Is AI talking aboutyour brand?
See your brand's mention rate across ChatGPT, Claude, Gemini, and Perplexity in under 3 minutes. Plus the exact fixes to move it.
We auto-detect your category, discover competitors, and score your SEO, GEO, and LLM visibility.
How it works
From crawl to command center in minutes
GEO Visibility maps how answer engines see your brand, what they cite, and where your next visibility gains will come from.
Enter your URL
We map your domain, detect brand context, and pull the baseline signals that answer engines rely on.
Parallel analysis
SEO, GEO, and LLM visibility checks run together so you can see technical gaps and answer-engine behavior in one view.
Quantified scores
Get SEO, GEO, and LLM visibility metrics with competitor comparisons, citation coverage, and trend context.
Actionable fixes
Translate the gaps into recommendations your team can execute to improve answer-engine visibility and authority.
See it in 60 seconds
From URL to scored visibility report — the full free-audit flow, real engines, real recommendations.
What's inside
Six analyzers, one workflow
Visibility, citations, schema, social, and regions — every signal that answer engines weigh, surfaced in the same dashboard with research-backed scoring and concrete recommendations.
Multi-region tracking
Auto-detect target markets from TLD, schema, and contact signals. Run visibility checks per region with localized prompts and geo-aware SERP queries.
Cross-page schema coverage
Aggregate JSON-LD audit across every crawled page — surfaces gaps single-page audits hide (e.g. Article schema present on 0 of 19 blog posts).
Citation intelligence
Track which domains and pages AI engines cite for your category. See where competitors win and the exact gaps to close on review sites, forums, and high-authority blogs.
Social listening
Discover Reddit, Quora, IndieHackers, HackerNews, Stack Overflow, Twitter, Facebook, and Trustpilot threads about your brand and category. LLM-scored relevance keeps the noise out.
Per-engine playbooks
ChatGPT favors Wikipedia, Perplexity prefers Reddit, Claude wants long-form authority — get model-specific recommendations for the engines you under-perform on.
Region-aware recommendations
Citation gaps, failure-pattern fixes, and competitor counters are generated with your target markets in mind — not generic global advice.
Audit #2 onwards knows your brand
Most audit tools restart from zero every run — generic recommendations, generic competitors, generic prompts. We don't. The platform remembers what you sell, who you compete with, and what you've already shipped, then tunes every analyzer around it.
One brand, many markets, one dashboard
A SaaS platform that wins ChatGPT in San Francisco can be invisible in Mumbai. Our region engine auto-detects your target markets, runs visibility checks per geography, and scores how well-localized your site actually is.
TLD, LocalBusiness schema, hreflang, footer addresses, phone prefixes — combined into a confidence-ranked region list at brand creation.
Visibility checks add 'from the perspective of someone in Mumbai' to every prompt. Same brand, different answers.
Grades 7 components (hreflang / LocalBusiness / regional pages / currency / phone / content / co-occurrence) with concrete fixes per gap.
Per-region snapshots stack side by side so you see exactly where you win, lose, or have first-mover space.
Built for
Operators who care about how AI describes them
The platform adapts to your category and target markets — no generic SaaS bias. Specific schemas, regional cited domains, and category- appropriate prompts come built-in.
B2B SaaS
Track ChatGPT mentions vs HubSpot/Salesforce, monitor G2 + Capterra citations, optimize for category-defining queries.
EdTech & training
Course schema, regional curriculum content, Coursera/Udemy comparison threads, region-specific 'best course' queries.
Professional services
ProfessionalService schema, regional case studies, industry citation gaps, advisory-firm visibility in local markets.
Fintech
FinancialProduct schema, compliance-aware content, regulator-region content angles (RBI / SEC / FCA).
E-commerce
Product + AggregateRating schema, multi-currency localization, review-site citation tracking, regional product visibility.
Industrial / niche B2B
Specific category labels (not generic SaaS), region-specific buyer prompts, narrow-vertical citation sources.
Latest research
Engine-by-engine field notes, primary-sourced
Original research and tactical playbooks on getting cited by ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Sourced from our audit pipeline and primary studies — not vendor blog handwaving.
What every AI engine actually cites in 2026 — engine-by-engine field guide
Eight studies, 680M+ citations, one tactical table. What ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews each pull from when they answer — and where to invest if you want to be the source they pick.
What is GEO? A plain-English guide to Generative Engine Optimization
GEO is the discipline of making your brand discoverable, citable, and accurately represented inside answer engines — ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Here's what it is, why it matters, and what changes vs. classic SEO.
llms.txt: the honest guide — what it is, who reads it, and whether you should ship one
844,000 sites have adopted llms.txt in 18 months. Zero major AI companies have officially confirmed they consume it. Here's what's true, what's marketing, and exactly what to put in yours if you ship it anyway.
Before you run the audit
How is this different from traditional SEO tools?
Traditional SEO tools score you against Google's ranking algorithm — keyword density, backlinks, Core Web Vitals. We score you against generative answer engines (ChatGPT, Claude, Gemini, Perplexity) which use different signals, cite different sources, and rank by different criteria. We track both, in one place.
What about my data — do you store my site content?
We crawl public pages to analyze them, store derived signals (counts, schema, headings, scores) for the report, and don't retain raw page bodies after the audit completes. Free audits work without any sign-up, so we don't even know who you are unless you create an account.
Will this work for non-English brands or non-US markets?
Yes — multi-region is a first-class feature, not an afterthought. Region detection runs at audit time from TLD, schema, hreflang, and contact signals; prompts are localized per market; the LLM extraction handles 30+ languages. The platform was built in India and the US specifically to avoid US-default bias.
How accurate is the brand mention count?
Each LLM is queried with category-specific prompts; responses go through LLM-based extraction (with regex fallback) to identify brand mentions, sentiment, and competitor names. We show you the raw responses alongside the scores so you can verify exactly what each engine said.
See exactly how AI describes your brand
One URL. Region detection, schema audit, citations, social signals, and answer-engine visibility scored in a single pass. Most reports return in under three minutes.