Statistics vs. Quotes vs. Definitions: What AI Actually Cites
Not every factual claim survives being lifted into an AI answer. Here's what research shows about how statistics, quotes, definitions, and comparisons get extracted — and cited.
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GEO & AEO
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How ChatGPT's Conversation Memory Reshapes What Gets Cited
ChatGPT rarely re-searches mid-conversation — the opening question sets citations for the whole thread. Here's what that means for B2B content.
Entity Resolution for GEO: Wikidata, Wikipedia, and sameAs
How Wikidata entries and schema.org sameAs chains let any AI system — not just Google — resolve your brand as a single, unambiguous entity.
Perplexity's Retrieval Pipeline: A Single-Engine GEO Deep Dive
How Perplexity actually retrieves the live web, how PerplexityBot and Perplexity-User differ, and what's documented (and disputed) about its citations.
AI Search Visibility: The Real Business Case, No Hype
B2B buyers now shortlist vendors using AI tools before sales ever gets a call. The honest, source-cited case for paying attention — and what's overhyped.
AEO Myths vs. Facts: What the Research Actually Shows
A myth-busting guide to AEO's most-repeated claims — what Google, Ahrefs, and Bing have actually confirmed, and how to vet visibility stats yourself.
How Claude Crawls and Cites the Web: Technical Breakdown
A technical breakdown of ClaudeBot, Claude-User, and Claude-SearchBot, how robots.txt controls each one, and what's actually verified about how Claude finds and cites content.
Schema Markup and AI Citations: What the Evidence Shows
A data-backed look at schema.org markup and AI search: what's proven, what's marketing, and when structured data is still worth your engineering time.
The GEO Checklist: What's Actually Verified to Work
A sourced, no-fluff GEO checklist — crawlability, entities, citations, structure, freshness, measurement — with a real link behind every claim.
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.
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.
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.
Standing Up an AI Visibility Measurement Program That Lasts
A program-design playbook for AI-visibility measurement: choosing engines, governing prompt sets, setting honest baselines, cadence, and ownership.
AI Search Share of Voice: The Math That Actually Holds Up
Share of voice in AI search means citation events won divided by total evaluations across a documented prompt panel — tracked per engine, never blended into one score.
The AI Citation Audit Template: A Repeatable Method for Tracking What ChatGPT, Perplexity, and AI Overviews Actually Cite
A step-by-step audit template for tracking which pages, mentions, and sources get cited across AI answer engines — and rerunning it.
How to Out-Cite Competitors in AI Answers, Prompt by Prompt
A step-by-step method for running identical prompts against your brand and named rivals, then tracing which content patterns actually win each citation.
From AI Mentions to Pipeline: A Defensible Reporting Model
AI citation counts don't prove revenue impact. Here's a three-layer reporting model that connects mention tracking to brand search, demo attribution, and sales-reported pipeline.
How to Prove AI Engines Actually Cite You, Not Luck
AI answer engines personalize per user and vary run to run — here's a testing protocol that separates real citation from statistical noise or a lucky guess.
The AI Search Entity Audit: How to Verify AI Answer Engines Actually Know Who You Are
A step-by-step method for checking whether ChatGPT, Perplexity, and Google know your brand as its own entity — not a competitor or generic term.
HTML Architecture for Citation-Ready Evidence Pages
A structural teardown of how to build evidence pages AI engines can quote: one claim per block, inline sourcing, and verifiable timestamps.
A Change-Detection Workflow for Stale Claims, Sources, and Facts
A step-by-step system for detecting stale claims, dead or retracted sources, and shifting competitor facts — and prioritizing refreshes when content-ops time is scarce.
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.
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.
ChatGPT Brand Mentions: A Repeatable Audit Method for B2B
A step-by-step method for auditing ChatGPT brand mentions — build a prompt panel, log response patterns, find evidence gaps, and stop treating one run as a ranking.
