AI visibility
Track AI visibility from the source side
Most AI-visibility tools report how often you appear in answers and stop there. CueScout also records which threads and pages the answers cite in your category, because that list is the thing you can act on. In our own July 2026 audit, 10 of the 22 URLs Perplexity cited for our category were Reddit threads. The larger version of that count, across 533 URLs, is in our AI search citation statistics.
Outcome
A visibility baseline you can defend, the cited sources behind it, and a dated plan for changing the number.
Why teams need it
- AI engines can recommend competitors for your category before you know the answer exists.
- Share-of-voice dashboards report a percentage without telling you which pages would move it.
- The sources AI answers cite are mostly third-party threads, invisible to on-page SEO audits.
How CueScout handles it
- 1
Baseline the answers
CueScout asks the engines the questions buyers ask in your category and records every mention and citation, including a zero.
- 2
Trace the citations
It collects and clusters the URLs behind those answers, so you can see which communities and pages carry the recommendation today, and the domain leaderboard ranks who owns most of them.
- 3
Mine the questions
Scans of Reddit, Hacker News, and Quora surface the repeating buyer questions inside and around those cited conversations.
- 4
Publish and re-check
The recurring questions become a dated writing plan on your own domain, and scheduled re-checks show whether the engines start naming you.
What makes the workflow measurable
- Separates output mentions (your name in the answer text) from grounding citations (your URL in the sources drawer).
- The domain leaderboard tracks citation market share across competing vendors in your specific niche.
- Flags cited forum threads and blog reviews that rank nowhere in top Google organic search results.
- Re-runs generative answer queries after you publish to record when new pages start winning citations.
Free tool
Run one free check, no signup: see whether Perplexity names your product for a buyer question in your category, and who it cites instead.
Free AI Visibility CheckerFrequently asked questions
Why do answer engines cite forum threads instead of company homepages?
LLMs prioritize perceived consensus, hands-on user reviews, and authentic comparisons over vendor marketing copy. CueScout maps these cited community threads so you can address the exact questions being answered.
How does CueScout verify citation status?
We run live grounded queries across Perplexity, ChatGPT, and Google AI Overviews, parsing both the body response text and the explicit reference citations attached to the answer.
What is the unranked citation overlap metric?
It measures the percentage of URLs cited by generative engines that do not rank on page 1 of Google. In our research benchmarks, over 60% of cited community sources fall into this category.
Related use cases
Content Planning
Turn repeated Reddit, Hacker News, and Quora questions into landing pages, blog posts, comparison pages, and sales enablement topics.
Read moreBrand Monitoring
Monitor brand, product, and category mentions across Reddit, Hacker News, and Quora, then connect the right conversations to what AI engines say about you.
Read moreCompetitor Analysis
Find competitor comparison threads, switcher intent, unmet needs, and positioning signals across Reddit, Hacker News, and Quora.
Read moreRun this workflow on your product
Set up your product, scan Reddit, Hacker News, and Quora, then review the conversations CueScout thinks are worth your time.