Make AI recommend your business.
See how often AI recommends your brand across ChatGPT, Gemini, and Perplexity — and get a fix plan in minutes.
Add to Chrome — 1-click analysis on any siteCheck your brand's AI visibility
How it works
From “Invisible” to “Recommended” in 3 steps.
The AI Scan
We fire queries about your brand — across brand, problem, category, and comparison intents — through ChatGPT, Gemini, and Perplexity.
Your AI Visibility Rate
See what % of queries featured your brand — and which competitors appeared in the answers where you didn't.
The Fix Plan
A Markup Score and ranked recommendations showing exactly which changes to your site will make AI recognise you as an authority.
Everything you need to win AI search
AI Visibility Rate
Your citation rate across 4 intent types × 3 engines — see how often AI recommends your brand today.
Competitor IntelligencePremium
See which competitors appear in AI answers where your brand is absent — and which queries you're losing.
Citation SourcesPremium
Which of your pages AI engines cite, which third-party sources appear alongside you, and which appear without you.
Markup Score
A 0–100 structural score across 6 weighted parameters — the diagnostic that explains your visibility rate.
Actionable Recommendations
Prioritised fixes ranked by impact so you know exactly what to improve first.
Crawl Check
Verify that AI crawlers (OAI-SearchBot, PerplexityBot) can actually access and read your site.
Score HistoryPremium
Track your AI Visibility Rate and Markup Score over time — see the impact of every change you make.
The AI search era is already here
Your competitors are already showing up in AI results. Are you?
ChatGPT, Gemini, and Perplexity are now the first stop for millions of buying decisions. Businesses that optimise for AI visibility today will dominate their category tomorrow — those that don't will become invisible.
60%+
of online searches now involve an AI assistant at some point in the journey
#1 position
in AI results drives more trust than any traditional search ranking
Most sites
fail basic AI readiness checks — a huge opportunity for those who act now
Know where you stand. Fix what matters. Get ahead — and stay there.
See it in action
What your report reveals
In seconds, you get a full picture of how AI models see your website — and exactly what to fix.
Your AI Visibility Rate, at a glance
See what % of AI queries feature your brand — and your verdict across all three engines.
Prioritized fixes, not a wall of text
Every recommendation ranked by impact so you know exactly what to tackle first.
How each AI sees your brand
See your citation rate across ChatGPT, Gemini, and Perplexity — across brand, problem, category, and comparison queries.
Watch your score improve scan by scan
Rescan your site after making changes and see your Markup Score trend up over time.
Methodology
Traditional SEO vs. Answer Engine Optimization (AEO)
AI assistants don't rank pages — they cite sources. AEO is the discipline of becoming that source.
| Feature | Traditional SEO | LLM-Ready (AEO) |
|---|---|---|
| Primary Goal | Ranking for Keywords | Citation in Generative Answers |
| Indexing | Crawler-based (Googlebot) | Training Data + RAG Retrieval |
| Content Focus | Search Volume / Traffic | Semantic Density / Information Gain |
| Primary Metric | Position 1–10 | AI Visibility Rate (citation %) |
| User Intent | Discovery via Browsing | Direct Recommendation via Logic |
Knowledge Base
AEO Technical Glossary
Precise definitions for AI search optimization concepts.
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO) is the technical process of structuring website content to be accurately retrieved, synthesized, and cited by Large Language Models (LLMs) like ChatGPT, Gemini, and Perplexity. Unlike traditional SEO, which focuses on click-through rates from blue links, AEO focuses on Citation Velocity and Entity Authority within generative responses.
What is the AI Visibility Rate?
The AI Visibility Rate is the core measurement LLM Check produces: the percentage of AI queries in which your brand was mentioned or cited. We fire queries across 4 intent types — brand, problem, category, and comparison — through ChatGPT, Gemini, and Perplexity. Your rate is the share of queries where your brand appeared. It maps to a verdict: Strong (≥80%), At Risk (60–79%), Low Visibility (40–59%), or Rarely Visible (<40%).
What is the Structural Markup Score?
The Markup Score (0–100) is the diagnostic layer: a weighted evaluation of your site's structural readiness for AI citation. It assesses how directly your content answers questions, how clearly your brand and expertise are stated, the depth of your schema markup, the citability of your content, your E-E-A-T signals, and how well you cover comparison and category intent. The score explains why your visibility rate is where it is — and tells you exactly what to fix.
What are common AI visibility blockers?
- Semantic Drift — When a brand's marketing language uses non-standard jargon that differs from the LLM's training data for that category, causing misalignment between how the brand describes itself and how AI models understand it.
- Citation Walls — Technical barriers such as aggressive WAF settings or JavaScript-only rendering that prevent AI retrieval crawlers (OAI-SearchBot, PerplexityBot) from verifying site claims.
- Information Thinness — Content that lacks unique data points, proprietary statistics, or expert attributions, causing LLMs to prefer more data-dense competitors as primary sources.
Methodology
The LLM-Ready Protocol
The technical checklist LLM Check uses to establish whether a site is citable by AI assistants.
Atomic Answers
A 40–60 word direct answer placed immediately after every H2 question header, giving AI retrieval systems a clean, extractable response without ambiguity.
Entity Mapping
Explicitly linking your brand to known industry entities (e.g. SaaS, SEO, AI) so LLMs can place you in the correct knowledge category during retrieval.
Freshness Signal
Maintaining a dateModified property in JSON-LD schema to signal temporal relevance to AI crawlers that prioritize recently updated primary sources.
Markdown Parity
Ensuring site content is fully readable when CSS and JavaScript are stripped — the format in which text-only AI agents and RAG pipelines ingest web content.