Theme 03 / 05
Technical Foundation
Crawling, rendering, structured data, feeds, hreflang, and data pipelines. If AI cannot get in or parse it, content does not matter.
Reading order
- GEO-006The AI Crawler Map: GPTBot, ClaudeBot, PerplexityBot, and Google-ExtendedTraining crawlers and retrieval crawlers want different things from your store. Map GPTBot, OAI-SearchBot, PerplexityBot, and Google-Extended page by page.Issue 01
- GEO-007Can AI Render Your Store?Most AI crawlers do not run JavaScript, so a client-rendered storefront can reach the model as an empty shell. Three no-code tests and a field-first fix.Issue 01
- GEO-008Is llms.txt Actually Useful for E-commerce?llms.txt is not a switch that gets your store cited by AI. How it differs from robots.txt and sitemaps, which pages to curate, and how to test that it is read.Issue 01
- GEO-013A Complete AI Crawl Audit: From robots.txt to Server LogsA five-gate crawl audit for cross-border stores: prove where AI access actually fails, using server-log evidence, three common misreads, and a two-week plan.Issue 02
- GEO-014Allow or Block AI Crawlers in robots.txt?Blocking AI crawlers often closes the answer door too. Map pages into three layers, write robots.txt by group, and price the cost of a mis-block.Issue 02
- GEO-015Cloudflare, Akamai, and WAFs: Don't Lock AI Crawlers OutWAF and bot management block scrapers and retrieval crawlers in the same sweep. Four misfires, a four-step fix, and why 403 and 429 must be read apart.Issue 02
- GEO-025The Product Graph: AI Doesn't See a SKU, It Sees a GraphA flawless product page still leaves AI holding fragments. How entity, variant, attribute, and relation data decide whether your product enters the answer.Issue 03
- GEO-026Product Schema in 2026: From Required Fields to Citable FactsA green validator proves syntax, not truth. A 2026 guide to Product schema: identity, transaction and trust layers, five common failures, and a regression test.Issue 03
- GEO-027Offers, Prices, and Stock: Where AI Is Easiest to FoolA DTC SKU can carry four competing prices: page, JSON-LD, feed, checkout. A source-of-truth playbook for Offer data, currency, tax, and stock.Issue 03
- GEO-042Help AI Extract Correctly: HTML Semantics and Paragraph BoundariesAI extracts DOM blocks, not your layout. Fix heading hierarchy, spec tables, and paragraph boundaries so answers quote your page instead of guessing.Issue 04
- GEO-043FAQ, HowTo, Review: Which Structured Data Still Works?Google's rich results keep shrinking, but machine comprehension does not. Audit markup field by field, fix what is invisible, and know when to skip schema.Issue 04
- GEO-044A GEO Component Library for Product Page TemplatesA page-by-page GEO fix does not survive two thousand SKUs. Six template components, the field order that makes them extractable, and where reuse breaks.Issue 04
- GEO-056Review Structured Data: Aggregate Ratings and Individual ReviewsAggregate ratings break when the count is orders, not reviews. Reconcile the fields against visible reviews, split the two markup types, and gate the build.Issue 05
- GEO-057Crawling and Citing Third-Party Reviews: The Trustpilot ExampleA Trustpilot star widget can show five stars while handing a model an empty div. Three ways third-party reviews vanish, and a five-step fix.Issue 05
- GEO-058Machine-Readable Evidence: Tables, PDFs, and ImagesScanned PDFs and PNG spec tables look like proof and read as nothing to a model. How to move test evidence into tables, text, and files AI can quote.Issue 05
- GEO-066Machine-Readable Comparison TablesA comparison table is a matrix a model reads cell by cell. Fix units, name missing values, pair HTML with schema, and blind-test what gets extracted.Issue 06
- GEO-067Alternatives and Compatibility: Structuring the 'Dupe' Relationship'Fits most models' is a sentence AI drops. Turn substitute, compatibility, and accessory claims into fielded records with fit lists, exclusions, and evidence.Issue 06
- GEO-068Site Search and Recommendations: The Internal Shadow of AI ShortlistsYour site search log is the cheapest sample of AI shortlists you already own. Read queries, zero-results, and co-purchase pairs, then calibrate them.Issue 06
- GEO-078Multilingual URLs and hreflang Done RightLanguage path, subdomain, or ccTLD: pick the structure one team can redeploy, generate one hreflang matrix, and gate it in CI before the next locale ships.Issue 07
- GEO-079Multilingual Content: Consistency vs. DifferentiationWhich fields must match in every language version — model strings, warranty terms, units — and which must be rebuilt locally, plus a three-gate parity audit.Issue 07
- GEO-080Localized Feeds and Pricing: Currency, Tax, and ShippingFeed prices, tax basis, and shipping decide whether AI quotes you or drops you. A per-market offer model, a validation playbook, and honest limits.Issue 07
- GEO-092Knowledge Graph Basics: Wikidata, sameAs, and Entity DisambiguationAn assistant picks the wrong company with your name before it reads your copy. Eight sourced fields, a backlink test for sameAs, and a split-first order.Issue 08
- GEO-093Structured Off-Site Profiles: Crunchbase, LinkedIn, G2Crunchbase, LinkedIn, and review-site profiles are the brand fields AI checks first: twelve fields to align, five ordered steps, and one owner.Issue 08
- GEO-094Citation Monitoring: Who Links to You and Who Mentions YouBacklinks, brand mentions, and AI citations are three monitors, three units. How to collapse them onto one brand ID, dedupe, and report a number you can defend.Issue 08
- GEO-097Agentic Commerce Readiness: From Being Recommended to Being OrderedFive layers an agent reads before it orders — product ID, price, shipping, returns, payment — plus a seven-check audit and four steps to wire the chain.Issue 09
- GEO-098The Product Feed Is the New Landing PageAgents filter feed records before they ever open your page. A field-priority checklist, comparable titles and attributes, and the errors that drop SKUs.Issue 09
- GEO-099What AI Checkout Needs: Price, Stock, Shipping, ReturnsAn agent drops the cart when its quote, hold, and confirmation disagree. Four data families, an exception dictionary, and a five-step contract to test.Issue 09
- GEO-116Tracking and Privacy: Measuring AI Traffic Without CookiesConsent banners erase AI referrals from your reports. Five signals that survive, a five-step build, and a worked range your legal team can sign off.Issue 10
- GEO-117Logs, APIs, and the Warehouse: A GEO Data PipelineA GEO dashboard fails on keys, not charts: grain mismatches in logs, orders, and AI samples, three entity keys, four refresh tiers, and five steps.Issue 10
- GEO-118AI Answer Monitoring Tools: Build, Buy, and ValidateCoverage numbers demo well and validate nothing. Five checks, one veto, a three-table in-house build, and an agreement-rate audit for AI answer monitoring.Issue 10
- GEO-126Put GEO into CI: Validate Structured Data and Links at Build TimeType checks pass while links 404 and JSON-LD prices drift. Five build-time assertions, three Astro mount points, and a gate that can actually fail.Issue 11
- GEO-127A Multilingual Publishing Pipeline: One Brief, Two MarketsOne brief, two localizations, one release state: a publishing pipeline that keeps shared facts frozen, local wording free, and rollback paired by ID.Issue 11
- GEO-128Permissions, Review, and Versioning: Content Governance at ScalePast a hundred pages, AI accuracy is an engineering problem: three field tiers, routed review, versioned releases, and a rollback drill that can fail.Issue 11
Other themes
Strategy & MarketMarket priority, budget, competition, and organization. Decide where to play and how to pay for it before touching a page.Which market first, and is it worth it?Content & SemanticsAnswer units, product titles, attributes, comparisons, and use-case pages. Make the right sentence easy to extract and easy to trust.What should the first paragraph of a PDP say?Authority & Off-siteBrand entities, reviews, UGC, communities, digital PR, and knowledge graphs. What AI trusts is often decided off-site.Why does AI not cite me?Measurement & GrowthPrompt sets, citation share, AI referral traffic, attribution, experiments, and scorecards. Without measurement, GEO is guesswork.How do we prove GEO works?