Structured data, entity clarity, and citations that get you cited by ChatGPT and Gemini.
Get Your Free ScanAI models like ChatGPT and Gemini don't crawl your site the way Google does — they answer from a web of structured product data, clear entity signals, and third-party sources they already trust. Most D2C sites were built for human browsing, not machine-readable clarity: no schema markup, no FAQ content answering the exact questions buyers ask, no citations on the sites AI models actually trust. So when someone asks "what's the best [category] brand," the model has nothing solid to point to — and defaults to whoever's competitor already did the structural work.
We map 8–12 buyer queries you should be found for, and your current status on each.
Product, FAQ, and Organization schema implemented across product and key pages.
Rewriting About/product pages so AI systems can confidently describe and recommend the brand.
Getting cited on 2–3 third-party sources AI models trust — review sites, comparisons, relevant directories.
An llms.txt / AI-readability feed for your site — the same setup Yogreet runs on itself.
Five workstreams, run every month:
Technical audit, indexing, structured data, speed, tracking.
Product and collection pages first.
Refreshes and new articles from researched briefs.
Answer-first pages, tracked on buying questions.
One monthly scorecard led by organic revenue.
Organic revenue and purchases from your own GA4, clicks from Search Console, and AI answer share of voice. Targets are agreed in writing on fixed definitions, then reported every month.
See the method with real numbers: our ecommerce SEO case study (organic revenue +37%, 926K AI answer impressions in 3 months), including a live monthly scorecard.
Backlinks that carry weight, not just a bigger number: mentions and links on Reddit, from social influencers your buyers follow, and from strong blog writers with real readers. Search engines and AI assistants both weigh where a mention appears and who stands behind it.
Social currency: listings and reviews on Reddit and other popular platforms, so the places buyers check you out before they buy say something worth reading.
See how credible backlinks work →Before: A skincare D2C brand had strong Instagram engagement but was invisible in AI search — three competitors showed up, they didn't.
What we did: Structured their product data, content, and entity signals so AI systems could confidently cite them as a trusted, specific answer.
After: Now appears as a recommended option in AI-generated answers for their core queries — visibility earned for free, every time someone asks.
Yes — the process is category-agnostic; we tailor the target queries and citations to your specific space.
Traditional SEO targets search-engine rankings; GEO/AEO targets how AI models cite and recommend brands directly in conversational answers.