AI Position Distribution: #1, Top-3, Top-10 or Buried
Where AI cites you on every prompt across every model. Lumos tracks rank position daily.
By Lumos Team ยท May 15, 2026
Want a real scan for your brand?
The example above is a static demo. Sign up to scan your brand: full results in 60 seconds, no credit card.
Get your scan: sign upWhy a head-to-head matrix beats a single score
A single GEO score collapses the truth. You can be a market leader on one engine and invisible on another, but a roll-up number hides that asymmetry. The most useful surface inside Lumos is the head-to-head matrix: prompt by prompt, competitor by competitor, where do you win and where do you lose?
The preview above shows the real matrix from inside Lumos, run on our own brand versus our actual competitors โ Profound, Peec AI, Otterly, and Brandwatch. Each cell is a win (green), a loss (orange), or a tie (gray), across ten buyer-intent prompts. The pattern is what matters: clusters of green tell you where you have moat, clusters of orange tell you where a competitor owns the conversation.
What you can do with it
When the matrix is yours, you can act on each cell.
- A loss cell is a content gap. Open the prompt, read the AI engine answer, see who is being cited and why, then ship the page that closes the gap.
- A tie cell is fragile. AI engine responses shift weekly โ a tie today is a loss tomorrow without continuous reinforcement.
- A win cluster is defensible territory. Build content moat around it (link clusters, FAQ schema, internal links) so a competitor cannot pry it loose.
The full Lumos matrix runs against your real competitor list โ you pick the brands, you pick the prompts. The first run takes minutes.
Common matrix-reading mistakes
Reading the average across competitors. A 60% win rate sounds healthy until you see all the losses are clustered on enterprise prompts, where the deal sizes are largest.
Ignoring per-engine variants. A loss in ChatGPT may flip to a win in Claude. Lumos lets you filter the matrix per engine to see where engine-specific work matters.
Treating it as a static report. The matrix is a workflow surface. Each loss cell links to the AI engine response, the source pages, and the recommended fix. Use the matrix to drive content sprints, not to staff a slide.
Watching only the leaders. The smaller competitors in your set are often the ones moving fastest. A 2-cell shift from Peec AI in a quarter is more signal than a static 0-cell from Brandwatch.
Next steps
- Build your own head-to-head matrix in Lumos: sign up, pick competitors, get the matrix in minutes.
- Pair it with AI Visibility Quick Check for per-engine depth.
- See how AI engines describe you with Brand Sentiment Snapshot.
- Read the strategy: What is GEO? and GEO vs SEO.
34%
of GEO leaders score 70+ across all major AI engines
Lumos GEO benchmark 2026
+18 pts
average GEO score lift after 90 days on Lumos
Lumos customer cohort 2026
How it works
- 1
Look at the demo
Above: Lumos vs Profound, Peec AI, Otterly and Brandwatch on ten buyer-intent prompts across the four major AI engines.
- 2
Sign up to score your brand
Enter your domain and a few prompts your buyers ask. The full score runs in minutes.
- 3
Track over time
Lumos schedules weekly re-runs so you see the trend, not just today.
FAQ
What is a GEO score?
A composite 0-100 score that measures how often AI engines (ChatGPT, Gemini, Claude, Perplexity) cite your brand for queries relevant to your business, weighted by rank and engine prominence. It rolls up dozens of individual prompt-and-engine signals into a single number you can track week over week.
How is the score calculated?
We run your brand against a panel of buyer-intent prompts in each of the four major engines. For each (prompt, engine) we check: is your brand cited? In what rank? In what tone? The score is the share-of-voice you receive across engines, normalized to 0-100.
What's a good GEO score?
Above 70 is GEO-leader territory โ the top quartile in B2B SaaS. 40-70 is typical for established brands with some AI presence. Below 40 means most AI engines are recommending competitors over you for the queries that matter.
Is this the same as the demo on this page?
No โ the demo uses Lumos's own head-to-head matrix against our real competitors (Profound, Peec AI, Otterly, Brandwatch). The full calculator (free on signup) runs your own brand against the engines in real time and gives you a per-engine breakdown plus a recommendations list.
How often does the score change?
AI engine responses shift weekly as models update and the web changes. Lumos re-runs the score on a schedule (weekly by default) so you can see trends, not just snapshots.
Related tools
AI Visibility Score for Your Brand: Daily, All Engines
Daily visibility score across ChatGPT, Gemini, Claude, and Perplexity. The single number Lumos updates every day.
AI Brand Sentiment Tracker: Across All Engines
Daily positive/neutral/negative sentiment with topic-level themes. Surfaces complaints buried in long AI answers.
Where AI Ranks You vs Competitors (Per Engine)
Position by engine when AI answers about your category. Live demo with Lumos's own data.
Related reading
What Does ChatGPT Say About Your Business? How to Audit Your AI Visibility
Most businesses have no idea what ChatGPT, Gemini, or Perplexity say about them. Audit your AI visibility and catch problems before they cost you customers.
GEO vs SEO: What's the Difference and Do You Need Both?
GEO (Generative Engine Optimization) and SEO are related but distinct disciplines. Here is how they differ and why you need both in 2026.
How to Appear in ChatGPT Answers: 7 Proven Strategies
Want ChatGPT to recommend your brand? Here are 7 actionable strategies to improve your visibility in ChatGPT, Gemini, and other AI search engines.