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.
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Stories tagged Ai search
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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.
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.
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.
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.
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.
Product Schema for AI Search: How to Make Price, Stock, and Specs Unambiguous to Shopping Agents
How to structure Product and Offer schema.org markup so AI shopping agents and Google read price, stock, and specs without guessing.
llms.txt Governance: Why a File Drop Isn't a Strategy
llms.txt isn't a one-time SEO file. Here's how to govern it on an ongoing basis — and what the adoption data actually shows in 2026.
Building an Agency AEO Delivery System That Doesn't Collapse Under Scope
A repeatable framework for agencies selling AEO/GEO: client discovery, evidence mapping, technical QA, reporting cadence, scope controls, and honest limitation-setting.
AI Overview Content Decay: How Citations Quietly Disappear — and How to Catch It Early
Pages keep ranking but quietly stop getting cited in AI Overviews. Here's why citations decay, the data behind it, and how to catch it before traffic falls.
Building AI-Search Topic Authority: Evidence Over Volume
Why AI answer engines reward interlinked, expert-reviewed topic clusters over high-volume content mills — and how to build genuine topical authority instead.
Author Pages for AI Search: Bios That Prove Expertise Instead of Claiming It
How to build author pages AI systems and readers can independently verify — grounded in Google's E-E-A-T guidance and schema.org Person markup.
