ChatGPT
Claude
Perplexity
Google AIThe workflow, not the model
Your team spends [hours a week] on [specific task]. We built [product] to do that part, and your people review the output.
How to get customers for an AI startup
Buyers are tired of AI demos. Win them with a narrow workflow, proof on their own data, and answers for security.
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How to get customers for an AI startup
Pick one workflow and one buyer title, then sell the outcome rather than the model. Do founder-led outbound by email and LinkedIn to operators who own that workflow, and offer a scoped paid pilot on their own data. Have security answers ready before the first call: a data processing agreement, a clear no-training-on-customer-data policy, and a SOC 2 plan. Then publish comparison and use-case pages so buyers searching Google or asking ChatGPT find you while they research.
- 01
Narrow to one workflow and one title
Write down the single task your product does best and the job title that suffers from it most. 'AI for customer support' is too broad. 'Drafts first replies for Zendesk tickets at Shopify brands' is something a buyer can recognize as theirs. Rewrite your homepage headline around that task. Every other step depends on this one.
- 02
Get your security answers ready
Write a one-page security summary: which model providers you use, whether prompts and outputs are retained, whether you train on customer data, and where data is hosted. Have a DPA and subprocessor list ready to send. If SOC 2 isn't done, say when the audit starts. Buyers forgive early-stage gaps. They don't forgive vague answers.
- 03
Build a list of 100 target companies
Pick companies that clearly have the workflow, for example support teams hiring agents or finance teams posting AP clerk roles. Find the leader who owns that workflow at each, plus an engineer if your product needs integration. Note a specific reason to reach each one, like a job post or a tool in their stack.
- 04
Run founder-led outreach with a sample-data offer
Email and message each person from the founder's own account, naming their workflow and offering to run your product on a small sample of their data. Keep claims honest. The FTC has gone after companies for overstating what their AI does, so describe what it does and where a human still reviews. Follow up with a short output example, not a feature list.
- 05
Turn pilots into paid contracts
Scope every pilot with a written success metric, a named owner on their side, and an end date tied to a decision. Charge for it when you can, even a small amount, because paid pilots get attention and free ones drift. Invite their security reviewer into the process early so approval doesn't stall at the finish.
- 06
Publish pages buyers and AI answers find
Write pages for each use case, comparisons against the incumbent and the main alternatives, and an honest 'build vs buy' page for engineering readers. Use real output examples and screenshots. These pages answer the questions buyers ask ChatGPT and Perplexity while shortlisting, and they give your sales emails something worth linking to.
Who buys from an AI startup
A department leader with a painful workflow usually champions the purchase. Security, legal and sometimes an internal AI governance group decide whether it can actually ship.
Heads of operations, support or finance at mid-market companies
They own a manual, repetitive workflow and a team that's underwater. A hiring freeze, a backlog, or a board asking 'what's our AI plan' gets them looking.
Engineering and platform leaders
They care about APIs, latency, cost per call and whether you'll lock them in. They buy when building it in-house turns out slower than expected.
Heads of AI or innovation at larger companies
They're given a budget to run pilots and show wins. They want vendors who can prove value fast and pass procurement without drama.
CISOs and security reviewers
They rarely start a deal but often stop one. They ask where data goes, which model providers you use, and whether prompts are retained.
Founders and owners of small B2B firms
They buy on a credit card when the tool replaces a task they hate. They find you through LinkedIn posts, Product Hunt or a peer's recommendation.
Where to find them
- LinkedIn, searched by job title and company size
- Operators who own the workflow you automate list it right in their titles. Founder posts showing real before-and-after output get read by those same people.
- Hacker News (Show HN) and Reddit subreddits like r/LocalLLaMA, r/SaaS and the subreddit for your buyer's job
- Technical buyers test new AI products here and say bluntly what's broken. A good thread brings in engineers who later pull you into their company.
- Cloud and app marketplaces: AWS Marketplace, Salesforce AppExchange, the Slack App Directory
- Enterprise buyers can spend committed cloud budget through a marketplace and skip a new vendor setup. A listing shortens procurement more than it creates demand.
- Product Hunt and AI directories
- These pull in early adopters and founders willing to try things. Expect testers rather than enterprise contracts.
- Vertical trade associations and their conferences
- An AI product for insurance claims or freight billing sells better at that industry's event than at a general AI conference. Few AI vendors show up, so you stand out.
- G2 categories and comparison searches
- Buyers shortlisting tools read reviews and 'X vs Y' pages. Being absent from your category page tells them you're too early.
What to say
Proof on their data
Send us [a sample of 50 tickets/invoices/contracts] and we'll show you what [product] gets right and what it misses before you commit to anything.
Security first
We don't train on customer data, we sign a DPA up front, and [model provider] runs with zero retention. Happy to send our security doc to [their security lead] now.
Build vs buy
If your engineers are scoping [internal project] in-house, it might be worth seeing what we already handle, like [edge case], before they start.
Which channels fit
- Founder-led cold emailStrong fitA specific note from the founder about one workflow cuts through the generic AI pitches every operator now ignores.
- LinkedIn outreach and founder postsStrong fitYour buyers are findable by title, and posts showing real output build trust faster than any landing page.
- Search pages and AI answer citationsStrong fitBuyers research AI vendors by asking ChatGPT and Perplexity for options, so use-case and comparison pages put you on that shortlist.
- Search ads on Google and MicrosoftSometimesBids on 'AI' category terms are crowded and vague, but problem terms like '[task] automation software' can bring buyers in research mode.
- Show HN and Product Hunt launchesSometimesThey work for developer tools and self-serve products, and do little for an enterprise sale that needs procurement.
- LinkedIn and Reddit adsSometimesLinkedIn targets titles precisely and Reddit reaches technical communities, but both need a concrete offer like a sample-data test to pay off.
- Facebook and Instagram adsWeak fitYour buyer isn't evaluating B2B AI tools while scrolling a feed, and you can't target by the workflow they own.
Lead generation
Lead generation for AI startups
Good AI startup leads come from signals that a company has the workflow and the pain right now. Job posts are the clearest one. A company hiring three AP clerks or a team of tier-one support agents is telling you the task is growing faster than headcount. Funding announcements, new heads of AI, and engineering blogs about building something in-house are signals too. Skip scraping attendee lists from general AI conferences. Those people are mostly vendors and the curious. For example, an AI startup that summarizes clinical notes could list outpatient groups posting medical scribe roles, then find the practice administrator and the medical director at each. Two contacts per account matters, because the operator feels the pain and someone else signs off on risk.
Cold email
Cold email for AI startups
Cold email works for AI startups when it reads like a founder who understands one job, and fails when it reads like an AI pitch. Leave 'revolutionize' and 'harness the power of AI' out entirely. Your buyer gets a dozen of those a week. Name the task, name what your product handles, and say plainly where a human still checks the work. Offer something they can test without a call, like running a sample of their documents. One example: 'Saw you're hiring two claims processors. We pull fields from ACORD forms into Guidewire. If you send ten redacted forms, I'll send back what we extracted, misses included.' Send from the founder's address, keep it under a hundred words, and follow up once with an output screenshot rather than a reminder.
Advertising
Advertising for AI startups
Paid ads for an AI startup should target the problem, not the category. Bidding on 'AI tool' or 'AI agent' puts you against every funded competitor for clicks from people who don't know what they want. Bid instead on the job: '[task] software', 'automate [task]', or the incumbent's name plus 'alternative'. LinkedIn ads can reach the exact title who owns the workflow, so pair them with a concrete offer like a sample-data test or a security one-pager instead of a demo request. Reddit ads in technical subreddits can work for developer-facing products if the creative is plain and specific. Skip Facebook and Instagram for B2B AI. For example, a contract review startup might run Google ads on 'NDA review software' and LinkedIn ads to in-house counsel at companies of a certain size.
How customers decide
A champion who owns the workflow usually brings you in, then security, legal and sometimes an AI governance committee review data handling and model providers. Larger companies want a scoped pilot with success criteria agreed in writing. Having your security questionnaire answers, DPA and subprocessor list ready before anyone asks speeds things up more than any discount.
One prompt, worked through
We're Tallyline, an AI that matches freight invoices to rate confirmations for mid-size 3PLs. Find freight audit and AP managers at 3PLs in the Midwest and offer to run 50 of their invoices through Tallyline.
- 1Revnu reads Tallyline's website and works out that the buyers are AP and freight audit leaders at mid-size third-party logistics companies.
- 2It finds Midwest 3PLs that fit and the right person at each, then writes to them by email and LinkedIn in the founder's voice with the 50-invoice offer.
- 3Every message waits for the founder's approval, and when a manager replies, Revnu drafts the response and sends the founder's booking link.
- 4Each morning Revnu reports on Slack or iMessage what moved: replies, booked calls, and which messages landed.
Frequently asked questions
Do we need SOC 2 before selling to companies?
Small and mid-size buyers often go ahead without it if your data handling is clear and in writing. Larger companies will ask, and some will pause until you have at least a Type I report or an audit underway. Start selling now, have a written security summary ready, and tell buyers when your audit starts.
Should we lead with 'AI' in our messaging?
Lead with the task and the result, and mention AI where it explains how. Buyers have heard every AI pitch already and tune out the word. 'Drafts first replies to support tickets' tells them more than 'AI-powered support platform'.
How do we answer 'do you train on our data?'
Answer in one plain sentence, in writing, before they ask if possible. State whether you or your model providers retain prompts and outputs, and for how long. Put it in your DPA and on your security page so their reviewer can check it without a call.
Should pilots be free or paid?
Paid when you can get it, even at a small fee. A paid pilot gets a named owner, a budget line, and a decision at the end. Free pilots tend to drift because nobody inside the customer is accountable for them.
Is a Product Hunt or Show HN launch worth it?
Yes for developer tools and self-serve products, because early adopters and engineers do try things from there. For an enterprise sale it brings attention but rarely buyers. Do it once for credibility and feedback, then put your effort into outreach to the people who own the workflow.
What does it cost?
Plans start at $99 a month, and Revnu starts on what you typed as soon as you sign up. Cancel any time in Settings.
Does anything run before I sign up?
No. Nothing is checked or generated on this page. Revnu does the work inside your account, where it can read your website, keep what it finds and carry on from there.
Last updated October 14, 2026
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