#AI retrieval
Cite Solutions briefs tagged AI retrieval. Newest first.
How to Run a Canonical and Query-Parameter Audit That Keeps AI Systems on the Right URL
A lot of GEO teams fix prompts, proof blocks, and crawlability while messy URL variants still compete for the same answer. This guide shows how to run the canonical and parameter audit that clears that retrieval waste out.
Is ChatGPT-User Allowed in Your Robots.txt?
ChatGPT fetches pages with ChatGPT-User, not OAI-SearchBot. If your robots.txt blocks the wrong one, ChatGPT will not cite you. Here is the fix.
How to Run an AI Crawler Log Audit for GPTBot, ClaudeBot, and PerplexityBot
Most GEO teams rely on crawl tests, screenshots, and prompt checks. Fewer inspect the server logs that prove whether AI crawlers are actually reaching the money pages that matter. This guide shows you how to run that audit.
How to Build a GEO Prompt Regression Pack for Staging, Release Day, and 7-Day QA
Most GEO teams have a release checklist. Fewer have a compact prompt regression pack that proves the right page still wins the right answer before launch and during the first recovery week. This guide shows you how to build one.
How to Run an HTML Parity Audit for AI Retrieval on JavaScript-Heavy Sites
A page can look perfect in the browser and still fail AI retrieval if the answer, proof, links, or schema only show up after hydration. This guide shows you how to run the HTML parity audit that catches the gap.
How to Protect AI Retrieval During a Site Migration: Redirects, Canonicals, and Prompt QA
Most site migration checklists stop at rankings and broken links. This guide shows you how to preserve AI retrieval during a migration by protecting page purpose, redirect logic, canonical control, proof assets, and post-launch prompt QA.
How to Run an AEO Schema Audit That Aligns Entities, Answers, and Proof
Most schema work still stops at validation. This guide shows you how to audit schema for answer-engine performance by checking entity clarity, visible-answer parity, proof support, and page-type markup across the pages that drive AI visibility.
How to Run a GEO Crawlability Audit That Improves AI Retrieval
A lot of teams keep publishing answer-engine content on top of weak technical foundations. This guide shows you how to audit crawlability, canonicals, internal links, sitemaps, and structured context so the right pages can actually be retrieved and reused by AI systems.
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