How a founder built two API products to $5K MRR with a repeatable SEO playbook

Jonathan Geiger's SocialKit and PostPeer generate a combined $5,000 MRR by systematically executing a content and SEO strategy from day zero. The playbook is public, and so are the numbers.

Jonathan Geiger's two API products, SocialKit and PostPeer, generate a combined $5,000 in monthly recurring revenue. This figure is supported by public dashboards. The growth engine is not a novel channel, but a disciplined, repeatable SEO playbook executed across six different products, two of which were previously sold for a claimed $15,000 and $7,000.

SEO as the product's foundation

Geiger begins search engine optimization work before or during product development, not after. The strategy treats SEO as a core product feature. This involves creating dedicated landing pages for each API feature, detailed use-case pages, and publishing one to two relevant blog posts per week.

A key component is technical SEO setup from the start. Geiger emphasizes submitting the product's sitemap to Google Search Console and building both internal and external links. For new domains, he uses a service to submit his products to multiple directories to accelerate initial backlink acquisition.

Content that maps to user intent

The content strategy is built around mirroring customer search behavior. Geiger reports using Google to search for solutions just as his potential customers would, then creating content that directly answers those queries. This results in a library of how-to guides and tutorials, produced in both text and video formats.

He also builds free tools, like a YouTube transcript extractor, that rank for specific keywords and attract relevant traffic. A significant portion of this traffic converts to paying users for the core API products. The most effective content types, he claims, are competitor and alternative comparison pages. He reports that paying customers found his products through LLM recommendations that surfaced his competitor comparison pages.

Distribution beyond the blog

Content is repurposed and distributed across multiple platforms. A single blog post is broken down and reshaped into formats suitable for TikTok, Instagram, LinkedIn, and X (formerly Twitter). This maximizes the reach of each piece of content without requiring entirely new creation.

The founder also practices building in public, sharing metrics and playbooks in forums like Reddit. He attributes the acquisition offers for his previous two products, CaptureKit and LectureKit, directly to this transparency.

High-touch support as a moat

Geiger identifies rapid customer support as a key differentiator that larger, more established competitors cannot easily replicate. He claims to reply to customer inquiries in minutes. This commitment to speed is frequently mentioned in positive customer reviews and serves as a non-technical moat for his products. This direct interaction also revealed a surprising customer segment. He initially built for developers but discovered a large user base among no-code and automation professionals.

What We'd Change

The playbook is a well-documented blueprint for bootstrapping an API product with SEO. Its primary strength, and weakness, is its reliance on classic, compounding tactics. While effective, these methods are becoming table stakes. A founder attempting to replicate this in a more saturated market today would face significantly more competition on search engine results pages.

The heavy use of "competitor/alternative" pages is a known gray-hat tactic. It is highly effective for capturing high-intent search traffic but carries risks. Aggressive competitors may issue legal challenges, and search engines could penalize sites that appear to be low-quality affiliate content. Execution must be high-quality, offering genuine comparison rather than just keyword stuffing.

The model is also heavily dependent on a single channel. A significant Google algorithm update could erase visibility and revenue overnight. Diversifying into other channels, even if less efficient initially, would build a more resilient business. The founder's own data shows paid ads were ineffective, but other avenues like developer-focused communities or targeted partnerships remain unexplored.

Landing

Geiger’s strategy is not about discovering a secret growth hack. The playbook's power is not its novelty, but its consistent, multi-product application. He has turned a standard set of SEO practices into a repeatable manufacturing process for generating initial traction for developer-focused tools. For founders building similar small-scale, high-margin products, this discipline is the central lesson. The future bet on AI agents as a new user class demonstrates an attempt to apply this same playbook to the next platform shift.

The investor read

This is a classic bootstrapped, SEO-driven micro-SaaS play. The founder is building a portfolio of small, cash-flowing assets, not a venture-scale business. The claimed exits ($15K, $7K) confirm this model: build, grow to a modest ceiling, sell, and repeat. The strategy is high-leverage for a solo founder but carries significant single-channel risk via Google algorithm changes. The public MRR dashboards provide transparency uncommon in this space, building trust for potential micro-acquisitions. The founder's bet on AI agents as a new user base is a low-cost experiment on a potential platform shift. This is not an investable business in the traditional VC sense, but it is a durable model for generating independent revenue streams.

Pull quote: “He reports that paying customers found his products through LLM recommendations that surfaced his competitor comparison pages.”