Resources
A practical library for the AI discovery shift
Playbooks, checklists, and explainers on the four-pillar model and how to improve AI Visibility.
If you want the fast path, start with the stack and the monthly workflow.
Start here
The stack, in one diagram
AI Visibility is a blended score across GEO, GEM, AI Perception, and AI Identity. Learn the model first, then use the workflow to improve it month over month.
GEO — Generative Entity Optimization
On-site readiness: structure, metadata, schema, and intent coverage.
GEM — Generative Entity Model
Off-site corroboration: the strength, consistency, freshness, and coverage of external signals that support the entity.
AI Perception
How models currently define and understand the business, including awareness, understanding, trust, and reach.
AI Identity
Canonical identity infrastructure: define, publish, validate, and observe a machine-readable business identity.
AI Visibility Score
Gemmetric's blended top-line score across GEO, GEM, AI Perception, and AI Identity.
It reflects the combined state of structural readiness, external corroboration, model interpretation, and canonical identity.
Playbooks
Frameworks you can apply immediately
These cover the mental model, the monthly operating cadence, and how to translate insights into deployable fixes.
The AI Visibility Playbook
A framework for improving GEO, GEM, AI Perception, and AI Identity. Includes the AI Visibility Stack and an implementation checklist.
Read the playbookWhat Is Generative Engine Optimization?
A clear definition of Generative Engine Optimization (GEO), how it fits into the four-pillar model, and how AI Visibility is measured.
Read the GEO guideThe AI Optimization Workflow (Monthly)
A repeatable cadence: scan, diagnose, apply fixes, re-scan, improve. Designed for operators and agencies.
View the workflowFor Agencies and Managed Website Teams
Commercial-intent pages for service teams
Start here if you need a product-true explanation of how Gemmetric fits client reporting, repeatable scans, and ongoing service work.
AI Visibility for Agencies
How agencies can turn AI visibility review into a repeatable client service built on scans, findings, fix-ready outputs, and re-scan validation.
Read the agency pageAI Visibility Reporting for Agencies
How scan-driven reporting, priorities, deployables, and PDF-ready outputs support client review calls and implementation follow-up.
Read the reporting pageAI Visibility for Website Management Companies
How managed-site teams can add AI visibility review to ongoing website care with repeatable scans, fix-ready outputs, and re-scan validation.
Read the managed-site pageHow Agencies Sell AI Visibility Audits
How agencies can package AI visibility audits using scan-driven findings, reporting, implementation follow-up, and re-scan validation.
Read the audit pageSEO Agencies and AI Search Optimization
How SEO agencies can extend their services into AI visibility work without replacing core SEO workflows or leaning on hype.
Read the SEO agency guideAI Visibility Retainer for Agencies
How agencies can position AI visibility as an ongoing client service using repeatable scans, reporting, and re-scan validation.
Read the retainer pageConcepts
The category language
Use these to explain the shift to teams, clients, and stakeholders who are still thinking in classic SEO terms.
AI Visibility
How AI systems decide which businesses to surface in answers across GEO, GEM, AI Perception, and AI Identity.
Explore AI VisibilityTrust and Methodology
How scores stay defensible: observable signals, transparent scan reliability, and methods teams can audit.
Explore Trust and MethodologyAuthority cluster
The full AI visibility knowledge graph
Start with the category definition, then move through measurement, application, and diagnostic pages.
Education + application
Research notes
High signal explainers
Short reads you can forward to a teammate to establish context fast.
Why SEO is now only half the equation
AI assistants do not return lists. They return conclusions driven by readability, corroboration, perception, identity clarity, and confidence.
Read the explainerThe AI visibility signal stack
A map of structural signals (GEO), corroboration signals (GEM), model-understanding diagnostics (AI Perception), and canonical identity infrastructure (AI Identity).
See the signal stackWant this on your domain?
Start with access. We will scan, score, and produce Fix Packs you can deploy.