Why We Build Our Own SEO Tools (And Why It's a Competitive Moat)
Off-the-shelf SEO tools can't enforce a methodology or connect workflows end-to-end. Here's why we build our own — and why it compounds into an advantage.
Author:
Yaron Avisar
SEO without the guesswork
20 years of methodology, encoded into agents. Here's how we think about SEO, AI, and building systems that deliver.
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From Gap Analysis to Content Plan: How Multi-Step Keyword Clustering Builds a Content Roadmap
Thousands of keywords from a gap analysis are useless without a system to organize them. Here's how multi-step clustering turns raw data into an actionable content roadmap.
Author:
Yaron Avisar
AI Content Quality at Scale: Why Most AI-Generated Articles Fail and How to Fix It
Most AI content fails not because the model is bad, but because nothing around it is engineered. Here's how a 56-step content chain with a per-client Brand Kit keeps the thousandth article as on-brand as the first.
Author:
Yaron Avisar
Content Brief Strategy: Why SEO, AEO, and GEO Optimization Starts at the Brief
Most teams skip straight to "write me an article." We treat the brief as half the job — because that's where SEO, AEO, and GEO optimization actually happens.
Author:
Yaron Avisar
Competitive Landscape Analysis: How to Map Your Entire Market in Minutes
Most competitive analyses take days and still miss half the picture. We built an automated platform that maps an entire market landscape in minutes.
Author:
Yaron Avisar
Unified SEO Reporting: How We Connect Actions to Outcomes in One Weekly View
Most agencies report on what happened separately from what they did. We built a unified system that ties operational data to performance data across six dimensions.
Author:
Yaron Avisar
What Is Agentic SEO? (And Why It's Not Just "AI for SEO")
The difference between telling AI to "audit this website" and encoding 20 years of methodology into agents that execute it consistently.
Author:
Itay Malinski
How to Build SEO Agent Skills That Actually Work
Skills are folders, not files. Here's how we built a crawler in 5 versions, encoded 10 failure modes, and hit 99.6% approval on 270 recommendations.
Author:
Itay Malinski
