AI Domain Reselling
Screen thousands of expiring domains a day for the handful worth owning, then sell them on.
Domain sales
Transaction feed
| Event | Item | Sale | Margin |
|---|---|---|---|
| Domain sold | brightfoldco.com | +€620 | +€608 |
| Renewal due | 14 names | — | — |
| Domain sold | slatehq.io | +€185 | +€153 |
| Domain sold | paceandco.com | +€340 | +€329 |
| Offer received | northharbour.io | — | — |
| Domain sold | quietledger.com | +€1,200 | +€1,188 |
Example figures. These amounts are illustrative and show how the workflow behaves — they are not earnings, not ours and not anyone else's. Nobody made this money.
Open full screen · recording mode — sized for vertical video.
Read this before the opportunity
This one demonstrates far better than it performs. Its content score is 9.4 against a business score of 4.0 — a gap of 5.4 points. That pattern is exactly what the get-rich-with-AI industry is built on: strategies that look spectacular in a short video and disappoint in practice.
The single most watchable money mechanism in the set — a sale is one line and one number.
Follow these prompts to start building your income stream
6 steps. Paste each prompt into Claude, use what comes out, move to the next. The last one ends in something live — not in a plan to make something live.
- 01
Set your budget and your stop rule
Free sampleA budget, a max per name, and the point where you stop.
In this step you decide the size of the experiment before the first purchase. This strategy came out of the research as the riskiest of the twelve, largely because no reliable data exists on what names actually sell for — sale prices are published selectively. So the first decision is the loss limit, not the shopping list.
What you write down before buying anything
Loss budget€ 300Max per name€ 12Stop after12 monthsExample of what this step produces. Mocked up, not real data. 1 — The budget rulesI want to try domain reselling as a small, bounded experiment. Money I can lose entirely without it mattering: [LOSS BUDGET] Months I am willing to hold names before concluding: [TIME HORIZON] Give me: 1. A budget split between acquisition and renewals, given that renewals recur annually whether or not anything sells. 2. A maximum per name for a beginner, and the reasoning. 3. How many names that means, and why concentration or spread is better at this size. 4. The total cost over [TIME HORIZON], including renewals, so I know the real number. 5. The rule for when I stop buying and only manage what I have. 6. The rule for when I drop names instead of renewing. Then state plainly what the realistic distribution of outcomes looks like for someone starting now, including the most likely one.
2 — Write down what would prove this worksWrite my own decision rules for this experiment, as something I can check against later. My budget: [LOSS BUDGET]. Horizon: [TIME HORIZON]. Define: 1. What "this is working" looks like in concrete terms at the three-month, six-month and twelve-month marks. 2. What "this is not working" looks like, stated so I cannot argue my way around it. 3. Which signals are meaningful at this size, and which are noise I will be tempted to read as progress. 4. The sunk-cost trap specific to domains — renewing a name because I already paid for it twice. Keep it to one page. I want to be able to read this in six months and know what I decided today.
Claude. Ask it to argue against the strategy — at this risk level that is the useful conversation.
- [LOSS BUDGET]
- Money you can write off completely. Not savings, not borrowed.
- [TIME HORIZON]
- Names sell slowly. Under a year, you have not tested anything.
Then: Write both documents before spending anything. The rules written before the first purchase are the only ones you will trust later.
Where the prompt stops: There is no verifiable public dataset of typical domain sale prices — reported sales are self-selected, which biases every average you will read. Treat any figure you find as marketing until you can trace it to a source.
- 02
Check the name is not trademarked
In the packageA three-minute check you run on every name, every time.
In this step you learn the check that prevents the most expensive mistake in this strategy. Buying a name that infringes a trademark does not just lose you the registration fee — it can lose the name and cost legal fees on top. This is also the check that separates a portfolio from a liability.
- 03
Filter names without buying any
In the packageA shortlist that survived your filters. Nothing bought yet.
In this step you build the filter. Expiring lists contain tens of thousands of names a day, almost all worthless, and the skill is rejecting quickly. Screening before buying is what stops a portfolio from filling with names that only you can see the appeal of.
- 04
Find the buyer before you buy
In the packageA named buyer for each name, and why they would pay.
In this step you apply the rule that separates buying from collecting: if you cannot name who would want it, you are not buying an asset. Doing this before purchase is uncomfortable, which is the point — it is where most of the bad purchases get stopped.
- 05
Put your names up for sale
In the packageEvery name listed, priced, with a page and a contact form.
In this step the names become findable. A domain nobody can buy is a subscription you pay annually, so listing is not optional. Price visibly: buy-it-now prices sell names that 'make offer' never does, because most buyers will not start a negotiation.
- 06
Contact buyers and close the sale
In the packageOffers sent, and a safe transfer if one lands.
In this step you go to the buyer instead of waiting. Done badly this reads as extortion, which is both unpleasant and legally risky; done well it is a short, factual note about an asset that happens to be available. You end with either a sale or a clear answer.
5 of the 6 steps are in AI Money
The sample above is a real step, not a teaser — it is the same depth as the rest. The package adds the other 5 for this strategy, and the same treatment for the other eleven.
Your first 7 days
- 1Decide what you can lose, in a number, and treat it as the maximum for the year.
- 2Learn how to check a trademark register before you register anything.
- 3Screen expiring lists for one week without buying anything.
- 4Write down what you think three names are worth, and to whom specifically.
Your first 30 days
- 1Buy at most a handful of names, each with a named potential buyer in mind.
- 2Approach those buyers directly rather than waiting for inbound interest.
- 3Record every renewal date and the annual cost of the portfolio in one place.
- 4Judge the experiment on offers received, not on names owned.
What you need
core means you cannot skip it. The rest only if you need it.
- Claudecorefree planScreen and shortlist candidate names
- Firecrawlcorefree planCollect listing and expiry data
- Apifyfree planScheduled scraping of marketplaces
- Ahrefsfree planBacklink profile of an expiring domain
- Airtablecorefree planPortfolio, renewal dates and annual cost
- Hunter.iofree planFind the buyer you have in mind
Want the research?— what it is, what it costs, and how we scored it
What you can actually watch
Candidate names streaming past a filter, a handful surviving, then a sale landing.
What it is
You buy domain names expecting to sell them at a profit, using AI to screen expiring lists, name patterns, brand movements and backlink profiles. The AI narrows the intake; it does nothing about whether a buyer ever appears.
Why this opportunity
The screening genuinely works: thousands of expiring names a day can be filtered down to a handful worth a second look, which used to be a full-time job. Note what that does and does not prove — it proves the filter is cheap now, not that the names are worth owning.
Who this is for
For someone with capital they can afford to lose, several years of patience, and enough trademark knowledge to avoid the expensive mistake. It is not an entry-level strategy and our research does not treat it as one.
The business model
Buy inventory, hold it, renew it annually, list it, negotiate, transfer through escrow. The renewal bill arrives every year whether anything sells or not.
How money is made
The spread between acquisition and sale price on the names that sell, minus renewals on everything that does not. Margin on a successful sale is very high; margin on the portfolio as a whole is negative while renewals exceed proceeds, which is the normal situation for beginners.
Who pays
Businesses, other investors and end users. Outbound approaches to likely buyers are part of the job — the passive version of this business is mostly renewals and silence.
Finding customers
Marketplaces, auctions, inbound interest, and outbound to potential buyers. Selling is the skill; buying is the easy part and the expensive one.
Delivery
Acquisition, holding, listing, negotiation, escrow transfer. The transfer itself is routine; the negotiation is where value is made or lost.
Where AI actually helps
High for scanning large lists and recognising patterns, zero for the question of whether a buyer will ever exist. Your competitors run the same filters, so the screening advantage is already priced in.
Skills you need
High: valuation, trademark law and negotiation. Weak valuation means you buy inventory nobody wants; weak trademark judgement means you buy a lawsuit.
What it costs to start
Medium to high, and this is the core of it: you buy inventory, and you pay renewal fees on the entire portfolio every year regardless of sales. A portfolio is an ongoing cost commitment, not a dormant asset.
How to price it
Ask prices are set per name, usually far above acquisition cost, and most never transact. Without comparable sales data you are pricing on instinct — see the evidence problem below.
Common mistakes
Registering names that resemble existing brands — AI-driven name generation at scale raises this risk precisely because a model does not consult a trademark register. The usual outcome of a UDRP procedure or trademark claim is loss of the domain plus costs, and damages in some jurisdictions. The second mistake is believing any figure you read: the transaction databases that would provide price evidence (NameBio, Sedo, dnib.com) block automated access (HTTP 403), so there is no independent figure on sell-through rates, average holding time or returns. Everything circulating comes from parties selling domains or courses about domains.
Scaling
More names means more renewals, not more certainty. Scale here multiplies a fixed annual cost against an unknown sale probability.
The version that holds up
The defensible version is narrow: a category you understand commercially, names with demonstrable end-user demand, and a buyer list you approach directly. That is a trading business with a research process — not an AI strategy.
Time to first revenue
No responsible estimate
Structurally undetermined. Time to sale for an individual domain ranges from days to never, and the annual sale probability per domain in this market is notoriously low. Any time-to-revenue promise in this category is misleading. The only condition under which revenue can be discussed at all: a portfolio of substantial size, several years of patience, and capital you can afford to lose.
How it scored
Ten axes, scored. Risk scored 9 out of 10, where higher is worse.
The state of this market
Go in with your eyes open and a loss limit. There is no independent price data to lean on: NameBio, Sedo and dnib all blocked automated access, so no independent sales data was obtainable. Treat the resale value of any name as unproven until you see a real comparable.
Not sure this one fits you?
Answer a few questions about budget, time and skills and see which of the eighteen match your situation — and which to avoid.
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