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A 2026 study of 602 prompts and 21,143 citations found that citation count and answer influence move in opposite directions. Here is what the data actually says and how to build pages that shape AI answers.
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Score what ChatGPT, Perplexity, and the other engines say about your category without sending any of it to a third party. Here is the offline GEO scoring workflow, the presence taxonomy, and how to set a threshold on a model whose confidence runs high.
A repeatable workflow for finding a topic while it is still days old, publishing across four formats, and verifying whether an AI answer actually cites you. Includes the verification step most guides skip.
A ghost citation is an answer where the model was given your context and still did not name you. Here is how to score AI answers into named, mentioned, and absent, track displacement across runs, and report instability instead of averaging it away.
Reddit is one of the most cited sources in AI answers, and one of the hardest to monitor at scale. Here is a workflow that uses Jev to decide which threads matter, which are already saturated, and which are worth engaging.
Scoring tells you which pages are not being cited. This workflow tells you what to change. A keep-or-change decision layer across title, meta, H1, FAQ, and schema, with a rewrite checklist and a confidence gate that keeps the risky edits human.
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.
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.
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.
An arXiv causal audit called CiteChoice replayed real GPT-5.4 search transcripts and found structured text redistributes citation credit between matched sources, while the famous first-versus-fifth rank gap mostly collapses under controlled swapping.
A 3,850-prompt study found directories supply 41% of AI citations on supplier-selection prompts. Here is a verified free submission list, and how to prioritize it.
A viral post claims schema markup has zero effect on AI citations, based on a study that never tested schema at all. Here is the real study's 4-factor priority order, how to audit your page against it, and what to fix first.
