Strategies we used to generate results distilled into scalable AI workflows
How usevisuals turned 70,000 followers, 200,000 search visitors, and 1M monthly Pinterest impressions into a ready-to-run AI marketing workflow.

Thomas Halbritter
Founder of usevisuals

40M+
Social impressions
70K+
Followers
12M+
Search impressions
How usevisuals turned three years of content, SEO, and visual marketing into the GTM Agent Kit
Three years ago, usevisuals was built almost entirely through manual content. Every post started from a blank page, then moved into Figma, where the idea had to become a visual argument. I focused heavily on carousel posts because they were one of the best ways to explain useful concepts quickly, give value in a short format, and make the brand feel more credible than its size.
At the beginning, growth was slow. But I kept creating, publishing, and refining the process every day. Over time, that consistency turned into traction, and usevisuals grew to around 70,000 followers across platforms like TikTok and Instagram.
The growth was worth it, but it came with a clear cost. Every carousel took time to research, structure, design, write, edit, export, and publish. The more consistent the content became, the more obvious the tradeoff became, because every hour spent on content was an hour not spent building the product.
The real lesson was consistency
The most important lesson was not that carousel posts work. The deeper lesson was that consistency compounds when the content is useful, clear, and visually strong. The process worked because each post became a small feedback loop, where the results shaped the next idea, the next structure, and the next visual decision.
That feedback loop mattered as much as the content itself. Over time, I learned which hooks worked, which formats were easier to understand, which visuals helped people save or share a post, and which topics created real interest. The system improved because it was used repeatedly, not because it was perfect from the start.
This is also where most founders struggle. They do not fail because they do not know content matters. They fail because consistent execution is difficult when every post, article, newsletter, or resource starts from scratch.
The same pattern appeared in search
Around two years ago, I started applying the same consistency principle to SEO. The work was different, but the underlying process was similar. Instead of designing carousels every day, the focus shifted to keyword research, search intent, article structure, internal linking, visual support, and publishing enough targeted content for the system to compound.
Search became a major growth lever because the content continued to work after publication. By consistently creating targeted blog posts, usevisuals generated more than 200,000 visitors from search. The important part was not one perfect article, but a repeatable process for finding relevant topics, writing useful content, and publishing consistently.
That process also required a lot of operational discipline. Keyword research, writing, editing, formatting, and visual creation all had to happen again and again. SEO felt passive after the content was published, but the system behind it was not passive at all.
Pinterest proved the same point again
Pinterest became another example of the same principle. The strategy was not complicated, because the core idea was repurposing visual content that already existed. Carousel concepts could be adapted into Pinterest-friendly assets, and the distribution started compounding through consistent publishing.
At its peak, Pinterest generated around 1 million impressions per month for usevisuals. The lesson was again not that one platform had a magic formula. The lesson was that clear visual content, adapted to the right format and published consistently, can become a serious distribution asset.
Across social, search, and Pinterest, the pattern was the same. Growth came from useful ideas, strong packaging, repeated execution, and constant refinement. The problem was that doing all of this manually takes a lot of time.
Turning the process into a workflow
The GTM Agent Kit was built from that realization. Instead of treating the usevisuals process as something that had to stay manual, I started turning the underlying strategy into a structured workflow for AI agents. The goal was to take the content strategy, visual taste, writing rules, SEO patterns, and consistency loops that helped usevisuals grow, then make them usable inside the AI tools founders already use.
This is why the kit is not just a prompt pack. A prompt can help with one output, but it does not create a repeatable marketing process by itself. The GTM Agent Kit gives your AI agent context, structure, workflows, design direction, and output rules, so it does not start from a blank chat every time.
The setup is intentionally simple. You add your business context once, including your product, ICP, positioning, brand voice, visual references, and content preferences. Then the included workflows help your AI agent create social posts, blog posts, newsletters, and lead magnets from that context.
What AI changes
AI changes the economics of consistency. The work that used to take hours in Figma, documents, spreadsheets, and blank chats can now be partially moved into a structured agent workflow. The founder still provides judgment, direction, and review, but the repetitive work becomes much easier to run.
For social content, the agent can help with ideas, captions, carousel structures, platform-specific posts, and visual directions. For blog content, it can help with topic selection, research, SEO structure, article drafts, and featured visuals. For newsletters and lead magnets, it can turn product knowledge and market insight into deeper assets that nurture an audience and explain the product more clearly.
The point is not to remove taste or strategy. The point is to encode more of that taste and strategy into the system, so the AI agent has better instructions than a generic prompt. This makes the output more useful, more specific, and easier to improve over time.
The workflow improves with feedback
One important part of the usevisuals growth process was refinement. Every post, article, and platform taught something about what worked. The GTM Agent Kit keeps that principle, because the folder can evolve as you give the agent feedback.
If an output feels too generic, you can adjust the brand context. If a visual direction is too weak, you can add better references. If a post performs well, you can feed that learning back into the workflow and make future runs stronger.
This makes the kit less like a static download and more like a living marketing folder. It starts with proven structure, but it becomes more specific as the founder reviews outputs, adds preferences, and updates the context. The same feedback loop that helped usevisuals improve manually can now become part of the agent workflow.
Why this matters for founders
Most founders already know they should publish more consistently. They know they should explain their product better, build trust, create useful resources, and show up more often in front of their market. The problem is that marketing work keeps competing with product work, customer work, and everything else required to build the company.
This is especially true for AI-native founders and lean teams. They already use AI tools, but their marketing still often happens through scattered prompts, occasional posts, and inconsistent execution. They do not need another SaaS dashboard as much as they need a simple way to make the AI tools they already use more structured.
The GTM Agent Kit is built for that exact gap. It helps turn the founder’s product knowledge into recurring marketing assets without forcing them to rebuild the process every week. It gives the AI agent a workflow, not just a task.
The conclusion
usevisuals grew through consistency, visual clarity, SEO execution, repurposing, and repeated improvement. That process generated around 70,000 followers, more than 200,000 search visitors, and up to 1 million monthly Pinterest impressions. It worked, but it was manual, time-intensive, and difficult to sustain while also building the product.
The GTM Agent Kit turns those learnings into a ready-to-run folder for the AI agent you already use. It helps you create social posts, blog posts, newsletters, and lead magnets from your own business context. It is not another SaaS platform, not a service, and not a generic prompt bundle.
If you already use AI, the next step is not another blank chat. The next step is a workflow that helps your AI agent understand your product, your audience, your brand, and your marketing rhythm. That is what the GTM Agent Kit is built to provide.
