Case studies
Results from scientific and large-catalog brands
Every study below is a placeholder layout. Replace the brand, numbers and narrative once a client approves publication. Anonymized versions (‘A recombinant protein supplier with 18,000 SKUs’) are fine where approval is pending.
[XYZ: Beta LifeScience]
[XYZ: +214%]
organic revenue in 12 months
A recombinant protein and antibody catalog with [XYZ: 18,000] products, 40% indexed at the start.
- Programmatic product templates with spec tables and FAQ schema
- Target and application hub architecture
- Datasheets liberated from PDF
- [XYZ: Result detail 1]
- [XYZ: Result detail 2]
[XYZ: MuseChem]
[XYZ: 9,400]
new pages indexed in 90 days
A metal-derivatives catalog losing crawl budget to faceted URLs.
- Facet and parameter rules
- CAS-number landing pages
- Sitemap segmentation and log monitoring
- [XYZ: Result detail 1]
[XYZ: Client 3]
[XYZ: 4.6×]
ROAS on catalog-number campaigns
A lab-supply store with [XYZ: 3,100] Shopping disapprovals and no competitor coverage.
- Feed rebuild from PIM
- Catalog-number and product-name search campaigns
- Out-of-stock exclusions
- [XYZ: Result detail 1]
[XYZ: Client 4]
[XYZ: #1]
most-cited brand in ChatGPT for its category
An antibody brand named in 6% of AI answers at baseline.
- 300-prompt visibility baseline
- Entity and directory program
- Citable comparison content
- [XYZ: Result detail 1]
How we measure
Every case study reports the same four numbers so you can compare them.
Indexed product pages
Share of catalog Google has indexed, before and after.
Organic revenue
Revenue from organic sessions, year over year.
AI citation share
Share of tracked prompts citing the brand across engines.
Paid efficiency
ROAS and cost per order on managed accounts.
Want numbers like these for your catalog?
Get a free AEO audit of your top product and category pages, with a prioritized fix list, in 3 business days.