5 Steps to Kill the PDF Trap: An AI-Readability Audit
A five-step audit for finding PDFs that AI cannot read, optimizing the ones you must keep, and moving key higher ed content to structured HTML.
Insights
6 posts on LLM Governance.
A five-step audit for finding PDFs that AI cannot read, optimizing the ones you must keep, and moving key higher ed content to structured HTML.
Control which AI crawlers can use your site: a tiered robots.txt model for training bots versus citing bots, plus page-level meta tag controls.
What WebMCP is, how it lets browser agents complete tasks on your site, and why agencies should map services to machine-executable tools.
Why a polished rebrand fails if AI agents cannot verify who you are, and how entity-based SEO and structured data make your organization readable.
Why large sites go unseen by AI agents and what an AI discovery audit checks: schema gaps, fragmented information and crawler friction.
A technical checklist for getting cited by LLMs: allow AI crawlers, keep pages fast, use JSON-LD schema, and structure headings as logic.
Tell us what you’re seeing. We’ll tell you plainly whether it’s something we can fix.