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Introducing Multi-Engine Visibility Scoring

We rebuilt our scoring engine from scratch to give you a single, unified visibility score that reflects your brand's presence across ChatGPT, Claude, Gemini, Perplexity, and more — all in real time.

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Calvin Chen· Founder
·June 4, 2026·4 min read

The Problem with Per-Engine Scores

When we launched LLM Metrix, we gave users a separate score for each AI engine: your ChatGPT score, your Claude score, your Perplexity score. It felt like the right call — each engine is a different product with different audiences, and showing them separately seemed transparent.

In practice, it created more confusion than clarity. Users told us the same thing over and over: “I have seven numbers. I don’t know if I’m doing well.” A score of 71 on ChatGPT and 43 on Gemini doesn’t tell you whether your brand is visible. It just tells you you have work to do on Gemini, which you probably already suspected.

The deeper problem was that per-engine scores made it impossible to track progress at a glance. If ChatGPT improved by 8 points but Gemini dropped by 4, what actually happened to your brand? You’d have to do the math yourself — and weight the engines differently depending on your audience. Nobody was doing that.

What We Built Instead

Starting today, every LLM Metrix account shows a single Unified Visibility Score — one number from 0 to 100 that represents your brand’s overall presence across all monitored AI engines.

The score is a weighted average that reflects real-world usage. We’ve set the default weights based on current market share and query volume data:

  • ChatGPT — 35%
  • Gemini — 25%
  • Perplexity — 20%
  • Claude — 12%
  • Copilot — 5%
  • Other engines — 3%

These weights update quarterly as the AI landscape shifts. You’ll always see the current weights in your Settings panel, and Pro and Team plan users can customize weights to reflect their specific audience mix.

How the Score Is Calculated

The Unified Score isn’t just a raw average of engine-level scores. Within each engine, we measure three components:

Presence (40%) — Does your brand appear at all in responses to relevant queries in your category? This is the baseline. A brand that isn’t mentioned doesn’t score above zero on this component.

Position (35%) — When your brand is mentioned, where does it appear? First mention in a response carries the highest weight. A prominent recommendation scores higher than a passing reference in a list. We analyze position across thousands of queries in your tracked category each week.

Sentiment (25%) — How is your brand described? Positive framing (“the industry leader,” “recommended for teams”) lifts your score. Neutral descriptions hold steady. Negative associations pull it down. We use an AI classifier tuned specifically for brand sentiment in AI engine responses.

Each engine produces a score from 0–100 based on these three components, and those scores are then combined using the engine weights above.

What Changed in the Dashboard

The old dashboard had a horizontal bar chart showing all seven engines separately. That’s still there — it’s now called the Engine Breakdown panel and lives below the main score card. You can still see exactly how each engine is performing and drill into per-engine trends.

The new main score card shows your Unified Score prominently, your 30-day trend line, and the top-moving engine (the one that changed most in the past week). This gives you the at-a-glance read most users wanted, while keeping the detailed per-engine data one click away.

We also added a Score Health indicator — a simple Good / At Risk / Needs Attention label that takes into account both your current score and the direction of movement. A score of 65 that’s been climbing for three weeks is in better health than a score of 72 that’s been dropping.

What This Means for Your Strategy

The Unified Score changes what you should optimize for. Instead of focusing on one engine at a time, you can now see the aggregate impact of your content and positioning work. A blog post that earns citations across multiple engines will move your Unified Score more than one that only resonates on Perplexity.

We recommend setting a Unified Score target for your brand — something achievable but ambitious — and tracking it weekly. The brands we work with who do this consistently outperform those who optimize reactively.

The Unified Score is live for all accounts today. Your historical data has been recalculated, so you can see how your score has trended since you joined. If you have questions about the methodology or want to discuss custom engine weights, reach out — we read every message.

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Written by

Calvin Chen

Founder at LLM Metrix

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