LSLaunchStack AI

Launch playbook

First 30 days AI product launch playbook

A practical launch operating plan that turns one AI product into indexed pages, directory submissions, social proof, and measurable acquisition loops.

Target keyword: AI product launch playbook

Outcome

Ship the first acquisition loop: indexed pages, launch submissions, UTM tracking, objections, and a weekly iteration rhythm.

Evidence notes

  • The playbook follows local SOP guidance: demand and promotion matter more than adding random features.
  • Google docs inform the crawlability, sitemap, and helpful-content checks.
  • Product Hunt and analytics sources inform launch preparation and measurement discipline.
1

Days 1-3: Launch base

Make the product explainable, crawlable, and measurable.

Actions

  • Publish home, pricing, privacy, terms, sitemap, and at least three problem pages.
  • Connect analytics and define visits, pricing clicks, submit starts, and signup goals.
  • Create one canonical product description plus three directory-specific variants.

Metrics

  • Core pages indexed
  • Analytics events firing
  • Directory copy variants ready
2

Days 4-10: Distribution

Submit to relevant launch channels without creating duplicate thin content.

Actions

  • Submit to selected AI directories and startup launch platforms with UTM links.
  • Publish one founder thread, one tutorial post, and one build note.
  • Record every listing URL, review status, backlink attribute, and referral click.

Metrics

  • Submissions sent
  • Referral sessions
  • Published listing URLs
3

Days 11-30: Learn and expand

Use objections and search impressions to decide what to build next.

Actions

  • Turn repeated questions into FAQ and comparison pages.
  • Refresh titles and descriptions only after GSC query evidence appears.
  • Create two BOFU pages around competitors, use cases, or pricing objections.

Metrics

  • GSC impressions
  • FAQ additions
  • BOFU page conversions

Operating cadence

  • Daily in launch week: publish or submit one asset, record source URL, and capture objections.
  • Weekly after launch: review GSC impressions, analytics goals, referral quality, and revenue signals.
  • Monthly: prune weak channels and turn high-intent objections into comparison or template pages.