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CueScout cuescout.com

Can AI replace CueScout?

The visibility-check loop is the weekend-buildable half: generate buyer questions, run them through Perplexity and ChatGPT, detect brand and competitor mentions, normalize citations, and score a GEO number. That much is close to what a $49/mo plan actually ships, since Basic only covers one engine. What does not fit in a prompt is the continuous Reddit and Hacker News scan that mines buyer questions from real threads instead of guessing them, the writing-plan-to-draft loop that turns a score into dated work, and weeks of trend history without which one run tells you almost nothing.

Verdict: Half-bot · AI gets you partway; the hard part stays hardBuild time: multi-day
Half-bot

01What it costs

$49/moBasic, monthly; quarterly billing is the default toggle
$588per year at that price

Checked Aug 14, 2026 · source: cuescout.com.

PlanMonthlyBilled yearlyWhat you get
Basic$49$39.17/mo1 product; 450 checks/month (15/day); Perplexity only; scans every 24 hours; 3 plan regenerations/week; 20 drafts/month; 1 report.
Growth$99$79.17/mo3 products; 1,200 checks/month (40/day); ChatGPT and Perplexity; scans every 12 hours/product; 10 plan regenerations/week; 80 drafts/month; 3 reports.
Agency$249$199.17/mo10 products; 3,600 checks/month; ChatGPT and Perplexity; scans every 6 hours/product; 30 plan regenerations/week; 240 drafts/month; 10 reports.
Founder Pack——30 days of Basic-level access for 1 product.

Hidden costs: More than 10 products requires custom pricing.

02Could AI build it for you?

The core job: Generate buyer questions for a product, run them through Perplexity and ChatGPT, detect brand and competitor mentions, collect citations, and score a basic GEO number.

What a working version needs:

  • Perplexity API key
  • OpenAI API key
  • durable per-run storage
  • a scheduler for repeat runs

The visibility checks are two providers, not nine; the Reddit/HN scan and writing-plan loop are the part actually worth paying for.

03What you'd give up

  • the continuous Reddit and Hacker News scan and buyer-question clustering, which finds where buyers are already asking instead of guessing questions to feed a model
  • Google rank badges on matched threads, sourced from a paid search API
  • the writing-plan-to-draft loop that turns a gap into a dated 30-day plan and AI-ready page drafts, not just a dashboard number
  • weeks of trend history and a competitor 'what moved' digest; a single run is mostly noise
  • a hosted, shareable report link you can hand a client without exposing your own infra

They're paying for the parts that don't fit in a prompt: a script that runs every day for months without babysitting, buyer questions mined from real Reddit and Hacker News threads instead of guessed ones, a writing plan and AI-ready drafts wired to the same gaps the scores found, and a link they can hand a client. None of that is a moat a bigger company can't cross; it's the upkeep most people quit paying attention to by week three.

04Free and cheaper alternatives

Elmoopen-source

Covers the visibility-check half well; it has no Reddit/HN buyer-thread mining and no writing-plan or draft generation on top of the scores.

elmohq.com →

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.

prompt.txt
Build me a local AI buyer-question visibility tracker for one product. Requirements:

- Node 22, TypeScript, SQLite via better-sqlite3, a CLI, and a plain server-rendered dashboard. Local only, no accounts, no telemetry.
- product.json holds my product name, aliases, domain, and up to 5 competitor names.
- `track questions` generates 20 buyer-intent questions from the product name and a one-paragraph description, or accepts a JSON list I supply.
- `track run` sends every question through Perplexity's API and OpenAI's Chat Completions API with web search enabled where supported. Keys live in .env.
- Store one immutable row per run, question, and provider: raw answer, cited URLs, model id, and error text. Never overwrite a prior run.
- Retry transient failures twice with backoff; keep failed cells visible in the report instead of dropping them.
- Detect brand and competitor mentions case-insensitively against the alias list.
- Normalize citation URLs to hostname plus canonical path, strip tracking parameters, then compute a top-sources table and an owned-domain citation rate.
- Compute one GEO score per run: mention rate times citation rate, shown with the raw counts behind it, never just the number.
- `track serve` renders visibility over time by provider, share of voice against each competitor, and the sources table.
- `track export` writes questions, answers, mentions, and citations to CSV.
- Fixture tests for mention detection, URL normalization, and the GEO score calculation.
- Out of scope: Reddit/Hacker News monitoring, Google rank tracking, writing-plan or content generation, hosted sharing, teams, and billing.
- README: setup, per-run API cost estimate, and a cron line for a daily run.

06Open-source starting points

  • Elmo: MIT-licensed self-hosted AEO/GEO tracker: runs prompts across the major answer engines and records mentions, competitors, and cited sources
Sponsor slot · openFeatured alternative to CueScout. A labeled card for one relevant tool.
Book this spot →

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App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.