What is Generative Engine Optimization (GEO)?

• Increases chances of being cited in AI answers.
   
• Improves snippet clarity that also boosts classic rankings.
   
• Reduces ambiguity, which lowers crawl waste and indexing errors.
   
• Strengthens E-E-A-T signals that search and LLMs share.
   

Is GEO different from traditional SEO?
Yes. SEO optimizes for ranking documents. GEO optimizes for being read, chunked, and grounded by LLMs. You need both.

• FAQs, how-to guides, checklists, comparisons, product docs.
   
• Service pages with clear scopes, pricing, locations, and guarantees.
   
• Research, stats pages, and original data.

• Start with a 2–3 sentence summary.
   
• Use question-style H2/H3s.
   
• Short paragraphs, real bullet lists, and tables for specs.
   
• Explicit definitions, constraints, and caveats.

• Clean titles, descriptive meta descriptions.
   
• Publish and updated dates.
   
• Author, organization, and contact details.
   
• Canonical URLs and logical breadcrumbs.

 Link to primary sources. Name datasets and methods. Provide references near claims. LLMs favor content with clear provenance. 

Link each claim or feature page to a canonical explainer. Use anchor text that matches the question a user would ask. Keep link depth shallow. 

Yes. Add alt text, captions, and transcripts. Provide figure labels and short summaries; LLMs use this to extract facts. 

• Fast TTFB and Core Web Vitals.
   
• Stable HTML structure; avoid hiding core content in canvas/iframes.
   
• XML sitemaps (page + news/video as relevant).
   
• robots.txt and meta robots set correctly.

• Track assisted sessions from AI search surfaces where available.
   
• Monitor branded and non-brand queries that mirror your H2/H3 questions.
   
• Record appearances/citations in AI answers (manual spot checks + tools).
   
• Watch scroll depth and copy events on key sections.
   
• Compare before/after for FAQ and how-to pages.

• % of target pages with valid schema.
   
• of pages with summary + Q-style headings.
   
• Citation count in AI answers (where visible).
   
• Share of impressions from AI surfaces and rich results.
   
• Conversion rate on GEO-optimized pages.

• Vague headings and long walls of text.
   
• Fake or misused schema.
   
• Hiding key facts in images or PDFs.
   
• Thin author/org info.
   
• No summary, no pricing, no location clarity.

No. Authority still matters. GEO improves machine understanding; links and mentions still drive trust. 

• Pick 10–20 highest-value pages.
   
• Add summary, Q-style H2s, bullets, and a table where useful.
   
• Add JSON-LD schema.
   
• Link to proofs and policies.
   
• Submit in sitemap and check indexing.
   
• Log results and iterate.

 Avoid unverifiable medical, legal, or financial claims. Cite sources. Mark user-generated content. Respect privacy in logs and analytics. 

Weeks for crawl/index changes. Longer for citations in AI answers. Treat it like ongoing content hygiene, not a one-off hack. 

• Schema validators and structured data testers.
   
• Log analyzers for crawl and render.
   
• Content linters for headings, summaries, and tables.
   
• Monitors for AI answer citations where available.

 Use JSON-LD for: FAQPage, HowTo, QAPage, Product, Service, Article/BlogPosting, Organization, LocalBusiness, BreadcrumbList, Review. Include author, datePublished, dateModified, aggregateRating when valid.