What is ChatGPT Shopping optimization?

It is the work of getting your products recommended when shoppers ask ChatGPT what to buy. That starts with knowing where you stand, so LLM Pulse tracks which products appear for your category prompts, then points you at the feed and content fixes that move the results.

How does ChatGPT decide which products to recommend?

ChatGPT draws on product feeds, reviews, and the pages and third-party sources it trusts for your category. Weekly tracking shows which signals matter in your niche, because you can see which products rise after specific changes.

Does LLM Pulse track Amazon Rufus?

Yes, on Enterprise plans. Rufus joins Grok, Claude, Copilot, Meta AI, and DeepSeek in the extended model list, for 14 tracked models in total. Every plan covers ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode.

Can I check my shopping feed for free?

Yes. The ChatGPT Shopping feed checker is a free tool that reviews your product feed and flags the issues most likely to keep products out of AI shopping results.

How often do AI shopping results change?

Often enough to matter. Recommendations shift as models refresh their sources and feeds update, which is why LLM Pulse re-runs your product prompts every week and keeps every past answer for comparison.

How much does it cost to track AI shopping recommendations?

Plans start at EUR 49 per month with a 14-day free trial. Amazon Rufus tracking is available on Enterprise plans.

For Ecommerce and DTC Brands

Get your products into AI shopping recommendations

Shoppers now ask ChatGPT and Amazon Rufus what to buy. LLM Pulse tracks which products these assistants recommend for your category and shows you how to win the slot.

Start Free Trial

14-day free trial

Cancel anytime

Who holds the shopping slot this week

From a single purchase question to a whole range, see where your products stand each time the assistants restock the shelf.

Prompt Detail

The week a rival took your slot

Your best seller anchored the recommendation for months, then a competitor's product shows up mid-season. The full history of a shopper question dates exactly when the swap happened and what the assistant said, so trading reviews argue over dates, not impressions.

Date the week a product fell out
Watch a new launch enter the recommendation
Every past answer kept for comparison

Explore prompt tracking

Product Lines

Report by range, not one store number

A blended figure hides that trail shoes are winning while the winter line is invisible. Group shopper prompts by range, category, or seasonal campaign, and each merchandiser gets the shelf number for the lines they own.

Split visibility by range and category
Give seasonal campaigns their own scoreboard
Filter every report to one product line

Explore tags and collections

Shelf Share

Did the feed fix change the shelf?

You cleaned the feed and rewrote the PDPs, and now the question is whether the carousel noticed. Weekly mention trends run straight into the brand share breakdown, so the next run tells you whether the shelf shifted and by how much against competing catalogs.

Confirm feed fixes in the next weekly run
Track shelf share against rival catalogs
Tie share moves to the changes you shipped

Explore share of voice

Why Ecommerce Teams Track AI Shopping with LLM Pulse

Product-level tracking for the AI assistants that now sit between shoppers and your store.

Track the Product Carousel

See which products ChatGPT Shopping surfaces for your category queries and whether yours make the cut.

Monitor Rufus Answers

Enterprise plans track Amazon Rufus, so you know what Amazon's own assistant tells shoppers standing at the digital shelf.

Run Real Shopper Questions

Track the questions people type when they are ready to spend, from best running shoes for flat feet to cheaper alternatives to a rival product.

Measure Your Shelf Share

See what portion of AI product recommendations your catalog wins against competing brands, week by week.

Check Your Shopping Feed

The free ChatGPT Shopping feed checker flags the feed problems that keep products out of AI recommendations.

Read the Full Pitch

See the exact wording AI uses to describe your products, which claims it repeats, and which competitor it names next to you.

How AI Shopping Tracking Works

From feed check to weekly recommendation tracking in four steps.

1

Check Your Feed First

Run the free feed checker to clear the technical issues that block products from AI shopping surfaces.
2

Add Your Buying Prompts

Load the purchase questions shoppers ask about your category, your brand, and your best-selling lines.
3

Track Recommendations Weekly

Watch which products each AI assistant recommends, at what position, and next to which competitors.
4

Fix, Publish, and Re-Measure

Update feeds and product content, then confirm in the next run whether the carousel changed.

How Ecommerce Teams Use It

Real jobs merchandisers and growth teams run on AI shopping data.

Land in the Carousel

Find the category queries where your products are missing and fix the feed and content behind them.

Defend Best Sellers

Watch the prompts that drive your highest-margin lines and catch a rival taking the slot early.

Vet New Product Launches

Confirm AI assistants can see and describe a new product correctly within weeks of launch.

Brief the Trading Team

Report AI shelf share next to marketplace rankings in weekly trading reviews.

"LLM Pulse is an essential tool for anyone needing to track visibility in LLMs. The platform works seamlessly, and the team is highly professional and responsive. It brings much-needed light and structure to the often unpredictable context of AI visibility. Highly recommended."

Jorge Tarancón

t2ó

Frequently Asked Questions

Common questions about getting products recommended by ChatGPT Shopping and Amazon Rufus.

: It is the work of getting your products recommended when shoppers ask ChatGPT what to buy. That starts with knowing where you stand, so LLM Pulse tracks which products appear for your category prompts, then points you at the feed and content fixes that move the results.
: ChatGPT draws on product feeds, reviews, and the pages and third-party sources it trusts for your category. Weekly tracking shows which signals matter in your niche, because you can see which products rise after specific changes.
: Yes, on Enterprise plans. Rufus joins Grok, Claude, Copilot, Meta AI, and DeepSeek in the extended model list, for 14 tracked models in total. Every plan covers ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode.
: Yes. The ChatGPT Shopping feed checker is a free tool that reviews your product feed and flags the issues most likely to keep products out of AI shopping results.
: Often enough to matter. Recommendations shift as models refresh their sources and feeds update, which is why LLM Pulse re-runs your product prompts every week and keeps every past answer for comparison.
: Plans start at EUR 49 per month with a 14-day free trial. Amazon Rufus tracking is available on Enterprise plans.