The Citora GEO Playbook: How to Get Recommended by AI Engines
Generative Engine Optimization is the discipline of making your brand visible in AI-driven search. This playbook covers what we've learned about how AI engines cite brands — and what you can do to improve your visibility.
What is GEO?
Generative Engine Optimization (GEO) is the practice of optimizing your brand to be cited, recommended, and mentioned by AI search engines like ChatGPT, Perplexity, Claude, Gemini, and Grok.
More and more B2B buyers are starting vendor research inside AI assistants rather than traditional search. But while SEO gave marketing teams visibility into Google rankings, there has been no equivalent for AI citations. GEO fills that gap.
The shift is structural. AI engines don't crawl the web and rank pages like Google. They retrieve information from training data and external sources, then synthesize answers. To be recommended, your brand needs to exist in the sources AI trusts — and in the contexts where buyers ask questions.
The 7 Sources AI Engines Cite Most
Based on how AI engines are designed and what they are trained on, certain source types appear most frequently in AI recommendations. For each, we explain why AI tends to trust it and how to optimize your presence there.
Why AI cites it: AI engines trust community discussions for authentic, unfiltered opinions about products.
How to optimize: Host AMAs in relevant subreddits (r/SaaS, r/marketing, r/SEO). Engage genuinely in product comparison threads. Create case study posts that mention real results.
Tactical tip: Don't astroturf. AI models detect promotional language. Authentic, detailed responses get cited more often.
G2 / Capterra Reviews
Why AI cites it: Structured review platforms are heavily weighted in AI training data due to their consistency and depth.
How to optimize: Encourage happy customers to leave detailed reviews mentioning specific features and use cases. Respond to negative reviews with solutions — balanced sentiment increases credibility.
Tactical tip: Reviews that mention competitor comparisons and specific use cases tend to carry more weight than generic praise.
Your Blog & Help Docs
Why AI cites it: Owned content gives you full control over narrative, keywords, and structured data that AI engines parse.
How to optimize: Create definitive guides targeting comparison and 'best of' queries. Use clear headings, tables, and structured data markup. Update content quarterly to signal freshness.
Tactical tip: Pages titled '[Your Product] vs [Competitor]' are among the most-cited source types in B2B AI responses.
Third-Party Listicles
Why AI cites it: 'Best X Tools' articles are explicitly designed to compare products — exactly what AI engines need for recommendation queries.
How to optimize: Build relationships with publications in your niche. Offer unique data or quotes for their roundups. Create your own independent research that others cite.
Tactical tip: Being ranked #1–3 in a listicle correlates strongly with AI citation frequency. Focus on quality over volume.
Wikipedia & Knowledge Graphs
Why AI cites it: AI engines use knowledge graphs to verify factual claims about companies, products, and people.
How to optimize: Ensure your company has a Wikipedia page (if notable). Implement Organization schema on your homepage. Maintain consistent NAP (Name, Address, Phone) across the web.
Tactical tip: Wikidata entries are increasingly used by AI engines for factual grounding. Claim and maintain your Wikidata item.
News & Press Releases
Why AI cites it: Timely news signals relevance and authority. AI engines cite recent developments when answering current queries.
How to optimize: Publish genuine news: funding, major product launches, partnerships, or original research. Distribute through PRNewswire or niche industry publications.
Tactical tip: Press releases that include original data or research tend to attract more citations than pure product announcements.
Research & Whitepapers
Why AI cites it: Academic and original research carries the highest authority weight in AI citation algorithms.
How to optimize: Publish original research on your industry. Sponsor academic studies. Create benchmark reports with methodology that others can reference.
Tactical tip: Research with a clear methodology and freely available data is more likely to be referenced as a primary source.
The GEO Score
Citora calculates a single visibility score (0–100) for every brand we track. The GEO Score is a weighted composite of four factors:
What percentage of tracked prompts cite your brand at least once.
Your percentage of brand mentions versus competitors across all prompts.
How many different source types (Reddit, G2, blog, etc.) cite your brand.
Whether your citation rate is improving, stable, or declining over 30 days.
How to Improve Your GEO Score
1. Track the right prompts
Don't just track your brand name. Track funnel-stage prompts: awareness ("what is CRM"), consideration ("best CRM for SaaS"), and decision ("Salesforce vs HubSpot vs [you]"). Citora's AI prompt generator suggests 20 starter prompts based on your domain.
2. Monitor competitor citations weekly
Your competitors are getting cited where you're not. Citora's competitor comparison shows exactly which prompts they win — and which sources make them win. Use this intelligence to close the gap.
3. Create source-specific content
If Reddit is your missing source, host an AMA. If G2 reviews are thin, launch a review campaign. If comparison listicles don't mention you, reach out to publishers with unique data. Match your content strategy to your citation gaps.
4. Update existing content to regain citations
AI engines favor fresh content. Update your top blog posts quarterly. Refresh statistics. Add new sections. Citora flags content refresh opportunities where you lost citations after a competitor published something newer.
5. Build structured data and knowledge graph presence
Implement Organization schema, Product schema, and FAQ schema on your site. Ensure your Wikidata item is accurate. Knowledge graph presence dramatically increases the likelihood of AI engines treating your brand as a verified entity.
GEO vs SEO: The New Rules of B2B Discovery
| Dimension | SEO | GEO |
|---|---|---|
| Primary goal | Rank on Google SERP | Be cited by AI engines |
| Optimization target | Crawlability, keywords, backlinks | Training data presence, RAG retrieval, citation density |
| Success metric | Keyword ranking position | Citation rate, share of voice, GEO Score |
| Key sources | Your website + backlinks | Reddit, G2, listicles, Wikipedia, news, your blog |
| Content type | Keyword-optimized pages | Comparison content, reviews, research, community presence |
| Update frequency | Monthly/quarterly | Weekly (AI models and sources evolve fast) |
The critical insight: you need both. SEO ensures you exist on the web. GEO ensures AI engines find you credible enough to recommend. A strong SEO foundation makes your content more likely to be retrieved by AI engines — the two disciplines reinforce each other.
Ready to track your GEO score?
Run 10 prompts across ChatGPT, Claude, Gemini, and Perplexity and get your first GEO visibility snapshot — free, no signup required.
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