AI-Assisted Conversions: Measure Honestly
GA4's AI Assistants channel misses Perplexity and dark traffic. Triangulate referrer counts, server logs, and self-reported attribution for a defensible case.
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Stories tagged GEO
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About Entity Home: A Technical Blueprint
Discover how an entity home page with sourced facts can boost AI visibility by 40%. Includes a step-by-step blueprint and research from KDD 2024.
AI Search Client-Side Rendering: What Works
AI crawlers like GPTBot don't execute JS. Learn from Vercel's analysis of 569M requests why client-side rendering leaves your content invisible.
AEO Agency RFP: Questions That Reveal Real Capability
A practical RFP template for vetting AEO/GEO agencies — methodology, evidence standards, measurement, technical scope, and how honestly they discuss limits.
Hreflang QA for AI Search: Audit International SEO Properly
Google still forgives sloppy hreflang if the underlying content is sound — AI search engines don't extend the same grace. Here's how to audit hreflang properly, and why "it validates" is no longer good enough.
sameAs Link Audit to Anchor Brand Entity for AI Search
sameAs doesn't rank pages — it tells Google and AI systems which Wikipedia page, Wikidata item, and social profiles all describe the same entity. Here's how to audit it correctly, and what it can't do for you.
Citation Link Rot Audit to Fix Dead Links for AI Citability
Link rot doesn't just annoy human readers — it removes the retrievable evidence AI search engines need to verify and cite your content. Here's a research-backed process for auditing and fixing dead citations in evergreen pages.
Structure HTML Data Tables for AI Citation-Ready Evidence
A table that looks fine in a browser can still be invisible to an AI answer engine if it isn't built with real semantic markup. Here's what the research on table parsing, accessibility, and generative-engine optimization actually supports — and what it doesn't.
B2B Evidence Page Template for Verifiable Claims
A repeatable claim-evidence-source-date template that makes B2B product and outcome claims verifiable — and citable — by AI answer engines.
Answer Engine Content QA Checklist for Accurate Claims
A precise, sourced pre-publish checklist for verifying claims, quotes, and citations before AI answer engines copy and amplify an error.
Why Thought Leadership Is Invisible to AI Search
AI answer engines don't cite hot takes. Here's how B2B teams can separate opinion from fact, cite real sources, and get referenced by ChatGPT, Perplexity, and AI Overviews.
AI Crawler Response Codes Guide for Technical QA
A precise, source-backed guide to reading 200, 301/302, 403, 404, 429, and 5xx responses through the lens of GPTBot, ClaudeBot, and PerplexityBot — plus the QA process to catch AI-crawler access failures before they cost you visibility.
AI Citation Research Method to Avoid Sampling Bias
A rigorous method for building AI search visibility prompt sets that avoids sampling bias, personalization skew, and vanity queries that flatter your brand.
FAQ Schema for Answer Engines: What It Still Does in 2026
Google restricted FAQ rich results to gov/health sites in 2023, then killed them entirely in 2026. Here's what FAQPage schema still does for AI search.
Content Freshness and Schema to Signal Trust Without Gaming
Visible dates, dateModified schema, and actual content changes are three separate signals that both Google and AI answer engines check independently — and faking any one of them is a well-documented pattern Google has publicly pushed back on.
AI Search Source Gap Analysis to Find Missing Evidence
A method for finding which evidence types AI answer engines actually cite on your topics — and which ones your best pages are missing.
AI Search Content Brief from Question to Evidence Plan
A content-brief format built for answer engines: start from real user questions, then map every claim to its evidence before writing begins.
Copilot Search Visibility: What B2B Teams Can Measure Now
Microsoft Copilot leans on Bing's index, not an independent crawl. Here is what B2B teams can now actually measure, track, and what still cannot be proven.
AI Crawler Blocks: Diagnose Why Bots Can’t Reach Your Site
A precise, source-backed framework for telling apart robots.txt disallows, WAF/firewall rules, rate limiting, and CDN bot-management blocks — with the exact crawler identities, IP verification methods, and diagnostic steps to confirm which one is stopping GPTBot, ClaudeBot, or PerplexityBot from reaching your pages.
Multimodal Content for AI Search: Images, Video, and Audio
How to prepare images, video, and audio so AI search systems can actually use them as evidence — verified schema.org guidance, no invented stats.
The Copy-Paste Test: Editing for AI Extraction
A practical editing heuristic for GEO: if a paragraph can't stand alone when pasted elsewhere, AI answer engines can't extract or cite it cleanly.
How B2B Brands Earn the Citations AI Engines Actually Trust
AI answer engines mostly quote what others say about you, not your own site. Here's how B2B teams earn real third-party mentions — and keep the facts straight.
How to Structure Tables So AI Search Engines Can Actually Read Them
Product specs, pricing, and comparison tables are often invisible to AI crawlers. Here's the markup that lets them parse and cite your data correctly.
Structured Data for AI Search: What Schema Markup Actually Does (and Doesn't)
Google says schema isn't a ranking or AI-citation lever. Here's the real evidence on what structured data does — and doesn't — do for AI search visibility.
