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SEO and GEO
Separate discovery, crawling, indexing and AI citations. Verify pages, variants and policy sources, then test real answers and purchase journeys.
For · Search content, product data and AI discovery owners
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Pages & discovery
Make useful page roles discoverable.
InputSearch tasks and existing pagesOutcomeDestinations, links and crawl evidence
How should search tasks map to topics, articles and services?
Identify whether the reader needs an explanation, implementation or a service. Assign a primary destination and link supporting context: topics organize questions, articles develop them and services define delivery.
- Compare title, heading, opening answer and page role.
- Connect related pages with descriptive same-language links.
Related keywords do not always justify separate pages.
How do discovery, crawling, indexing and AI citations differ?
Discovery identifies an address, crawling retrieves it, indexing adds it to a search index, and a citation must be observed in a specific answer. Keep platform status, crawl time, canonical URL and answer sources separate.
- Record sitemap reception separately from actual page fetching.
- Open cited sources and check that they support the associated statement.
A successful live fetch or sitemap discovery does not guarantee indexing. Crawler access does not establish an AI citation.
How can filtered URLs avoid an unbounded search space?
Decide which results have independent search value before setting crawl and index behavior. Check useful entries, results, links and canonicals, and avoid endlessly generating crawlable combinations without value.
- Inspect parameter combinations, empty results and duplicates.
- Record crawl controls, index status and canonicals separately.
Robots rules, noindex and canonical signals serve different purposes.
Articles & checklists for this step
Shopify GEO acceptance checklist
Pick one target market and a set of real buying questions. Record evidence from public pages, channel settings and actual answers.
Sample four page types
Choose a collection, a product, the About page and a delivery or returns policy. Check the response, main content, canonical URL and reciprocal language links where applicable. Record crawl access and indexing status separately in Search Console.
Verify brand and product facts
Check the brand name, specifications, units, fit, price, stock, delivery and returns. Link product information to the relevant policies. Match the brand identity to public profiles and attributed cases.
Check product channels separately
Record eligibility, fields and variants, live placement, and checkout separately for each target market and SKU. Open the four acceptance checks below to capture admin and storefront evidence.
Retest with the same questions
Keep the platform, market, date, question and actual citation URLs. Record brand mentions, linked citations and product placements separately. Compare changes alongside search and referral data.
- Search intent and page roles
- Product descriptions and buyer questions
- AI content evidence and review
- Make brand claims and project metrics verifiable
- Diagnose crawling and retest AI answers
- Four acceptance checks for Shopify AI product channels
- Retest product or policy changes at three layers
- Shopify GEO: product data and AI citation checks
- Shopify product feeds, catalog interfaces and variant checks
- From a ChatGPT recommendation to the right purchase
- Jev example for product selection and cart confirmation
- Satechi example: compatibility, variants and cart QA
- Shopify product discovery and visibility
- Shopify Knowledge Base checks
- AI shopping assistants and UCP integration
- Check initial HTML, caching and browser WebMCP in Hydrogen
- Check that product data and promotion terms agree across channels
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Products & policies
Verify the facts being interpreted.
InputReachable pages and product recordsOutcomeConsistent product and policy facts
Which facts should product pages, feeds and markup align?
Identify model and variant, then compare identifiers, price and currency, availability, compatibility and buying conditions. Check the applicable public page against configured sources and update consumers together.
- Follow a recommendation to the actual product and option.
- Compare the visible offer, markup and checkout.
Data conformity does not guarantee listing or recommendation.
How should products, policies and brand evidence connect?
Link products to applicable manuals, compatibility and market policies. Connect brand, team and location information to verifiable identity and responsibility, keeping shared facts and exceptions consistent.
- Compare the same promise across announcement, product, cart and policy.
- Record evidence ownership, dates and model scope.
A link alone does not establish truth; distinguish client material from platform rules.
Articles & checklists for this step
Four acceptance checks for Shopify AI product channels
Channel eligibility and activation
Record the market, channel, date and eligibility message. In Agentic, check Shopify Catalog and channel status for ChatGPT and Copilot. Google AI Mode and Gemini receive product data from the Google & YouTube sales channel or Merchant Center. Check Meta Catalog discovery and shoppable ad syncing separately.
Fields, variants and wholesale visibility
Sample mapped fields with and without a value. Check fallbacks, current and compare-at prices, and grouping by variant ID. Custom Catalog grouping takes precedence over Combined Listings. As a guest, test native B2B-only items, wholesale items hidden by an app or theme, and shared items that should show the retail price. Unlisted also affects sitemaps and search inside and outside the store.
Live placement and answer citations
Save Search preview for diagnosis. Repeat the same question on the live AI surface for the same market and currency. Record the product card, specifications, price, stock and citation URL separately. The preview and live channel can rank products differently.
Store entry, product selection and checkout
On a phone, follow the live recommendation to the store or channel checkout. Verify the selected specifications, variant added to cart, currency, shipping and purchase destination. ChatGPT uses the merchant’s online store checkout. Test other destinations against their active settings and record unavailable checks as pending. Open the actual Merchant Center variant URL in the target market. Check the selected variant, price and currency, availability and the item at checkout.
Test buyer consent in a custom UCP agent
In a test store that negotiates buyer consent, record an explicit choice, the merchant default for a known country, and the opt-out default for an unknown country. Use a test account to check the warning for SMS opt-in without a phone number. Provide the required detail and retest.
Retest product or policy changes at three layers
Capture the storefront baseline at save time
Record the time, market, currency, SKU or policy URL, and old and new values. Check the product or policy page. For store information, also check /agents.md and /llms.txt on the main domain. Shopify provides these discovery files by default, with URL-specific templates able to override their output. robots.txt governs applicable open-web crawling. Channel settings govern Catalog delivery to activated channels.
Recheck admin output and Knowledge Base migration
For product changes, review Channel mapping and target channel status. For policy changes, check the Knowledge Base source, Published state and public references. When switching to Manual, restore relevant links supplied by the previous source. The up-to-48-hour window applies to a requested Knowledge Base rescan. Record the status shown in admin. For policy changes, open Agentic under Sales channels and choose Knowledge Base under Sources.
Repeat a fixed question on the live surface
Save Search preview as a Catalog diagnostic, then test the live channel with the same market, currency and question. Check product placement, variant, price, stock, compatibility, cited URL and the purchase destination. Record preview and live results separately because channels can reorder results.
Keep one record for each channel
Record time, market, SKU or policy URL, change, admin status, storefront evidence, actual question and product card. Record retrieval cards, links cited in the first answer and later checks separately. Open each link and record its final URL. Track eligibility, field output, placement and checkout separately. Mark unavailable surfaces as untested and absent placements as not shown.
Record the policy baseline for the target market
Save the target market, official policy URL and date checked. Compare the product page, footer policy and any public system policy page. Record the return window and start date, item and packaging conditions, send-back deadline and who pays for shipping. Save conflicting URLs and wording. Flag wrong-market citations, conflicts within the same market and unsupported claims separately. If another host for the same brand claims to cover the target store, check applicability along that store’s product and checkout paths.
Migrate from the old Knowledge Base app
If the old app contains at most 1,000 facts, overrides and additional facts transfer to the new knowledge base and publish automatically. If the old app contains more than 1,000 facts, manually enter the overrides and additional facts you need before the old app retires on January 15, 2027. The new knowledge base holds up to 1,000 facts in total, including generated facts.
Sample a return rule you previously overrode and a delivery fact you added. Check the wording, publishing status and public references in the new knowledge base. Ask the original questions again in the live AI channel.
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Content & evidence
Keep answers, conditions and sources together.
InputVerified facts and genuine materialOutcomeTraceable answers and ownership
How should knowledge content be structured for checking and citation?
Give a direct answer, then state its audience, conditions and exceptions. Connect important claims to original evidence and a real review date. Product content should identify the model, variant, market and buying conditions.
- Distinguish brand statements, client material, industry examples and teaching assumptions.
- Keep important explanations in readable page content reachable through ordinary links.
Clear structure supports understanding and verification, not a promised recommendation. Google’s AI search features require no special AI files or dedicated schema.
How should knowledge change when its sources change?
Trace affected claims to the original source and consuming pages. Recheck conditions, dates and languages before updating answers and articles, preserving the reason and previous record.
- Check platform versions, policies and live configuration.
- Compare the updated public copy and citation records.
Automatic retrieval can suggest candidates; factual judgment and publication require review.
Articles & checklists for this step
Make brand claims and project metrics verifiable
Keep the entity and the date together
Record the entity, event, date and source for each claim. Track platform launch, merchant adoption, partnership and incorporation as separate events. Check the About page, case studies, translations and Organization markup before publishing a founding date.
Attribute each case to the people who did the work
Separate work you delivered, reviews supplied by clients and cases published by a platform. Name the brand, market or store, responsible party, scope, launch date and source. If a platform case identifies its implementation partner, credit that party.
Record the evidence behind each metric
For historical samples, record period, inclusion criteria, sample size, numerator, denominator and baseline. For lab tests, record page, device, network, tool version and script configuration, and separate them from field data. For single-project results, give the observation window, baseline and relevant concurrent changes.
Preserve original data and publish within its scope
Keep client source material, figures, units and attribution. Describe a single project or test in its own context. Define the start, finish and day type for timelines and the denominator and exceptions for coverage claims. Resolve missing evidence in the internal record before broadening a claim.
Compare language variants and rendered output
Use the same fact record to check headings, summaries, graphic labels and both language versions. Check raw HTML and visible text before and after animation so intermediate counters do not appear as the final metric. Compare structured data with the visible page.
Brand evidence and content maintenance
Brand recognition rests on verifiable services, attributable cases and consistent information. Content and structured-data fixes improve communication; citations, rankings and enquiries need separate observation.
Check brand facts
Link scope, contact, regions and policies to actual pages. Preserve original client figures, dates and attribution; do not invent certification or outside endorsement.
Separate experience from platform rules
State conditions for project guidance. Link platform capabilities to official documentation and retain the access date. Preserve the nature of client evidence without presenting it as independent verification.
Connect articles with service pages
The guide organises questions and reading paths, articles explain methods, and service pages define scope and delivery. Give each article one primary home rather than copying its body into more pages.
Review after a change
Save previous versions, sources and reasons. Check both languages, links, visible content and structured data. Update affected rules when platforms change rather than bulk-refreshing dates.
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Citations & retesting
Observe real answers and buying routes.
InputPublished pages and fixed conditionsOutcomeFirst answers, citations and retests
What should a reproducible GEO observation retain?
Fix the question, language and target market. Record the platform, visible model, browsing state, time and session conditions, retaining the unprompted first answer and actual sources. Open the cited pages and compare the claims.
- Evaluate brand mentions, citations and the buying journey separately.
- After a page change, repeat under the same conditions and retain both raw results.
Record unavailable browsing, limits or missing valid output as untested. One answer cannot establish stable ranking or citation growth.
Articles & checklists for this step
Diagnose crawling and retest AI answers
Pick URLs by buyer task
Set the market, language and question first. Service pages explain scope and delivery, guides support decisions and checks, and cases substantiate specific experience. Use existing pages where they can answer the task. Add a standalone guide once the task and evidence justify it.
Verify access and indexing
Check HTTP, robots.txt, CDN rules, noindex, canonicals, language links and rendered content on the actual URLs. For moves, record old URLs, direct destinations, internal links and sitemaps. Use the search platform’s URL inspection to confirm indexing status.
Check crawlers by purpose
Separate search crawling, user-triggered fetches, training and controls for product-specific grounding. Verify request identity using published IP ranges or the provider’s documented method. A User-Agent alone does not establish the origin.
Check the Search generative AI control
In Search Console, open Settings and Search generative AI for the property that covers the URL. Record Include, Exclude or Inherit and identify the effective parent property if it is inherited. This setting governs whether the site’s links and content can appear in AI Overviews, AI Mode and the relevant Discover features. Check crawling, indexing and snippets separately for regular Search.
Track mentions, citations and product placements separately
Retest a fixed question and market in a fresh conversation. Keep platform, time, prompt, answer and cited URLs. Record brand, legal entity, cited domain and product placement separately. Run unbranded buyer questions before explicit brand checks.
Separate platform observations from business results
Track search reports, AI answers, identifiable referrals and qualified enquiries as separate measures. One answer can expose a mismatch. Use repeat observations under comparable conditions for trends. Google’s AI search eligibility follows normal indexing and snippet requirements. Record when you checked the source.
Compare generative AI impressions in Google Search
In the Generative AI performance report for Search, match the date range in Pacific Time, canonical URL, country, device and search type. Compare totals at the same level because the property chart and the page rows aggregate impressions differently.
Record these impressions as a subset of overall Web search. To verify a citation for a specific question, save the actual answer and the final destination of its link separately.
Learn from project examples
INIU · Specifications to cart
- Business problem
- Power, capacity, ports and device compatibility need to be compared quickly.
- Implementation described in the published case
- The case places core specifications in the main reading area and connects scenario entry points, filtering and mobile add-to-cart to the same product fields.
- Acceptance question for a new project
- Choose different specifications, colours and stock states. Do the list, product page and cart refer to the same sellable configuration?
Shokz UK · Scenarios and variants
- Business problem
- Shoppers first choose a sports or work range, then confirm colour, fit and accessories within a model.
- Implementation described in the published case
- The case separates scenario navigation from variants and keeps media, benefits and purchase controls tied to the current SKU.
- Acceptance question for a new project
- Switch colour and fit, then use the long-page purchase bar. Do imagery, price, benefit copy and cart variant remain consistent?
Maintained by WESWOO · 2026-11-12
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