All promptsTechnical SEO

Audit product feed and schema mismatches by variant

Compare Merchant Center, Product schema and visible page values without treating harmless formatting as a failure.

Works in
ChatGPT, Claude, Gemini
You need
Merchant Center export · Product schema export · Visible page values
Written for
product feed audit prompt

Most mismatch reports produce noise because punctuation gets the same red flag as the wrong price. This prompt uses statuses that preserve that difference and assigns each problem to the system that should own the repair.

The prompt 88 words
Compare these three sources one sellable variant at a time: feed, Product
structured data and visible landing page.

Match identity first using ID, SKU, GTIN, MPN, brand and variant group. Then
compare URL, title, price, currency, availability and condition.

Return a table with feed value, schema value, page value, status and owner.
Status must be EXACT, ACCEPTABLE PRESENTATION DIFFERENCE, STALE, WRONG
VARIANT, or MISSING. Rank identity and purchase-condition errors first.
Never invent a missing value or assume which source overrides another.

Feed: [FEED]
Schema: [SCHEMA]
Page values: [PAGE]

What to change

Everything in square brackets is yours to replace. Nothing else needs editing.

[FEED]
A feed export with identifiers and offer fields.
[SCHEMA]
Parsed JSON-LD values by product URL.
[PAGE]
Visible values from the same live URLs.

How to run it

  1. 01
    Sample important variants

    Start with top sellers, sale items and recently changed stock.

  2. 02
    Resolve identity first

    Do not compare prices until the rows describe the same variant.

  3. 03
    Fix the source system

    Correct the catalogue or integration rather than patching one export.

Questions people ask

Should feed and schema titles match exactly?

Not always. Presentation can differ while the product and variant remain consistent. Identity, price and availability mismatches are more urgent.

A new prompt, most days One working prompt for a real SEO or AI visibility job, what to change in it, and a worked example. No sequences, no offers dressed as newsletters.

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