CueScout asks the questions your buyers actually type, then shows you whether you get named and which pages to publish so you do.
CueScout live scan
Free, no signup, and CueScout never posts anything anywhere.
The workspace
What the scan turns into.
The scan is one reading. This is the same thing tracked over weeks, with the pages behind every answer.
AI visibility · sample workspace
Analytics
AI Insights
Sources
Demand
Readiness
Published
Actions
Writing Plan
Setup
Scan setup
Settings
AI visibility
28d12w6m12m
58.3%
You appear in 7 of 12 answers buyers actually see. Mixpanel appears in 8.
2nd
of 6 brands
62
GEO score
45.0%
share of voice
45.0%
cited
Based on 12 answers across 4 questions on Perplexity and ChatGPT, pooled over 4 weeks.
Share of voice trend
12 weeks · smoothed
You Mixpanel
Competitor standing
Mixpanel66.7%
BrightMetric58.3%
Amplitude50.0%
Heap16.7%
PostHog8.3%
Sources AI reads
who owns the corpus
UGCreddit.com/r/analytics/comments…6
Reviewg2.com/categories/product-analytics5
UGCnews.ycombinator.com/item?id=…4
Compmixpanel.com/blog/product-analytics…3
Reviewcapterra.com/product-analytics2
What gets cited
22 URLs · 5 types
Ranked list31.0%
Review site24.0%
Reddit thread18.0%
Comparison14.0%
Vendor blog13.0%
The AI Insights Visibility surface: a headline reading of 58.3% visibility — named in 7 of 12 answers — with rank, GEO score, share of voice and cited share beside it, over a share of voice trend, a standings table against Mixpanel, Amplitude, Heap and PostHog, the domains the engines read, and the page types they cite. Sample workspace data.
One score, checked not guessed
Perplexity and ChatGPT get asked your buyer questions for real. No estimate model.
One sentence, not five tiles
GEO score, visibility, share of voice, average position, and cited share — one sentence with the number that leads, not five tiles you have to add up.
Ranked against competitors
Where you sit against the brands the engines name in the same answers, with the ones nobody mentioned collapsed out of the way.
The solid part of the line is work that ships. After that we can only measure it with you.
work ships
Day 0
Baseline
First scan: the threads where your buyers already ask, scored
Baseline check: which products assistants name today
citations window
Day 30
Everything shipped
8–12 pieces planned · first 3 live
Every repeating buyer question dated into a writing plan
First comparison and answer pages live on your site
No Reddit account touched, because none is needed
compounding
Day 90
First movement
first citations typically land here
Rank badges show which of your pages and threads rank on Google
First AI citations typically show up here, if they show up at all
Visits arriving from real buyer questions
Month 6
Compounding
cited on category questions
Assistants start naming you when buyers ask for your category, if the pages earn it
Every page keeps answering, nothing expires and nothing gets banned
The problem
Most AI-visibility tools stop at the scoreboard.
There are suddenly a lot of these dashboards. They track a set of prompts and report how often your brand shows up. The number moves or it doesn’t, and moving it is left to you.
A prompt tracker gives you
A share-of-voice percentage
Which competitors outrank you in answers
A chart that updates weekly
CueScout adds
The exact URLs those answers were built from
The buyer questions repeating inside them, counted
A dated 30-day plan of pages to publish
A re-check on every question after you publish
Step by step
From “are we in the answer?” to a dated plan you can actually work.
1
Check. The engines get asked the questions your buyers ask. Every mention and citation is recorded. If the baseline is zero, it says zero.
2
Trace. The URLs those answers cite get collected and clustered, so you can see which threads and pages carry your category.
3
Read. Reddit, Hacker News, and Quora get scanned for the buyer questions behind those sources, each scored with a one-sentence reason.
4
Plan. The questions that keep coming back become a dated 30-day plan: what to write, and which thread it came from.
5
Measure. Re-checks show whether the engines start naming you, and which of the pages you published they now cite.
Your keywords
Keywords from Sources, and how the leads they matched turned out.
73% good rate
monitor subreddit mentions
6 good · 1 not relevant · 2 unrated
86% good
social listening
1 good · 8 not relevant · 2 unrated
11% good
find early users
4 good · 1 not relevant · 1 unrated
80% good
Stop matching
social listening
Apply
8 of 11 leads from this keyword were marked not relevant, mostly agencies comparing enterprise suites. One click drops it from your keyword list.
Scan details
Queries, source counts, and scoring totals from the latest run.
Scanned 4m ago
38
Found
12
Scored
2
Saved
10
Rejected
9
Skipped
17
Deduped
Reddit
26 fetched
alternative to manual subreddit checkingtrack brand mentions redditfind early users dev tool
12 scored. 2 worth your time. 10 rejected.
When nothing is worth answering, the scan says so: “Scan completed but no results.” You see every query that ran and what each source returned, never a padded inbox.
Honest scans
Some weeks your buyers ask nothing new. We’ll say so.
Every scan shows its work: the exact queries it ran, how many posts each source returned, and how many were scored, saved, rejected, skipped, or deduplicated.
“Nothing strong this week” is a first-class outcome in CueScout, not a failure state we hide. A tool that pads your inbox to look busy is wasting the exact time it promised to save.
FAQ
Fair questions.
Does this get me recommended by ChatGPT?+
Nobody can promise that, and anyone who does is selling you an algorithm hack. What CueScout does is find the questions buyers actually ask, put them in a plan so you can publish real answers, and then check the engines to see whether your name comes back. You get the raw material and the measurement. The writing is still yours.
Is this against Reddit's rules?+
CueScout never touches your Reddit account, because it doesn't need one. It reads public conversations the way any reader does, explains why each one matched, and shows you which questions keep coming back. Nothing is posted, drafted for posting, or automated. The answer you write goes on your own site.
What if my buyers aren't asking anything?+
Then the scan says so. It shows exactly what ran (every query, every source count, every rejection) and reports no results instead of padding the inbox with weak matches. If that keeps happening, the Lead Quality report shows which keywords are underperforming so you can tune them.
Which sources do you support?+
Reddit, Hacker News, and Quora today. We'd rather do a few sources with honest scoring than ten sources with noise.
How is this different from Profound, Peec, or Otterly?+
Those are prompt trackers: you give them a set of questions, they tell you how often your brand appears in the answers. CueScout runs those checks too, but it spends most of its effort on the source side: the specific threads and pages the answers cite, and the buyer questions inside them. A share-of-voice number tells you where you stand; CueScout also hands you the list of pages to publish to change it. It is also priced for small teams: plans start at $49/mo against a category average around $337/mo.
How is this different from keyword-alert tools?+
Keyword alerts match strings and stop there. CueScout scores intent, tells you in plain language why something matched, counts how often the same question comes back, turns the repeats into a writing plan, and then checks whether AI engines cite the pages you published. When you mark results good or not relevant, future scans score sharper. Alert tools send you the same noise on week 50 that they sent on week 1.
Free check
Do AI engines already recommend you? Run one free check (no signup) and see whether Perplexity names your product when buyers ask for recommendations.
Pick a plan, run your first check, get your roadmap, cancel anytime. CueScout never posts anything on your behalf. Prices current as of July 30, 2026.
Perplexity and Google AI Overviews start shifting 30 to 60 days after you publish. Telling a real gain apart from week-to-week noise takes 60 to 90. A one-month plan makes you decide before the data shows up.
Basic
For testing whether buyer-question research and AI visibility work for your product.
$129/3 mo$147
$18 off, works out to $43/mo
1 product tracked
450 AI Visibility checks/month (15/day, Perplexity)
GEO score, with mentions and citations tracked separately
Citation sources: the URLs the engines cite in your category
Auto-scan every 24 hours across Reddit & Hacker News
Repeating buyer questions, clustered and counted
Dated 30-day writing plan, 3 regenerations/week
20 AI page drafts/month (5/week)
Google rank badges on matched threads
Site readiness checks (schema, freshness, machine-readable pricing)
Lead Quality report + keyword tuning
Per-page citation tracking after you publish
Shareable Opportunity Report — one link per product, no login needed
For reference, the average dedicated AI-visibility tool runs about $337/mo (Rankability survey, January 2026). Entry pricing elsewhere: Profound $99, Peec AI $96, Scrunch $250, Otterly $29. Most of them tell you which answers you are missing from. This one also gives you the questions to answer.
Where the plans differ
Every plan includes Reddit and Hacker News as mined sources, the GEO score and cited-thread opportunities, clustered buyer questions, Google rank badges on matched threads, site readiness checks, and per-page citation tracking.
Feature
Basic$129/3 mo
Growth$259/3 mo
Agency$649/3 mo
Coverage
Products tracked
1
3
10
AI Visibility checks
450/mo (15/day)
1,200/mo (40/day)
3,600/mo (120/day)
Answer engines
Perplexity
Perplexity + ChatGPT
Perplexity + ChatGPT
Auto-scan cadence
Every 24h
Every 12h
Every 6h
Output
Writing plan regenerations
3/week
10/week
30/week
AI page drafts
5/week
20/week
60/week
Shareable Opportunity Reports
1 (one per product)
3 (one per product)
10 (one per client)
Founder Pack
One-time
Just want a taste first? Run the full loop on one product for 30 days, pay once, no recurring charge. Upgrade to a plan anytime to keep your threads live.
Thirty days buys the work, not the results. AI citations run on a slower clock: 60 to 90 days before anything typically moves, three to six months before it holds steady, and some pages never get cited at all. Anyone selling you AI visibility inside a month is lying about the timeline.
By day 30
The work is shipped
Every repeating buyer question found, scored, and dated into a writing plan
First comparison and answer pages live on your site
A baseline reading of which products assistants name today, so day 90 has something to compare against
Your accounts intact — CueScout never posts anything itself
By day 90
The citations start moving
This is the earliest window where AI assistants begin citing pages published around day 30
Google rank badges show which of those pages and threads are ranking
Some pages get cited, some never do. You will see which ones from the tracking, not from a promise
So the pack ends five to eight weeks before the citations it set up are due. On day 25 CueScout shows you what your 30 days actually produced and what the next 60 are for, and you decide then. A plan is what keeps the scans, the monthly roadmap refresh, and the citation tracking running across that gap.