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.
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Stories tagged GEO
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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.
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.
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.
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 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.
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.
Measuring SEO, GEO, and AEO Without Merging the Signals
A practical operating framework for tracking rank, AI citations, and answer-engine visibility separately — with real data sources, cadence, and decision rules for each.
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.
The AI Search Technical Audit: A Crawl-and-Retrieval Checklist
A practical, consolidated crawl-and-retrieval audit for AI search engines — robots.txt, rendering, status codes, structured data, sitemaps, canonicals.
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.
A Practical Framework for Optimizing Content for Google AI Mode
How AI Mode's query fan-out changes content strategy — research, evidence-block structure, technical accessibility, and what Search Console can (and can't) measure.
A Practical Method for Analyzing Google AI Overview Sources
A step-by-step method for sampling Google AI Overview citations, what patterns hold up under scrutiny, and how to turn findings into a content plan.
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.
Original Research for AI Citations: How to Choose Questions Worth Publishing
Most "original research" is a vanity survey AI models ignore. Here's how to pick questions that earn citations — and the disclosure that makes them trustworthy.
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.
First-Party Data for AI Search: Turning Internal Knowledge Into Citable Content
Support tickets, usage logs, and product analytics can out-cite recycled blog posts in AI search — if you aggregate, anonymize, and publish them right.
Comparison Pages for AI Search: How to Build "X vs Y" Pages That Actually Get Cited
AI engines are discounting vendor-biased comparisons. Here's the evidence, and the exact structure that earns citations instead of skepticism.
How to Build "Alternatives" Pages AI Engines Will Actually Cite
Most vendor alternatives pages get ignored by AI search. Here's the honesty-first structure — trade-offs, scenarios, dated facts — that earns citations instead.
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.
Product Documentation for AI Search: Writing Docs That Agents Can Verify
How to write product and feature docs AI answer engines and coding agents can verify — not just repeat as unchecked marketing claims.
Help Center SEO for Answer Engines: Structuring Support Content AI Won't Get Wrong
How to structure help-center articles so AI answer engines retrieve your current, correct support info instead of stale or invented answers.
AI Search Brand Monitoring: Tracking What Answer Engines Say About You Before It Costs You
How to track brand drift, source citations, and stale claims across AI answer engines — distinct from social listening.