I have a very negative view on agentic social media marketing and don't believe it works. Can you help break me out of this mindset?
The term "agentic social media marketing" just means using AI agents to help with your social media efforts. Agents can assist in many ways. For example, each week we let an agent scrape all the content I've produced—videos, transcripts, docs, posts across communities—and build a giant knowledge base. Then a person reviews the agent‑generated summary, extracts the high‑value takeaways, and uses them to draft posts. The agent does the heavy lifting of gathering and organizing information, but a human still signs off and creates the final piece. This setup is great for ideation and making the administrative side easier, but I wouldn't replace the human entirely. Your negative view likely comes from seeing people try to fully automate everything and ending up with low‑quality AI output that no one cares about. In my work I use AI behind the scenes to handle non‑client‑facing tasks, then I showcase the real results to the audience, which is why my content still resonates.
Yes, offering social media services to small businesses is a possible start, but I'd recommend leapfrogging directly to selling AI services. Business owners see AI in the media and hear about it from friends, yet they don't know how to implement it beyond copying ChatGPT outputs—this creates a strong, inherent need for AI implementation services. In contrast, social media marketing is now a saturated market where most people already have experience, so there's less novelty and demand. By selling AI services, you tap into a well-established need with clear ROI, making it easier to attract clients without needing extra spending or hiring.
AI servicessocial medialead generationbusiness model
Most people see AI as a simple chatbot that answers questions like a search engine, not realizing it can be woven into a business’s core infrastructure—such as decision‑making routing—to act more like an intelligence that moves information through a network to solve problems faster. Over the next few years, companies that implement AI infrastructurally will see major gains in speed to market, customer‑need identification, and product development. For example, when I posted a job for packaging and ideation, applicants didn’t send simple pitch ideas; they built full applications showing how my YouTube titles and thumbnails would look with real‑time data, demonstrating how deeply AI can surface and address user needs.
Ideal customers are creators who are just starting to standardize their content, have around 10K–100K followers, are at the early stage of exponential growth, and are looking to outsource or work with a team to reduce costs. You can serve them by using a transcript to automatically generate posts for ten social platforms—either fully automated or with a person handling it. To find these leads, scrape Instagram, Twitter, and YouTube for channels in that follower range. For example, use a YouTube scraper with about fifty search terms to get roughly a thousand videos for $5, which corresponds to about six hundred creators. Take the top ten percent (about fifty to a hundred channels), sort them by subscriber count, and then use a YouTube channel scraper to pull contact details from video descriptions—Instagram, website, etc.—giving you Instagram, Facebook, X/Twitter, and LinkedIn profiles. With those contacts, take one of their long‑form YouTube videos and use your system to create customized content for each platform at a marginal cost of just a few cents. Finally, run personalized outreach based on the video or another asset, ensuring each message includes some level of customization.
You fell into the classic trap of building a product before confirming anyone wants it. Instead of guessing, first validate demand: create a bare‑bones MVP of your AI blog writer, spend 30‑45 minutes testing that it works, then go straight to market. Tell prospects you’ve built a system that can generate high‑ranking, news‑based blog posts for just a couple dollars each and that you believe it can save them money or make them money. Offer to jump on a call to discuss. If you get a positive response, then you can invest in building out the full content‑creation system and refining the offer. If you keep building without that feedback, you’ll eventually hit sunk‑cost territory where further effort doesn’t make sense. As a quick test, you could send a few thousand cold emails to gauge interest before doing any more development.