Insights & Resources
Expert insights on AI search visibility, organic traffic growth, AI citations, brand visibility, and the future of AI-powered discovery.
The citation absorption experiment: proving whether your evidence influences AI answers
Learn how to run a controlled citation absorption experiment to measure whether your content evidence changes AI-generated answers, not just citation counts.
Why AI citations depend on answerable passages, not content chunks
Learn why AI citations depend on answerable passages, not content chunks, and how to improve AI search optimization with precise, verifiable answers.
The AI visibility reporting data dictionary every agency needs
Build consistent AI visibility reporting with a practical data dictionary for prompts, citations, sentiment, competitors, evidence, and client reviews.
What a backlink check reveals about the sources supporting your brand claims
Learn how to turn a backlink check into an evidence review that assesses source context, claim accuracy, independent corroboration, and AI search visibility.
How to check website traffic before rewriting your AI search strategy
Learn how to investigate sudden website traffic changes, validate tracking, analyse channels and search data, and assess AI-discovery signals before changing strategy.
How to reconcile AI visibility, organic traffic and SEO data before a quarterly review
Learn how to reconcile AI visibility, organic traffic and SEO data for a credible quarterly leadership review with aligned metrics, dates and evidence.
Search Engine Positioning: 5 Guardrails for AI-Assisted Copy
Use five practical guardrails to improve AI-assisted copy while preserving search intent, evidence, credibility, and conversion relevance.
How to turn one buyer question into a decision-stage content map
Learn how to turn one buyer question into a decision-stage content map with the right assets, evidence standards, and review process for B2B SEO.
A schema markup change-control process to keep marketing facts consistent
Learn how to build a schema change-control process that keeps structured data accurate, validated, owned, and aligned with marketing-site content.