---
title: "AI visibility report on brand mentions"
description: "Count brand mentions in AI answers with DataForSEO, Claude and GPT web search, trace each cited source and add Similarweb and Semrush context in one report."
canonical: "https://aisa.one/solutions/ai-visibility-tool"
---

# Report how AI answers mention each client's brand

> Count brand mentions in AI answers with DataForSEO, Claude and GPT web search, trace each cited source and add Similarweb and Semrush context in one report.

Test a fixed set of buyer questions across AI answers, count mentions against a stated denominator, trace every cited source, and share a report that shows its method instead of a score.

- Web page: https://aisa.one/solutions/ai-visibility-tool
- Who it suits: Marketing agencies
- Data domain: SEO and GEO
- The Unified version · Coming soon: SearchResult

## Build the report in four steps

The example audits North Studio, a fictional brand. Its answers and counts are not shown as real data.

### 1. Mentions

Mentions are counted among successful responses, with failures listed apart. The result describes this sample, not all AI searches.

Ask your agent:

> Audit the fictional brand North Studio in my market. Test the same buyer questions across available answer engines and compare brand mentions with my competitors.

Sources for this step:

- [DataForSEO](https://aisa.one/catalog/apis/dataforseo): Queries ChatGPT and Perplexity answers and counts mentions

### 2. Citations

A cited source can point to a page to improve or a publisher to contact. A citation alone does not show why an engine recommends a brand.

Ask your agent:

> Collect the cited URLs and inspect their content. Separate a mention of my brand from a link to my website, and identify sources that feature competitors.

Sources for this step:

- Anthropic web search: Collects Claude answers and their citations
- OpenAI web search: Collects GPT answers and their citations
- [Tavily](https://aisa.one/catalog/apis/tavily): Reads the cited pages

### 3. SEO

AI answer gaps are checked against search demand. Traffic estimates stay apart from citation counts, and a new page does not guarantee a recommendation.

Ask your agent:

> Add estimated website traffic, keyword data and Google results to the report. Suggest five priorities, separating evidence, estimates and hypotheses.

Sources for this step:

- [Similarweb](https://aisa.one/catalog/apis/similarweb): Compares traffic and channels for one period and market
- [Semrush](https://aisa.one/catalog/apis/semrush): Compares organic keywords
- [DataForSEO](https://aisa.one/catalog/apis/dataforseo): Checks Google search results

### 4. Report

Your agent assembles the report from the evidence it collected. A PDF depends on your agent's file tools; this page creates no file.

Ask your agent:

> Organize the findings into a client report: summary, method, question-by-question evidence, sources and prioritized actions. Prepare a PDF if your environment supports it and flag missing data.

Sources for this step:

- [DataForSEO](https://aisa.one/catalog/apis/dataforseo): Reuses the collected answer evidence
- [Semrush](https://aisa.one/catalog/apis/semrush): Reuses the verified search findings

## Copy the AI visibility report prompt

Replace the bracketed fields, then paste the prompt into your agent with AIsa connected. Add your own customer questions, or ask the agent to propose a set first.

```text
Create an AI visibility report using available AIsa tools.
Brand and website: [brand] · [website]
Competitors: [competitor brands and domains, or ask the agent to suggest them]
Market, language and budget: [country] · [language] · [maximum research budget]
Questions and goals: [questions buyers ask before choosing a product or service]
[who will read the report and what they need to decide]

Before paid calls, propose the question set, engines and operations, verify availability and pricing, estimate cost and wait for my approval. Ask for a budget if missing.
1. Test a defined set of buyer questions on available answer engines. Record source, engine, date, market and raw responses. Label Anthropic web search and OpenAI web search as API sources if used.
2. Compare brand mentions and website citations with competitors. Show counts and denominators; separate failed calls from valid results. Do not present the sample as overall market share.
3. Inspect cited sources. Add Similarweb, Semrush or DataForSEO research where useful and within budget. Keep traffic estimates, SEO metrics and AI observations distinct.
4. Recommend five prioritized actions with evidence, limitations and follow-up tests. Assemble an executive summary, method, question-level results, citations, action plan and appendix. Provide a structured document and export a PDF if your environment supports it.
Do not invent results. Mark missing data, do not equate API responses with all user experiences, and do not promise rankings. Write in English. Do not publish or contact anyone.
```

Your agent runs the research after you approve its scope and estimated cost.

## Questions about the visibility report

### How does this AI visibility report work?

Your agent tests a defined set of customer questions and records whether your brand appears, which competitors appear and which sources are cited. The report states the method, the date, missing results and the evidence behind each recommendation.

### Which AI answers can I compare?

ChatGPT and Perplexity answers through DataForSEO, plus Claude and GPT through Anthropic and OpenAI web search. Your agent checks current availability and labels each source, because API responses differ from personalized answers in consumer apps.

### How is visibility measured?

As brand mentions among successful responses, with the numerator and denominator shown. Questions, market and engines are fixed first, and failed queries are reported apart. The result is a snapshot of your sample, not market share.

### Can I export a PDF report?

Yes, if your agent can create files. Ask it to export the report with its tables and source links; this page itself generates no PDF.

### How does SEO data support the report?

As context for prioritizing pages. Similarweb adds traffic estimates, and Semrush and DataForSEO add search and keyword data. SEO metrics alone do not establish AI visibility.

### Can I use the report with clients?

Yes. Agree the scope with your client and review the evidence before delivery. A report cannot guarantee future citations or sales.

### Can the report rerun on a schedule?

Only through your agent's own scheduler. Each run is fresh research after you approve the budget, and repeat runs need a schedule in an environment that supports one.

## Related tasks

- [Track trending keywords](https://aisa.one/solutions/trending-keywords.md): Run the open-source New Term Radar to find new AI terms on X, GitHub and Hugging Face. Each daily report checks search demand. For Creators and Marketing agencies
- [Plan content for AI answers](https://aisa.one/solutions/generative-engine-optimization.md): Test buyer questions in AI answers, see which brands and sources they cite, and plan content on your site, YouTube and Reddit. For Marketing agencies
- [Analyze website traffic](https://aisa.one/solutions/website-traffic-analysis.md): Compare channels, search terms and popular pages for your site or any other. Each table names its period and country. For Marketing agencies and Cross-border sellers