Your AI Visibility Score
A clear 0–100 score that tells you exactly how ChatGPT, Claude, and Perplexity perceive your brand — and what to fix to become the brand AI recommends first.
As part of the LLMRanky AI visibility platform, the AI Visibility Score is the starting point for understanding how well your brand performs in AI-generated answers. It combines dual-mode analysis, brand auditing, competitor detection, and perception tracking into one actionable metric that gives you a complete picture of where you stand in the AI landscape — and exactly what to do about it.
One score. Four dimensions. Complete clarity.
Your 0–100 score isn't a vanity metric — it's a synthesis of four critical measurements that determine whether AI models recommend your brand or your competitors.
- Mention frequency — How often AI cites your brand across all questions and models
- Mention accuracy — Whether AI describes your products and positioning correctly
- Mention position — First cited, among alternatives, or absent entirely
- Sentiment analysis — Positive, neutral, or with caveats and reservations
The Difference Between Invisible and Recommended
Millions of professionals now ask ChatGPT instead of Google. If AI doesn't mention your brand, you're losing deals to competitors you can't even see.
You're flying blind
You have no idea what ChatGPT tells your potential customers. Your competitors get recommended by name. Your content isn't structured for AI comprehension. Your Schema.org is missing or incorrect. You don't know if AI models describe your products accurately — or at all.
Every unanswered question is a lost customer. Every inaccurate mention damages your reputation. And you can't fix what you can't measure.
You know exactly where you stand
You see a clear 0–100 score across ChatGPT, Claude, and Perplexity. You know which questions trigger recommendations for your competitors. You have a per-question diagnosis showing exactly what to fix. Your content roadmap is data-driven, not guesswork.
Each re-scan shows measurable improvement. You correlate content changes with visibility gains. You prove ROI to stakeholders with hard numbers.
Two modes reveal two truths about your brand
When users enable web search in ChatGPT or use Perplexity, AI retrieves fresh data from the internet. Your recent content, press mentions, and indexed pages influence the answer. But when AI relies solely on its training data, it reveals whether your brand has been "learned" — a deeper, harder-to-earn form of visibility.
The gap between these two modes is the most actionable insight in AI visibility. A brand that appears in search mode but vanishes in native mode has a content problem. A brand that appears in native mode but is outdated needs fresh signals. LLMRanky tests both simultaneously.
Per-question diagnosis: know exactly what to fix
Every strategic question gets an individual diagnosis — Excellent, Good, Risky, or Critical — based on how AI models respond when asked about your industry. A brand might score 85 on product-related questions but 15 on comparison queries. That granularity is worth more than any aggregate number because it tells you exactly where to focus your content creation efforts.
The diagnosis grid shows patterns at a glance: which topic categories are strong, which are weak, and which competitors dominate the questions you're losing. From there, LLMRanky generates editorial plans and optimized content to systematically improve each weak area.
How Your Score is Calculated
A rigorous, multi-step process that queries real AI models with real questions — not simulations.
1. Industry questions generated
Based on your site's content, products, and competitors, we generate 30–100 strategic questions — the exact queries your customers ask AI right now. Each is categorized by topic and ranked by business impact.
2. Three AI models queried
Every question is sent to ChatGPT, Claude, and Perplexity in dual mode (web search + native knowledge). Each model responds independently, giving you per-model visibility data.
3. Responses analyzed
For each response we measure: mention presence, position (first/among/absent), accuracy, sentiment, sources cited, and competitors mentioned. Each question gets an Excellent/Good/Risky/Critical diagnosis.
4. Score aggregated
All per-question metrics are weighted and combined into your 0–100 AI Visibility Score — with breakdowns by category, model, mode, and competitor comparison.
5. Action plan delivered
You receive prioritized recommendations: which content to create, which pages to optimize, which Schema.org to add, and which competitors to outperform. Not theory — specific actions.
6. Track improvement
Re-scan to see your score evolve. Compare snapshots over time. Correlate content changes with visibility gains and prove ROI with hard numbers.
Go Deeper Into Each Capability
The AI Visibility Score is powered by four specialized sub-systems, each designed to reveal a specific dimension of your AI presence.
Dual-Mode Analysis
Compare how AI responds with web search enabled versus native memory only. Identify the gap between your real-time web presence and your embedded reputation in AI training data. Understand where your content reaches AI and where it doesn't.
Compare AI search vs native knowledge analysis →AI Brand Audit
See exactly how AI models describe your brand name, products, value proposition, target audience, and competitive positioning. Discover the gap between what your website says and what AI actually tells your customers about you.
Audit how AI describes your brand →AI Competitor Detection
Discover which brands AI recommends instead of you, how often they're cited, in what context, and whether they're positioned as leaders, alternatives, or better options. Know your AI competition before they know you.
Detect which competitors AI recommends →AI Perception Tracking
Track changes in your AI visibility score over weeks and months. Compare before/after snapshots, correlate content changes with visibility shifts, and measure the real ROI of your GEO optimization efforts over time.
Track your AI brand perception over time →Who Needs an AI Visibility Score?
Marketing managers & CMOs
You're investing in content, SEO, and advertising — but are AI models actually recommending your brand? The AI Visibility Score gives you a clear, quantifiable metric to report to leadership. It tells you whether your marketing spend is translating into AI recommendations, and if not, exactly what to change.
Think of it as NPS for AI perception: a single number that captures whether the machines are on your side. Track it monthly. Show improvement. Justify budget.
SEO specialists & agencies
Traditional SEO metrics — rankings, backlinks, domain authority — don't tell you how AI models perceive your clients' brands. The AI Visibility Score is the new KPI for the GEO era. Use it to demonstrate value to clients with before/after comparisons, identify new optimization opportunities that traditional tools miss, and stay ahead of the shift from search engine results to AI-generated answers.
Offer AI visibility as a new service line. Every client needs it. Few agencies provide it yet. Be first.
Find Out Your AI Visibility Score
Every day your brand goes unscored is a day your competitors have the advantage. Get your AI Visibility Score in 2 minutes — free, no credit card required.
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