CueScout
See which conversations AI answers actually read about your category, and get into them.·cuescout.com
CueScout is an AI visibility (generative engine optimization) tool that finds the questions buyers ask, drafts pages built for AI answer engines, and measures citations, search demand, traffic, and key events after publishing. It tracks which sources AI engines like Perplexity, ChatGPT, and Gemini cite for a given category, mines Reddit, Hacker News, and Quora for recurring buyer questions, and turns them into a dated 30-day writing plan. Drafted pages are reviewed and published by the user on their own site, and CueScout re-checks citations afterward. It operates read-only and never posts to or connects with a user's Reddit account.
What it's for
Features 19
- AI page drafts in ranked-list, topic-guide, how-to, and comparison formats
- AI readiness checks: crawler access, llms.txt, schema, server rendering
- AI visibility tracking (mentions and citations across AI answer engines)
- Approval and export as HTML or Markdown for a user's own CMS
- Buyer-question scanning across Reddit, Hacker News, and Quora
- Citation-source tracing: exact URLs AI answers cite in a category
- Competitor mirror showing who assistants recommend instead of the brand
- Dated 30-day publishing plan built from recurring buyer questions and Search Console demand
- Domain leaderboard showing who owns the citations in a category
- Intent scoring with a plain-language reason for every match
- MCP server exposing free checks (check_ai_visibility, check_ai_readiness, check_ai_crawler_access, validate_structured_data, check_sitemap)
- Optional GA4 connection for post-publish outcome tracking (sessions, key events)
- Outgoing webhooks to Slack, Discord, Zapier, Make, or n8n on score changes
- Published-page measurement combining citations with Search Console impressions, clicks, and position
- Rank overlap: Google search position of every AI-cited page
- Read-only Reddit scanning with no connected account
- Sentiment and snippet recording for every AI answer check
- Separate scoring of mentions vs citations per engine per question
- Slack app for routing high-confidence opportunities to an approvals channel
At a glance
Integrations
Pricing
Category average price is around $337/month (Rankability survey, January 2026); published entry prices for comparable tools include Profound at $99, Peec AI at $96, Scrunch at $250, Otterly at $29, and iGEO at $175. Configurations above $999/month switch to a custom quote request. Pricing last reviewed August 30, 2026.
Price scales dynamically with number of brands, buyer questions per brand, selected answer engines, and check cadence via a plan builder.
Starting configuration: 1 brand, 50 buyer questions, 3 answer engines (Perplexity, ChatGPT, Gemini), checked every 3 days, 1,500 checks/month; configurations above $999/month require a custom quote.
Annual billing is 20% less than monthly billing for the same coverage ($470/year vs $588/year if paid monthly).