Quick answer
The GEO method is the same in every category: find the buying questions users really ask, see which sources AI cites when answering, state the brand's key facts clearly where those sources can read them, then retest. What differs is "what users ask" and "what AI relies on to judge". Appliance buyers look at specifications and use cases, beauty buyers at ingredients and skin type, car buyers at range and charging, parents at safety standards. Work out these two things for your category first, then decide what to write and where to publish it.
Details
What works in every category
- Collect real buying questions from customer service logs, marketplace Q&A and social media comments, without the brand name in the questions.
- Ask them with web search on across the main AI platforms, recording who is recommended, why, and which sources are cited.
- Compare the recommendation reasons with your site, product pages and official accounts: do they state the same dimensions clearly?
- Fill in whatever is missing; if third-party reviews leave you out, work on influencing those sources.
- Retest under the same conditions and look at the change.
What users care about by category
| Category | What users often ask | What AI often relies on | What the brand should state clearly |
|---|---|---|---|
| Home appliances | Which is good at this price, will it fit a small flat, how much power does it use | Specifications, size, energy efficiency, after-sales, review conclusions | Model specifications, use cases, price range, warranty policy |
| Phones and electronics | Which is strongest for camera, battery or value | Specifications, reviews, launch information | Spec sheets, differences between versions, launch dates |
| Beauty and skincare | Is it safe for sensitive skin, what does this ingredient do | Ingredients, efficacy claims, reputation | Full ingredient list, suitable skin types, compliant efficacy wording |
| New energy vehicles | Range, charging, model comparisons, running costs | Official specifications, media reviews, owner reputation | Configurations and specifications by version, price, charging options |
| Food and beverages | Is it healthy, what is in it, who is it for | Ingredient lists, nutrition facts, reputation | Ingredients and nutrition, target consumers, certifications |
| Mother and baby | Is it safe, which age is it for, how to choose | Safety standards, ingredients and materials, expert advice | Applicable standards, suitable age in months, materials and test reports |
| Apparel, shoes and bags | Sizing, materials, which occasions | Materials, fit, reviews | Size charts, fabrics, care, occasions |
| Home furnishing and building materials | Environmental grade, durability, installation | Standard grades, reviews, cases | Environmental and quality grades, specifications, service scope |
| Education and training | Results, teachers, price, who it suits | Course descriptions, reputation, qualifications | Course structure, qualifications, fee model, target learners |
| Travel and hotels | Is it worth it, location, price | Reviews, guides, official information | Location and transport, facilities, price range, policies |
| Restaurant chains | Which place nearby is good, average spend, signature dishes | Reviews, store information | Store addresses and opening hours, signature dishes, average spend |
| Games | Is it fun, hardware requirements, how pay-to-win is it | Reviews, community discussion, official announcements | Gameplay description, hardware requirements, payment model |
| Pets | Which age is this food for, are the ingredients safe | Ingredients, life stage, reputation | Ingredients and nutrition, suitable age and size, applicable standards |
The table lists common concerns, not any platform's rules. For your category, go by the real questions you collect and test.
Common pitfalls
- Writing only on your own site: recommendation questions often cite third-party reviews, and a brand speaking only for itself rarely becomes a recommendation reason.
- Information hidden in images: if spec sheets and prices exist only as images, models may not read them.
- Exaggerated claims: words like "first", "best" or "cure" break advertising rules and lower credibility, especially in regulated categories.
- Inconsistent channels: when the site, marketplaces and distributors give different specifications and prices, AI may adopt the outdated one.
Common questions
Q: What do users rely on when they ask AI to choose home appliances?
A: Common bases are specifications, size, energy efficiency, after-sales and third-party review conclusions. The most accurate way to know is to test your category questions and see which sources the answers cite.
Q: What should mother-and-baby brands watch out for in GEO?
A: Safety and compliance come first: state applicable standards, suitable age and material testing clearly, and avoid exaggerated or medical-sounding efficacy claims.
Related facts
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