About GenRankEngine

The way B2B software is discovered has fundamentally changed.

Historically, companies optimized for Google. They tracked keywords, backlinks, and SERP positions. But today, decision-makers are bypassing traditional search engines. They are asking ChatGPT, Gemini, and Claude for recommendations.

This shift created a data vacuum. While you can audit your Google rankings in seconds, there was no way to know if an AI model was recommending your product until now.

What is GenRankEngine?

GenRankEngine is the first specialized Generative Engine Optimization (GEO) platform designed for B2B SaaS.

Unlike traditional SEO tools that track blue links, GenRankEngine tracks Entity Recommendations inside Large Language Models (LLMs). We quantify exactly how often your product is recommended by AI, where it ranks in the context window, and the sentiment of those mentions.

Our Methodology

We treat AI visibility as an engineering problem, not a content guessing game. Our proprietary system utilizes a standardized interrogation pipeline:

• 01
  Multi-Model Scanning We perform simultaneous API analysis of GPT-4o, Gemini 1.5 Pro, and Claude 3.5 Sonnet to ensure cross-model consistency.
• 02
  High-Intent Validation We test against 30+ buyer-intent vectors (e.g., "Best alternative to X", "X vs Y pricing") rather than generic keywords.
• 03
  1M+ Token Analysis Our system processes millions of tokens to identify specific schema patterns and content structures that force entity recognition.

Why This Matters Now

The "Blue Link" era is ending. The "Answer Engine" era has begun.

If your brand is not an authoritative entity in the underlying training data of these models, you are invisible to the modern buyer. GenRankEngine provides the data, the schema, and the recovery plans to ensure you are the answer, not just a search result.