AI Overviews and AI answers: what actually gets cited
Google says AI Overviews need no special optimization. What Google, Microsoft and GEO research say earns citations in AI answers, and what to skip.
Resources
Resources for teams that publish
Practical, sourced guides on ranking in search and AI answers, checking AI drafts, planning a calendar and running content with a small team.
Connect AI agents to your content workflow with MCP
MCP lets ChatGPT, Claude, Grok and Cursor plan and draft content in your tools. How it works, what agents should do, and why a person still approves.
How to fact-check AI-written articles, claim by claim
Fact-checking an AI draft works best claim by claim: gather evidence first, list every checkable claim, verify each against a source, then fix or cut it.
A content approval workflow for small teams
A content approval workflow for a small team needs three roles, one review queue, a pre-approval checklist and strict limits on auto-approval.
Editorial mix: how to plan a balanced content calendar
An editorial mix sets target shares and spacing for formats, pillars and subjects, so a calendar rotates. Rules and examples for six kinds of site.
Internal linking rules to apply to every article
Use 3 to 8 internal links per 1,000 words, anchors of 2 to 8 words, no repeated anchors, a link to the pillar page and none to orphans. Here's why.
Is llms.txt worth it? What it does and who reads it
Google Search ignores llms.txt, so it won't lift rankings. It is cheap to add and useful for AI agents and developer docs. Here is when to bother.
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