Same "AI does your SEO" — different starting line: $500K raised and three co-founders
Open the real page ↗rankai.ai · alive as of 2026-08-31
An AI agent service that takes over SEO end to end. MRR of $56,533 across 155 subscriptions, read through a Stripe connection. It does almost the same job as SEObot under opposite conditions — Y Combinator S23, roughly $500K pre-seed, and three co-founders. We publish it as the counter-example to "one person can do this".
In plain words
An AI finds opportunities, publishes pages, measures results and adjusts. About $56,000 a month was confirmed through the payment system. It does nearly what SEObot does, but with funding and three people. We publish them side by side because the same work produces different outcomes depending on who is doing it.
The whole thing at a glance
To whom
Companies already paying a m…
What
Micro-SaaS
Found how
Y Combinator network and lau…
Paid how
Monthly subscription
Flow: To whom, then What, then Found how, then Paid how
- Founder
- Dyllan Liu
- Country
- US
- Team
- 3
- Startup cost
- —
- To first revenue
- —
- Automation
- high
- Reported revenue
- $56,533MRR · 2026-07
What is sold
Monthly subscription, priced through sales conversations rather than published rates
🔴 Prices are not published. Checked on 2026-08-31: `/pricing` returns 404 and the main page carries no figures. ⚠️ So this case could not be cross-checked. MRR $56,533 ÷ 155 subscriptions works out to roughly $365 per subscription, but there is no published rate card to compare it against. SEObot, Supergrow and PROSP all cross-checked against pricing; we are recording plainly that this one did not.
Who buys
Companies already paying a marketing agency and looking to cut that cost
What arrives is not what you keep
- What the customer paidThe number on the invoice
- AI toolsA share of the monthly subscription
- Platform feeDiffers by platform
- TaxDiffers by country and business form
- What is leftAt or below zero, it is not a price
This case does not publish its own tool costs, fees or tax. So we show the order and the items only — put your own numbers into the calculator.
AI's part and the person's part
Already had
🔴 This is the heart of the case. The CEO's background runs through McKinsey, engineering at Amazon, machine-learning research at Stanford and Berkeley, and a co-founder had already grown a service to millions of users on SEO alone. AI did not produce this outcome — people who had already done the job used AI to go faster.
If this is large, the AI is not the reason
What the AI did
It sells a loop, not a writing service. Discover opportunities → ship pages → measure results → learn what worked → repeat. SEO, answer-engine optimisation and conversion work all sit inside the same loop.
the part a tool replaced
What the person did
Three people split the work. The co-founders are Dyllan Liu (CEO), Hugo and Boyuan; one of them scaled FlowGPT to several million users through SEO and turned that method into the product. That experience is the substance of the offering.
stories that omit this do not replicate
How customers were found
Y Combinator network and launch exposure
A cost-saving pitch: replace the agency
Sales-led conversations, which unpublished pricing presupposes
Paying customers
🔴 Prices are not published
Flow: Y Combinator network and launch exposure, then A cost-saving pitch: replace the agency, then Sales-led conversations, which unpublished pricing presupposes, then Paying customers
How we verified this
Verified by a third party, e.g. payment-processor data
Confirmed (as of 2026-07-30) — MRR $56,533 · active subscriptions 155 · all-time $376,985. ⚠️ The connection has lapsed — "Stripe API key expired. Data last updated Jul 30, 2026". It is nonetheless the freshest of these three (about a month old), so we record the period as 2026-07. ✅ Internal consistency is the best in this set — MRR $56,533 and "last 30 days" $54,910 agree within 3%, unlike Supergrow (MRR $79,479 vs $32,216) or PROSP. ❌ But no price cross-check was possible, because rates are not published (see Pricing). That leaves the evidence standing on one leg. Founder identity — Dyllan Liu (co-founder, CEO), listed publicly in the Y Combinator company directory (S23), with co-founders Hugo and Boyuan. Roughly $500K raised in pre-seed. 🔴 Grade A says the revenue was real, and nothing more. Here it plainly does not mean one person could do this — it is a funded three-person team.
- TrustMRR — Stripe-verified. ⚠️ Frozen at 2026-07-30 after the API key expired. MRR $56,533 · 155 subscriptions · $376,985 all-time (agrees within 3% with $54,910 last 30 days) (revenue_dashboard · checked 2026-08-31)
- Y Combinator company directory (S23) — third-party public listing confirming founder identity and funding (other · checked 2026-08-31)
What made it work
Two products saying "AI does your SEO" price nearly 10x apart. SEObot runs a low per-subscription price at volume; this one has 155 subscriptions at roughly $365 each. What AI does matters less to price than who you sell it to. 🔴 And this outcome is not "thanks to AI". People who had already grown a service to millions of users through SEO packaged that method. To reproduce it you need the experience first, not the AI. ⚠️ Hiding prices is also a strategy. It means rates are set in conversation, and therefore differ per customer. That rarely works for products sold to individuals.
Risks
- 🔴 Not a solo case. Three co-founders plus roughly $500K pre-seed. The furthest starting line from this site's readers. ❌ The evidence stands on one leg — no published pricing, so no cross-check.
- The figures stopped a month ago (2026-07-30). Fresher than the other two, but still not current.
- Revenue is concentrated in 155 subscriptions. With few customers, a handful of departures move the total sharply.
- Fully exposed to search-engine policy. If the treatment of mass-generated pages changes, the ground under the product moves.
Does this work in Korea?
⚠️ This is not something an individual in Korea can copy as-is. Of the A-grade cases on this site, it is the least reproducible. We publish it as a contrast. SEObot does nearly the same work and reached a comparable place without funding. Looking at only one of them hides the fact that both paths hold at once in the same market. What transfers is an observation, not a product — when capital arrives, businesses move toward high-ticket customers like agency replacement (about $365 per subscription). Without capital, they move the SEObot way: lower price, more customers. Your capital position sets your price list.
Solo-feasible: no · Automation: high
7-day action plan
Step 1. Decide first whether you are selling to individuals or to companies
the price list splits right here
Step 2. Compare the per-subscription prices of SEObot and RankAI, then write down which set of conditions is yours
Step 3. Write down one thing you already do better than most people
experience, not AI, is what sold here
30-day action plan
Step 1. If you are starting without capital, check whether a lower-price, higher-volume design fits you
Step 2. Decide whether to publish prices or quote them, and write down how that changes how you find customers
Step 3. Calculate what leaves if one customer leaves while you still have fewer than five
Run the numbers
We do not print a single projected figure here. Put your own numbers in instead.
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We check the AI income stories people are talking about, grade the evidence, and send you what we found — including what we could not confirm.
Words you may not know
- Verification grade
- How far we checked this case. A means the revenue was confirmed by someone other than the founder; B means the business exists but the revenue is only the founder's word.
- Revenue
- Everything that came in. Tools, fees and tax still have to come out before it is what you keep. The two are not the same.
- MRR
- Money that arrives every month, as opposed to a one-time payment.
- Self-reported
- A number the person stated about themselves. Nobody else confirmed it, which is why we do not print those numbers.
- Replicability
- How likely someone else is to get a similar result. The more the founder already knew the field, the harder it is to copy.