When AI recommends brands, it often draws on review articles, comparison posts, forum discussions, marketplace reviews and media coverage, not only your own website. So besides a clear website, you need to know which sites AI reads, whether you're on them and whether the details are right. Start by finding the sites AI relies on with a check, then see where you're missing on each, fill gaps with real information and measure regularly with the same questions. Don't buy reviews or write fake comparison posts; these carry risk and make AI and shoppers trust you less.
Which sites AI draws on
| Type of site | What AI reads there | What you can do |
|---|---|---|
| Review articles and blogs | Hands-on impressions, pros and cons | Provide samples or accurate specs; the author decides what to write, and partnerships must be disclosed |
| Comparison posts | Several brands side by side | Check that your specs, price range and where to buy are correct |
| Forums and social discussions | Real buyers' questions and complaints | Answer questions openly and honestly, and handle after-sales well |
| Marketplace reviews | Ratings and review text | Ask real buyers to leave reviews and reply to good and bad ones alike |
| Media coverage | Brand story and news | Announce only when there's real news, with accurate details |
First find out which sites AI read
Guessing isn't reliable. The five-platform check in GEO by TriloAI runs questions shoppers ask across ChatGPT, Gemini, Perplexity, Google AI Overviews and Claude at once, and the report lists the sites AI relied on. Sort them into three groups: sites that include you with correct details, sites that include you with outdated details, and sites that don't mention you at all.
Fix outdated details first
Old specs, discontinued products and wrong places to buy cause more trouble when AI quotes them than if nothing were written. Start with the sites that include you with outdated details: change what you control first (such as your marketplace product pages and brand profile); for articles written by others, politely provide correct information and ask the author to consider updating it. Whether they update it is their call.
What about sites that don't mention you
First ask whether the topic of that site really fits your product. If it does, put clear specs, who it suits and FAQs on your website so review writers and AI can find the information; disclose any partnership honestly. Don't buy reviews or post recommendations from fake accounts; this may break the rules and hurts the brand if found out.
Keep brand details consistent everywhere
AI pieces together information from different sites. If your website uses one brand name, a marketplace uses the English name and a review article uses an old name, AI may treat them as different brands, or take old details as current. Keep the brand name (in Chinese and English), main product names, specs and where to buy the same on your website, marketplaces and social media; when you rename something or discontinue a product, go back and update the places you control.
How to measure
- How often you're mentioned: check 5 AI platforms regularly with the same questions and count the questions you appear in
- How you're mentioned: recommended, compared or mentioned in passing, and whether anything is wrong
- Sites AI relies on: which ones start to include you and which details have been updated
- Changes on your website: people searching for your brand name, and orders and inquiries from the website
Each platform updates at its own pace, and changes usually take a few weeks to show. Keep the questions the same, or you can't compare; record no change as no change.
The short version
When AI recommends brands it looks at everything online about you; find out which sites it reads, fix what's outdated, fill what's missing, and measure regularly with the same questions.
Frequently asked questions
- Does hiring bloggers to write reviews help with AI recommendations?
- It may or may not, depending on whether AI relies on those sites. Partnerships must be disclosed honestly, the author decides the content, and you shouldn't ask for claims that aren't true.
- Can we offer discounts for five-star reviews?
- We don't recommend it. Trading perks for good reviews makes them less genuine and may break platform rules and regulations. Ask real buyers to leave reviews and reply to good and bad ones alike.
- A comparison post lists my specs wrong. What can I do?
- Politely contact the author with the correct details and a source, and ask them to consider updating it. Whether they do is their call; what you can do is keep your website's information clear and correct so AI has reliable details to compare against.
- How do I know which sites AI relied on?
- Use the five-platform check in GEO by TriloAI. The report lists the sites AI relied on, which brands you lose to and the three things to do first.