A scored prompt log that turns raw AI answers into a fix-first worklist. Capture answers first, let Jev judge mention, competitor, citation, and framing, then map every low score to a page-level action.
AI citations are a brand-memory signal, not a traffic channel. Here are the three signals to track instead of referral clicks — plus a GEO scorecard you can run this week.
Six repeatable Jev jobs that turn a flat URL inventory into a routed content plan: intent tagging, mismatch detection, originality scoring, keep/update/merge/remove disposition, schema checks, and redirect matching.
A runnable pipeline that turns a crawl export into a reviewed internal-link and merge worklist. Two-stage candidate selection, exact Jev question schemas, confidence routing, and the checks that keep you from shipping bad links at scale.
Jev is not a better writer. It is a cheap, fast judge that turns repeated SEO and GEO decisions into typed answers with confidence scores. Here is what it does, how to wire it into Codex, Claude Code, Hermes, OpenClaw, and Pi, and where it will quietly mislead you.
A citation map tells you which pages an AI engine actually pulled from, rather than just whether your brand got mentioned. Here is the full method, plus a runnable setup for Codex, Claude Code, ChatGPT, and Hermes Agent.
A runnable workflow for planning an international publisher site with Codex, Claude Code, ChatGPT, and Hermes Agent: pick the right URL architecture, run a country and language audit, and verify the result before you build anything.
Agentic SEO means handing a defined workflow to an agent that pulls its own data and follows a written method. Here is the four-layer setup, the agents that fit each job, and the guardrails that keep it from going wrong.
In a 2026 survey of 130+ search experts, brand and entity memory outranked llms.txt, chunking, and schema as the strongest driver of AI citations. Here is what that means for your GEO plan.
A runnable Codex playbook for October 2026: 15 traffic jobs you can hand to an agent, the exact prompt for each, what to check before you trust the output, and where the automation stops.