Why isn't AI recommending my product?

What a missing recommendation tells you — and what it does not

AI assistants answer with a short list of named products, and none of them publish why one product was included and another was not. Reading a reason into the absence is guesswork. What you can work on is the information the assistant had to go on, and whether it is complete, consistent and backed by sources.

Results also move around. The same question can produce different answers on different days, in different regions and in different search modes. One answer that leaves you out is not evidence of a problem; a pattern across several checks is worth looking into.

Product-information issues worth checking

These are the things you can confirm for yourself, roughly in the order they stop a machine from using your product facts:

• The page cannot be fetched or read. robots.txt or bot protection blocks the crawlers you care about, or the key facts live only in images, PDFs or content that loads after a click.
• The attributes buyers compare on are missing. Size, capacity, compatibility, material, use conditions — present as text, and clear about which variant each number applies to.
• Claims have no source that matches this model. “Best-in-class” and “premium quality” cannot be checked by anyone. A test report for the previous model does not cover this one.
• Price, availability or terms are out of date. They should agree with your checkout and your policy pages, and with any feed or marketplace listing.
• Product identity differs between places. Brand, model and variant names that do not match across your page, your feed and your listings make it hard to tell that they are the same product.
• The page does not answer the question being asked. Including who the product is not for, which is often what a buyer is trying to rule out.

Where you cannot confirm something yourself, record it as unknown rather than filling it in with a guess. See the product data checklist for how to run through these one product at a time.

Related: why AI cites Amazon instead of your page · how Hasmord compares to other tools · ChatGPT shopping checklist · what Answer Engine Optimization means.

How to check it

1. Check one product page. Paste the URL into the free check. It reviews the page using Hasmord's own framework; it is not a score assigned by ChatGPT, Google, or another AI provider.
2. Read the findings. Missing, conflicting and unconfirmed are different problems with different fixes. Decide which to change first.
3. Make the changes. Hasmord drafts improvements; someone on your team approves them before anything is published, and approved changes can be rolled back.
4. Run AI answer checks. Realistic buyer questions are sent to AI models through their APIs, and the answer text is saved with its model and date, so you can compare the same questions later.
5. Keep unknowns as unknowns. If the information is in order and the product still does not appear, the reason is not published. Record what you checked, and keep watching the pattern rather than a single answer.

Start with the information you can improve

You can check one product URL free, see what is missing or unclear, and decide what to change. Plan limits for larger catalogs are on the pricing page.

Frequently asked questions

Why isn't AI recommending my product?

No AI assistant publishes why a particular product was left out, so the reason cannot be read from the outside. What you can check is your own product information: whether the page can be fetched and read, whether the attributes buyers compare on are present, whether claims have sources that apply to this model, and whether price and availability are current.

How do I find out what to fix?

Run a product-information check on the URL. It uses Hasmord's own six-dimension framework — it is not a score assigned by ChatGPT, Google or another AI provider — and lists what is missing, conflicting or unconfirmed. You can then run AI answer checks on realistic buyer questions and keep the answer text, with its model and date, to compare over time.

Can I do anything about it, or is it up to the AI?

The information is yours: complete attributes, sources that match the product and model, current commercial details, and a page a machine can read. Whether an assistant names your product is its own decision, and that decision is not published.

Is this different from SEO?

It overlaps. SEO works on ranking a page in a list of links. Answer Engine Optimization (AEO) is the name the industry gives to preparing product information for assistants that answer a buyer directly. Hasmord works on the product information underneath it.