by Do you sell digital marketing services and assets? Wondering how AI can help you close a client in the first meeting?
In this article, you'll discover an AI workflow to research a prospect, match their brand, and build a working prototype before the first meeting—proving your value upfront.
A Different Way to Pitch Your Services
Most people approach a sales conversation believing they have to convince the client to buy. Etan Polinger argues that when you show up with the right preparation and the right assets, you remove the “I hope they choose me” energy from the room entirely.
That flip is what AI makes possible. Etan explains that you can now come to the table with so much value created that instead of you pitching, the prospect feels like they'd lose something if they went elsewhere.
This is a different way of selling than most people are used to, and it only works because of AI. Etan points out that before these tools existed, doing this much unpaid preparation for a single prospect would have been completely unreasonable. Now one person, or a small team, can do the work that used to take many people a long time.
The payoff, in Etan's experience, is the ability to choose the clients you actually want to work with and a close rate that climbs dramatically. He's careful not to be hyperbolic about it—this is what he's seen firsthand and what he's seen from the people he's taught—but the pattern holds: when you show up this prepared, the deal is likely, and the real question becomes whether you want to take the client on.
The Process in Action
While in a digital community, Etan spotted a prospect asking for a custom widget. He stepped in with a simple, “I think I can help,” and got to work.
He walked into the first meeting with a functional prototype, a custom design system, and a branded proposal deck. He had spent less than four hours of prep and was already 80% of the way to a finished product.
On the call, the dynamic completely flipped. Instead of Etan sweating the pitch, the prospect grew anxious, asking if Etan even had the bandwidth to take them on. The deal closed.
#1: Understand the Prospect's Ask
The work starts with understanding what the prospect actually wants.
Whether you see a post or comment in a group you’re part of or receive a direct inquiry from the prospect, you need to start by nailing the one-sentence outcome.
Etan's favorite first move is dead simple. He copies a prospect's message or even a live meeting transcript and pastes it into AI with a prompt like:
I just saw this message. What do they want? Answer in one sentence that anyone can understand.
Etan stresses staying outcome-oriented rather than getting tangled in the technical stack. The prospect doesn't care whether it's built in JavaScript; they just want the widget. Once you know the outcome, the options open up, because most people know what they want but not how to get there.
In Etan’s example, the AI returned a clear read: The prospect wanted a chat widget.
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I'M READY FOR REAL AI RESULTSThe next question is simply whether you can help. Etan uses AI to confirm he understands the ask well enough to deliver this asset, and only once that's settled does he move into the deeper, personalizing research.
Once Etan tells a prospect, “I think I can help,” he considers himself already invested and prepares.
#2: Use Deep Research to Profile the Person, the Company, and the Market
Etan runs three focused, separate research passes to understand the person making the ask, the company, and the market in which it operates.
Splitting the research keeps the model's full compute and depth aimed at one category at a time, so it can go as deep as possible.
Etan recommends using a deep research tool from ChatGPT, Claude, or Gemini for this, and offers a shortcut for the prompt itself: rather than writing it yourself, ask the AI to build you a deep research prompt for what you want to research.
He estimates the whole process of running the research and reading the articles the AI generates for him takes him roughly an hour.
Research The Person
You want to know who they are, what they're saying online, their stances, and the problems they face.
Everything Etan gathers about a person shapes how he presents the deliverable he eventually brings to the meeting.
In an ideal case, the prospect has done podcast interviews or YouTube videos, and he can pull those transcripts to see exactly how they speak. Short of that, he scrapes their website and public profiles because what people choose to say about themselves tells you a lot.
Research The Company
You want to understand the business model and what they're actually trying to accomplish. This is easier for larger companies with a large online presence. A small or local business with little online presence, such as a construction company, is much harder to research, so you have to lean on whatever signals exist and accept that you'll learn less about them.
Research The Market & Opportunity
You want to learn who else is building solutions like the one the prospect wants, and how AI is being used in that space right now.
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For cold outreach, where the prospect hasn't told you what they want, Etan suggests pointing AI at whatever they've published; job postings are especially useful here. A company's open roles show what it's trying to accomplish even when it hasn't said so directly, so running those listings through AI can surface what the business is actually working toward.
Doing the market research also gives you a built-in safety net. Because you've mapped the alternatives, you're not locked into a single custom build and can still win the contract. For example, if the prospect decides they don't want something built from scratch, Etan can pivot on the spot. “No problem, I'll set up and configure one of the existing out-of-the-box platforms for you for [cost].
#3: Create a Working Style Guide to Match Your Prospect’s Branding
This is where the preparation becomes something the prospect can see and touch. Etan's goal is to present a wow moment, something real that could actually help the business.
Etan is upfront that he's not a branding or design expert. He came up as a performance marketer, so he leans on tools in this stage.
He uses WhatFont to identify the fonts on a prospect's site and ColorZilla to grab the hex codes of their brand colors. Then he takes a few screenshots of the website and the logo.
He uploads all of the images and information into Claude Design’s Design System tab.
Pro Tip: Manual extraction of branding elements is largely a backup. Etan says Claude Design is capable enough that you can simply upload screenshots of the prospect's site, and it will discern the color palette and brand style on its own.
Claude Design uses the uploaded information to produce a robust brand or style guide in the form of a folder of code snippets for specific UI and UX elements: the headers, footers, color options, and even the data graphs, each built to match the prospect's brand. While not perfect, Etan describes it as good-enough to create on-brand assets better than most of a company's own employees could.
#4: Create the Prototype and Presentation
Because your AI-generated style guide lives in a portable code folder, it becomes the foundation for two distinct assets you will bring to the meeting.
The Functional Prototype
Drop the style folder straight into a building environment like Claude Code or Replit. Use natural language to instruct the AI to build out the mechanism:
Build a chat widget that uses these exact brand buttons.
This is what developers call vibe coding. You don't need to be a coding genius; you just need to direct the AI toward a functional outcome.
When you click through a live, perfectly branded tool on your very first call, you aren't just selling an idea or a promise; you are demonstrating a finished reality.
The Pitch Deck
With the widget prototype done, you can point ChatGPT or Gemini toward your deep market research to build a tailored proposal deck.
Pop screenshots of your newly minted, working AI widget directly into the slide deck.
Etan Polinger is an AI consultant who helps entrepreneurs and businesses scale with AI chatbots, automation, and AI agents. He is the creator of the AI Integrator Certification—Agents, Automation, and Deployment course at Chief AI Officer. Follow him on LinkedIn.
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