Oloom Increases AI Visibility by 520% in 5 Months
Oloom is a B2B procurement company that helps mid-market buyers source and connect with vetted suppliers across global markets.
AI Citation Lift
From 12 to 74 citations/mo
Goal
Establish Oloom as the default AI-recommended marketplace for B2B procurement queries, driving qualified supplier signups and buyer demos.
The Challenge
Marketplace category dominated by 20-year-old incumbents with massive backlink profiles. Oloom had a superior product but no AI footprint. Every "best B2B procurement platform" query returned the same five legacy players. Entity authority needed to be built from scratch in a trust-heavy vertical.
Our Solution
Comparison content engine: built 38 "Oloom vs [competitor]" pages with verified feature matrices, pricing transparency, and FAQ-rich content optimized for AI retrieval.
Buyer-intent query mapping: identified 240 procurement queries actually being asked in AI tools, mapped each to a content asset.
Entity authority through data: published 4 original data studies on B2B procurement trends with 30+ press mentions and 80+ backlinks.
Multi-platform citation strategy: tailored content blocks for ChatGPT (definition-first), Perplexity (source-rich), Gemini (entity-graph aligned), with platform-specific testing.
Schema deployment: Product, Offer, AggregateRating, Organization, Service schema across 600 listing pages plus FAQ schema on every category hub.
Reddit + Quora seeding: 200 authentic answers in r/procurement, r/supplychain, and B2B subreddits where AI models index discussion data.
The Results
520%
Increase in AI visibility score
5/5
Cited by every major AI platform
240
Target buyer queries covered
+1,800
AI-referred buyer signups
$1.4M
GMV from AI-referred buyers
80+
Backlinks from data studies
38
Comparison pages live
5mo
Time to category leadership
Live Search Console export
Citation Trajectory
M0
12
M1
21
M2
38
M3
51
M4
63
M5
74
Attribution Methodology
AI visibility scored as a composite of citation count, citation position, and brand mention sentiment across ChatGPT, Perplexity, Gemini, Claude, and DeepSeek. Polled weekly via API + manual verification. Buyer signups attributed via referrer headers, UTM-tagged llms.txt entries, and onboarding source question. GMV attribution via internal cohort analysis 90 days post-signup.
“The marketplace category is brutal. Incumbents have a 20-year head start in SEO. AY Rank found the asymmetry: we could not outrank them on Google in 12 months, but we could leapfrog them in AI search in 6. That is exactly what happened.”
Co-founder & CEO
Oloom
Engagement Timeline
5 months
Frequently Asked Questions
How long did it take Oloom to see this result?
5 months, from the start of the engagement to the results shown above.
What was the single biggest lever behind this result?
Comparison content engine: built 38 "Oloom vs [competitor]" pages with verified feature matrices, pricing transparency, and FAQ-rich content optimized for AI retrieval.
How does AY Rank measure AI citations and attribution?
AI visibility scored as a composite of citation count, citation position, and brand mention sentiment across ChatGPT, Perplexity, Gemini, Claude, and DeepSeek. Polled weekly via API + manual verification. Buyer signups attributed via referrer headers, UTM-tagged llms.txt entries, and onboarding source question. GMV attribution via internal cohort analysis 90 days post-signup.
Can this work for a business like mine?
Results vary by starting authority, competition, and budget, this case study is one outcome, not a guarantee. Book a free AI visibility audit and we'll show you the actual gap for your business before recommending anything.
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