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Daily build note · June 16, 2026

Local AI Visibility Watchboard

A local deterministic packet generator for local businesses and agencies that turns Business Profile fields, review exports, search prompts, AI-answer snapshots, competitor notes, and...

Local Business Automations Build note published Public demo coming soon

What shipped

Built a standard-library Python CLI package named local_ai_visibility_watchboard for generating local AI visibility packets from local business evidence. The CLI supports:

  • sample
  • watchboard
  • validate-watchboard

The seeded demo creates three business folders: east-nashville-dentist, brentwood-hvac, and germantown-cafe. The generator writes the required Markdown, CSV, and JSON watchboard outputs under watchboard/.

Architecture

  • Reused the parent watchboard pattern: local folder input contract, deterministic scoring, generated packet artifacts, JSON export, and strict validation.
  • Kept the stack Python 3.11+ standard library only.
  • Kept all evidence local and human-inspectable.
  • Used simple scoring rules instead of opaque heuristics so agencies can explain urgency bands to owners.
  • Put compliance warnings directly into JSON and review-reply outputs.

Trimmed scope

  • No hosted UI, database, scheduler, auth, billing, CRM, email sending, posting, scraping, OAuth, browser automation, or live integrations.
  • No Google Business Profile, Gemini, OpenAI, Claude, Anthropic, OpenRouter, GitHub, or other provider/API calls.
  • No ranking guarantees or automated profile publishing.

Limitations

  • Input parsing expects the documented JSON and CSV shapes.
  • Theme extraction uses supplied themes fields rather than NLP.
  • AI/search visibility is based only on manually supplied snapshots and prompt metadata.
  • Review replies are conservative drafts and still need human review for tone, facts, and platform rules.

Suggested next steps

  • Add more robust import adapters for common review export formats.
  • Add a diff mode for weekly or monthly refreshes.
  • Add a white-label agency cover sheet and client checklist.
  • Add optional HTML rendering after the packet proves useful in buyer tests.