AI Visibility for Professional Services and Consultancies
How consultancies, law firms and advisory boutiques earn citations in AI answers – through expertise signals, partner bios and buyer-side RFP content.
AI Visibility for Healthcare: Accuracy, Trust and YMYL Constraints
How healthcare organisations earn AI citations under YMYL constraints: clinical authorship, guideline alignment, review dates and the information-versus-advice boundary.
We Exposed Our Tool to AI Agents With WebMCP: An Implementation Report
A practitioner’s report on implementing WebMCP: the API detail most write-ups get wrong, what Chrome’s docs leave unspecified, and the cost problem nobody is discussing.
AI Visibility for E-commerce: Product Discovery Inside AI Assistants
How constrained shopping queries pick products inside AI assistants, and why complete product attributes, feed consistency and honest buying guides decide inclusion.
AI Visibility for Local Businesses: Winning ‘Near Me’ in the Answer Era
Why ‘near me’ answers now compress to two or three named businesses, and how NAP consistency, map profiles, review text and operational facts decide who gets named.
AI Visibility for Law Firms: Getting Cited Without Breaching Compliance
How law firms can earn AI citations while respecting advertising rules, jurisdiction limits, confidentiality and the line between legal information and advice.
AI Visibility for B2B SaaS: The Queries That Decide Your Pipeline
The category, integration, fit and comparison queries that form SaaS shortlists inside AI assistants, and the content structures that get you named accurately.
AI Visibility for Small Teams: The Minimum Viable Programme
The smallest AI visibility programme that actually works for a team of five: a question list, a baseline, a dozen pages, an entity layer and a monthly check.
Content Refresh for AI Citation: Which Pages to Fix First
A triage framework for deciding which existing pages to refresh first so they get cited by AI assistants, and how to fix them without a full rewrite.
How Often Should You Re-Test AI Visibility? Setting a Monitoring Cadence
A layered monitoring cadence for AI visibility: monthly core testing, fortnightly commercial checks, quarterly deep sweeps, plus the event triggers that override all three.
