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How to get your products suggested by AI assistants (GEO explained)

Shoppers ask AI assistants what to buy. Learn what generative engine optimisation is, what helps AI tools cite your store, and what no one can promise.

By Orvexa TeamUpdated 3 min read
Trays of colourful decorative ornaments in Jaipur
Photo: Ninara, CC BY 2.0 · All photo credits
Key takeaways
  • AI assistants build answers from web pages, shopping data, reviews and mentions, so the basics of good SEO still apply
  • Clear product facts, structured data, crawler access and trustworthy reviews improve your chances
  • No one can guarantee a recommendation, so measure and keep improving

More shoppers now ask an AI assistant "what is the best handloom saree under ₹5,000?" instead of searching. If your products are clear, credible and easy to read, they have a better chance of appearing in the answer. This is sometimes called generative engine optimisation (GEO).

How assistants find products

Assistants draw on a mix of sources, depending on the tool: web pages they can crawl or search, product feeds and shopping data, reviews and discussions, and brand mentions across the web. They then summarise. They favour information that is specific, consistent and from trustworthy sources.

What you can do

1. Make your pages easy to read

  • Clear product names and descriptions with concrete facts: materials, sizes, price, who it is for.
  • Consistent naming across your site and listings.
  • Fast, accessible pages, so that crawlers can load them (Core Web Vitals).

2. Add structured data

Product, offer and review markup states your facts in a machine-readable way (schema guide).

3. Allow the crawlers you want

Check your robots.txt. Some AI-related crawlers have their own names, and blocking them keeps your pages out of their data. Decide deliberately (robots guide).

4. Describe yourself clearly

Write a strong About page and an llms.txt file (what it is). State where you ship, how returns work and what makes your products different.

5. Earn credible mentions and reviews

Assistants lean on what others say. Collect genuine reviews (guide), get listed in relevant directories, and work with creators and publications that cover your category.

6. Answer questions people ask

Add FAQs and short guides: sizing, care, gifting, comparisons ("khadi vs cotton"). These are the questions assistants answer.

7. Keep price and stock accurate

If an assistant cites a price that is out of date, the customer loses trust in you. Keep data current, and consider a product feed as shopping integrations mature.

What you cannot control

Each assistant has its own sources and rules. They can change quickly, and they may not show links at all. Anyone who promises a guaranteed AI ranking is overselling.

How to measure

  1. Ask the assistants. Once a month, ask several tools your key questions and note whether you appear and what they say about you.
  2. Check referral traffic in your analytics for visits from AI tools.
  3. Watch brand searches, which often rise when people hear about you.

What to do next

Pick five questions a customer might ask about your category, ask two AI tools, and read the answers. Note which facts they got wrong, and fix the pages they likely learned from.

Frequently asked questions

Is GEO different from SEO?

It overlaps a lot. Strong SEO, clear content and good structured data help both. GEO adds attention to how assistants summarise and cite sources.

Should I block AI crawlers?

That is a business decision. Blocking keeps your content out of their systems but also reduces the chance they mention you. Many stores allow them.

Can I pay to be recommended?

Some assistants and shopping surfaces offer advertising or feeds. Organic recommendations cannot be bought, and any claim otherwise deserves caution.

Topics:geoai searchai assistantsproduct discoveryseo

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