[verdict][curated prompt][source: cuescout.com]
Can I vibecode CueScout?
// buildable in a weekend, but real gaps stay open
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.
confidence: medium
what it is: Tracks AI visibility on Perplexity and ChatGPT, mines Reddit and Hacker News for buyer questions, and turns the gaps into a dated writing plan
Buildability index · an editorial game
- Price 49 $/month weight: plus 3
- Time multi-day weight: plus 1
- Category seo and marketing no weight
- Moat execution quality · integrations weight: minus 2
- Confidence medium weight: zero
- What you lose 5 items weight: minus 2
- Site cuescout.com (si apre in una nuova scheda) no weight
They cancel out. This is where it comes down to how much the subscription annoys you.
Gioco editoriale: il verdetto dice se un agente può, l’indice se conviene.
What you build
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 you need
- 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.
The prompt
A weekend with a coding agent. The gaps that stay are right below, under “what you lose”.
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.Curated prompt: written and reviewed by hand for this app. In English on purpose — it is the language coding agents work best in.
What you lose
- 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
Why people still pay
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.
moat: Execution quality Integrations what a moat is
continuous scan + writing-plan orchestration, not proprietary data; the underlying Reddit/HN corpus is public and unlicensed
Free alternatives
Not in the mood to build it? These already exist, they are free or open source, and we checked them one by one.
Who has already built it
Starting from here is still vibecoding: the prompt is for when you want it exactly your way.
- Elmo (opens in a new tab) — MIT-licensed self-hosted AEO/GEO tracker: runs prompts across the major answer engines and records mentions, competitors, and cited sources (alive)
Do you agree?
The vote balance
Ancora nessun voto: il tuo è il primo.
Nessun voto ancora — il primo pesa.
