About Entity Home: A Technical Blueprint
About entity home pages: what they are, how they differ from landing pages and blog posts, and a step-by-step blueprint to build one for AI visibility.
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34 published storiesCanonical archive
Stories tagged Structured data
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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.
A Structured Data Validation Workflow Content Teams Can Actually Run
Schema markup breaks silently — a renamed field, a missing required property, a template change — and nobody notices until rich results disappear. Here's a repeatable validation workflow, the tools that actually check different things, and why passing every test still doesn't guarantee AI citation.
AEO for Ecommerce: Product Facts, Reviews, and Inventory Truth
How ecommerce brands earn citations in ChatGPT Shopping, Google AI Mode, and Perplexity — and how to prove it's driving revenue, not just visibility.
Finding Schema Conflicts Across Templates: A Technical Audit for Large Sites
Large sites accumulate contradictory structured data — two Organization schemas, mismatched Product prices — as templates, plugins, and migrations pile up. Here's how to find it, why it confuses both Google and AI search systems, and how to fix it at the template level instead of page by page.
What a Legitimate AEO Agency Actually Delivers
A practical checklist for AEO/GEO deliverables: technical audits, evidence-based content plans, QA operations, honest measurement, and the limits no agency can promise away.
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.
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.
PDF Citation Strategy: Publishing Research Assets Responsibly
A PDF that AI answer engines can crawl, parse, and cite accurately looks nothing like a PDF built for print — this is what tagging, metadata, and text-layer decisions actually change, and what they can't fix.
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.
PDF SEO for AI Retrieval: Indexability and Evidence
Technical requirements for making PDFs crawlable, canonical, and metadata-complete so both classic search crawlers and AI retrieval systems can parse, index, and cite them correctly.
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.
How to Optimize Content for Gemini and Google AI Overviews
A practical framework for Gemini and AI Overview visibility: entity clarity, verifiable evidence, stable page structure, and how to actually measure citations.
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.
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.
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.
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.
Pricing Pages for AI Search: Structuring Plans So Answer Engines Quote Them Right
Why AI search engines misquote SaaS pricing, and the structural fixes — from Offer markup to per-seat basis — that make plans unambiguous.
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.
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.
Webinars for AI Search: Turning Recordings Into Text Answer Engines Can Retrieve
Most AI crawlers can't watch a webinar. Here's how to turn the recording into transcripts, claims, and pages that answer engines can actually retrieve and cite.
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.
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.
Organization Schema Audit for Brand Consistency: A Step-by-Step Guide
Fragmented Organization and LocalBusiness markup — a different logo on the pricing page, a stale address in the footer schema, a sameAs link to a dead Twitter handle — quietly breaks the entity signal AI search systems use to recognize a brand. Here's how to audit it and fix it.
