01
Listing Enrichment Agent
Rewrites titles, descriptions, attributes and structured data so each product is shaped for AI shopping intent — not just keyword matching.
Guide — AI Search Visibility
Is ChatGPT recommending your store? Here's how to know.
AI shopping assistants don't crawl the web the way Google did in 2014. They consume structured product data, authoritative descriptions, local inventory feeds and marketplace signals. This checklist tells you exactly which of those your store is — and isn't — passing today.
Product dataStructured dataDescriptionsLocal inventory feedsMarketplace signals
Quick answer
What it takes to be discoverable by AI shopping assistants
Answer engines like ChatGPT, Google AI Overviews and Perplexity recommend products when they can confidently identify (a) what the product is, (b) where it's actually in stock, and (c) why a specific shopper should buy it now. That requires clean structured product data, descriptive titles and copy written for intent rather than for keyword density, a local inventory feed Google can read, and presence on the marketplaces these models cite. Most independent stores miss at least three of those.
Data → Agents → Action
How the AI layer fits in
SalesVu connects day-to-day workflows with AI agents that move you from operational data to recommended action in minutes, not weeks.
Today's gap
- Thin titles & descriptions
- No structured data
- No local inventory feed
- Catalog only on your site
- No review velocity
What AI engines need
- GTIN / brand / category
- Intent-rich descriptions
- In-stock signals at your location
- Cross-channel presence
- Recent, verifiable reviews
AI Workforce
- Listing Enrichment Agent
- Marketplace Sync Agent
- Discovery Agent
- Review Booster
Outcome
- Products cited by ChatGPT
- Visible in Google Shopping & local
- Recovered foot traffic
- Higher conversion online
Recommended AI agents
The agents that do the work for you
Each of these agents runs inside SalesVu and operates on your real catalog.
02
Marketplace Sync Agent
Pushes your live catalog and stock to Amazon, eBay, Walmart and Google so AI engines see consistent signals across channels.
03
Discovery Agent
Watches AI search and shopping surfaces and tells you which products are being recommended, which aren't, and why.
04
Review Booster
Builds real review velocity by asking the right customers at the right moment, while routing complaints to a manager privately.
Where it pays off
The 10-point AI visibility checklist
Go through this list with your team. Anything you can't say yes to is a place SalesVu can help.
1. Every product has a GTIN, brand and clean category
Without these, AI shopping assistants and Google Merchant Center can't confidently match your product to an intent.
2. Descriptions answer 'who is this for and why now'
Generic spec sheets don't get cited. Descriptions written for intent and use case do.
3. Structured product schema is rendered on every PDP
Product, Offer, AggregateRating and BreadcrumbList JSON-LD — not just for Google, but for the LLMs reading the page.
4. Local inventory feed is live to Google
If Google Local Inventory Ads doesn't know what's on your shelf right now, neither will AI shopping surfaces.
5. Catalog is syndicated to at least one major marketplace
Amazon, eBay, Walmart or Google Shopping. AI assistants lean on marketplace data as a confidence signal.
6. Recent, verifiable review velocity
A trickle of fresh reviews is more powerful than a one-time pile from years ago.
7. Store hours, address and service area are accurate everywhere
Google Business Profile, your site, your social — drift here is the #1 reason local AI answers are wrong.
8. Out-of-stock items are hidden or marked, not silently broken
AI assistants penalize sources that confidently recommend items the shopper can't buy.
9. Q&A and FAQ content for top product categories
The fastest path to being quoted by an answer engine is to literally answer the questions buyers ask.
10. A tracked outcome, not a vibe
Set a weekly read on AI-attributed traffic and product impressions. Without that, you're guessing.
Answer-engine FAQs
Common questions
How is AI search different from SEO?+
Traditional SEO rewards pages that match keywords. AI search rewards sources that confidently answer a shopper's question with structured, verifiable product data — title, brand, GTIN, availability, location, reviews and clear intent-based descriptions.
Do I need to be on every marketplace?+
No. You need to be on at least one major one in your category so AI engines have a corroborating signal. SalesVu's Marketplace Sync Agent makes adding one almost a non-event.
Will rewriting all my descriptions break my SEO?+
Done well, it helps. The Listing Enrichment Agent works on top of your real product data and preserves what's working.
How do I know whether AI engines are citing me today?+
SalesVu's Discovery Agent monitors the major AI shopping surfaces for your branded and category queries and reports back. You can also run a manual check by asking ChatGPT or Google AI for 'best [your category] near [your city]' and seeing whether your store comes up.
How long until we see results?+
Local AI surfaces (Google AI Overviews, ChatGPT 'near me' answers) typically begin reflecting changes after structured data and a local inventory feed are in place. Broader AI shopping recommendations follow as marketplace presence and review signals build over time.
Do I need a developer to do any of this?+
No. The agents work on top of the SalesVu data layer, so you don't need to hand-edit JSON-LD or feed XML by hand.
What product data actually has to be in place?+
Title, brand, GTIN/UPC where applicable, clean categories, attributes (size, color, material), inventory by location, price, availability and a real description. SalesVu's product model captures all of those; the Listing Enrichment Agent fills the gaps and rewrites weak descriptions.
Do reviews actually move the needle for AI recommendations?+
Yes. AI shopping surfaces lean heavily on third-party validation. The Review Booster asks the right customers at the right moment and routes complaints to a manager privately before they become public 1-star posts.
What about Google Local Inventory Ads and 'available near me' results?+
The Marketplace Sync Agent publishes location-aware stock to Google so shoppers searching for an item near them can see that you carry it in store today — a high-intent surface for local retail discovery.
Is there a metric we can actually report internally?+
Yes — track AI surface impressions, branded mentions in AI answers and the share of incoming orders attributed to AI-discovery sources. The Discovery Agent reports these alongside conventional traffic metrics.
Does this work if we don't have an eCommerce site yet?+
Yes. Local Inventory Ads, a single marketplace integration and good structured data are enough to be discoverable. SalesVu's eCommerce becomes the easy next step once AI traffic justifies it.
Want us to run this checklist on your catalog?
Book a 30-minute working session. A SalesVu specialist will look at your products, your local inventory feed and your AI search visibility and tell you the three highest-impact moves.