📣 Launch and marketing playbook

Most new tech businesses do not fail because the work is bad. They fail because too few of the right people hear about it in the first six months. The owner builds a website, posts twice on LinkedIn, waits, and goes back to a job. This guide is the part that comes before and around the work: who you sell to, what you say, where you say it, how you prove it, and the rules that apply when you email, text or quote a happy client.

It is written for a one- or two-person AI or IT service selling to local and regional businesses. It leans on trust and conversations, not ads, because an owner who hands you their email, customer list or patient records does it for someone a friend vouched for, or someone they watched teach a room.

Positioning: one customer, one problem, one promise

Positioning is the sentence that tells a stranger whether you are for them. "I help businesses with AI" fails that test, because every owner hears it as "I will cost you money and take your time." A good positioning sentence has three parts.

One customer. Pick a type of business you can name in two or three words: dental offices, HVAC companies, small CPA firms, independent insurance agencies, property managers, town clerks. One customer type means your examples, talks and referral partners all point the same way, and each client teaches you something you reuse.

One problem. Name a job the owner already hates and already loses money on. Missed calls after 5 p.m. Insurance checks the morning of the appointment. Tax documents that arrive in pieces in March. Leads that wait a day for a reply. Owners do not buy "AI." They buy the end of a specific headache.

One promise you can keep. The promise should be something you control and can measure, such as "every after-hours caller gets a text within a minute and a call back the next morning" or "your office sees each patient’s benefits the day before the visit." Do not promise outcomes you do not control, like a revenue increase, a percentage saved or "fully automated." The FTC has brought cases against AI sellers over exactly those kinds of claims (more under the rules below).

Put the three together and test it out loud: "I set up after-hours call handling for HVAC companies in our county, so every missed call gets a text in a minute and a booked slot by morning." If a heating contractor hears that and says "how much," it works. If they say "what does that mean," shorten it.

One test: can you reach 50 businesses of your chosen type within an hour’s drive or through one association? If not, widen the niche one step (from "orthodontists" to "dental offices"), not back to "everyone."

The offer, the paid pilot and your proof

An offer is what someone can say yes to this week. It has a name, a scope, a price and a time frame. "Missed-call setup: we connect your phone line, write the text and the after-hours script, test it with you, and run it for 30 days. $750, live in 10 business days." Compare "let’s talk about how AI could help your business," which asks the owner to do your thinking.

The paid pilot. Your first three to five clients should be paid pilots: a small, fixed-scope version of your main service, at a fair but lower price, in exchange for two things written into the agreement. First, permission to measure the before and after. Second, permission to publish a short case study if the results are good, with names removed if they prefer. People who pay show up to meetings, give you access and take the result seriously. Free work stalls.

Keep the pilot to 30 days or less, one process, and one number you can measure. Credit the pilot price toward the full service if they continue. That turns the pilot into the first step of the sale rather than a discount you have to walk back.

Your proof. A new business has no reviews and no logos to show. Proof is how you close that gap. In order of strength:

1. Before and after numbers you measured. "Reply time to new leads went from next day to under 5 minutes." "The office manager spent 6 hours a week retyping forms; now it is about 40 minutes of checking." Measure the before during the pilot’s first week, not from the owner’s memory. Write down how you measured it.

2. A short case study. One page: the business type, the problem in their words, what you set up, the measured result, and one quote from the owner. Three of these are worth more than any website design.

3. A screen recording. Two minutes of a real flow running, with client details blurred. Windows and macOS both include a basic screen recorder.

4. A live demo on fake data. Build it for a made-up business in your niche, "Northside Heating," with fake customers, so you can show it anywhere without risking anyone’s data.

5. Testimonials. A sentence from a real client, used with written permission, saying what changed. The FTC rules on testimonials apply (see below), so never edit the meaning, never write one for them, and do not imply that one client’s result is typical unless it is.

Ask for the case study at the end of the pilot, while the result is fresh. Here is a message you can send.

Case-study request. Hi Maria, now that the missed-call setup has run for a month, I pulled the numbers: 41 after-hours calls got a text within a minute, and 17 of them booked a visit. Would you be OK with me writing this up as a one-page case study? I’d send you the draft first, and I can leave out the company name if you prefer. A two-sentence quote from you about what changed would help other shop owners understand it. No pressure either way, and thanks again for being an early client.

The launch plan: 30 days, then week by week to 90

The first 30 days are about conversations, not content. The target is simple: 40 to 60 direct, personal messages sent, 10 or more real conversations held, and two or three paid pilots agreed. Everything else (the website, the LinkedIn profile, the logo) supports that and should take no more than a few evenings.

After day 30 the plan shifts from finding first clients to delivering for them, turning results into proof, and building the channels that bring steady leads. The figure shows the weekly rhythm through day 90.

Weeks 5 to 8. Deliver the pilots well. Send each client a short weekly note on what changed. Keep two or three outreach sessions a week going so the pipeline does not empty while you work. Give your first talk.

Weeks 9 to 13. Turn each finished pilot into a case study and a monthly care plan. Ask each happy client for a review and one introduction. Give a second talk. If, and only if, the free channels are producing conversations, test one marketplace profile or a capped ad budget for a month.

Your warm network and referral partners

Your first clients will almost certainly come from people who already know you or know someone who does. That is not a shortcut; it is how most service businesses start. The trick is to ask in a way that is specific and easy to say yes to, and to ask one person at a time.

Send each warm email by hand. Mention something real about the person. Name the niche and the problem so they can think of a specific person. Ask for an introduction or a 20-minute conversation, not a sale.

Warm email. Subject: A quick favor, and a question about dental offices. Hi James, it’s been a while since we worked together at Fairview. I’ve started a small business setting up insurance verification for dental offices, so the front desk sees each patient’s coverage the day before the visit instead of at checkout. I’m looking for two or three offices to run a paid 30-day pilot with. Do you know an office manager or dentist who complains about insurance surprises? A name would help a lot, or if you have 20 minutes I’d like to hear what you think of the idea. Thanks, Priya.

About half the people you write to will not answer the first time. That usually means busy, not no. Follow up once, a week later, short and friendly. After that, stop.

Follow-up. Hi James, bumping this in case it got buried. Even one name of a dental office manager who might talk to me for 15 minutes would help. If now’s not a good time, no problem at all. Priya.

Referral partners. A referral partner is a business that already has your customers’ trust and sees the problem before you do. For AI and IT services, the best partners are:

Bookkeepers and accountants. They see the messy invoices, the retyped spreadsheets and the late reports. They also do not want to do the automation themselves.

IT providers and managed service providers. Many handle hardware, networks and security but do not want to build automations or run AI training. They also need someone they trust for jobs too small for them.

Web designers and marketing agencies. Their clients ask for chatbots, booking flows and CRM setup. A designer who sends you that work keeps the client happy without learning a new trade.

Vendors who sell software to your niche. The local rep for a dental practice software, a field-service app or a tax portal meets dozens of your target customers. Many of their customers buy the software and never set it up fully.

Tell partners exactly what kind of client and problem to send, report back on every referral, and send work their way when you can. If you pay referral fees, put the terms in writing and check that the partner’s profession allows them; some licensed professions restrict referral payments.

Partner pitch. Hi Dana, I run a small business setting up automations for property managers: tenant inquiries answered within minutes, maintenance requests sorted and sent to the right vendor, and rent reminders that go out on their own. Several of your bookkeeping clients are property managers, and you probably see the mess before anyone. I’m not looking to touch the books or anything you do. I’d like to be the person you can send them to when they ask for help with the rest, and I’ll keep you in the loop on every referral. Could I buy you a coffee next week and show you a two-minute demo? Sam.

Local rooms: events, groups and teaching

Small business owners still gather in person, and a newcomer who shows up regularly and helps people becomes known within a few months. Pick two or three of these and go consistently rather than trying all of them once.

Chamber of commerce. Many events are open to guests, and membership puts you in the directory. Dues vary widely, so go to two events as a guest before joining.

Referral groups. BNI is the best-known, and there are independent groups modeled on it. Chapters usually allow one member per profession, meet weekly, charge yearly dues and expect referrals, so visit as a guest before committing. The payoff is an accountant, an insurance agent and a commercial realtor in the same room each week.

Trade associations. Your niche has them: the state dental association and its local component societies, the state society of CPAs, the local home builders association, a property management association, a county clerks’ association. Their meetings and newsletters reach exactly your customer. Many accept vendor or associate members and look for speakers.

Libraries and SBDC events. Public libraries run free programs and often want speakers on practical topics. Small Business Development Centers and SCORE chapters run workshops for owners, and some invite outside presenters.

Teaching as marketing. A free 45-minute talk lets a room watch you explain something clearly and answer questions honestly, which builds more trust than any ad. Choose a practical title tied to your niche: "Three jobs your office can stop doing by hand," "How to spot AI voice-clone scams," or "Using AI with client data without getting in trouble." Teach real things, mention your service once at the end, and hand out a one-page sheet with your contact details and the pilot offer. A lunch-and-learn inside one business works the same way: you bring lunch, teach the staff one useful thing, and the owner sees you work.

Two ideas in this section are built around teaching: AI training workshops for small teams and AI and scam-awareness workshops for seniors. Both make good door openers for other services too.

Workshop invite (to a librarian or association program chair). Hi Ms. Ortiz, I run a small local business that helps offices set up AI tools safely. I’d like to offer a free 45-minute session for your business patrons called "Using AI at work without risking client data." It covers what the main tools do well and badly, what never to paste into a chatbot, and a one-page policy attendees can take home. There’s no sales pitch; I bring the slides and a handout, and I can do a weekday evening or a lunch slot. Would that fit your spring program? I can send an outline and references.

Being found: Google, a one-page site and LinkedIn

Google Business Profile. If you meet clients in person, at their office or yours, set up a free Google Business Profile. Google’s guidelines are built for businesses with in-person contact with customers; an online-only business does not qualify. If you go to clients rather than having them come to you, set it up as a service-area business, which hides your home address and shows the towns you serve instead. Do not use a P.O. box or virtual office address. Choose the most accurate category, write a plain description that repeats your positioning sentence, add real photos (you at a client site, a slide from your talk), and ask every happy client for a review. For local searches like "IT support near me" or "computer help for seniors," the map listing often matters more than your website.

A one-page website that converts. You do not need ten pages. You need one page that answers a visitor’s three questions (is this for me, can I trust them, what do I do next) in under a minute. The figure shows the order.

Show at least a starting price. Use a real photo of yourself and put your town near the top. Link the button to a calendar with 20-minute slots. Add a privacy note if you collect form data. Skip stock photos of robots and glowing brains.

LinkedIn for business clients. Office owners and managers often check you on LinkedIn after a meeting or referral. Three things matter.

The profile. Your headline is your positioning sentence, not your job title. The About section says who you help, the problem, how you work and how to reach you, in plain sentences. Use the Featured section for one case study and one demo video. Use a clear, friendly photo.

A posting rhythm you can keep. One or two posts a week is enough. Good posts: a problem you saw this week and how you would handle it; a 60-second demo; a lesson from a pilot, with the client’s permission; a short explainer of a rule your niche worries about. Write in your own words.

Direct messages that are not spam. Connect with people you met, people who engaged with your posts, and people a mutual contact introduced. Add a note that says why. Do not pitch in the first message. Do not send the same message to 200 people. LinkedIn’s user agreement bans bots and automation tools that send connection requests or messages for you, and accounts that use them get restricted. A good first message looks like this: "Hi Tom, thanks for the comment on my post about tax-season document chasing. Sounds like your firm has its own system. How do you handle it when a client sends half their 1099s in February and the rest in April?"

Marketplaces, content and paid ads

Marketplaces. Upwork, Fiverr and Contra can bring paid work, especially for technical tasks like automation builds, chatbots and AI video, where Upwork reported large growth in 2025: U.S. earnings from AI integration work rose 178% and AI chatbot development 71%. They also put you in a global price competition. Upwork’s own public rate ranges for AI developers run about $30 to $50 an hour and chatbot developers about $30 to $61, and those profiles include freelancers in lower-cost countries. Fiverr’s cost guide lists simple no-code automations at $40 to $250.

Fees matter. Upwork charges freelancers a variable service fee of 0% to 15% per contract (Upwork’s rates guide, November 2026) and you pay for Connects to send proposals. Fiverr takes 20% of each order according to its terms as summarized by several third-party sites (we did not confirm this on Fiverr’s own pages). Contra says it charges freelancers no commission and charges clients instead (secondary sources).

When marketplaces make sense: you are building a portfolio and need a few paid projects fast; your service is technical and remote (automation, chatbots, dashboards, video); or you want to test whether a narrow offer sells before building local channels. When they do not: your edge is local trust, in-person training or regulated industries, where a clinic or law firm will not hire a stranger from a marketplace. Treat a marketplace as one channel with a budget of time, not as the business. Move good clients onto a direct contract when the platform’s terms allow it; Upwork and Fiverr both have rules against taking platform clients off the platform, so read them before you do.

Content without drowning. Content helps when it shows your work; it hurts when it eats the hours you need for conversations. A sustainable plan for one person:

That is roughly 8 to 10 hours a month. If you only have time for one thing, make it the monthly newsletter to people who already know you. Use AI to help draft, but read every line and check every fact; Google’s spam policies target scaled, low-value AI content.

Paid ads, last, and capped. Ads amplify something that already works; they do not create it. Wait until you have a clear offer, at least two case studies and a page that turns visitors into booked calls. Then run one test at a time: a single platform, a single offer, a fixed monthly cap, and a stop rule. For example: $150 for the month, a $5 daily budget, search ads on phrases your customer actually uses ("dental insurance verification service," "IT support for small office near me"), sent to your one-page site. Stop the test if it has not produced at least one real conversation by the time half the budget is spent. Track cost per conversation, not clicks.

The rules: email, texts, calls, reviews and AI claims

These rules are easy to follow if you build them in from the start, and costly if you ignore them. This is a summary, not legal advice; the contracts and AI rules guide goes further.

Email (CAN-SPAM). The FTC’s compliance guide says the law covers commercial email, and makes no exception for business-to-business email. The core duties: no false or misleading header information; no deceptive subject lines; identify the message as an ad where it is one; include your valid physical postal address (a street address, a registered P.O. box or a registered private mailbox); tell recipients how to opt out; honor opt-outs within 10 business days and keep the opt-out working for at least 30 days after sending; and you remain responsible if someone else sends email for you. The guide lists penalties of up to $53,088 for each email in violation. Put your address and an opt-out line in anything you send to a list.

Texts and calls (TCPA and A2P 10DLC). Marketing texts and calls sent with automated systems need the person’s prior express written consent. The FCC ruled on February 8, 2024 that AI-generated and cloned voices count as "artificial or prerecorded voice" under the TCPA, so outbound AI calls need prior express consent too, plus identification and a way to opt out. Do not sell or run outbound AI cold-calling. Business texting from ordinary 10-digit numbers must be registered with the carriers (A2P 10DLC); on Twilio, that has meant small one-time brand and campaign vetting fees plus a monthly campaign fee (Twilio’s support page, fees in effect since August 2025). Many owners give out a cell phone, so treat any number as one the Do Not Call rules can cover. Honor "STOP" and other clear opt-out requests right away.

Reviews (FTC rule, 16 CFR Part 465, in effect since October 2024). It bans fake reviews, including AI-written reviews that pretend to be a customer’s experience; buying reviews conditioned on them being positive; undisclosed reviews by owners, staff or relatives; and suppressing negative reviews. Asking all your clients for an honest review is fine. Google’s own review policy goes further: do not offer anything in exchange for reviews, and do not ask only the clients you expect to be happy. Never write a review for a client "to save them time."

Review request. Hi Maria, thanks again for working with me on the call setup. If you have a minute, an honest Google review would help other shop owners decide whether this is right for them. Here’s the link: [link]. Whatever you think, good or not, I’d like to hear it. Priya.

Testimonials and endorsements (FTC Endorsement Guides, revised 2023). Use real quotes, with permission, that reflect the client’s honest view. If you gave the client anything for the testimonial, such as a discount, disclose it. If you show one client’s result, do not imply it is what everyone gets unless you have evidence that it is typical; otherwise say clearly what results people should generally expect.

AI claims (FTC Act, Section 5). The FTC has brought a run of cases over AI marketing: the Operation AI Comply cases in September 2024, including DoNotPay’s "robot lawyer" claims; a final order against Workado in August 2025 over an unproven "98% accurate" claim; a $1 million order against accessiBe, announced in January 2025, over claims its AI tool could make any website accessible; and a 2026 proposed settlement with Air AI over earnings and refund claims made to small businesses. Each turned on a claim the seller could not back up. Do not promise accuracy percentages, income, unmeasured savings, "fully automated" results, or that a bot replaces a licensed professional. Say what the tool does, what a person still checks, and what you measured.

Tracking and a monthly budget

Keep one spreadsheet. Each row is a person or business. Columns: date, name, business type, source (warm, partner, event, talk, LinkedIn, Google, marketplace, ad), stage (contacted, replied, call held, proposal sent, won, lost), value, next step and next-step date. Fill it in the same day. Review it every Friday. In month two you will see which sources produce conversations and which produce nothing, and you can shift your hours.

The funnel below uses example numbers for a first quarter. Your own numbers will differ; the point is to know them.

A budget keeps marketing from turning into random spending. Here are three example monthly budgets. The amounts are allocations, not quoted prices; check the real cost of any tool or membership before you pay.

The $0 plan is a real plan: first clients come from conversations, which cost time. Spend money first where it buys conversations (events, partner lunches) and last on ads.

The 10 mistakes new tech businesses make

1. Selling AI instead of a result. Lead with the problem and the measured result; mention tools later, if at all.

2. Serving everyone. "Any business that wants AI" gives nobody a reason to call you. One niche makes every conversation easier.

3. Building the website before talking to customers. A plain one-page site is enough until you have proof to put on it.

4. Working free for too long. A discounted pilot is fine. Months of free work teach clients your time costs nothing.

5. Hiding the price. Show a starting price. It filters out people who cannot pay and saves both sides a call.

6. Mass messaging. Bulk cold email and automated LinkedIn messages burn your reputation and can break CAN-SPAM or platform rules.

7. Overclaiming. "Saves 20 hours a week" or "99% accurate" without measurement is the exact pattern the FTC has pursued. Say what you measured.

8. Not following up. Most yeses come after a second or third contact. Put a next-step date on every row of your sheet.

9. Skipping proof. End every project with a before-and-after number, a case study request and a review request.

10. Stopping outreach once busy. When pilots start, outreach stops, and two months later the pipeline is empty. Keep a few hours a week for it.

Rules and figures here (CAN-SPAM, the FTC review rule and AI cases, the FCC AI-voice ruling, A2P 10DLC fees, Upwork and Fiverr data and fees) were checked in November 2026. Fiverr’s 20% fee comes from third-party summaries, not Fiverr’s own page. Platform fees and policies change often; check them before you rely on them.