How much does each check cost?

Each platform lookup costs approximately $0.10 via the DataForSEO AI Optimization LLM Mentions Search endpoint (up to 1,000 mentions per call). If you select Both platforms the tool makes two API calls, so the cost is roughly $0.20 per run.

How should I enter domains?

Enter bare domains without the protocol, for example example.com rather than https://example.com. You can query up to 10 entities (domains or brand names) in a single run.

What columns appear in the results?

The results table shows: the question the AI model answered, AI search volume, the number of sources cited, the count of fan-out queries generated, platform, model name, and first and last response dates for each mention.

What export formats are available?

You can download a CSV (flat table) or an Excel workbook. The Excel export includes a separate Top Cited Domains sheet summarising which domains were referenced most often across all mentions.

What does the sources count tell me?

Sources count is the number of distinct URLs the AI model cited when answering that question. A higher count means the model pulled evidence from more pages, which indicates a broader citation opportunity for domains that rank well for the topic.

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AI Visibility Checker

Use cases

Auditing which AI platforms cite your domain Benchmarking AI visibility against competitors Identifying which questions trigger citations to your site Discovering the fan-out queries AI generates around your topics

Queries the DataForSEO AI Optimization LLM Mentions Search endpoint to find which questions trigger AI answers that cite your domain or competitors.

Supports Google AI Overviews, ChatGPT, or both platforms.

Shows per-mention detail including the AI answer text, cited sources with positions, fan-out queries, and brand entities.

Aggregates top cited domains across all mentions and exports results as CSV or Excel.

Platform

Python script (requires Python 3.x)

Input

DataForSEO API credentials (login and password)

Up to 10 domains or brand entities

Platform, location, language, and results limit settings

Output

Summary metrics (total mentions, AI search volume, unique questions, top cited domains), interactive per-mention detail, and downloadable CSV/Excel with all mention data.

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Features

Check up to 10 domains or brand entities per query
Platform selector: Google AI Overviews, ChatGPT, or Both
12 location and 8 language options
Results limit slider (10-1000 mentions per call)
Top cited domains aggregation across all mentions
Expandable per-mention detail: AI answer, sources, fan-out queries
CSV and Excel download with separate Mentions and Top Cited Domains sheets

How to use

1 Enter DataForSEO credentials in the sidebar
2 Select platform (Google AI Overviews, ChatGPT, or Both)
3 Choose location and language
4 Enter up to 10 domains or entities (one per line)
5 Click Check AI Visibility
6 Review summary stats, top cited domains, and per-mention details
7 Download CSV or Excel export

Frequently asked questions

How much does each check cost?: Each platform lookup costs approximately $0.10 via the DataForSEO AI Optimization LLM Mentions Search endpoint (up to 1,000 mentions per call). If you select Both platforms the tool makes two API calls, so the cost is roughly $0.20 per run.
How should I enter domains?: Enter bare domains without the protocol, for example example.com rather than https://example.com. You can query up to 10 entities (domains or brand names) in a single run.
What columns appear in the results?: The results table shows: the question the AI model answered, AI search volume, the number of sources cited, the count of fan-out queries generated, platform, model name, and first and last response dates for each mention.
What export formats are available?: You can download a CSV (flat table) or an Excel workbook. The Excel export includes a separate Top Cited Domains sheet summarising which domains were referenced most often across all mentions.
What does the sources count tell me?: Sources count is the number of distinct URLs the AI model cited when answering that question. A higher count means the model pulled evidence from more pages, which indicates a broader citation opportunity for domains that rank well for the topic.

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