Insights

The Handshake Framework: how to build your own algorithm

By Adam Sprague · Updated June 15, 2026

The Handshake Framework is Hit My Algo's system for making the algorithm and AI work with you instead of against you. A handshake is how you befriend a person and how machines connect, so the framework treats the algorithm as a friend, not an enemy. You set everything up so machines can read you, you speak consistently, you stay human, you watch the numbers that actually matter, and you iterate until you fall into a groove where you know what will perform, how often, and when. The promise: build your own algorithm.

What is the Handshake Framework?

Hit My Algo's system for making the algorithm and AI work with you instead of against you. More concretely, it is a six-part system for becoming the thing algorithms and AI engines surface, trust, and recommend. Most people treat the algorithm like an opponent to beat or a slot machine to chase. This framework does the opposite: it makes you legible and trustworthy to the machines, so they work in your favor by default. You set the foundation once, run a simple weekly loop, and let consistency and real data do the compounding.

It applies to both sides of modern visibility: the social algorithms that decide who sees your content, and the AI engines that decide who gets named when a buyer asks for a recommendation.

Why treat the algorithm as a friend?

Because fighting it does not work, and chasing virality is a coin flip. A handshake is the gesture of trust between two people, and it is also the word for how two machines connect before they exchange information. That is the whole idea. When you make your identity consistent, your content readable, and your signals clear, the algorithm stops guessing about you and starts confidently putting you in front of the right people. You are not gaming it. You are introducing yourself properly and letting it do its job.

Why I built this

The real reason I built this is the opportunity in front of all of us right now. The Model Context Protocol, the emerging open standard for how AI systems connect to and read the world, is a massive shift, and most people, brands, and creators are not moving on it yet. I did not have a coding background to get it at a glance, so I went down the rabbit hole and studied it for months. What I came away with is that this is foundational, and almost nobody is looking at what it means for how AI finds and recommends you.

That is the opportunity, and it is also why this never feels like a hard sell to me. A simple shift, these six pillars, gives you a real leg up right now, while the big companies are still stuck in their bureaucracy and approval loops. If you start now, you can stack up more citations than your competitors in almost any industry before they realize the ground moved. Most small businesses will not catch this for years. Honestly, having something this valuable and not telling people about it would feel like a disservice. I am not pushing a product. I am handing you an edge I believe in, before the window closes.

One principle holds the whole system together: you use AI to write from your voice, not with it. The machine amplifies the real you, it does not replace you with generic, soulless output. And I will be honest about a secondary motive too. I hate scheduling posts. You set this up once, and after that the weekly load drops off a cliff.

What are the six pillars?

The framework runs in sequence. Each pillar sets up the next.

How does each pillar work?

1. Claim your ground. Before you lay track, you need land. Set up your real estate: your profiles, bios, links, buttons, and handles, AEO-optimized and consistent across every platform, so AI and people get the same clear read on you wherever they find you. This is the static foundation you build once, and it is distinct from Pillar 2, which is the consistency of your vocabulary and terminology in the actual content.

2. One voice. Consistent brand language everywhere you show up. To algorithms and AI engines, consistency reads as identity. Say the same things the same way, and you become a recognizable entity instead of noise.

3. Human-first structure. Structure your content so AI can parse it easily while it stays human. No over-optimization. Flaws and personality stay in. The line to hold: optimized enough to get found, human enough to get followed.

4. A track AI can follow. A funnel so clear that an AI could walk a prospect down it. If a machine can follow the path from "who are you" to "how do I work with you," so can a person.

5. Real signals. A realtime custom analytics dashboard tracking the metrics that actually matter, including per-piece attribution through UTM tracking, so you know which exact post drove a result. Not likes. Not follower counts. The signals that tie content to outcomes.

6. Your machine-readable station. Your site or landing page, built so machines can read it: schema, an llms.txt file, raw HTML, and consistency checks. Buyers already ask AI who to hire, and AI only recommends what it can read. If your home is not machine-readable, you do not show up in that answer.

Which pillars do people underestimate?

Pillars four and six, a track AI can follow and your machine-readable station, and they get underestimated because they only work at full power together. Think of it like a railroad system. Every post you make can lay a new track that runs back to your station, your website. The more often that track gets traveled, and the more often your railroad actually delivers someone to the destination, the more AI trusts your system and cites it.

For this to work, AI has to be able to follow your funnel literally, in the code, so it can walk a customer through it step by step. Picture someone asking ChatGPT or Claude to find a doctor's office or a restaurant nearby, or to decide which SaaS platform to use. You want the AI to offer the next step on its own: "Would you like to start a free trial?" and hand over the link. "Would you like to call and book an appointment?" and hand over the number. "Would you like me to set the appointment for you?" and pull up your scheduling link to pick a time. That only happens if your funnel and your home are built to be machine-readable.

That funnel running back to your machine-readable station is the future, and the data backs it heavily. Move early. Build your railroad.

Where does "film once a week" fit in?

This is the part that makes the framework livable. You do not run six pillars by hand every day. You film raw content about once a week, and that single weekly input feeds the system: it becomes your consistent voice (pillar 2), gets structured to stay human and findable (pillar 3), and flows down the funnel (pillar 4) while the dashboard tracks what works (pillar 5). The foundation pillars, your identity (pillar 1) and your machine-readable station (pillar 6), get set up once and maintained.

So your weekly job is small and repeatable: show up, film, share your perspective. The framework turns that into a consistent, compounding presence.

What is the result?

You stop guessing, because the system shows you what is working. The dashboard tracks real signals down to the individual post, so you can see exactly which content drove reach, engagement, and leads, then double down on the winners instead of starting from scratch every week.

It also feeds you the next move. The system reads current news, what is trending, and real research-backed sources, then surfaces concrete ideas: a topic worth your take, an angle worth an article, a moment worth jumping on while it is hot. So every cycle you are making more of what already performs, pointed at what your audience is paying attention to right now.

That is what "build your own algorithm" means. Not a feeling that something will work, but a repeatable, data-backed loop: see what performs on the dashboard, double down, get fed the next idea, repeat. The proof is in the metrics, not in your head.

If you want to run the Handshake Framework for your brand, apply to work with Hit My Algo. Applications are reviewed within 48 hours.

FAQ

What is the Handshake Framework?

Hit My Algo's system for making the algorithm and AI work with you instead of against you. It is built on six pillars: claim your ground, one voice, human-first structure, a track AI can follow, real signals, and your machine-readable station. The goal is to make machines read, trust, and recommend you, so you can build your own algorithm.

What does "build your own algorithm" mean?

It means reaching the point where you know what content performs, how often to post, and when, so your reach is predictable instead of a gamble. You are not controlling the platform's algorithm. You are building your own reliable understanding of what works for your audience.

Do I have to do all six pillars?

They work best in sequence, because each one sets up the next. You can start with the foundation (identity and your machine-readable station) and build from there, but the compounding really comes from running the whole loop consistently.

How much work is this for me?

Most of it is filming raw content about once a week and sharing your perspective. The setup pillars are handled once, and the weekly loop is designed to run without taking over your calendar.

Do I have to film?

For the best results, yes. Filming is where you see the fastest growth, because video builds trust and authority faster than almost anything else. But it is not required. If filming is not for you, the system can run almost entirely hands-off without it, and you still get a consistent, machine-readable presence. Video just accelerates it. Do not let camera nerves stop you from starting.