MaxAEO Blog
Insights on AI Search Visibility, GEO, and how brands get cited by ChatGPT, Perplexity, and Google AI Overviews.
How Accurate Are AI Visibility Tools? A 120-Run Audit
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How accurate are AI visibility tools? Use this 120-run buyer audit to test answer capture, failures, brand matching, citations, repeatability, and score math.
AI Brand Mention Tracking Accuracy: A Test Protocol
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Measure AI brand mention tracking accuracy with a three-gate alias protocol, 60-snippet benchmark, precision and recall formulas, and QA thresholds.
AI Recommendation Rank Tracking: Evidence-First Guide
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Learn how to track AI recommendation rankings in prose, tables, ties, and caveated answers with an auditable framework, data schema, and QA process.
How to Count AI Citations Accurately
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Learn how to count AI citations accurately with response-level deduplication, URL normalization, redirect resolution, content identity, and honest denominators.
AI Visibility Monitoring Missing Data: Diagnose and Fix Gaps
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AI visibility monitoring missing data can distort brand metrics. Learn how to classify failures, choose denominators, retry safely, and audit coverage.
Internal Linking for AI Search: A Claim-to-Proof Framework
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Build internal linking for AI search with claim-to-proof mapping, evidence scoring, anchor rules, technical checks, and a measurable audit workflow.
AEO Topic Clusters: A Practical Framework for AI Search
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Learn how to build AEO topic clusters from buyer prompts, distinct intent, and verifiable proof using maxaeo’s practical P3 framework.
Orphan Pages in AI Search: How to Find and Fix Hidden Evidence
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Run an orphan pages AI search audit: find hidden evidence URLs, prioritize citation opportunities, repair internal paths, and measure recovery.
Can AI Crawlers Render JavaScript? A 16-Check Test
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Can AI crawlers render JavaScript? Use a 16-cell test to compare raw HTML, browser output, resource requests, verified bot logs, and retrieval.
SSR vs CSR for AI Crawlers: Which Rendering Model Is Better?
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Compare SSR vs CSR for AI crawlers by evidence retrieval, JavaScript dependency, failure recovery, performance, and deployment cost.