Pot să vibecodez CueScout?

Ce construiești

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.

ce îți trebuie

• 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.

Promptul

Un weekend cu un agent de coding. Golurile care rămân sunt mai jos, la „ce pierzi”.

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.

Ce pierzi

• 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

De ce se plătește în continuare

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: Calitatea execuției Integrări ce e un moat

continuous scan + writing-plan orchestration, not proprietary data; the underlying Reddit/HN corpus is public and unlicensed

Alternative gratuite

N-ai chef să ți-o construiești? Astea există deja, sunt gratuite sau open source, și le-am verificat una câte una.

Cine l-a construit deja

Să pornești de aici e tot vibecoding: promptul e pentru când o vrei exact în felul tău.

• Elmo (se deschide într-o filă nouă) — MIT-licensed self-hosted AEO/GEO tracker: runs prompts across the major answer engines and records mentions, competitors, and cited sources (alive)

Ești de acord?

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