
Sign up to save your podcasts
Or


This guide details how businesses can improve their visibility within AI search agents like ChatGPT, which often recommend competitors despite a company having strong traditional search rankings. The text identifies four primary data inputs used by large language models, including historical training data and real-time web retrieval. To capture these recommendations, the authors propose seven actionable strategies such as refining website copy for clarity and implementing specific machine-readable structured data. Additionally, the source stresses the importance of establishing a presence on high-authority third-party platforms and ensuring technical accessibility for AI crawlers. By shifting from vague marketing language to explicit factual statements, companies can better align with how AI processes information. Ultimately, the material serves as a roadmap for Generative Engine Optimisation, offering a blend of immediate technical fixes and long-term authority building.
By AgenticLensThis guide details how businesses can improve their visibility within AI search agents like ChatGPT, which often recommend competitors despite a company having strong traditional search rankings. The text identifies four primary data inputs used by large language models, including historical training data and real-time web retrieval. To capture these recommendations, the authors propose seven actionable strategies such as refining website copy for clarity and implementing specific machine-readable structured data. Additionally, the source stresses the importance of establishing a presence on high-authority third-party platforms and ensuring technical accessibility for AI crawlers. By shifting from vague marketing language to explicit factual statements, companies can better align with how AI processes information. Ultimately, the material serves as a roadmap for Generative Engine Optimisation, offering a blend of immediate technical fixes and long-term authority building.