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.

Report how AI answers mention each client's brand

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.

Connect your agent Get the prompt

Build the report in four steps

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

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

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.

Ask your agent

DataForSEOQueries ChatGPT and Perplexity answers and counts mentions

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.

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.

Ask your agent

Anthropic web searchCollects Claude answers and their citations
OpenAI web searchCollects GPT answers and their citations
TavilyReads the cited pages

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

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

Ask your agent

SimilarwebCompares traffic and channels for one period and market
SemrushCompares organic keywords
DataForSEOChecks Google search results

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

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.

Ask your agent

DataForSEOReuses the collected answer evidence
SemrushReuses 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.

Prompt to paste into your agent

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.

Connect your agent

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

AIsa Academy

Watch creators run SEO and GEO checks with AIsa

Three walkthroughs recorded by creators in their own languages, each one playing on the creator's channel.

See all 6 in AIsa Academy

YouTube

Website SEO Audit with GPT-6 Astra: Fix, Re-Audit, Compare | AIsa

By Calvin HiaenEnglish

YouTube

J’ai fait un audit SEO de mon site avec Codex et AIsa : 0,16 € de données

I ran an SEO audit of my site with Codex and AIsa: €0.16 of data

By Guillaume GuersanfrFrench

YouTube

Comment gagner de l’argent avec le référencement IA - AIsa

How to make money with AI search optimization (AIsa)

By Ibrahim KamarafrFrench

Who it suits

The pages for the teams that run this task most.

Marketing agencies

SearchResult

The Unified versionComing soon

Once Unified ships, this task calls these entities and AIsa picks the source.

Open the Unified catalog

Related tasks

Other tasks in the same data domain.

Questions about the visibility report

How mentions are measured, which answers are compared and how the report is used.

For anything else, talk to us.

About this workflow

For anything else, talk to us.

One schema. Every platform.

Set the budget for your first report

The cost depends on the questions, engines and supporting research, and your agent estimates it before running. Trial credits cover the first calls; each result after that is billed from $0.001.

Connect your agent Contact sales

Report how AI answers mention each client's brand

Build the report in four steps

01Mentions

02Citations

03SEO

04Report

Copy the AI visibility report prompt

Watch creators run SEO and GEO checks with AIsa

Website SEO Audit with GPT-6 Astra: Fix, Re-Audit, Compare | AIsa

J’ai fait un audit SEO de mon site avec Codex et AIsa : 0,16 € de données

Comment gagner de l’argent avec le référencement IA - AIsa

Who it suits

The Unified versionComing soon

Related tasks

Questions about the visibility report

About this workflow

How does this AI visibility report work?

Which AI answers can I compare?

How is visibility measured?

Can I export a PDF report?

How does SEO data support the report?

Can I use the report with clients?

Can the report rerun on a schedule?

Set the budget for your first report

Build the report in four steps

01Mentions

02Citations

03SEO

04Report