Question 1

What is RankGen?

Accepted Answer

RankGen is a B2B SaaS software platform for Generative Engine Optimization (GEO) that measures, models, and engineers how brands are discovered and recommended by AI assistants and generative search systems. It helps brands across the Middle East and globally optimize their content and positioning for AI search rather than traditional search engines.

Question 2

What is Generative Engine Optimization (GEO)?

Accepted Answer

Generative Engine Optimization (GEO) is the practice of structuring a brand's content, entities, and authority signals so that generative AI systems discover, understand, and recommend the brand. It is the AI-era successor to SEO, focused on citation and recommendation by language models rather than ranking on search result pages.

Question 3

How is RankGen different from traditional SEO tools?

Accepted Answer

Traditional SEO tools optimize for search-engine rankings on Google and Bing. RankGen focuses on Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) — how AI assistants discover, understand, and recommend your brand. It uses techniques like semantic knowledge graphs, answer simulations, model-behavior comparison, and retrieval-citation modeling that are specifically designed for LLM visibility, not page rank.

Question 4

What AI models does RankGen work with?

Accepted Answer

RankGen analyzes brand visibility with its supported discovery model. Its Model Behavior Research Layer separately compares GPT-5 and GPT-5 Mini and detects drift.

Question 5

What is the AI Discovery Score?

Accepted Answer

The AI Discovery Score is a composite metric (0–100) based on results from the supported discovery model. It factors in mention rate, authority role, sentiment, response consistency, and category ownership. Brands use it as a scoreboard for measured AI brand visibility.

Question 6

Does RankGen support Arabic and Middle East markets?

Accepted Answer

Yes. RankGen was built with the Middle East market in mind and supports Arabic and other RTL languages end-to-end — from automatic language detection on website audits to AI content generation in the brand's native language. Category strategies and discovery tests are also adapted to the detected language and target geography.

Question 7

What is the Semantic Knowledge Graph feature?

Accepted Answer

The Semantic Knowledge Graph visualizes how AI models understand your brand's entity relationships — including competitors, categories, attributes, and use cases. It helps you see and optimize the semantic context AI models have about your brand so you can engineer how you appear in generative answers.

Question 8

Can I simulate how AI answers questions about my brand?

Accepted Answer

Yes. The Answer Simulation feature lets you enter any query and see how AI assistants would likely respond, including whether your brand is mentioned, its positioning (leader, recommended, mentioned, absent), strengths, weaknesses, and specific improvement tips. It supports factual, recommendation, comparison, and exploratory prompt styles.

Question 9

What is the GEO Funnel in RankGen?

Accepted Answer

The GEO Funnel is RankGen's eight-phase guided onboarding framework based on Generative Engine Optimization principles: Entity Definition, Entity Context, E-E-A-T Signals, Entity Proof, GEO Keywords, AEO Answers, Validation, and Governance. Completing the funnel produces a GEO Readiness Score and feeds every other module — content engineering, audits, and answer simulations — with a high-quality entity profile.

Question 10

How does RankGen help with category ownership?

Accepted Answer

RankGen's Category Ownership Builder helps you define a Category Definition Statement, Brand Positioning Paragraph, Authority Page Outline, and a 30-60-90 day AI Visibility Roadmap. It also includes a Category Authority Infrastructure module that runs Authority Entity Scans and Entity Gap Tracking against competitors so you can engineer the category for AI to recognize you as the authority.

Question 11

How much does RankGen cost?

Accepted Answer

RankGen offers three plans: Free ($0/month with 1 brand and basic features), Starter ($49/month with 3 brands and 30 AI simulations), and Pro ($149/month with 10 brands and unlimited access to all features). Custom enterprise pricing is available for multi-tenant deployments.

Question 12

Is there a free plan available?

Accepted Answer

Yes. The Free plan includes 1 brand profile, 3 audits per month, 5 content generations, and 5 AI simulations per month. No credit card is required to get started.

Question 13

Who is RankGen for?

Accepted Answer

RankGen is built for B2B brands, SaaS companies, marketing teams, and agencies — particularly across the Middle East and global markets — that want to be discovered, understood, and recommended by AI assistants. Typical users include CMOs, brand strategists, content teams, and SEO leads transitioning to GEO and AEO.