How to Get Your Products Into ChatGPT, Perplexity, and Google AI Shopping

TL;DR

There is no single “submit my store to AI” button.

To get your products surfaced across ChatGPT, Perplexity, and Google AI Shopping, you need three things working at the same time:

1. a catalog that machines can parse,
2. product pages that answer real buyer questions in text and markup, and
3. policies, reviews, and freshness signals that make the merchant feel trustworthy.

The platform details are different, but the common denominator is not. OpenAI’s commerce docs say merchants provide structured product feeds so products can be indexed accurately with pricing, availability, and seller context.¹ Shopify says Shopify Catalog already helps Shopify merchants appear more accurately across ChatGPT, Perplexity, and Google AI Mode, and that the merchants showing up consistently are the ones with product data that is accurate, complete, and structured so machines can read it.²³ Google’s Search docs say there are no special AI-only requirements for AI Overviews or AI Mode, but they also explicitly say important content should be available in textual form, structured data should match the visible page, and Merchant Center and Business Profile data should be kept up to date.⁴

That is the real answer.

If your products are still hard to parse, vague to compare, or unreliable on price, availability, shipping, and returns, you will not win by “being on the platform.” You will win by being the cleanest data source the platform can trust.

Why this matters now

AI shopping is no longer a side channel.

OpenAI’s shopping experiences now surface product results with richer detail and side-by-side comparisons of price, reviews, and features.⁵ Shopping research in ChatGPT can use merchant product data through ACP, publicly available product information, and other retail sources to build buyer’s guides and product comparisons.⁶ OpenAI also says Shopify merchants already benefit from Shopify Catalog for discovery in ChatGPT, with no extra setup required for that basic path.⁷

Shopify is pushing this even further. In its current AI shopping guidance, Shopify says Shopify Catalog automatically syndicates product data to connected AI platforms, including Perplexity, ChatGPT, and Google AI Mode.² Google AI Shopping now spans AI Mode, conversational discovery, and agentic checkout, and Shopify says complete, well-structured product data is essential for visibility in those experiences.⁸ Perplexity has its own shopping flow too: Perplexity’s official help docs say Instant Buy lets U.S.-based users search for and purchase products directly on Perplexity, with fulfillment still handled by the merchant.⁹

So the merchant question is no longer “Should I care?” It is “What is the cleanest route into each system, and what are the shared requirements I can fix once?”

The uncomfortable truth: the platforms are different, but your store is still the bottleneck

The ingestion routes are not identical.

• ChatGPT can use Shopify Catalog, ACP feeds, and publicly available retail pages.⁶⁷
• Perplexity can use its Merchant Program, connected commerce channels, reviews, structured data, and public site content.²⁹
• Google AI Shopping leans on classic Google Search eligibility, Merchant Center data, merchant listing markup, and now shipping and return policies shared through Search Console or structured data.⁴¹⁰¹¹

But merchants often over-focus on the route and under-focus on the data quality.

That is backwards.

If your title is generic, your GTIN is missing, your specs are trapped in a comparison image, your return policy is vague, or your price and availability drift between feed and page, the system does not care which pipeline you used. It sees a weak candidate.

How to get into ChatGPT shopping

For Shopify merchants, the baseline path is already live.

OpenAI says that for merchants on Shopify, product data is already integrated into ChatGPT through Shopify Catalog, helping products appear more accurately and completely in relevant user conversations, and that no additional work is required from individual merchants for that integration path.⁷

That does not mean no work is required to compete well.

What ChatGPT uses

OpenAI’s shopping research help page says the system may use:

• merchant product data provided through ACP,
• publicly available product information,
• and other relevant retail sources.⁶

It also says results are organic and based on publicly available retail sites, reading product pages directly, citing sources, and avoiding low-quality or spammy sites.⁶

OpenAI’s feed documentation is blunt about what structured data needs to do: merchants provide a structured product feed so ChatGPT can accurately index and display products with up-to-date price, availability, and seller context.¹ The “Get Started” commerce guide emphasizes sharing titles, descriptions, images, price, and availability through a documented schema and delivery model.¹²

What matters most for ChatGPT

If you want stronger inclusion and stronger comparisons in ChatGPT, fix these first:

• product titles that accurately match the landing page,
• clean descriptions that explain use cases and tradeoffs,
• complete images and variant details,
• reliable price and availability,
• seller identity and primary-seller signals,
• trustworthy return and warranty information,
• and structured fields that let the model compare products side by side.

OpenAI’s shopping flows are comparison-heavy now. The release notes say products can be compared side by side with price, reviews, and features.⁵ Shopping research can also return side-by-side tables and buyer guides that translate technical specs into practical implications.⁶

That means generic copy is poison.

If your page says “premium quality” but your competitor says:

• flat steel burrs,
• 40 grind settings,
• 58mm portafilter-friendly dosing cup,
• 2-year warranty,
• 30-day free returns,

the competitor is easier to recommend.

The ChatGPT checklist

For a Shopify merchant, the ChatGPT path should look like this:

1. confirm your catalog is healthy in Shopify,
2. make sure PDPs expose important facts in text, not only images or tabs,
3. validate that prices, stock, and variants are current,
4. strengthen merchant identity and official-seller signals,
5. expose clear policies and review proof,
6. and, where relevant, prepare a direct feed / ACP-quality export anyway so you own your structured source of truth.

That last point matters. “No additional work required” for discoverability is not the same as “no optimization needed.”⁷

How to get into Perplexity shopping

Perplexity’s commerce flow is more explicit about shopping and checkout than a lot of merchants realize.

Perplexity’s official help center says Instant Buy lets U.S.-based users search for and purchase products directly on Perplexity, with payment sent securely to the merchant and fulfillment still handled by the merchant.⁹ Shopify’s current guidance adds the merchant side: Perplexity requires joining its Merchant Program, while Shopify Catalog can syndicate product data to connected AI platforms and make listings discoverable in Perplexity results.²

What Perplexity appears to reward

Shopify’s Perplexity guide is one of the clearest public descriptions of what matters:

• accurate, complete product data,
• product identifiers like GTINs or MPNs,
• contextual descriptions,
• authentic reviews,
• FAQ content,
• and keeping data current.³

It also says Perplexity draws from customer reviews to build product cards, and that the quality and volume of reviews influence how products show up in results.¹³

This matters because it changes the content brief. Perplexity is not just matching keywords. It is assembling a product explanation.

The Perplexity checklist

For Perplexity specifically, a strong merchant setup includes:

1. joining the Merchant Program if you can,
2. ensuring Shopify Catalog / connected AI channel sync is clean,
3. filling required and recommended product fields,
4. adding GTINs or MPNs where applicable,
5. rewriting descriptions to be contextual, not manufacturer jargon,
6. adding FAQ content with FAQ schema where helpful,
7. improving authentic review quality,
8. and checking that pricing, availability, and shipping data stay current.²³

Shopify’s article also notes a practical distinction merchants often miss: for Perplexity, discoverability and checkout are not the same thing. A product may be discoverable through the connected data path, while checkout for Perplexity shopping is handled through PayPal’s Instant Buy rather than Shopify checkout.²

So if you are asking “How do I get in?” there are really two questions:

• how do I get surfaced, and
• how do I reduce friction once surfaced?

They are related, but not identical.

How to get into Google AI Shopping

Google’s answer is different from OpenAI’s and Perplexity’s.

Google Search Central says there are no additional requirements to appear in AI Overviews or AI Mode beyond foundational SEO and technical eligibility.⁴ But the same document is much more revealing than that headline suggests. Google explicitly recommends:

• allowing crawling in robots.txt and infrastructure,
• making important content available in textual form,
• making sure structured data matches visible text,
• and keeping Merchant Center and Business Profile information up to date.⁴

That is the real playbook.

The Google AI shopping stack

For ecommerce merchants, Google visibility now spans:

• Merchant Center product data,
• merchant listing structured data on the page,
• shipping and return settings,
• Search Console / Merchant Center diagnostics,
• and, for some merchants, Shopify’s feed sync and agentic checkout support.⁸¹⁰¹¹

Google’s merchant listing docs say Product markup can make a page eligible for merchant listing experiences such as shopping knowledge panels, Google Images, popular product results, and product snippets, surfacing details like price, availability, and shipping and return information.¹⁰

Google’s Merchant Center product data spec is explicit that product data is used to match your products to the right queries, and that if price or availability changes often, merchants need to keep that information fresh.¹⁴ It also says availability should match the landing page, checkout pages, and structured data, and that correct GTINs improve performance while missing GTINs can limit visibility.¹⁴

Google also expanded how merchants can submit shipping and return policies. As of late 2025, merchants can now provide shipping and return information either directly in Search Console or through organization-level structured data, even without a Merchant Center account.¹¹

The Google checklist

For Google AI Shopping, your minimum viable setup should include:

1. an indexable page eligible for Search snippets,
2. merchant listing structured data on product pages,
3. correct price, availability, and identifiers,
4. shipping and return information shared either in Search Console, Merchant Center, or structured data,
5. important content in text,
6. and a process for resolving diagnostics and disapprovals quickly.

Shopify’s current Google AI shopping guide adds another operational truth: common disapprovals include price mismatches, missing identifiers, generic images, and incomplete product data, and merchants should check feed health regularly so small issues do not compound.⁸

That is exactly where most stores fail. They think “set it and forget it” applies to product data. It does not.

The overlap: what all three platforms need from you

If you strip away the platform branding, the same requirements keep showing up.

This is why StoreSteady does not treat “ChatGPT optimization,” “Perplexity optimization,” and “Google optimization” as three separate jobs.

They are one data quality job expressed through three different interfaces.

The 12-field checklist merchants should pressure-test first

If you only have time to fix a few things, start here:

1. product title
2. brand
3. GTIN or MPN
4. accurate price
5. accurate availability
6. dimensions / materials / compatibility attributes
7. primary image and useful additional images
8. text-based spec table
9. review proof that is visible and credible
10. return window and return conditions
11. shipping cost / delivery timing clarity
12. merchant / brand / official-seller identity

A store can technically be “connected” to AI platforms and still underperform badly if these fields are weak.

The biggest mistakes merchants make

Mistake 1: thinking Shopify Catalog removes the need for cleanup

It removes the need for some setup. It does not remove the need for strong product data.

Mistake 2: confusing discoverability with recommendation quality

Getting indexed is not the same as winning the comparison.

Mistake 3: hiding key facts in images, tabs, or PDFs

Google explicitly says important content should be available in textual form.⁴ Shopify says AI shopping systems rely primarily on structured product data rather than visual inference.³

Mistake 4: treating policies as afterthoughts

Shipping and returns are part of merchant legibility now, not just support operations.¹⁰¹¹

Mistake 5: assuming one platform strategy works everywhere

The common data layer is shared. The surfaces and checkout flows are not.

Where StoreSteady fits

StoreSteady is built for the gap between “connected” and “recommended.”

• Replay shows which of these platforms can actually see and trust your products.
• Truth Graph turns your catalog, policy, review, and seller data into one consistent source of truth.
• Verified gives you canonical product facts that are clean enough for AI comparison.
• Fixes publishes the missing schema, specs, FAQ content, policy blocks, and feed exports back into Shopify.

The point is not to chase platform hacks. It is to make your store the easiest source to trust across all of them.

FAQ

Do Shopify merchants need to submit anything manually to appear in ChatGPT?

Not for the baseline Shopify Catalog discovery path described by OpenAI and Shopify. But that does not guarantee you will compare well or surface strongly.²⁷

Is Perplexity just crawling the web like Google?

Not exactly. Perplexity has shopping features, a Merchant Program path, and Instant Buy. It also relies on product data quality, reviews, and public content.²³⁹

Does Google require special “AI schema” for AI Overviews?

No. Google says there are no extra technical requirements specific to AI Overviews or AI Mode beyond core Search eligibility. But merchant data, crawlability, textual content, and markup quality still matter a lot.⁴

What matters most across all three?

Accurate titles, identifiers, structured attributes, freshness, policies, reviews, and seller legitimacy.

What should I audit first?

Your top 20 revenue-driving SKUs, your policy pages, and your structured data output.

Sources