01
AI recommends competing products
A buyer asks for a coffee machine under a specific budget with reliable after-sales support. AI recommends suitable alternatives, while your range is missing from the shortlist.
GEO by industry / Online stores and marketplaces
GEO optimization for online stores and consumer brands
An AI assistant recommends your product, yet the customer buys the same model on a marketplace. I help online retailers and manufacturers understand how AI answers select products, merchants and offers, then plan improvements to the website and the evidence available online.
I study actual customer questions: what to buy, which brand fits the need, and where to order a specific SKU. Product facts, price, availability, warranty, service and cited sources are checked before priorities are agreed.
- SEO, online retail and digital marketing experience since 2008
- Author of the PRR, SCR, RAR, RRR and PPSR measurement framework
- Personally review real answers from multiple AI interfaces
Challenges for retailers and marketing directors
The product is recommended. Which merchant receives the order?
A product mention does not establish who captures the sale. Manufacturers also need to know whether AI connects a suitable product to its brand and to the right purchase options.
02
The product appears without your store
AI recommends a relevant SKU, but customers look for a seller separately. Warranty, service and shipping benefits of your online store may never enter the decision.
03
An incorrect variant drives the price comparison
Different sizes, packs or models appear in the same comparison. A broad marketplace category page may be mistaken for the price of an exact SKU.
04
Your advantages lack verifiable evidence
Delivery, support, loyalty benefits and merchant warranties influence buying decisions when facts are accessible through your site and credible third-party sources.
The objective is to improve relevant product recommendations and give buyers a well-grounded merchant comparison, measured against actual AI answers and business outcomes.
From GAEO research · anonymized retail audits
What initial audits reveal about lost recommendations
Two separate diagnostic projects examined consumer electronics and everyday retail products. The observations below are anonymized and represent baseline findings. Client identities and commercial details are withheld.
2 audits
Different product businesses, questions and recommendation contexts
SKU
Exact product, merchant, verified price, availability and delivery
E2
Baseline diagnostic evidence; implementation outcomes are tracked separately
Findings from the diagnostics
- In one retail audit, product categories differed markedly in brand mentions and shortlist presence.
- In another, an AI assistant quoted a marketplace price supported only by a broad category link. The exact SKU price had not been established.
- Some marketplace offers genuinely win on value. The resulting work should focus on real strengths and accurate information.
The original samples used different questions and methods, so they are kept separate. These are baseline observations, with no claim of resulting revenue growth.
The customer journey
Where product and merchant recommendations can fail
A question set covers the buyer journey from selecting a suitable item to finding the right seller and offer. Each stage is measured separately.
| Buyer's question | What I check in the AI answer | What your team receives |
|---|---|---|
| Which product solves my problem? | Product fit, technical features, use cases and limitations | Priority buyer scenarios and product-content briefs |
| Which brand should I choose? | Whether the relevant brand appears in context | Brand comparison findings and evidence gaps |
| Where can I buy this model? | Merchant visibility and reasons for recommending a seller | A review of retailer facts and cited sources |
| Where is this exact SKU a better offer? | Matching model, verified price, delivery, warranty and availability | Work briefs for Product/Offer, feeds and merchant terms |
| How do I complete the order? | Whether buyers can reach the appropriate product offer | Recommendations on purchase flow and conversion tracking |
Alexey Yakovlev's measurement framework
Five GEO metrics for online retail
Brand Mention Rate is useful, but it cannot describe the entire purchasing decision. These five author-defined indicators evaluate how AI progresses from product selection to a retailer recommendation.
Product Recommendation Rate
Frequency with which the target product or range is recommended.
Seller Criterion Rate
Whether AI independently adds criteria for choosing a seller.
Retailer Association Rate
Whether the relevant merchant is linked to the right benefit.
Retailer Recommendation Rate
Direct inclusion of a merchant among purchase options.
Price Premium Survival Rate
Whether the recommendation holds when the exact item is cheaper elsewhere.
The sample, measurement rules, price comparisons and observation dates are agreed before the baseline is calculated. Conversion and order data help interpret the result.
Read the published methodology (Russian)How I work
Six stages of GEO for online stores and brands
I begin with commercial product queries and actual AI answers, then work through catalog data, buyer-focused pages and evidence sources. The plan reflects your business model and available resources.
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Measure the baseline
Test unbranded product searches, brand and model comparisons, pricing and seller selection across agreed AI interfaces.
Deliverable: prompt matrix, baseline answers and competitor set.
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Map product and seller choice
Classify product recommendations, incorrect SKUs and prices, cited sources and merchant advantages.
Deliverable: buyer-journey diagnosis and prioritized gaps.
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Audit catalog information
Check identifiers, Product/Offer data, stock, shipping, pricing, warranty and accessibility for search crawlers.
Deliverable: technical briefs for the catalog and feeds.
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Design intent-focused pages
Choose buyer tasks that deserve a stable page with useful selection guidance and maintainable product offers.
Deliverable: page structures and content specifications.
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Strengthen credible sources
Identify relevant specialist publications, comparison services, reviews and catalog references based on verified facts.
Deliverable: a sourcing and editorial action plan.
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Repeat comparable measurements
Track PRR, SCR, RAR, RRR, PPSR and accuracy using the same question set, with referral and order data where available.
Deliverable: a progress report and the next priorities.
See which stores AI suggests for your product queries
Audit product and retailer recommendations We can start with a small set of important categories and real buyer questions.
What you receive
Actionable work for marketing and e-commerce teams
The scope is tailored to the range, sales channels and implementation capacity. Marketing and development teams take part in the review.
- Product and merchant question matrix with original answers and competitors
- Reviewed product and seller recommendations with traceable citations
- A list of discrepancies in SKUs, prices, stock and merchant conditions
- Website briefs covering product pages, structured data and buyer scenarios
- A publication plan and comparable follow-up measurements
Business models
One commercial framework, four different retail needs
Multi-brand online retailers
Improve inclusion in merchant comparisons for exact SKUs, shipping, warranty, support and available stock.
Manufacturers and product brands
Analyze brand and model recommendations, then verify the purchasing options buyers receive.
Marketplace-first sellers
Build recognition in AI-generated product advice while improving trustworthy product descriptions and external evidence.
Manufacturers with B2B orders
Study supplier selection, bulk purchasing, customization and corporate procurement questions.
Pricing
GEO audits and ongoing optimization for online retail
A focused audit of priority products and channels comes first. Then we agree the work on catalog data, editorial content, third-party evidence and measurement.
Full GEO audit
RUB 29,900
- Up to 50 questions and 7 AI interfaces
- Mention, recommendation and source analysis
- A prioritized report and work plan
GEO optimization
from RUB 49,900/month
- Strategy, briefs and catalog recommendations
- Implementation and publication review
- Repeat measurements on the agreed question set
GEO + content
from RUB 79,900/month
- Ongoing GEO optimization
- Buyer-scenario and expert content
- Editing and publication coordination
GAEO's published base prices. Exact scope depends on product categories, languages and catalog complexity. Current GAEO rates.
Who is responsible for the work
Alexey Yakovlev
Independent GEO/AEO consultant
I have worked in SEO, online marketing and e-commerce since 2008. I personally research AI answers, plan source and website improvements, and authored published work on product choice, merchant recommendations and agentic commerce.
Professional biographyFAQ
Frequently asked questions about e-commerce GEO
How does GEO help an online store generate orders?
The audit identifies which products AI recommends and how it chooses merchants. We review catalog facts, prices, cited sources and the path to a sale, then compare later results with available referral, inquiry and order data.
What if a marketplace sells the same SKU for less?
Some shoppers value warranty, after-sales service, reliable delivery and product guidance. The advantages must be real and documented. If a marketplace wins on the important purchase conditions, the business may need to improve its commercial offer.
Should product brands work on both their website and marketplace offers?
The right balance depends on the business model. Brands first need to appear in relevant product recommendations; buyers then compare current offers from different sellers. Both steps can be measured.
Which catalog improvements matter for GEO?
Consistent identifiers, complete specifications, Product/Offer data, current prices and stock, shipping and warranty terms, and crawlable product details. Buyer-scenario pages should include maintained recommendations and accurate product references.
What do PRR, SCR, RAR, RRR and PPSR measure?
They are five additional metrics in my published framework: product recommendations, seller criteria, correct benefit-to-merchant association, retailer recommendations and recommendation stability when competing offers cost less.
How quickly can e-commerce GEO deliver results?
Baseline answers can be documented during the initial audit. Changes depend on competition, data quality and the speed of website and source improvements. Follow-up measurements use comparable prompts and methods; AI recommendation positions cannot be guaranteed.
Next step
Find out where AI recommends buying your products
Share your online store, priority categories and sales channels. I will review representative buyer questions and recommend the next diagnostic steps.
Direct consultant contact, verifiable evidence and an agreed measurement approach.