AI Brand Visibility Monitor - GEO & AI Search Tracker

AI Brand Visibility Monitor - GEO & AI Search Tracker

Track whether a brand appears in AI-generated buyer answers before your buyers ask the same questions.

This Actor runs high-intent prompts through OpenRouter-compatible models on Apify, then turns each answer into structured GEO/AEO signals: brand mention status, competitor mentions, citation URLs, visibility score, and the next content or positioning action.

Use it when an agency, SEO team, or B2B marketer needs recurring evidence for questions like:

• "Does this client appear when buyers ask for the best tools in the category?"
• "Which competitors are AI models recommending instead?"
• "Are our comparison pages, alternative pages, and citations showing up?"
• "What should we publish or fix next?"

Need a client-ready report after the checks finish? Run the companion AI Visibility Report Generator on this Actor's dataset.

Workflow Hub

See the public AI visibility workflow for the monitor -> report path, demo story, and links to both Actors. If you are monitoring a product's presence in AI answers, start with the AI search visibility monitoring use case. For the first proof run, use the AI Brand Monitor demo script and proof GIF.

What You Learn

• Whether your brand appears for high-intent AI search prompts
• Which competitors appear in the same answer
• Whether the answer includes your canonical domain or citation URLs
• How prominently the brand appears compared with alternatives
• What content or positioning action to take next

Use Cases

• GEO/AEO monitoring for agencies and consultants
• AI search visibility tracking for brand and content teams
• Generative engine optimization reporting for high-intent buyer prompts
• Weekly brand visibility checks for B2B SaaS teams
• Competitor comparison monitoring across AI answer models
• Client-ready exports for recurring SEO and content reports
• Early warning when competitors start appearing in high-intent AI answers

Weekly Workflow

1. Pick 5-50 buyer-intent queries for a brand or client.
2. Run this Actor weekly using the same prompt set and competitor list.
3. Review the dataset for low scores, missing brand mentions, competitor appearances, and citation gaps.
4. Send the dataset to AI Visibility Report Generator to create a client-ready summary and action plan.
5. Track score movement over time in Sheets, Slack, a CRM, or an internal reporting dashboard.

Input

Required:

• brandName: Brand or product name to monitor.
• queries: Buyer questions to ask the AI model.

Recommended:

• brandWebsite: Canonical website used to detect citation and domain mentions.
• brandAliases: Alternate names that should count as the brand.
• competitors: Competitor names to detect.
• modelIds: OpenRouter-compatible model IDs. The default is openrouter/auto.

Example:

{
  "brandName": "Apify",
  "brandWebsite": "https://apify.com",
  "brandAliases": ["Apify Actors"],
  "competitors": ["Bright Data", "Oxylabs"],
  "queries": [
    "best web scraping platforms for developers",
    "best tools to extract web data at scale"
  ],
  "modelIds": ["openrouter/auto"],
  "maxQueries": 2,
  "maxModels": 1,
  "maxAnswerTokens": 500
}

Output

Each dataset item represents one brand-query-model check:

{
  "status": "succeeded",
  "brandName": "Apify",
  "query": "best web scraping platforms for developers",
  "modelId": "openrouter/auto",
  "provider": "apify-openrouter",
  "brandMentioned": true,
  "brandPosition": 1,
  "competitorsMentioned": ["Bright Data"],
  "brandDomainMentioned": true,
  "citationUrls": ["https://apify.com"],
  "visibilityScore": 95,
  "recommendation": "Apify appears prominently. Maintain freshness and monitor competitor movement.",
  "checkedAt": "2026-05-11T17:30:00+00:00"
}

The run also writes a SUMMARY key-value-store record with counts, models, provider, and the charge event name.

Demo Analysis

Example agency-client result:

{
  "brandName": "Northstar CRM",
  "query": "best CRM for B2B SaaS teams tracking product-led sales",
  "brandMentioned": false,
  "brandPosition": null,
  "competitorsMentioned": ["HubSpot", "Salesforce", "Pipedrive"],
  "brandDomainMentioned": false,
  "citationUrls": [],
  "visibilityScore": 5,
  "recommendation": "Northstar CRM is absent while HubSpot, Pipedrive, Salesforce appear. Publish comparison, alternatives, and buyer-intent pages that answer this query directly."
}

This real cloud demo run shows the core workflow: run a buyer query, detect when known competitors appear but the monitored brand is absent, and turn the gap into a concrete content or positioning action. The Actor package includes three public-safe demo inputs and real cloud output snapshots in the examples/ folder.

Companion Report Generator

For agency reporting, use this Actor as the data collection step and AI Visibility Report Generator as the reporting step.

The report generator consumes this Actor's dataset and produces:

• Executive summary
• Average visibility score
• Brand mention rate
• Citation rate
• Top competitors
• Priority query gaps
• Recommended next actions
• REPORT.md in the key-value store

Pricing

Default monetization model: pay per event.

Recommended chargeable event:

• Event name: brand-query-model-check
• Event meaning: one completed brand-query-model visibility check
• Store price: $0.08 per completed check
• Pricing activation: scheduled for 2026-05-26T17:18:05Z

The Actor uses the Apify OpenRouter proxy, which is billed as platform usage through Apify. Successful rows are pushed only after the charge path allows the event, and a paid smoke should run after the scheduled activation time.

FAQ

Does this check real AI answers?

Yes. It sends your buyer-intent prompts through OpenRouter-compatible models on Apify and analyzes the returned answers for brand mentions, competitor mentions, citations, and next actions.

Does it log in to ChatGPT, Claude, Gemini, or Perplexity?

No. It uses the Apify OpenRouter proxy, not logged-in consumer AI product sessions. That keeps the workflow easier to schedule and avoids credential handling.

What should I use for the first run?

Start with 2-5 buyer questions, one brand name, the canonical website, and 2-5 competitors. The Store example is public-safe and can be pasted directly.

What do I get back?

Each dataset item is one brand-query-model check with a visibility score, competitor mentions, citation URLs, and a recommendation. The run also writes a SUMMARY record for reporting.

When is it commercially chargeable?

The configured paid event is brand-query-model-check at $0.08, scheduled for 2026-05-26T17:18:05Z. Run a small paid smoke after activation before promoting high-volume use.

Limitations

• Results depend on the selected model and the OpenRouter proxy response.
• The Actor checks AI model answers, not every consumer AI product UI.
• Citation detection is text based. If a model omits URLs, the Actor can still score name visibility but cannot prove citation visibility.
• This Actor does not scrape logged-in ChatGPT, Claude, Gemini, or Perplexity sessions.

Automation And Agent Use

The Actor is designed for scheduled workflows and agent tools:

• One dataset item equals one brand-query-model check.
• visibilityScore, brandMentioned, competitorsMentioned, citationUrls, and recommendation are stable fields for downstream summaries.
• The SUMMARY key-value-store record includes run-level counts, selected models, provider, and billing event name.
• For weekly reports, send the default dataset to Google Sheets, Slack, a CRM, or an internal dashboard.

Local Development

python3 -m pip install -r requirements.txt
ACTOR_TEST_PAY_PER_EVENT=true APIFY_TOKEN=your_token_here apify run --purge --input-file examples/smoke-input.json

The committed smoke input lives in examples/smoke-input.json.

If the Apify OpenRouter proxy returns access_denied from a local run, validate with a cloud run. Apify's AI-agent documentation notes that free-tier accounts may be blocked by anti-fraud protections for OpenRouter access, while the same Actor can still work in the Apify runtime.

Store Positioning

Title:

AI Brand Visibility Monitor - GEO & AI Search Tracker

SEO description:

Track brand mentions, competitor visibility, citations, GEO scores, and action items in AI-generated buyer answers using OpenRouter-compatible models on Apify.

Categories:

• AI
• Marketing
• SEO
• Business intelligence

Search keywords:

• AI brand visibility monitor
• GEO tracker
• AI search visibility
• generative engine optimization
• AI answer monitoring