What Google, OpenAI, and the rest of agent search just changed — and what to do about it.
Google just made two moves that reshape how we think about agent-readiness and content distribution. The site reputation policy got stricter https://developers.google.com/search/blog/2026/08/update-si...
When Google updated its site reputation policy https://developers.google.com/search/blog/2026/08/update-site-reputation-policy last month, the language was clinical: "stop a practice where third-party...
We rebuilt our scoring engine around a BusinessContextProfile that detects your business, platform, maturity, and audience.
Traditional SEO tools like Ahrefs and SEMrush were built for Google. AI visibility requires different capabilities.
Step-by-step guide to monitoring when ChatGPT, Claude, and Perplexity mention your business.
AI visibility monitoring tracks how your business appears and is recommended by AI systems.
MSP-1 metadata at /.well-known/msp.json declares your identity, intent, and trust signals.
AI models use structured files, factual density, and trust signals — not PageRank — to decide who to cite.
The definitive reference to 11 AI discovery files that make your website discoverable by AI agents.
AI coding agents like Cursor, Claude Code, and Replit can implement SEO fixes in minutes instead of weeks.
Two new discovery files, a premium AI Citation Check, 7-category scoring, and more.
While you focus on Google rankings, your competitors are making themselves discoverable to AI agents.
AGENTS.md is a Markdown file that gives AI agents detailed instructions for representing your business.
From structured data to factual density, the new playbook for AI models, agents, and search.
Autonomous agents discover, evaluate, and recommend services — here is what that means for your business.
llms.txt is a standard that tells AI models about your business. Learn what it is and how it works.