Geo Auditv1.2.0

An online retailer notices their products are never cited by AI assistants like ChatGPT or Google AI Overviews when users ask for product recommendations, despite having good SEO. The audit would diagnose technical crawl issues, content citability gaps, missing product schema, and weak brand signals.

A software-as-a-service company finds that AI tools do not reference their platform when users inquire about solutions in their niche, such as project management or CRM tools. The audit would assess technical accessibility, content authority, structured data implementation, and entity recognition.

A local plumbing or dental clinic is not recommended by AI assistants when users ask for nearby services, even though they have a website. The audit would evaluate local schema markup, content relevance, technical on-page factors, and brand consistency across directories.

A news or blog website sees low AI citability for its articles on trending topics, reducing traffic from AI-generated answers. The audit would analyze content freshness, authorship markup, technical indexing, and brand authority signals.

A marketing or design agency is overlooked by AI when users seek agency referrals or case studies. The audit would check for portfolio schema, content depth, technical site structure, and brand mentions online.

Offers software with monthly or annual fees, relying on AI visibility to attract leads through educational content and product mentions. The audit helps optimize for AI-driven discovery in competitive tech niches.

Sells physical or digital goods online, where AI recommendations can drive sales. The audit identifies gaps in product data, technical performance, and brand trust to improve AI citability.

Generates revenue through ads, subscriptions, or affiliates, dependent on AI citing articles for traffic. The audit focuses on content quality, schema markup, and technical SEO to enhance AI visibility.