+550% organic revenue. Six months.
Not ecommerce — subscription SaaS — but included because it is the clearest evidence we have that the AEO layer moves money rather than citation counts. An AI platform turning property listings into real-estate videos, competing in a category being invented in real time.
From $14,068 to $91,500 monthly. $237K in cumulative organic revenue across the six-month window.
From 34 to 188. Paying customers grew faster than sign-ups — answer-first content pre-educates the buyer before they arrive.
From 161 to 5,272. The authority signal that makes AI assistants trust a brand enough to recommend it.
Part of 73 total page-one and feature placements — 31 top-three rankings, 13 in positions 4–10, 11 other rich results.
Three problems at once, in a category being invented in real time.
The category was new, so buyers searched fifty different ways for the same need — "listing video maker", "AI real estate video", "virtual staging" — and coverage had to be engineered rather than guessed.
Realtors research heavily before subscribing, so every unanswered question was a lost trial. A FAQ gap wasn't a content problem; it was a revenue problem.
And the target audience literally buys AI tools, which means they ask AI for recommendations. AI visibility wasn't a nice-to-have; it was the storefront. When a realtor asks which AI video tool to use, not being in the answer is not being considered.
Five workstreams. One category owned.
FAQ depth, a dedicated hub, llms.txt, money pages and a competitive AI audit — each one chosen because realtors research before they buy, and AI assistants are where that research now starts.
- 01
1,289 FAQ answers engineered
Across 14 topic clusters under strict anti-cannibalisation rules — one query, one page, zero internal competition. Every unanswered question a lost trial; every answered question a recovered one.
- 02
A dedicated FAQ hub
Hub, category and detail pages, each schema-rich and individually indexable. The architecture that lets Google surface the right answer for the right query — and lets AI cite the source reliably.
- 03
llms.txt and the AI layer
An AI-readable brand file plus extraction-optimised structure on every page. The infrastructure that put AutoReel in AI assistant answers when realtors ask which tool to use — and keeps it there as models update.
- 04
Money page system
A Virtual Staging landing page and conversion-focused feature pages built to catch high-intent queries at the moment of decision. Content that ranks and converts, not just content that ranks.
- 05
Competitive AI audit
A full AI-visibility teardown against the nearest rival, mapping every query where AI recommended them instead. Each gap became a content brief; each closed gap a position recovered from a competitor.
What Bee Online owned end-to-end.
Every deliverable below was scoped, executed and quality-checked by the Bee Online team.
- FAQ content architecture — 1,289 answers across 14 clusters, anti-cannibalisation rules enforced — one query, one page.
- FAQ hub build — hub, category and detail pages, schema-rich and individually indexable for Google and AI citation.
- llms.txt implementation — AI-readable brand file plus extraction-optimised structure across every page to earn and hold AI assistant recommendations.
- Money page system — Virtual Staging landing page and conversion-focused feature pages for high-intent query capture.
- Competitive AI audit — full AI-visibility teardown against the nearest rival — every query where competitors were recommended and AutoReel was not.
- Authority building — referring domain programme that took the domain from 161 to 5,272 referring domains (33×) in six months.
- Performance reporting — platform billing data and Semrush authority tracking across the full engagement period.
Paying customers grew faster than sign-ups.
+453% paying customers vs +389% sign-ups. Answer-first content pre-educates the buyer, so the people who arrive have already had their objections handled. That is what the ratio reflects.
When a realtor asks which AI video tool to use, AutoReel is in the answer. Every month of citations makes that harder to displace.Bee Online · AutoReel Engagement
The shape of this engagement.
Competitor identities withheld at client request.
Revenue figures reflect verified platform billing data. Relative movements are period comparisons.
This case study was produced by Bee Online for portfolio purposes.