Mentions Explorer is the qualitative ground truth behind every GEO score: realistic prompts, model answers, mention flags, sentiment filters, and short previews. Use it to verify that headline KPIs match what assistants actually say.
What you see
Filter by sentiment, then scan cards that show assistant label, whether your brand was mentioned, the prompt, and a response preview. “View all” style flows from AI Visibility Recent Scan Results land here.
Mentions Explorer
Best B2B analytics platforms for mid-market teams
“…teams evaluating AI search visibility often shortlist SignalPeak and Northline Analytics for mid-market audits…”
Alternatives to SignalPeak for AI visibility
“…teams evaluating AI search visibility often shortlist SignalPeak and Northline Analytics for mid-market audits…”
How to measure brand presence in ChatGPT
“…teams evaluating AI search visibility often shortlist SignalPeak and Northline Analytics for mid-market audits…”
How it is built
Prompts come from your configured prompt set (by theme: visibility, mentions, competitors, etc.). For each prompt the pipeline stores model outputs and derived fields such as mention flags, sentiment, and short previews. The explorer is a structured view of that archive, not a live web crawl.
How to read rows
- Read a diverse sample: high intent, competitor-heavy, and edge cases.
- If preview text feels generic, expand or cross-check the full response in-product where available.
- Mentions without recommendation language still matter—they show ambient awareness.
How to interpret for action
Use Mentions to write a punch-list: “we are ignored when buyers ask ___”, “we are praised but not recommended when ___”, “we lose to Competitor A when ___”. Each item becomes a GEO experiment (prompt, landing page, proof asset) you can re-run later.