04 · GEO · E-commerce · Automation

Automated GEO optimization for an online store

A large online retailer was barely visible in AI-powered search systems — despite good Google rankings. As the share of AI search grew, it was missing out on qualified traffic.

GEO
OpenAI API
JSON-LD
n8n
Google Search Console API

3×
more mentions in Google AI Overviews: +29%
traffic from AI-powered searches: 800 pages
optimized automatically in 3 days

01 · Problem

An online retailer with more than 15,000 product pages ranked well in classic Google searches — but was all but invisible in ChatGPT, Perplexity and Google AI Overviews. As AI searches made up a growing share of total traffic, the retailer was increasingly losing qualified visitors to competitors that had bet on GEO earlier. Manually optimizing thousands of pages was feasible neither economically nor in terms of time.

02 · Solution

vona built a fully automated GEO pipeline: the 800 highest-traffic product pages were identified and prioritized via the Google Search Console API. The Claude API then generated page-specific, optimized JSON-LD structured data (Product, BreadcrumbList, FAQPage), E-E-A-T-compliant meta descriptions and semantically precise content snippets that AI search systems recognize as citable. An n8n pipeline automated the entire process — from analysis through generation to pushing the results straight into the store's CMS.

03 · Result

800 pages were fully optimized in 3 days — something that would have taken several months by hand. After 8 weeks: three times as many mentions in Google AI Overviews, 29% more traffic from AI-powered search queries. Structured data is in place on 100% of the prioritized pages. The pipeline keeps running and automatically optimizes newly listed products.

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