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ICP Definition geolocal.io

Single source of truth. All investor, GTM, and engineering docs must reference this file for persona details.
Last updated: 2026-07-16


Primary ICP (Tier 1 "The Perfect Fit")

Attribute Description
Business type Independent, locally-owned SMBs with physical presence or local service radius.
Typical verticals Wellness (yoga, pilates, massage), personal care (salons, barbers), home services (cleaning, landscaping, handymen), boutique retail (florists, bike shops, bakeries).
Employees 110 (solo-preneurs to micro-teams).
Revenue $50k$500k annual gross revenue.
Tech maturity Has a website (even a simple one) but no dedicated head of marketing or IT. Uses at least 1 booking tool (e.g., Cal.com, Squarespace Scheduling, Vagaro) or POS that supports appointments.
Pain point Loses walk-in / phone-in leads to AI assistants (Siri, ChatGPT, Alexa) that cannot find or book them; feels invisible in voice/search results.
Motivation Wants to be "found" by AI without learning new software. Willing to pay if it delivers 35 new bookings/month.

Secondary ICP (Tier 2 "The Enterprise-Lite")

Attribute Description
Business type Regional franchises or multi-location SMBs (520 locations).
Typical verticals Dental clinics, auto repair chains, tutoring centers.
Tech maturity Has a central CRM or scheduling API; needs a bulk implementation.
Motivation Wants to standardise AI-discovery across all locations with minimal custom dev.

Common attributes across all ICPs

  • Booking-dependent: Must take appointments or reservations online.
  • Payment-ready: Accepts credit cards (Stripe, Square, or PayPal) required for the transaction loop.
  • Google Maps presence: Has a Google Business Profile (needed to verify physical location).
  • Decision-maker: Owner or store manager (not a corporate procurement department).
  • Budget signal: Currently spends >$100/mo on at least one marketing channel (Meta ads, Google Ads, or SEO tool).

Buying signals we look for

  1. Mentions "not showing up in ChatGPT" or "Alexa can't find us."
  2. Currently uses a paper/phone booking system alongside a digital one.
  3. Has asked their agency/SEO consultant about "AI search optimisation."
  4. Churn risk with current booking software (complains about cost or complexity).

Anti-ICP (do not target)

  • E-commerce only (no physical/local service).
  • Enterprise with >100 locations and dedicated engineering teams (they will build internally).
  • Pure B2B SaaS or products sold via distributors (no direct consumer booking).
  • Businesses that do not accept online payments.

How to use this definition

  • GTM teams: Use the buying signals for lead scoring and partner briefs.
  • Engineering: Use the tech-maturity attributes to scope the .well-known setup and default data model.
  • Investor docs: Reference this as the "target wedge" 1.2% of 33M US SMBs = our initial TAM.

Any updates to ICP must be made here first, then propagated to derivative docs.