AI Search Visibility Tracker: ChatGPT & Gemini Brand Mentions
Pricing
$40.00 / 1,000 ai answer analyzeds
Track brand mentions in ChatGPT and Gemini. See if AI recommends you or competitors: visibility rate, rank, share of voice, sentiment, cited sources and gap prompts, plus a shareable HTML report. LLM SEO / GEO / AEO tracking from $0.04 per answer.
The brand to track. Add every website domain it uses and other spellings after pipes, e.g. Notion | notion.com | notion.so | Notion AI. Domains are how the Actor detects when AI answers cite your site, so list all of them.
One per line, same format as the brand: Name | domain.com | alias. Use aliases for names that are common words (e.g. Monday | monday.com).
Questions your buyers ask AI assistants. Don't include your brand name in them. Leave empty and fill in Category to generate prompts automatically.
Used only when Prompts is empty. Describe what you sell, e.g. team wiki and documentation software. The Actor writes buyer-style questions without brand names.
How many prompts to generate from the category.
ChatGPT with web search answers the way ChatGPT does when it searches the web, with cited sources. Model knowledge engines answer from what the model learned in training, showing how it perceives your brand.
[ "chatgpt-search", "gemini-knowledge"]AI answers vary. Asking each prompt 2–3 times gives more stable visibility numbers. Each sample is billed as one answer.
Give the same name on every run (e.g. notion-weekly) and the report shows the trend versus previous runs. Pair with an Apify schedule.
Two-letter country code (e.g. US, GB, DE) to localize ChatGPT web search results.
Language of auto-generated prompts, e.g. German. Defaults to English.
Optional, e.g. marketing managers at mid-size B2B companies.
By default the ChatGPT engine decides itself whether to search, like the real app. Turn on to force a web search on every answer.
Adds sentiment toward your brand, its rank among all brands named, and brands you didn't list. Included in the price.
Store each AI answer's full text in the dataset.
Safety cap on answers per run (prompts × engines × samples).
How many AI requests to run at the same time. Lower it if you hit rate limits.