How to measure visibility in AI
Impressions, citations, visits and enquiries are not the same thing. Here is what to measure and how to read the data without inventing certainty.
Guides
Practical insights into cost, technical SEO, AI visibility, accessibility, security and performance: methods, criteria and examples from someone who designs and builds custom websites.
Impressions, citations, visits and enquiries are not the same thing. Here is what to measure and how to read the data without inventing certainty.
AI, social media, Google and platforms can help people discover you. A website turns that discovery into verification, trust and action.
Discovery, crawling, indexing and ranking: how to read Search Console and diagnose the right problem.
Validation, anti-spam, accessibility, SPF, DKIM and DMARC: protect the form and verify email delivery.
Domain, hosting, code, accounts, licences and data: verify control, access and portability.
Checks, backups, security, content, responsibilities and costs: what a website needs after launch.
Traffic, message, trust, usability and technology: diagnose what is failing and when to redesign the homepage.
Themes, plugins, updates and vendors: who actually controls the website when something breaks.
URLs, 301 redirects, content, Search Console and checks: how to reduce risk during a redesign or migration.
Google, ChatGPT, training, noindex, WAFs and configurations: what each control actually does and which myths to avoid.
Availability, OAI-AdsBot, performance, privacy and conversions: prepare the destination before buying traffic.
Over thirty years of web development: tables, Flash, PHP, CMSs, builders and AI. What changed—and why control and method still matter.
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