Check Google AI Overview and multi-engine technical eligibility
Improve AI-search readiness with evidence—not myths.
Use five source-backed Excel resources to check technical access, answer quality, original evidence, entity clarity, citation readiness and repeatable visibility measurement across modern search experiences.
Excel workbooks · No email gate · Practical context included
AI SEO, AEO & GEO Checklists in the real world.
Relevant market context, customer intent and measurable digital performance—connected in one focused growth system.
Audit technical access, answer quality, source credibility, entity clarity and AI visibility without relying on myths or guarantees.
Every download includes enough structure to support real work, while leaving room for your market, evidence, priorities and professional judgment.
Create direct, supported answers that help people and answer systems
Measure mentions, citations, accuracy, referrals and conversions separately
AI SEO, AEO & GEO Checklists
Improve eligibility, evidence, entity clarity and measurement across AI Overviews and generative answer systems. Choose the file that matches your current task, or use the recommended sequence below.
Google AI Overview Guide
A 2026 source-backed readiness checklist for Google AI Overviews and AI Mode.
Use it to review eligibility, crawlability, content distinctiveness, evidence, media, official measurement and myths. It improves readiness but does not promise inclusion or citation.
- Eligibility, controls and technical access
- Evidence, structure, media and source quality
- Official reporting and myth checks
AI Visibility Audit
Audit how a brand is accessed, understood, mentioned and cited across AI search experiences.
Use a fixed prompt set and documented testing conditions to measure visibility across relevant engines without confusing mentions, citations, referrals, accuracy and conversions.
- Crawler access and technical eligibility
- Prompt benchmarks, citations and source-share tracking
- Entity accuracy, referrals and competitor comparison
AEO Template
A question-to-answer workflow for creating direct, useful and well-supported answers.
Use it for answer-led pages, FAQs, support content and comparison content. It connects real audience questions with intent, evidence, entities, structured data, UX and measurement.
- Question inventory, intent and audience mapping
- Direct-answer, evidence and entity checks
- Structured data, voice, authority and measurement
GEO Checklist
A practical checklist for building sources that generative systems can confidently retrieve and cite.
Use it to strengthen original evidence, source clarity, entity consistency, technical access, reputation, distribution and volatility-aware measurement across generative engines.
- Engine, prompt and baseline strategy
- Citation-worthy evidence and source structure
- Entity, reputation, distribution and measurement checks
Official Sources & 2026 Change Log
The primary-source reference sheet behind the templates and their current guardrails.
Use it to verify recommendations, audit policy-sensitive claims and schedule quarterly rechecks for crawler documentation, AI-search controls, link policies and contributor programs.
- Official Google, Bing and OpenAI references
- Current takeaways and affected templates
- Checked dates, URLs and maintenance notes
How to use this collection.
Follow the sequence once, then adapt the cadence to the size of the site, the available evidence and the team responsible for delivery.
Confirm crawler access, indexability and controls
Record the input, decision, owner and evidence before moving to the next stage.
Improve evidence, entities, answers and source clarity
Record the input, decision, owner and evidence before moving to the next stage.
Test a fixed set of relevant prompts consistently
Record the input, decision, owner and evidence before moving to the next stage.
Track visibility and recheck official platform guidance
Record the input, decision, owner and evidence before moving to the next stage.
Strong templates support judgment; they do not replace it.
Verify current platform requirements, replace example data, document assumptions and review every high-impact recommendation before changing a live website.
- Use current first-party business and performance data whenever possible.
- Separate observed facts, calculations, hypotheses and recommendations.
- Assign an owner, deadline and acceptance test to implementation work.
- Keep a record of source dates, changes made and measurable outcomes.
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