LLM Brand Visibility Tracker
Pricing
from $50.00 / 1,000 brand probes
LLM Brand Visibility Tracker
For each query that matters, check whether AI assistants recommend YOUR brand — and which competitors they cite instead. Grounded answers from Perplexity Sonar, GPT and Gemini via your own OpenRouter key. This is GEO: the SEO of the AI era.
LLM Brand Visibility — Are You Cited by ChatGPT, Perplexity & Gemini?
When a buyer asks an AI assistant "what's the best note-taking app?", does it name you — or your competitors? This Actor answers that, query by query, model by model.
The problem
Search is moving into AI answers. If ChatGPT and Perplexity recommend your competitor and never mention you, you're losing demand you can't even see in Google Analytics. GEO (Generative Engine Optimization) is the new SEO — but the SaaS tools that track it (Ahrefs Brand Radar, Profound) cost hundreds a month. This does the core job per-query, pay-as-you-go.
What it does
For every query × model you give it, it runs a grounded LLM answer and reports:
- mentioned — did the model name your brand?
- position — how early (rank among the brands it named)?
- competitorsCited — who it recommended instead.
- snippet — the relevant part of the answer.
Bring your own OpenRouter key
You supply your own OpenRouter API key. LLM token cost is billed to your account — this Actor only orchestrates, parses and scores, so there's no marked-up middle-man LLM fee. One key reaches multiple grounded engines:
| Model ID | Engine |
|---|---|
perplexity/sonar | Perplexity (built-in web search) |
openai/gpt-4o-mini:online | GPT + web plugin |
google/gemini-2.0-flash-001:online | Gemini + web plugin |
Input
{"brand": "Notion","queries": ["best note-taking app", "Notion alternatives"],"models": ["perplexity/sonar"],"lang": "en","openrouterApiKey": "sk-or-...","maxConcurrency": 3}
Output
One row per query × model:
{"brand": "Notion","query": "best note-taking app","model": "perplexity/sonar","mentioned": true,"position": 1,"competitorsCited": ["Obsidian", "Microsoft OneNote", "Evernote"],"snippet": "...","summary": "perplexity/sonar on \"best note-taking app\": Notion MENTIONED (#1); competitors: Obsidian, Microsoft OneNote, Evernote."}
Pricing
Pay-per-event: $0.01 per run + $0.05 per query×model row. You also pay your own LLM tokens (~$0.005/row on Sonar). No monthly seat.
FAQ
Why my own key? So you pay LLM cost at cost, and there's no volume cap from us.
Which languages? Any — set lang (e.g. ru, tr). Grounded models answer natively.
Can an agent call it? Yes — standard Apify Actor, callable via API or the Apify MCP server.
Built by zinin. Questions? Telegram @timzinin.