AI Brand Visibility Checker
See how your brand should be checked across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Generate buyer prompts, competitor benchmarks, citation tracking fields, and the GEO fixes that explain why AI answers mention competitors instead.
AI brand visibility checker
Check brand mentions, competitors, citations, and AI share of voice
Enter a brand, competitors, and category to generate a prompt-level GEO report for ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. No website URL required.
Buyer-intent prompts
Category, alternative, and comparison questions
Competitor benchmark
Mentions, citations, and winning pages
First GEO fix
The next page or technical action
Takes about 30 seconds. You get an actionable test plan, not a fake live ranking.
Sample report
Brand visibility first, website diagnostics second
GEO buyers usually want to know whether AI answers mention their brand, cite their URLs, recommend competitors, or misrepresent the category. Technical checks still matter, but they explain the visibility gap after prompt evidence is collected.
Brand mention prompts
GenerateCreates category, alternative, versus, review, and buying-guide prompts that buyers ask ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview.
Share of voice
TrackLogs whether your brand, competitors, or third-party sources appear in each answer so teams can compare real AI visibility, not only rankings.
Citation ownership
AuditSeparates owned citations, competitor citations, third-party list citations, and no-citation answers so content teams know what to fix.
Technical GEO cause
DiagnoseUses crawler access, schema, llms.txt, extractability, and freshness checks to explain why the brand is missing or not cited.
AI citation test
Find prompts where competitors could be cited first
New keyword cluster
Long-tail pages for AI search demand
Scoring formula
Built for AI discovery, not just blue links
The audit checks whether engines can crawl the site, identify the brand entity, extract direct answers, and trust the page enough to cite it.
Tool stack
Launch pages for the keywords that matter
Free AI Visibility Checker: Brand Mentions & Citations
Check whether ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews mention your brand or cite your URLs. Generate a repeatable prompt set, compare competitors, and get a next-page GEO fix.
AI Visibility Audit Tool
Run a rule-based AI visibility audit for brand discoverability, competitor citation gaps, platform readiness, technical fixes, and copyable GEO files.
AI Citation Test
Map brand, category, and competitor prompts to likely AI citation gaps, missing comparison pages, and source-backed content fixes.
AI Crawlability Checker
Check whether AI crawlers can fetch your homepage, robots.txt, sitemap.xml, llms.txt, and priority public paths.
LLMs.txt Generator
Create a clean llms.txt file that tells AI systems which pages, facts, and use cases matter most.
LLMs.txt Checker
Check whether a site has a valid llms.txt file, links key pages, and stays discoverable to AI crawlers through robots.txt.
AI Robots.txt Checker
See whether important AI and search crawlers are allowed to fetch your homepage, sitemap, blog, docs, pricing, and about pages.
LLM Visibility Tracker
Manually record whether your brand appears in AI answers across ChatGPT, Claude, Gemini, Perplexity, and AI search surfaces.
Free Perplexity Visibility Tracker: Mentions & Citations
Track Perplexity brand mentions, cited URLs, competitors, source type, and zero-coverage prompts in a repeatable weekly log.
AI Overview Tracker: Track Google AI Citations
Use a free AI Overview tracker and checker to log Google AI Overview triggers, cited sources, competitor mentions, owned-domain visibility, history, and next page fixes.
ChatGPT Brand Visibility Checker
Generate and track ChatGPT prompts for category, alternative, use-case, and competitor searches.
Evidence-backed GEO
Recommendations tied to crawlable proof
The checker separates observable signals from guesswork. Each fix should map to a file, page element, structured data field, prompt result, or visible freshness signal.
Last updated: August 8, 2026
Crawler policy
robots.txt and sitemap.xml must expose public pages to search and useful AI crawlers.
AI guidance file
llms.txt should summarize key pages, brand facts, use cases, and citation guidance.
Entity extraction
Organization, WebSite, SoftwareApplication, FAQPage, and Breadcrumb schema reduce ambiguity.
Citation readiness
Definitions, tables, dates, sources, and comparison blocks make pages easier to quote.
| Workflow | What it proves | When to use it |
|---|---|---|
| SEO audit | Finds crawl, indexability, metadata, and technical search issues. | Use before GEO to make sure the site can be discovered. |
| Prompt monitoring | Tracks whether AI systems mention the brand for category and competitor prompts. | Use after technical fixes to measure movement. |
| GEO audit | Connects crawler access, entity clarity, extractability, citations, and freshness. | Use to decide which page changes should happen first. |
Brand prompt set
Generate AI search prompts
Prompts
Platform coverage
Designed around the AI surfaces brands now watch
ChatGPT
Benefits from accessible pages, clear entity facts, fresh public sources, and pages that answer category prompts directly.
Perplexity
Often rewards pages with concise summaries, tables, dated evidence, and citation-friendly URLs.
Claude
Needs crawlable pages and clearly structured explanations that avoid burying the core answer.
Gemini
Relies on search visibility, schema, entity consistency, and Google-readable freshness signals.
Google AI Overview
Usually appears where pages already satisfy search intent and include trustworthy answer blocks.
Last updated: August 8, 2026
FAQ
AI visibility questions answered directly
These short answers are written for humans first, then structured so answer engines can extract the same facts without guessing.
What is an AI visibility checker?
An AI visibility checker audits whether answer engines and AI search systems can crawl, understand, cite, and recommend a website.
What does Citivra check?
It checks crawler access, robots.txt, sitemap.xml, llms.txt, schema, extractable answer blocks, citation readiness, and freshness signals.
Why does llms.txt matter?
An llms.txt file gives AI crawlers a concise map of canonical pages, brand facts, use cases, and citation guidance.
Sources and methodology
What the methodology can and cannot prove
The rules-based audit uses observable page and crawl signals, then maps each recommendation to an implementation artifact. Prompt results still need repeat checks in live AI products because answer systems change over time.
What it checks
Public HTTP responses, crawler rules, sitemap and llms.txt discovery, schema types, homepage facts, answer blocks, source-backed citation cues, freshness signals, and prompt coverage ideas.
What it does not check
It does not log into private dashboards, guarantee ChatGPT or Gemini rankings, submit live prompts to every AI platform, bypass robots rules, or certify legal/medical/financial accuracy.
How to read results
Treat the score as a triage map. Fix crawlability and canonical files first, then add extractable answers and proof, then run the same prompts weekly to see whether mentions and citations move.