AI product feed optimisation
AI product feed optimisation starts with accurate, complete product facts. Use NeuraCite to find missing fields, review suggested values, export JSONL or CSV files and work with Google Merchant Center.
Trial dates at checkout. Payment details required.
Find feed gaps
Identify missing or incomplete product fields before submission.
Improve feed values
Review suggested product titles, descriptions, and attributes.
Export structured data
Download reviewed product data as JSONL or CSV.
Optimize Product Feeds
AI Feeds
Product data built for AI discovery
Open AI Feeds
Illustrative walkthrough: complete product feed fields and export structured data as JSONL or CSV. Sample data.
Create and improve product feed data for AI and commerce platforms. Neuracite helps identify missing fields, generate feed gap reports, review AI-suggested values, and export structured product data as JSONL or CSV.
Gemini Feeds
Illustrative walkthrough: preview product payloads, review diagnostics and sync Google Merchant Center feed data. Sample data.
Connect Google Merchant Center, preview product payloads, sync product data, review diagnostics, schedule recurring syncs, and manage submitted products.
From incomplete product facts to a reviewed feed
Give your commerce and Generative Engine Optimisation teams product data they can check and reuse. AI Feeds helps you review missing fields and suggested values, then prepare a structured export or work with the connected Google Merchant Center flow.
Start with an approved product record
Choose a product and confirm its current title, description, price, availability and relevant identifiers. Use the catalogue or product owner as the factual source. Suggestions should preserve those approved facts, including variants and important restrictions. Use the single-product Merchant Center workflow with an active project containing one product.
Choose the right output
Review missing or incomplete fields and compare suggested values with the source record.
Edit and approve the data your team intends to use. Resolve unsupported descriptions with the product owner.
Export reviewed data as JSONL or CSV. For connected Google Merchant Center work, preview the selected product payload, sync that product and inspect the returned diagnostics.
Example: completing one product row
Illustrative example with fictional product data.
Field
Title
Starting record
Travel mug
Review decision
Use the verified capacity and colour to distinguish this variant.
Field
Description
Starting record
Capacity omitted
Review decision
Add the approved 350 ml detail.
Field
Availability
Starting record
An older stock value
Review decision
Check the current catalogue before export or sync.
Field
Output
Starting record
Reviewed product fields
Review decision
Prepare the file or inspect the Merchant Center payload.
A downloaded file and a submitted product have different follow-up checks. Review the file’s contents before using it elsewhere; inspect Merchant Center diagnostics after a sync. Assign data corrections to the person maintaining the source catalogue so the same issue does not return in the next update.
Use the product-feed readiness guide to plan the review, or follow the Google Merchant Center integration guide for the connection workflow.
See the Shopify AI product discovery guide for Welsh stores for a practical product-page and feed checklist.
Bring a sample product and the destination you need to prepare it for.
FAQ
Frequently Asked Questions
1. What are AI Feeds?
2. Why does product feed quality matter for AI search?
3. What does NeuraCite check in my product feed?
4. How does NeuraCite improve feed values?
5. Can I export optimised product data?
6. Does NeuraCite work with Google Merchant Center?
7. Who should use AI Feeds?