Understand Your Results

Per-model breakdown

Different AI engines train on different data. Scout's model tabs let you slice your visibility per engine — so you can see whether ChatGPT, Gemini or Perplexity is the channel that needs the most work.

Switching between models

The dashboard's top row has four tabs:

Clicking a model tab updates the gauge row in place — the Visibility Score, Brand Presence donut, and Sentiment donut all switch to that engine's data. The four KPI cards underneath stay on the overall numbers so you don't lose your big-picture stats.

The three engine-specific dashboards

ChatGPT-specific performance dashboard
ChatGPT — your visibility, mention rate, and top-performing prompts on gpt-4o.
Gemini-specific performance dashboard
Gemini — same view, isolated to gemini-2.5-flash.
Perplexity-specific performance dashboard
Perplexity — your real-time web-search visibility on sonar.

Why each engine matters

EngineStrengthTends to favour…
ChatGPT Largest user base. The "default" AI for most consumers and B2B buyers. Brands with strong landing pages, well-known names, and lots of long-form content.
Gemini Tightly integrated with Google Search and YouTube. Reflects "Google's web view". Brands with strong organic SEO, healthy backlink profiles, and active YouTube presence.
Perplexity Real-time web search. Cites sources directly in the answer. Brands frequently mentioned in fresh news articles, Reddit threads, and recent reviews.

Reading the gaps

"Strong on Perplexity, weak on Gemini"

You're getting talked about in real time (Reddit, news) but Google's index hasn't caught up yet. Fix: invest in long-form SEO content and high-authority backlinks so Gemini sees you too.

"Strong on ChatGPT, weak on Perplexity"

The reverse problem. ChatGPT learned about you from older training data, but you've gone quiet recently. Fix: revive PR — get into news cycles, post on Reddit, get cited in comparison roundups.

"Weak on all three"

The hard one. You're invisible. Start with the absolute basics: a comparison page targeting your top 3 prompts, third-party listings on industry directories, and a guest post on a high-authority blog in your space.

Per-model trends over time

Scout stores per-engine scores on every scan, so the trend lines on the Reports page show you whether each model is moving up, flat, or down. A divergence — say, ChatGPT trending up while Gemini trends down — is the most actionable signal you can get from Scout.

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Last updated July 2026 · Suggest an edit