AI Shift in SEO
Senior Technical Product Manager - API
New product line for AI agents. 40 customers drove 50% of new revenue. $10K MRR in 2 months
TL;DR
Built a new product line targeting AI agent developers and LLM builders. 40 customers (19.8% of total) drove 50% of new revenue, achieving $10K MRR in 2 months and landing $30K ARR accounts.
Context
The SEO market was evolving toward AI agents and LLMs. Rather than repositioning the existing API, I saw an opportunity to create an entirely new product line serving this emerging segment.
Problem
- Traditional SEO tools weren't built for AI/LLM use cases
- AI developers needed different data formats and access patterns
- No product specifically targeting AI agent builders
- Needed to capture the growing LLM market before competitors
What I Did
- Market Analysis: Identified the AI agent/LLM builder segment as underserved
- Product Design: Built for scale with 250 RPS per account to handle AI workloads
- Positioning: Created distinct product positioning for AI developers vs traditional SEO users
- Enterprise Sales: Positioned for enterprise with dedicated support and higher-tier pricing
Key Decisions
New Product Line, Not a Pivot
Instead of repositioning the existing API, created a separate product line. This allowed for different pricing, positioning, and feature priorities.
Scale-First Architecture
Designed for 250 RPS per account from day one, anticipating AI agent workloads that process data at scale.
Enterprise-Ready
Positioned for enterprise with dedicated support tiers, enabling $30K ARR accounts.
Technical Details
- High-Throughput Design: 250 RPS per account with burst handling
- AI-Optimized Responses: Structured data formats optimized for LLM consumption
- Batch Processing: Bulk endpoints for processing multiple queries efficiently
- Webhook Callbacks: Async processing for large-scale data retrieval
Results
Lessons Learned
- New markets need new products: Trying to serve AI developers with an SEO-focused product wouldn't have worked. Separate positioning was key.
- Scale is a feature: AI developers evaluate APIs differently—throughput and reliability matter more than feature count.
- Enterprise pays for value: Higher pricing attracted better customers who valued dedicated support.