Rank in local pack and boost GBP signals

Audit and optimize for local pack ranking, GBP signals, and AI recommendations

Service area businesses where GBP completeness + review velocity + NAP consistency + AI recommendation signals determine local pack rank.

• · target URL (local business)
• · optional: business type auto-detection

• · GBP signal audit (completeness, review recency, category fit)
• · NAP consistency check (name, address, phone across web)
• · review signal analysis (velocity, sentiment, response rate)
• · local schema validation (LocalBusiness, ServiceArea, OpeningHours)
• · ChatGPT/AI recommendation signal scoring
• · local pack positioning vs competitors

• · fetch_page.py (on-page signals)
• · firecrawl (crawl local citations)
• · optional: DataForSEO local listings API
• · optional: Google Business Profile API
• · perplexity or ChatGPT (for AI recommendation likelihood)

• · business is brick-and-mortar or hybrid (not pure remote)
• · GBP profile exists or is creatable

• · GBP profile unverified — ranking signals hidden
• · NAP inconsistency across citations — low local authority
• · ChatGPT mentions rare — low AI recommendation probability

• · 9-metric benchmark table (GBP signals 32%, proximity 55.2%, reviews 20%, local searches 46%, mobile near-me 76%, ChatGPT adoption 45%, ChatGPT CVR 15.9% vs organic 1.76%)
• · business type detection from page signals
• · 4-subagent spawn triggers (always local, GBP audit, review intelligence, competitor radius mapping)
• · local schema validation (LocalBusiness, ServiceArea, OpeningHours)
• · NAP consistency checks across web presence
• · GBP completeness scoring
• · review sentiment and response time analysis