// AI_Search_09

    Product feed and PDP optimization for AI.

    One consistent product truth across your pages, your structured data and your merchant feeds — so shopping surfaces and assistants describe your products correctly.

    Three systems describe every product you sell: the page a customer reads, the JSON-LD a crawler parses, and the feed your merchant channels consume. When they disagree — different titles, missing attributes, stale prices, absent identifiers — shopping surfaces downgrade you and assistants describe your products wrongly or not at all. This engagement makes those three agree, then deepens the attribute set so your products match the constraints buyers actually state.

    // Key_Takeaways

    • Feed, schema and page disagreement is common, invisible in normal reporting, and quietly expensive.
    • Missing GTINs and identifiers cut eligibility across multiple shopping and AI surfaces at once.
    • Attribute depth is what lets an assistant match a product to a stated constraint.
    • Price and availability freshness affects both merchant eligibility and citation trust.

    Your page, your schema and your feed should be three views of one truth. Usually they are three opinions.

    — Arise GEO, Product Feed Optimization

    Assistants do not browse your filters. They read your attributes.

    — Arise GEO, Product Feed Optimization
    24 hours
    Scoping turnaround
    $4,500
    Forensic audit
    90 days
    To measurable movement
    180-day
    Money-back window
    // Parity

    Reconcile the three sources

    A full diff across page copy, Product JSON-LD and every active feed, reported per attribute and per SKU with a remediation plan.

    • Per-attribute diff report
    • Title and description normalisation
    • Price and availability freshness
    • Variant-level reconciliation
    // Identifiers

    Identifier and taxonomy hygiene

    GTIN, MPN, brand and category taxonomy corrected and completed, because these are the keys that connect your product to everything known about it elsewhere.

    • GTIN and MPN completion
    • Brand entity linking
    • Google product taxonomy mapping
    • Duplicate and orphan cleanup
    // Depth

    Attribute enrichment

    We model the constraints buyers state in your category and fill in the attributes that answer them, at template scale rather than one SKU at a time.

    • Constraint-to-attribute mapping
    • Bulk enrichment rules
    • Sizing, materials and compatibility data
    • Sampling QA process
    // Schema

    Product schema that validates

    Product, Offer, AggregateRating and Review nodes wired into the site entity graph, validated per template, monitored for regression.

    • Product and Offer validation
    • Review and rating integrity
    • Entity graph linkage
    • Regression monitoring
    // The_Contract

    The 180-day money-back guarantee.

    We can promise this because our methodology already works. Hundreds of pages now sit in position #1 across our clients' catalogs. The risk shouldn't be on you — it's on us.

    • 01We run the full 10-stage audit and deliver a sequenced 90-day plan.
    • 02You implement our recommendations (or hire us to implement them).
    • 03If you don't see measurable ranking and revenue improvement in 3–6 months — we refund you. In full.
    Lock in your audit slot →
    // Frequently_Asked

    Questions about this engagement.

    Do you work with Google Merchant Center feeds specifically?+

    Yes, plus Meta, Microsoft, TikTok and marketplace feeds. The same parity problem affects all of them, and fixing it once usually improves several channels at the same time.

    Will this improve paid shopping performance too?+

    Frequently, yes. Feed quality drives eligibility, matching and relevance in shopping ads, so parity work often shows up in paid metrics before organic ones.

    We do not have GTINs for our own-brand products. Is that a problem?+

    Less than for resold goods, but you still need consistent MPNs and a clearly declared brand entity. We set the correct identifier strategy for own-brand catalogues.

    Can you handle enrichment at scale?+

    Yes. Enrichment runs as rules and templates with sampled human QA, not manual SKU editing, which is what makes it viable on six-figure catalogues.

    How is this priced?+

    Scoped on catalogue size and channel count, usually inside a broader engagement. The audit stage is $4,500. Implement our 90-day plan and if you don't see movement in 3–6 months, we refund our fees in full.

    How do we make sure our company shows up on AI platforms like ChatGPT and Gemini?+

    Three layers, in order. First, entity clarity: one canonical Organization with @id anchors, sameAs links to authoritative databases, and knowsAbout coverage of your real expertise. Second, extractable content: atomic answer blocks, comparison tables, transparent pricing and specs, and FAQ blocks on every commercial page. Third, corroboration: mentions in the roundups, directories, review platforms, and trade publications those engines retrieve. Measure it by probing a fixed set of buying questions monthly and tracking citation frequency per engine.

    What actually makes a page get cited by AI instead of just ranked?+

    Citability. AI engines lift passages that answer one question completely in 40–80 words, in plain language, with a concrete number, definition, or list. Pages that bury the answer under narrative rarely get quoted. We rewrite key pages so every important question has a self-contained answer block, wrapped in schema that labels what it is.

    Is SEO still worth investing in now that AI answers so many queries?+

    Yes, because AI answers are built from indexed pages. Every major assistant retrieves from a crawled index, so pages that aren't crawlable, renderable, or structured never enter the candidate pool. Classic SEO is now the entry requirement for AI visibility, and the two programs share almost all of the same work.

    How quickly can we expect results from an Arise GEO engagement?+

    Technical recovery and on-page work typically show movement in 30–60 days. AI citation lift on long-tail and comparison queries usually lands in 30–90 days. Category-level authority and head-term rankings are a 6–12 month curve. Every engagement ships a sequenced 90-day plan so early wins fund the long work.

    What do we get, and what does it cost?+

    You get a forensic audit, a prioritized 90-day execution plan with effort and impact scoring, and optional done-for-you implementation by our engineers and editors. Pricing is scoped per engagement based on catalog size, locale count, and whether you want execution included. Implement our 90-day plan and if you don't see results in 3–6 months, we refund you in full.

    Make your catalogue tell one story.

    Audits scoped within 24 hours. Results within 90 days, or your money back.

    Request Your Audit →