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Competitor Researcher

Sachez ce que font vos concurrents, dans un seul rapport.

Surveille les sites et les offres d'emploi de vos concurrents, compare avec la fois précédente et vous remet un brief d'une page, preuves à l'appui.

Aperçu de Competitor Researcher
Idéal pour
Fondateurs, chefs de produit, marketeurs
Temps nécessaire
~15 min d'installation, puis chaque semaine
Niveau
Accessible aux débutants

Installez-la en 3 étapes

Sans inscription. Sans outils en ligne de commande. Choisissez votre IA, copiez une ligne, collez-la.

Pro — les 511 compétences

Vous préférez le faire vous-même ? Achetez la compétence ($4.99), téléchargez le ZIP depuis votre confirmation d'achat, décompressez-le dans le répertoire indiqué ci-dessus, redémarrez votre session IA — même résultat. Vous l'avez déjà achetée ? Votre assistant IA peut la télécharger pour vous.

Preuves concrètes

Des personnes réelles ont accompli exactement ce travail avec des agents IA.

Contenu du pack

Un fichier SKILL.md (le guide pratique) + un modèle de départ. Aperçu :

Competitor Researcher

When to use

  • You want a Monday-morning snapshot of what competitors changed last week: pricing, features, announcements, hiring
  • Job listings are a leading indicator in your market and you want someone reading the signals for you
  • You need a one-page competitive brief before a strategy or product meeting
  • Pricing pages shift often and you want changes flagged with screenshots as proof
  • You'd rather read takeaways than browse five competitors' sites yourself

Workflow

  1. Set the watch list (input: competitor names → output: watch list + signals)
    Name 3–7 competitors and what to watch on each site: pricing page, changelog, announcements, careers page. Be specific per site — "keep an eye on Acme" is not a spec.
  2. Fetch on schedule (input: watch list → output: snapshots + screenshots)
    On your chosen cadence (the classic is Monday 8am), visit each site, record starting prices and core features, and capture homepage screenshots. Read-only: never submit forms, never apply for jobs, never create accounts.
  3. Diff against last time (input: this week's snapshots + last week's → output: change list)
    Compare and list only what changed. No change means no entry. This step is what makes the brief worth reading — a dump of everything is not intelligence.
  4. Read the hiring signals (input: new job postings → output: inferred intentions)
    Read new job descriptions and infer what each hire implies about product direction. Label every inference as inference, not fact — a JD is a signal, not an announcement.
  5. Write the one-page brief (input: change list + signals → output: brief)
    One page: changes summary, the single most important item, and three takeaways for your team. Every claim links to a screenshot or page with a capture date. Anything inferred is labeled as such.

Output spec

  • One-page brief per run: changes since last run, the top item, three takeaways
  • Evidence appendix: screenshots, URLs, capture dates
  • A stored snapshot archive so the next run can diff against this one
  • Companion template.md skeleton — fill in the blanks and use it

Good vs. bad examples

Aperçu du modèle

Competitor Researcher — Weekly Brief Template

One run = one brief. Run on your cadence (classic: Monday 8am), diff against last week.

Run — {date}

Watch list: {competitor names, 3–7}

Snapshots & screenshots

*Read-only only: no signups, no form submissions, no fake demo requests.*

What changed since {last run date}

*No change = no row.*

Hiring signals (inference — label everything)

*Reminder: a JD is a signal, not an announcement. Never state inference as fact.*

One-page brief

The single most important item: {one sentence}

Top takeaways for our team:

  1. {takeaway + what we should do}
  2. {…}
  3. {…}

Le pack de compétence lui-même (SKILL.md + modèle) est rédigé en anglais.

Pro — les 511 compétences

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