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.
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#answer engine optimization
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Stories tagged Answer engine optimization
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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.
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.
Claude Search Visibility: What Brand Teams Should Actually Measure
Claude cites sources through a distinct three-crawler, encrypted-citation pipeline. Here's what to track and how it differs from ChatGPT and Google.
Answer Engine Content Governance: Assigning Ownership So Cited Claims Don't Go Stale
AI answer engines cite pages indefinitely, long after publish day. Without a named owner and a review cadence, factual claims quietly rot.
PLG Docs and AI Citations: Structuring Content Without Selling
How product-led SaaS teams should structure docs, use-case pages, and feature content so AI engines cite them accurately — without reading as a pitch.
How to Vet an AEO Agency: 5 Red Flags Before You Sign
A buyer's guide to spotting AEO/GEO agency red flags — guaranteed citations, opaque methods, fabricated benchmarks, weak reporting, and scope that hides dependencies.
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.
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.
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.
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.
ChatGPT Search: What Website Teams Can Actually Control
A grounded breakdown of the real, controllable levers for ChatGPT Search visibility — crawl access, structure, citations, freshness — versus unverified ranking-factor claims.
Mapping Source Overlap Across ChatGPT, Gemini, and Perplexity
A step-by-step method for comparing cited sources across AI search engines, spotting recurring competitor wins, and prioritizing the content fixes that actually move visibility.
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.