itself recommends).
- Claude: with web search, so answers include cited sources.
- ChatGPT: with web search, on your own OpenAI key (used only for that run).
Pricing
$0.05 per answer from Gemini or Claude. $0.01 per answer from ChatGPT with your own key. Failed calls are free. Max answers per run caps your spend. On the free Apify plan, Gemini and Claude give 2 answers per run as a trial; any paid Apify plan removes the limit.
Also from Factline
The free monthly DevTool AI Index uses the same method to show which developer tools AI assistants recommend.
