Product Feeds for AI Search

Optimizing Product Feeds for AI Search (Gemini, Copilot, ChatGPT, and Perplexity)

AI search engines like Google Gemini, Microsoft Copilot, ChatGPT, and Perplexity don't just match keywords. They answer full user questions using product data. To get your products recommended by these tools, your feed must contain specific, structured details.

Table of Contents

1. How AI Search Works
2. Key AI Enrichment Attributes
3. Using Feed AI Templates (Optional)
4. Connecting to AI Channels
5. Technical Formatting Rules
6. Quick Answers to Common Issues

1. How AI Search Works

To understand how AI search engines recommend products, let's look at a concrete example.

• The User Query: A user asks ChatGPT: "I need a waterproof, lightweight backpack with laptop protection for a 3-day trip."
• The AI's Scan: The AI scans millions of product feeds to find a match.
• The Recommended Product: The AI will recommend the backpack that explicitly lists these details in its product attributes over a competitor's backpack that only has a basic title and description.

By using SmartFeeds, you can structure and enrich your catalog to make your products recommended during these searches.

2. Key AI Enrichment Attributes

Before configuring your mapping, remember that standard mandatory attributes—such as [id], [title], [description], [price], and [availability]—must always be populated in your feed. They form the baseline.

To make your products conversational and discoverable via AI search engines, you need to enrich your catalog with specific, structured attributes. While you don't need to fill out every single field in the mapping interface, prioritizing the following key attributes will have the highest impact on your AI search performance:

Strategic Support: SmartFeeds Data Services (Optional)

If you don't have these attributes ready, or if you want to ensure your enrichment is perfectly optimized, our Data Services team can assist you. Alongside our technological platform, we offer dedicated services backed by two unique strengths:

• Market-Leading Experience: We are already ahead of the curve. Our team has successfully designed and deployed these conversational AI attributes for major market leaders, including a pilot project with Europe's leading refurbished marketplace.
• A Data-Driven Methodology: We don't build Q&As or highlights at random. We analyze actual search signals and market trends to understand exactly what your users are asking, allowing us to build precise, high-impact content that matches real user intent.

Ready to elevate your feed for the AI search era? Contact our Data Services team today to discuss how we can partner together to design, build, and optimize a high-performance conversational strategy for your catalog.

3. Using Feed AI Templates (Optional)

Writing these attributes manually for a large catalog is slow. You can use Feed AI (found in the Data Transform column of your ProductFlow dashboard) to generate this content automatically.

Inside SmartFeeds, you have access to a built-in Prompt Library with pre-configured templates ready to copy:

• Generate product highlights: Use this template to fill your [product_highlight] attribute.
• Generate product details: Use this template to structure data for your [product_detail] attribute.

➔ For step-by-step instructions on setting up AI tasks and running generation, read our Feed AI Setup Guide.

4. Connecting to AI Channels

To send your optimized data to AI platforms, you first create or select the channel, and then configure the mapping in the Data Transform column of your ProductFlow dashboard. All export configurations are managed directly inside the Channels column.

Google Gemini (AI Mode) & Microsoft Copilot

They pull data directly from your standard Google and Bing export channels.

1. Open or create your Google Merchant Center or Microsoft Bing channel under the Channels column.
2. Go to the Mapping section in the Data Transform column and map your enriched fields to [product_highlight], [product_detail], and [q_and_a].
3. Save your changes and export the channel.

ChatGPT (OpenAI)

1. Click the + button at the top-right corner of the Channels column.
2. Select the native ChatGPT Product Feed channel.
3. Go to the Mapping section in the Data Transform column and map your enriched AI attributes to the ChatGPT feed requirements.
4. Optional: You can also map the [specification] or [related_product] attributes to provide ChatGPT with maximum technical and promotional context.
5. Save your changes and export the channel.

Perplexity Merchant Program

Perplexity doesn't have a native template yet, but you can use a custom channel with Google Merchant Center column names.

1. Email taz@perple§xity.ai to request access to their program.
2. Click the + button in the Channels column to create a Custom XML or Custom CSV channel.
3. Go to the Mapping section in the Data Transform column and map your attributes using Google Merchant Center headers (make sure to include your [intended_purpose] and detailed title mapping).
4. Send your active channel URL to Perplexity.

Note: Although Perplexity's official setup options mention technical delivery methods like SFTP or Amazon S3 buckets, you do not need developer resources. Since Perplexity uses the exact same format as Google Merchant Center, you can simply email them your SmartFeeds XML channel URL once they approve your merchant access.

5. Technical Formatting Rules

AI platforms are strict about data structure. Follow these rules to avoid export errors:

For XML Channels (Best Practice)

• You only need to enter your text in a simple Question:Answer format. You can check the exact formatting rules by hovering over the [q_and_a] attribute in your channel's column within the mapping section (Data Transform). Each attribute displays its own specific format on hover.
• No technical code required: Behind the scenes, search engines require a complex nested code format (using XML tags). Our templates automatically detect your plain text format and generate the required technical code for you during the export—no manual tagging or coding required on your side.

For TSV / CSV Channels (Spreadsheets)

Commas , and double quotes "" in your answers will break spreadsheet columns and fail the export.

• SmartFeeds Solution: Use a Replace formula (configured in the Data Transform column) to automatically strip commas and quotes from your Q&A text fields before exporting your channel.

Quick Answers to Common Issues

Why aren't my product highlights showing up in Google Gemini?

Check that you mapped [product_highlight] in your active export channel in the Channels column. If it is mapped correctly, wait a few days. Google can take time to index and display new attributes.

My TSV export is failing after adding Q&As. What should I do?

Punctuation like commas , or quotation marks "" inside your text breaks TSV columns. Use a Replace formula in the Data Transform mapping to remove these characters from your questions and answers.

Do I have to pay for Feed AI to use these attributes?

No. You can map and import these fields manually or with standard rules for free. Feed AI is just an optional tool to automate the writing process for large catalogs. You can Try feed AI for free, learn more about Feed AI.

Related Articles

For further assistance with SmartFeeds, consider reviewing these articles:

• Data Import
• Data Export
• Mapping

For additional help, feel free to reach out via our Contact Us page.