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FREE INTERACTIVE DIAGNOSTIC

SignalMap
Local Presence Lab

Turn a messy listings program into a visual operating model. Score accuracy, ownership, publisher reach, governance, and AI-answer readiness—then see exactly what to fix first.

01 / INPUTS

Model your listing environment

No login. No upload. Your inputs stay in this browser.

Publishers verified directly
02 / SIGNAL MAP

Exposed presence system

Your overall readiness score is a weighted diagnostic, not a search-ranking promise.

64READINESS
Data integrity74
Governance64
Publisher reach60
AI readiness52
75publisher-location records in scope
16estimated records needing verification
8locations with potential ownership gaps
03 / PRIORITY QUEUE

Fix the weakest signals first.

The queue updates as the model changes. It prioritizes customer harm, operational control, coverage, and retrievable evidence.

  1. 01
    Current pillar score: 52

    Create answer-ready location evidence

    Publish crawlable location facts, concise definitions, provenance, and source-backed operating guidance; then test whether web-enabled AI answers retrieve it.

  2. 02
    Current pillar score: 60

    Complete the core publisher set

    Add Facebook, Yelp to the live audit instead of relying only on syndication status.

  3. 03
    Current pillar score: 64

    Close ownership and approval gaps

    8 locations may lack durable ownership. Document primary owners, recovery contacts, field approvers, and offboarding rules.

  4. 04
    Current pillar score: 74

    Repair customer-facing facts

    Verify the 16 publisher-location records most likely to contain a mismatch, starting with hours, phone, address, status, and map pins.

METHODOLOGY

What this diagnostic measures

SignalMap uses transparent weighted indicators across four pillars: data integrity, governance, direct publisher verification, and answer-ready evidence. It estimates operational exposure from the inputs you provide; it does not access private profiles or claim to measure rankings.

Use the output to plan a live audit. Verify important fields on the public publisher surface, preserve ownership evidence, and treat AI citation tests as observations rather than guaranteed outcomes.