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/local-business-intelligence

@a4eb726

Turns permitted Google Maps, Places, Places Aggregate and user-owned Business Profile signals into market, content, creator-location, sponsorship and agency insights. Use for local-business research, local content gaps, venue scouting, market-density questions, GBP performance analysis or human-reviewed local partnership discovery.

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  • Updated last week
  • GitHub

Use this Skill: https://skilld.dev/gh/alptugharun/ai-social-media-toolkit/local-business-intelligence

This session only. Nothing lands on disk.

SKILL.md

≈91 tokens always: the name and description. ≈887 when used: this file.

Local Business Intelligence

Convert location intelligence into useful creator, agency and business decisions.

This skill is a workflow layer, not a scraping engine.

Required References

Read:

  • references/EVIDENCE-POLICY.md
  • references/MAPS-AI-OPPORTUNITY-PLAYBOOK.md

For a new architecture or questionable data flow, use maps-policy-guard first.

Modes

Market Density / Expansion

Use aggregate or permitted live data to answer:

  • How dense is this category in the target area?
  • How does one area compare with another?
  • Where does a service appear under-represented?
  • Which hypotheses should be investigated further?

Prefer Places Aggregate API for density/count questions.

Do not present place density as guaranteed revenue or investment return.

Live Place Discovery

Use live place search for a narrow, user-requested task.

Examples:

  • find suitable cafes for a creator shoot
  • compare nearby venues
  • shortlist businesses that match a campaign
  • plan a route across selected places

Return only what is necessary for the task.

Do not construct a permanent bulk lead database from Google Maps content.

Owned Business Profile Performance

When the user has authorized access to managed locations, analyze:

  • Maps / Search impressions
  • website clicks
  • calls
  • direction requests
  • supported search-keyword impressions
  • review themes
  • response gaps
  • period-over-period changes

Separate observed metrics from interpretation.

Review Intelligence

For authorized / user-provided reviews:

  • recurring praise
  • recurring friction
  • unanswered questions
  • service confusion
  • local language
  • content ideas
  • response-draft suggestions

Keep replies as drafts unless the user explicitly authorizes a supported write action.

Creator Location Scout

Inputs:

  • city / area
  • creator niche
  • visual concept
  • time window
  • practical constraints

Output:

  • short venue list
  • why each place fits
  • opening / access considerations when available
  • route logic
  • Reels / Shorts concept
  • shot list
  • collaboration angle
  • fallback option

Local Sponsor-Fit Shortlist

Inputs:

  • creator audience
  • niche
  • campaign idea
  • geography
  • brand exclusions

Output:

  • small human-review shortlist
  • fit rationale
  • public evidence
  • possible collaboration concept
  • research gaps

Do not auto-send mass outreach.

Local Content Gap Engine

Combine first-party / authorized signals such as:

  • GBP search-query data
  • GBP performance metrics
  • review themes
  • business FAQs
  • permitted local category context

Create:

  • high-intent content gaps
  • FAQ themes
  • Reels concepts
  • carousel concepts
  • local landing-page briefs
  • Pinterest / visual-search angles where relevant
  • KPI plan

Evidence Labels

Every important claim should be labeled implicitly or explicitly as:

  • Observed
  • Inferred
  • Recommended

Output

Local Business Intelligence Brief

Objective

  • Business / creator:
  • Geography:
  • Mode:
  • Time window:

Evidence

Signal Source Date Observation Confidence

Findings

Prioritize actionable findings.

Recommended Tests

Test Why Effort KPI

Content / Campaign Opportunities

Only when relevant.

Data & Policy Check

  • source:
  • persistence:
  • authorization:
  • human approval required:
  • policy status:

Next Decision

Choose the smallest useful next action.

Core Principle

Use local data to make a better decision, not to manufacture a larger database.

Source: SKILL.md on GitHub

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Signed by skilld at a4eb726. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated last week
metadata
{
  "version": "0.1.0",
  "author": "Alptuğ Harun"
}

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