Writing and research
Published research on AI recommendations, information retrieval, entity SEO, Google's ranking infrastructure, and the mechanics behind search.
Publication archive
8 verified articlesBrand mentions are becoming a first-class measure for AI visibility, but they do not replace the documented discovery, relevance, and link-analysis functions of backlinks in Google Search.
Read at Search InstituteClaude's watermark matters for provenance, disclosure, and editorial workflow, but no reviewed public Google Search document identifies it or SynthID text detection as an organic ranking signal.
Read at Search InstituteSearch everywhere optimization maps audience questions to the search, AI, social, video, community, marketplace, and local surfaces people actually use, while keeping each surface's rules and metrics distinct.
Read at Search InstituteThe 58 percent estimate is valid inside Ahrefs’ selected model but is not a universal traffic law: it compares observed position-one desktop CTR with a control-based counterfactual rather than a raw before-and-after decline.
Read at Search InstituteControlled and observational evidence suggests familiar brands receive a real but conditional advantage that better product evidence, retrieval, context, and wording can overturn.
Read at Search InstituteRank remains a useful diagnostic for classic visibility, but a complete AI-search scorecard must separately measure generative exposure, mentions, citations, referral behavior, and business outcomes.
Read at Search InstituteA primary-source analysis of more than 14,000 attributes exposed in Google's Content Warehouse documentation, including PageRank variants, NavBoost, embeddings, site focus, authority, clicks, and demotions.
Read at Search Engine LandA research-led guide to entities, semantic search, knowledge graphs, entity linking, structured data, and using entity relationships to organize web content.
Read at Search Engine LandIndependent use
These are not testimonials. They are documented examples of the Google documentation leak analysis being cited or used by other writers.
Read the original analysisA Journal of Antitrust Enforcement paper formally cites Andrew's analysis in footnote 87 while discussing leaked Google documentation and Chrome click data.
Open Oxford sourceIndependent editorial use
HubSpot
Links the analysis as supporting evidence while explaining changes to HubSpot's editorial and search strategy.
Open sourceIndependent editorial use
The Conversation
Uses Andrew's article as the source for its discussion of the Google documentation leak.
Open sourceMajor news citation
NRC
The Dutch newspaper's reporting links directly to Andrew's analysis.
Open sourceNamed expert citation
SparkToro
Rand Fishkin explicitly names Andrew and credits a finding Andrew called out in his Search Engine Land analysis.
Open sourceIndustry editorial use
Surfer
Uses the analysis to support its discussion of siteFocusScore, siteRadius, and embeddings.
Open sourceNamed industry citation
Serpstat
Names Andrew and relies on his explanation of how the leaked API documentation became public.
Open sourceIndustry editorial use
Exploding Topics
Links Andrew's analysis in its current guide to keyword-ranking factors.
Open sourceIndependent editorial use
Informa TechTarget
Links Andrew's article as evidence in an analysis of what the leak means for content marketers.
Open sourceFurther verified use
Authorship boundary
Public work is listed only when Andrew is named in the byline or co-author credit, or when separate evidence and approval support disclosure. Employer-bylined, pseudonymous, and ghostwritten work is not retroactively claimed by default.