Published evidence
We name the publisher, link the original source, record the date, and state the sample or policy scope.
Evidence library
Local marketing reports you can check, question, and use
Each guide separates published evidence from interpretation, shows the source and review date, and turns the finding into a practical next step for one real location.
How to read the library
Three evidence levels, kept separate
A published statistic can describe a population. It cannot prove what is happening at one location. Each guide labels the difference.
Local observation
We record what was visible for a specific business, market, query, platform, and collection date.
Recommended action
We explain the reasoning, keep uncertainty visible, and require approval before customer-facing work.
Research guides
Start with the question you need to answer
These pages do not manufacture a bigger number. They explain what reliable sources show, what they do not show, and what a local team can measure next.
01
AI in Social Media: Evidence and Controls
A practical review of official AI-risk guidance and platform disclosure rules, with a workflow for human review before publishing.
Review the evidence02Voice Search Statistics: What Can Be Measured
Separate broad adoption claims from the business facts, search surfaces, and conversion signals a local team can verify.
See the measurement guide03Online Review Statistics and Policy Signals
Use current platform and regulator guidance to evaluate review quality, response coverage, recency, and policy risk.
Review the sources04Social Media Marketing Statistics for Local Teams
Read population-level research with its scope and limits, then choose metrics that reflect real local customer actions.
Choose useful metrics05Local SEO Statistics and Measurement Guide
Start with Google's documented local ranking concepts, then build a repeatable location-level baseline instead of trusting recycled percentages.
Build a local baselineFrom evidence to action
Check the same issue in your own market
Public research is context. LocalCMO helps a team compare it with location-level evidence, prepare an action, approve customer-visible work, and recheck the same signal.
01
Measure local search visibility
Fix the query, area, date, and grid before comparing which businesses customers can find in different parts of a market.
Explore local rank tracking02Find the review gap that matters
Compare source, recency, response status, and recurring themes before preparing a reply or operational follow-up.
Explore review monitoring03Turn local evidence into social ideas
Use customer questions, review themes, local events, and unanswered competitor topics as inputs—then require a human check before publishing.
Explore social media management04Record AI-search evidence
Save the prompt, engine, market, date, complete answer, and cited sources so a later recheck measures the same question.
Explore AI-search visibility05Approve customer-visible work
Keep the source, recommendation, edits, approver, and final status together before a change leaves the workspace.
See the approval workflow06Keep an auditable record
Connect each decision to the evidence available at the time and preserve what changed for the next like-for-like review.
See the audit trailUse your own evidence
Start with one location and one question
Check a customer-visible gap, review the source behind it, and decide whether the proposed action is worth approving.
Customer-visible actions stay behind approval.