AI GTM Strategy
Generate a Custom Go-To-Market Strategy with AI
Describe your technology, its stage and your goal. The free generator writes a commercialization strategy covering the pathway, target segments, pricing, a launch plan, risks and five validation experiments, and emails it to you.
How it works
- Describe the technology. Name, industry, development stage, your commercialization goal, what it does, what is novel and what evidence you have so far. You can add a target customer if you have one in mind. You also tell it your role (researcher, tech transfer officer, startup founder or corporate innovation), because the report is written differently for each.
- Confirm your email. The tool sends a confirmation link to the address you gave. This keeps the free tool from being abused and means the report reaches you.
- Get the report. Once you confirm, the report is generated and emailed to you, with a preview on screen.
- Go deeper if you want. Three optional follow-ups build on your report: pressure-test the pricing, turn the first validation experiment into a step-by-step protocol, or draft first-contact outreach emails matched to your pathway and segments.
The generator is told to calibrate to development stage. A TRL 3 concept should get advice about validation, funding and licensing readiness, not an enterprise sales motion. If you are not sure of your stage, run the TRL assessment first.
What the report covers
Every report has the same ten sections, so you can compare strategies for different technologies or different goals for the same one.
1.Executive summary
The recommendation in a few paragraphs, written for the role you selected.
2.Market assessment
An overview, an estimated market size, growth outlook and competitive landscape. For industries where Commercify has a market map, the model is given published third-party estimates with their sources and told to cite them as estimates.
3.Recommended pathway
License, spin-out, strategic partnership or direct sales, with the rationale and the alternatives worth considering.
4.Target segments
Three segments, each with its pain point, value proposition and why now.
5.Pricing strategy
A recommended pricing model, the reasoning behind it, and pricing guidance.
6.Launch plan
Three phases, each with a timeframe, objectives and key actions.
7.Risks
Four to six risks rated high, medium or low, each with a mitigation.
8.Validation experiments
Five experiments, each with the assumption it tests, how to run it, a success metric and a timeframe, designed to be runnable within 90 days without outside funding.
9.Funding and resources
Recommendations and relevant programs, such as SBIR/STTR topics, accelerators or university gap funds.
10.Next steps
Concrete actions for the next 30 days.
What a go-to-market strategy for new technology has to answer
A go-to-market strategy for a research-derived or deep-tech product is different from one for a consumer app. The technology may not be finished, the buyer may be a licensee rather than an end customer, and the first sale may take a year or more. A useful strategy answers a few questions in order.
Which pathway? Licensing suits technologies that fit an existing company's product line and need that company's manufacturing, regulatory or sales capacity. A spin-out suits technologies that can become a product or platform on their own and have a team willing to build it. A partnership sits in between, sharing development cost and risk. Selling directly is realistic only when the product is close to market-ready.
Which customer first? Most technologies could serve several markets. The first segment should be the one with the most painful problem, the shortest path to a purchase decision and the least demanding requirements for the technology at its current stage. Other markets come later.
What will they pay, and how? Price follows from value to that first segment, checked against costs and alternatives. Our pricing guide covers the methods, and the pricing calculator compares them with your numbers.
What has to be proven before scaling? The plan should name the riskiest assumptions and the cheapest way to test each. That is why every report ends with validation experiments and 30-day next steps rather than a five-year forecast.
Limits you should know about
- The report is written by an Anthropic Claude model following Commercify's instructions. It is not a proprietary model and it has not been trained on commercialization outcomes.
- It knows only what you tell it plus general knowledge and, for some industries, the sourced estimates from our market maps. It does not search patent databases, funding records or the live web.
- Numbers such as market sizes and price ranges are estimates. Check them against a named source before putting them in a pitch or a license negotiation.
- Nobody at Commercify reviews the report before you receive it, and there is no saved history: keep the email.
Frameworks to use alongside your report
The generator does not apply these frameworks by name, but its report gives you most of the inputs they need. These guides explain how to use them.
Porter's Five Forces
Supplier power, buyer power, rivalry, substitutes and new entrants. Useful for testing the competitive landscape section.
Read the guide →Blue Ocean Strategy
Looking for market space where you are not compared directly with incumbents. Useful when choosing among target segments.
Read the guide →Diffusion of Innovations
How adoption moves from innovators to the mainstream. Useful for deciding who the first customers should be.
Read the guide →Frequently Asked Questions
Is the GTM strategy generator free?
Yes. There is no paid plan and no account. You need a working email address, because the tool sends a confirmation link before it generates the report and then emails the report to you. Usage is rate-limited to keep costs under control.
What information do I need to provide?
Your name, email, organization and role, then the technology name, industry, development stage (from concept to market-ready), your commercialization goal (or ask it to recommend one), a description of what the technology does and the evidence so far, and optionally a target customer. The more specific the description, the more specific the report.
Which AI model writes the report?
The report is written by an Anthropic Claude model, using instructions written by Commercify that ask for stage-appropriate, specific recommendations and plain statements where evidence is thin. It is a general-purpose language model, not a proprietary model trained on commercialization deals.
How reliable is the strategy?
Treat it as a well-organized first draft. It can be wrong, and any numbers in it, such as market sizes or price ranges, need checking against named sources before you rely on them. Its most useful parts are usually the ranked risks and the validation experiments, because they tell you what to test next.
Can a person review the strategy?
Commercify does not offer expert review of generated strategies. For B2B SaaS founders and revenue leaders, our GTM engineering service builds the systems to test a go-to-market plan with real buyers; it is currently a waitlist, scoped per engagement. For research technologies, your technology transfer office and customer discovery programs such as NSF I-Corps are good sources of review.
Does it use Porter's Five Forces or Blue Ocean Strategy?
Not explicitly. The instructions do not name specific frameworks. The report covers competitive landscape, segments, pricing and risks, which overlap with what those frameworks examine. If you want to apply a framework formally, our framework guides explain how, and the report gives you most of the inputs.
Ready to draft your GTM strategy?
It is free and takes a few minutes to fill in. You will get a confirmation link, then the full report by email.