GEO Checklist: The Essential Best Practices
The Core GEO Checklist Every SEO Should Have
A solid generative engine optimization checklist covers five areas: content structure and depth, entity-based authority signals, technical markup and schema, off-site citations and mentions, and measurement. Nail these and you give AI systems — ChatGPT, Perplexity, Google’s AI Overviews, and the rest — exactly what they need to pull from your pages and cite you in generated answers.
This checklist comes from the practitioner desk. Terry Samuels and the team at Salterra Digital Services have been doing technical SEO since 2011. GEO is not a rebranding of SEO — it is a meaningful extension of it. The same foundations matter, but the emphasis shifts when the “reader” is a large language model deciding what to quote.
Work through each section in order. Check the box only when the item is fully implemented, not just planned.
Content and Structure
Write a direct, declarative answer in the first 100 words
AI systems scan for the clearest restatement of the query intent. If your opening paragraph hedges or teases, it loses to a page that answers plainly. State the core answer — what it is, who it is for, and why it matters — before you add nuance.
Use descriptive H2 and H3 headings that match real questions
Language models parse heading structure to identify topical segments. Headings written as questions or clear noun phrases (not clever wordplay) make it easier for AI to attribute a specific answer to your page.
Cover the topic with appropriate depth — no padding
Generative engines learn which sources are comprehensive. A 600-word overview on a topic that deserves 1,500 words signals thin coverage. Write until the subtopic is genuinely resolved for the reader, then stop.
Include a definitions section or a glossary for your core terms
AI frequently pulls definitional content because users ask “what is X” at scale. A clear definition block — even a single well-crafted paragraph — gives the model a quotable, attributable answer.
Use numbered lists and structured checklists for process content
Structured content — steps, checklists, comparisons — is more likely to appear in AI-generated responses than prose paragraphs. When the content is genuinely sequential or enumerable, format it that way.
Write at a consistent reading level appropriate to your audience
AI systems assessing source quality consider coherence and clarity. Inconsistent sentence complexity, jargon without explanation, or abrupt shifts in register all undermine how confidently a model will cite you.
Entities and Authority
Name your authors and link to their credentials
LLMs are trained to recognize named entities. When your content is attributed to a real, identifiable person with a verifiable background — bio page, social profiles, speaking history — it scores higher on the authority signals that feed into citation decisions.
Build a well-structured About page for your brand entity
Your organization is an entity in the knowledge graph. A detailed About page with founding date, leadership names, service area, and consistent NAP data helps AI systems resolve who you are and trust what you publish.
Mention your brand and authors consistently across the web
Entity recognition depends on co-occurrence. If your name and your brand’s name appear together repeatedly across credible third-party sources, AI models build a stronger association and are more likely to surface your content as authoritative.
Link internally to your deepest, most authoritative content on each topic
Internal link structure is a signal for topical authority. Pointing from supporting pages to your core pillar guides the crawl and signals to AI systems that one page is the definitive treatment of a subject.
Earn mentions in industry publications, podcasts, and event rosters
Third-party mentions without even a hyperlink still carry weight in how LLMs evaluate expertise. A speaker listing at SEO Spring Training, a podcast guest slot, or a quoted comment in a trade article all build the entity profile.
Technical and Schema Markup
Implement Article or BlogPosting schema on every editorial page
Structured data confirms content type, publication date, and authorship to both search engines and AI crawlers. At minimum, include @type, headline, author, datePublished, and publisher.
Add Person schema for every named author
Person schema — with name, url, sameAs pointing to LinkedIn, Twitter/X, and Google Scholar if applicable — helps AI systems confirm the author is a real, credentialed human rather than a generic byline.
Use FAQPage schema for your FAQ sections
FAQ schema formats your Q&A pairs in a way that is immediately parseable by AI systems looking for direct answers to user questions. Each question-answer pair becomes a discrete retrievable unit.
Implement HowTo schema for step-by-step instructional content
HowTo schema structures process content in a way that AI can extract and present as a guide. If you teach a technique, wrap it properly so the model does not have to infer the sequence from prose.
Ensure your site is crawlable with no blocking of AI user agents
Some AI crawlers use distinct user agent strings. Check your robots.txt and server-level blocks to confirm you are not inadvertently preventing GPTBot, ClaudeBot, PerplexityBot, or similar from indexing your content.
Serve clean, fast HTML — Core Web Vitals still matter
AI crawlers, like search crawlers, favor pages that load reliably. Poor LCP or CLS scores, render-blocking JavaScript, or paywall interstitials all reduce the chance your content is fully indexed and evaluated.
Off-site Citations and Brand Mentions
Claim and fully complete your Google Business Profile
Your GBP is one of the most direct inputs to local AI answers. A complete profile — with category, services, hours, photos, and active review responses — establishes your entity in Google’s knowledge graph and feeds AI Overviews.
Maintain consistent NAP across all directories and platforms
Name, address, and phone number consistency across Yelp, BBB, LinkedIn, and niche directories reinforces entity disambiguation. AI systems synthesize data from multiple sources; contradictions create uncertainty and reduce citation confidence.
Pursue unlinked brand mentions and ask for attribution
When a publication mentions your brand or quotes your work without linking, reach out. A citation — even a no-follow one — strengthens the on-page entity signal and confirms the relationship between your brand and the citing source.
Contribute bylined content to credible external sites in your niche
Guest posts, co-authored studies, and contributed columns on established sites put your name and your brand in contexts that AI systems recognize as peer validation. Choose relevance over volume.
Build topical authority through speaking, events, and communities
Conference speaking, webinar hosting, podcast appearances, and active participation in professional communities all generate the kinds of mentions that AI models use to establish expertise. Terry Samuels built SEO Spring Training and Roundtable SEO Mastermind partly because visible community leadership is its own authority signal.
Measurement and Iteration
Track your appearance rate in AI Overviews using manual spot checks
There is no single tool that reliably tracks AI Overview appearances at scale yet. Run manual searches for your target queries in incognito, note when your content is cited, and log it systematically so you can see trends over time.
Monitor brand mentions across the web with an alert tool
Use Google Alerts, Mention, or a media monitoring platform to capture every new reference to your brand and author names. This surfaces citation opportunities, flags misinformation, and tracks the growth of your entity footprint.
Review your search console for featured snippet wins — these correlate with AI citation
Pages earning featured snippets are the same pages most likely to be cited in AI-generated answers. Featured snippet performance is the closest proxy metric you have while AI-specific tracking matures.
Audit your top 20 pages quarterly for GEO signal completeness
Content ages, schema implementations drift, and crawl settings change. A quarterly sweep of your highest-value pages — checking schema validity, author bios, content depth, and crawlability — keeps your GEO foundation solid as the AI search landscape evolves.
Test your structured data with Google's Rich Results Test after every update
A schema implementation that silently breaks after a CMS update stops feeding structured signals to AI systems. Make the Rich Results Test part of your standard post-publish QA.
Frequently Asked Questions
What is the difference between SEO and GEO?
Traditional SEO optimizes for ranking in a list of ten blue links. Generative engine optimization (GEO) optimizes for being cited, quoted, or summarized inside an AI-generated answer. The foundations — content quality, authority, technical health — overlap significantly. The key difference is that GEO places heavier weight on entity clarity, structured data, and direct declarative answers that language models can extract and attribute.
Do I need to start over if I already have a well-optimized site?
No. A site that already performs well in traditional search has most of the GEO infrastructure in place. The additions are targeted: schema coverage, author entity markup, a robots.txt audit for AI crawlers, and a shift in content writing toward more direct, structured answers. GEO is an extension of good SEO practice, not a replacement.
How long does it take to see results from GEO work?
There is no reliable benchmark yet because the AI search landscape is still maturing. Anecdotally, practitioners see AI citation movement within four to twelve weeks of implementing solid schema, improving content directness, and building consistent entity signals. Measurement is still the weakest part of the GEO workflow, which is why systematic manual spot-checking and featured snippet tracking are the best proxies available today.
Is GEO relevant for local businesses, or only content publishers?
GEO is highly relevant for local businesses. AI-powered local answers — in Google's AI Overviews, ChatGPT browsing, and Perplexity — increasingly pull from Google Business Profiles, local directories, and locally-focused content. A local service business that completes its entity signals, maintains NAP consistency, and publishes genuinely useful local content is well-positioned to appear in AI-driven local answers.
Terry has 30+ years in software and SEO. He’s the founder of Salterra Digital Services and SEO Spring Training, host of the Roundtable SEO Mastermind, and lead instructor at SEO University — teaching the exact tactics his team uses on client work.
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