The work of making website content easier for generative AI search engines to understand and consider as a trustworthy source. Explore its practical uses.
AI Search Optimization overlaps substantially with GEO and AEO. It combines technical measures that facilitate crawling and parsing, such as llms.txt and clear Structured Data, with content practices that support trust, including factual writing and explicit source attribution. Whereas traditional SEO often focuses on search engine crawlers, AI search adds the complexity of managing access policies for multiple crawlers, such as GPTBot, ClaudeBot and PerplexityBot. Accidental blocking in robots.txt can restrict access and potential visibility, making regular policy checks important.
A strategy for optimizing content so that brands and their content can be cited in the single answers generated by AI search systems or voice assistants.
Search that uses large language models to understand context and synthesize web results into natural-language answers rather than relying solely on keyword matching.
Some websites are seeing sharp increases in site: operator queries in Search Console performance reports. Explore possible causes, measurement effects and diagnostic responses.
