Local Search Diagnostic
Local SEO Audit & Diagnostic Framework
Use the audit framework to understand the local-search system, then choose the right evidence depth: a free visibility preview, a paid one-time intelligence study or ongoing Local SEO implementation.
01 / Why it matters
A local audit is useful when it leads to the right decision—not when it becomes a disconnected cheap product.
Local SEO problems often span several surfaces at once. A weak Maps presence may reflect profile relevance, website architecture, reputation, geographic competition or inconsistent business information. A location page may perform poorly because it is thin, duplicated or disconnected from the rest of the site.
KeenSight treats the audit as a diagnostic framework rather than a separate low-cost SKU. The low-friction entry point is the Free Visibility Preview. When the decision requires deeper one-time evidence, a Search Intelligence Report can expand the market, competitor and local-search analysis. When implementation is the real need, Local SEO becomes the recurring operating model.
The purpose of deeper diagnosis is to separate structural problems from normal geographic constraints and to define what should be implemented, by whom and how the market will be re-measured afterward.
02 / Operating model
Local visibility is a connected system.
Each layer should reinforce the next. Optimizing one isolated field rarely fixes a weak local information environment.
Start with a limited preview
Use the Free Visibility Preview to establish whether there is enough observable local-search evidence to justify deeper work.
Expand the evidence when needed
Use a paid Search Intelligence Report when the decision needs a broader local market, competitor, Maps or AI-search diagnostic without ongoing implementation.
Validate location entities
Review locations, Business Profiles, services, operating information and consistency across profiles, website pages and structured data.
Inspect location architecture
Evaluate location URLs, internal linking, indexability, canonicalization, duplication and relationships between local and service content.
Prioritize the constrained layer
Separate geography, relevance, reputation, authority, technical architecture and conversion constraints instead of treating every finding equally.
Move into implementation only when needed
Use ongoing Local SEO when KeenSight should own the recurring implementation and re-measurement cycle.
03 / System design
The decision path is Preview → deeper intelligence when needed → managed Local SEO when implementation is required.
A free preview should not pretend to be a full local audit. A paid one-time diagnostic should not be sold as recurring implementation. And ongoing Local SEO should not spend the first months rediscovering evidence that a properly scoped diagnostic could establish up front.
Keeping those responsibilities distinct makes the commercial path easier to understand: use the smallest evidence product that can support the decision, then add implementation only when the organization actually needs KeenSight to own it.
04 / What we work on
What a deeper local diagnostic can examine.
The exact scope depends on the business model, number of locations and decision being made. A paid Search Intelligence scope can expand the evidence beyond the limited free preview.
Location entity and business information
Validate names, addresses or service areas, phones, hours, status, service relationships and consistency across the website and major business surfaces.
Google Business Profile and Maps
Review ownership, categories, services, linked pages, profile quality, geographic visibility and competitor displacement across relevant local queries.
Location-page architecture
Inspect location-page eligibility, URL hierarchy, internal linking, technical indexability, canonicals, duplication and relationships with service pages.
Reviews and reputation
Assess legitimate review volume, recency, response operations, location-level patterns and whether reputation evidence supports the services being marketed.
Structured data and entity consistency
Check whether visible business information and structured representations agree, and whether parent-brand/location relationships are clear.
Local AI recommendation visibility
Test representative conversational questions to observe whether the brand appears, which competitors are suggested and what sources are cited.
05 / Search graph
Connect the pieces of your local-search presence.
The service is more useful when it connects to the technical, entity, content and measurement pages around it.
06 / Measurement
Establish a baseline that can be re-measured after implementation.
The diagnostic should leave behind a defensible starting point. It should not imply fixed local rankings, guaranteed Map Pack placement or control over third-party AI recommendations.
08 / Next action
Start with the smallest evidence product that can answer the local-search question.
Use the free local visibility preview first. If the signal warrants deeper diagnosis, expand into paid Search Intelligence; if the organization needs implementation, move into the Local SEO operating model.