How to measure AI visibility: track AI citations, share of AI voice, and AI referral traffic — and connect whether AI recommends your company to pipeline.
A practical AI readiness framework for B2B marketing teams: five dimensions — strategy, workflows, skills, data, governance — plus a quick self-assessment.
Why AI cites some B2B companies and ignores others — how E-E-A-T, earned media, named authors, and consistent brand facts build authority AI trusts.
How to structure B2B content for AI citations: answer-first sections, question-led headings, cited data, and FAQ schema that AI search can extract.
AI search reasons about entities, not keywords. How B2B companies use schema markup, consistent positioning, and sameAs links to become legible to AI search.
AI search vs. traditional SEO for B2B: what carries over (technical health, authority), what’s new (extraction, entity clarity), and where budget should go.
How AI assistants like ChatGPT choose which B2B vendors to recommend — the citation, corroboration, and entity-consistency signals that decide who gets cited.
How B2B companies get found and cited by ChatGPT, Perplexity, and Gemini — four pillars of AI search readiness, from crawl access and schema to authority.