Multi-LLM Brand Visibility Comparison
One dashboard, four engines. See ChatGPT, Gemini, Claude, and Perplexity side by side, refreshed daily by Lumos.
By Lumos Team ยท May 18, 2026
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Get your scan: sign upWhy a multi-engine view changes the decision
A single-engine score answers one question โ "Are we visible in ChatGPT?" โ and hides four others. Lumos's multi-LLM dashboard is built around the way buyers actually behave: they cross-reference. They ask ChatGPT, get a shortlist, and then ask Gemini or Perplexity for a second opinion. If your brand wins ChatGPT but loses Gemini, you have not won โ you have surfaced an inconsistency that smart buyers detect immediately.
The multi-engine view is also the only honest way to compare. Each engine grounds on different sources, weights schema differently, and treats freshness differently. Averaging across four engines hides which one is dragging you down. Lining them up side by side makes it obvious where to invest the next sprint of content work.
What you see inside Lumos after signup
The preview at the top of this page is the real Lumos Visibility dashboard, scored on our own brand across all four engines. After signup the same surface runs on your domain:
- Composite score for the brand, weighted by engine prominence in your buyer's actual usage.
- Mentions by engine โ the raw count behind the score, so you can see exactly which engine is the strongest and weakest.
- Seven-day trend for the composite, with engine-level deltas one click away.
- Top prompts filtered by engine, so you can see which buyer query is driving the win or loss inside each model.
Clicking any engine cell pivots the whole view to that engine. You can also branch out into the per-engine trackers from the same dashboard. The model is: one entry point, four lenses, no spreadsheets.
How Lumos generates this data
Each tracked prompt runs against ChatGPT (OpenAI Chat Completions API with web search), Google Gemini (Gemini API with grounding), Anthropic Claude (with web search), and Perplexity AI on the same UTC day. We normalize brand mentions against your competitor list, score rank by position in the answer, and store every response verbatim. The composite is a weighted blend with the weights configurable in your workspace settings.
The default scan cadence is daily. Paid plans support hourly cadence, custom engines (Bing Copilot, Kagi Quick Answer), and webhooks that fire when a score crosses a threshold you define.
Common questions
Why is my composite lower than each engine? Because the composite weights rank, not just presence. If you appear in every engine but rarely at #1, your composite reflects the rank discount.
Can I add my own engine? Yes โ paid plans expose a generic engine connector. Bring your own API endpoint and Lumos handles parsing.
Do I need to manage prompts for each engine separately? No. The same prompt list is run across all four engines. Per-engine differences come out in the answer, not in the question.
Next steps
- Run the multi-LLM view on your brand: sign up โ five-minute first scan.
- Drill into a single engine: Brand Mention Tracker in ChatGPT.
- See your win rate vs competitors: Head-to-Head Win Rate Matrix.
- Read the playbook: Best GEO tools 2026.
57%
of buyers use 2+ AI engines before deciding
Lumos buyer survey 2026
74%
of GEO tools track only one or two engines
Lumos vendor landscape 2026
How it works
- 1
Read the multi-engine demo
Above is the same dashboard run on Lumos's own brand across all four engines.
- 2
Sign up and connect your prompts
Enter your domain and three buyer-intent prompts. The first scan finishes in minutes.
- 3
Watch the daily delta
Lumos surfaces engines that lost ground, new competitors that emerged, and the prompts driving the change.
FAQ
Why compare engines side by side?
Because each AI engine answers the same buyer question differently. A brand that wins in ChatGPT may be invisible in Gemini. A multi-LLM view exposes the imbalance and tells you which engine deserves the next content investment.
Does Lumos really hit all four engines?
Yes โ ChatGPT (OpenAI API), Google Gemini, Anthropic Claude, and Perplexity AI. Each prompt is run against all four on the same day, so the numbers are comparable.
How often does the dashboard refresh?
Daily by default. Paid plans can configure a faster cadence and add custom engines like Bing Copilot.
Can I see why ChatGPT cited me but Gemini did not?
Yes โ each cell drills into the raw response, the cited sources, and the brands that beat you. Sources are where the next move usually lives.
Is this view the same as the free /audit?
The free /audit gives you a one-shot multi-engine snapshot. The dashboard above is the continuous version: same data, refreshed daily, with trend lines and alerting.
Related tools
Brand Mention Tracker in ChatGPT
Daily mention tracking for your brand inside ChatGPT. The Lumos ChatGPT slice โ score, trend, top prompts.
Head-to-Head Win Rate Matrix vs Competitors
Win, tie, or lose every category prompt against each competitor. The Lumos head-to-head matrix, rendered on real prompts.
Auto-Built Competitor Profiles for AI Search
Lumos auto-builds each competitor's AI profile: visibility score, cited sources, themes, and the fact gaps you can exploit.
Related reading
Tools to Monitor Your Brand in ChatGPT and Gemini
How to monitor your brand in ChatGPT and Gemini with GEO, local dashboards, market-aware prompts, and citation source auditing.
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.
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.