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👁 AI Brand Monitor — GEO / AI Search Visibility Tracker

AI Brand Monitor — GEO / AI Search Visibility Tracker

👁 GEO / AEO
 👁 Engines
 👁 Reliability
 👁 Setup
 👁 MCP

Is your brand recommended by ChatGPT, Gemini, Perplexity and Claude — or are your competitors?

Buyers no longer "Google it." They ask an AI. When someone asks "what's the best project management software?", the AI names a handful of brands — and if yours isn't one of them, you lost that customer before you ever saw them. This is the new SEO, and it's called GEO (Generative Engine Optimization) / AEO (Answer Engine Optimization).

This Actor measures, with statistical rigor, exactly how visible your brand is inside AI answers — and tells you what to do about it.

Why this tracker is different

Most AI-visibility tools ask each question once and report the result as if it were the truth. But AI answers are non-deterministic — ask the same question three times and you can get three different brand lists. A single-shot check is noise dressed up as data.

We ran the same prompt 3× during testing and watched the mention rate move between runs. That variance is real — and it's exactly why one-shot tools mislead. We report the rate and the stability, so you know how much to trust each number.

What you get

For a brand + category (and optional competitors), the Actor sends realistic buyer-intent prompts to AI engines with live web search enabled, samples each prompt multiple times, and returns:

Per prompt (one row each):

• Mention rate % — in how many samples your brand appeared
• Stability % — how consistent that outcome was across samples
• Average rank — where your brand lands among the brands the AI lists
• Sentiment — how the AI describes your brand (positive / neutral / critical)
• Competitors mentioned — who you're up against in that answer
• Cited sources — the real domains the AI grounded its answer on
• Answer excerpt — the raw AI response, for evidence

Summary scorecard (one row):

• AI Visibility Index (0–100) — one headline score (mention rate 50% + rank 30% + citation rate 20%), with a band: strong (70+) / mid-tier / visibility gap
• Trend — Δ vs. your previous run for the same brand, so scheduled runs show whether you're gaining or losing ground
• AI visibility % — overall mention rate across all samples and engines
• Share of voice % — your mentions vs. each competitor
• Overall sentiment + breakdown
• Citation rate — how often AI engines cite your own domain as a source (add your brandDomain)
• Top cited sources — the domains shaping answers in your category
• Citation gap — domains that ground competitor-only answers where you're absent. This is your GEO to-do list: earn a presence on these and you move the needle.

Built for automation & AI agents

• Webhooks / alerts — set a webhookUrl and we POST the full scorecard to Slack, Make, Zapier or n8n the moment a run finishes.
• Schedule it — pair with Apify Scheduler for weekly tracking; the trend delta does the rest.
• Agent-friendly inputs — accepts the field names AI agents use interchangeably (brand/brandName/company, competitors/rivals, engines/llms, prompts/questions).

Use it as an MCP tool (inside any AI agent — no install)

Call this Actor directly from Claude, Cursor, ChatGPT agents, LangChain, Make, Zapier or n8n via the Model Context Protocol:

Hosted (zero setup) — point your MCP client at:

https://mcp.apify.com?tools=foxlabs/ai-brand-monitor

Self-hosted (stdio clients — Claude Desktop, Cursor, Cline, Continue):

$npx @apify/actors-mcp-server --tools foxlabs/ai-brand-monitor

{
"mcpServers":{
"ai-brand-monitor":{
"command":"npx",
"args":["-y","@apify/actors-mcp-server","--tools","foxlabs/ai-brand-monitor"],
"env":{"APIFY_TOKEN":"YOUR_APIFY_TOKEN"}
}
}
}

Your agent can then ask "How visible is Notion in AI search?" and get the scorecard back inline.

Quick start

1. Enter your brand (e.g. Notion) and category (e.g. project management software).
2. (Optional) Add competitors to benchmark against.
3. Run it.

That's it — no API keys, no setup. Sensible defaults are pre-filled.

{
"brand":"Notion",
"category":"project management software",
"competitors":["Asana","Trello","ClickUp","Monday.com"],
"engines":["gemini","openai","anthropic"],
"maxPromptsPerEngine":5,
"samplesPerPrompt":3
}

Engines

Three engines run with zero setup — Gemini, ChatGPT and Claude, each with real-time web search enabled. To also query Perplexity, paste your own Perplexity API key in the Advanced inputs; it runs on your account.

Engines disagree more than you'd think. In our own testing, Gemini and ChatGPT both recommended Notion for "project management software" — but Claude didn't mention it at all. Tracking multiple engines is the whole point: your visibility isn't one number, it's different on every surface.

Input reference

How it works (transparent by design)

1. Prompt generation — realistic buyer-intent questions are built from your category (or you supply your own).
2. Multi-sample querying — each prompt is sent to each engine samplesPerPrompt times, with live web search on.
3. Deterministic analysis — brand and competitor mentions are detected by exact token matching (no fuzzy guessing); rank is the order brands appear in; sentiment is classified from the sentences that mention your brand.
4. Aggregation — mention rate, stability, share-of-voice, sentiment, cited sources and the citation gap are computed across all samples.

No scraping, no cookie tricks — only official AI provider APIs.

A note on sentiment (v1): sentiment is classified with a transparent, deterministic keyword model over the brand's mention context. It's a fast, explainable signal — not a black-box LLM judgment.

Who it's for

• SEO / GEO agencies — sell evidence-backed AI-visibility reports to clients (recurring).
• Brand & marketing teams — track your standing vs. competitors over time.
• Founders — find out, today, whether AI is recommending you or your rivals.

Schedule it weekly to watch your AI visibility trend — because the answers change, and so should your strategy.

Built by foXLabs.