Tagged
AI recommendations, retrieval, entity consistency and citation visibility
llms.txt emerged in 2024 as a proposal to provide AI agents with concise website information and links to more detailed material. The current proposal is described in the llms.txt v2 documentation as a way to provide agents with concise, linked website information, potentially at the site root or at a path that covers pages beneath it.
Professional services websites need to connect service claims with the people, credentials and work that support those claims. Entity SEO provides a useful framework for organising those relationships. Start with visible evidence and clear ownership, then implement matching structured data. Measure search discovery separately from qualified enquiries and commercial results.
Brand entity consistency means presenting a coherent set of factual identity signals across owned, earned, and third-party channels. The goal is not to make every page read identically. The goal is to ensure that every credible representation points to the same organisation and accurately explains its relationship to associated people, locations, services, and brands.
Artificial intelligence can produce brand assets without earning the authority to speak for your business. Professional services leaders need explicit decisions about confidential inputs, approved claims, creative changes and release. This guide separates production permission from commercial authorisation, with a practical framework for assigning owners before AI-assisted work reaches clients.
Most SEO advice is outdated. This guide cuts through the noise, providing entrepreneurs with a direct, technical, and strategic framework for search engine optimisation that actually moves the needle on ROI and digital visibility in 2026.