How AI SEO Works
AI SEO encompasses two distinct but related optimization disciplines. The first is optimizing for Google AI Overviews (formerly Search Generative Experience), the AI-generated summaries that appear at the top of Google SERPs for many queries. Appearing in AI Overviews requires the same foundational signals as traditional ranking (authority, relevance, E-E-A-T) plus specific content formatting: direct answers to questions in the first 1-2 sentences, clear source citations, structured data, and comprehensive coverage of the topic. The second discipline is optimizing for third-party AI search systems, ChatGPT, Perplexity, Claude, and Bing Copilot, which pull from different data sources and use different citation criteria than Google.
Why AI SEO Matters for B2B Marketing
Google AI Overviews optimization differs from snippet optimization in important ways. AI Overviews synthesize information from multiple sources rather than extracting a single answer block. To be cited in an AI Overview, your page must rank in the top 10-20 for the query (most AI Overview citations come from top-ranking pages) and must answer the specific facet of the query that the AI needs to address. Structured content formatting significantly improves citation probability: Q&A formatted sections, definition boxes, numbered processes, and explicitly labeled key takeaways all make content machine-parseable for AI synthesis. FAQPage and HowTo schema markup communicates this structure to AI systems programmatically.
AI SEO: Best Practices & Strategic Application
Third-party AI search systems (ChatGPT with Browse, Perplexity, Claude) use different data sources than Google, primarily Common Crawl, Wikipedia, and direct API integrations. Perplexity AI Overviews most commonly cite sources that: appear in Common Crawl (crawlable, non-gated content), have high third-party citation profiles (backlinks from authoritative publications), use clean URL structures, and load quickly without JavaScript-dependent content. Maintaining an llms.txt file at your domain root, an emerging standard for providing AI systems with structured information about your site's authority and content, can improve how AI systems represent your brand in responses.
Agency Perspective: AI SEO in Practice
GEO (Generative Engine Optimization) is the emerging discipline that formalizes AI search optimization. GEO tactics extend beyond traditional SEO: ensuring brand entity presence in Wikipedia and Wikidata, building citations in AI training data sources (academic publications, news articles, authoritative industry directories), structuring content to answer the "Why" and "How" questions AI systems prioritize, and monitoring AI search mention volume and accuracy through brand tracking tools. The most important GEO principle is that AI systems are trained to cite authoritative, widely-corroborated sources, the same factors that build organic search authority (consistent quality, authoritative backlinks, clear E-E-A-T signals) also drive AI citation frequency.
