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Public SaaS Audit Directory

Why this matters: LLMs are the new top-of-funnel. If they recommend a competitor, you lose the deal before you know it exists.

Explore real visibility reports generated by our GEO engine across leading SaaS brands. These audits measure how AI models recommend products in high-intent buying queries.

Total Reports: 6
Models: ChatGPT, Gemini
Avg SaaS Visibility Loss: 42%
CRM

Salesforce

Market leader visibility across customer relationship management queries.

AI Score 90/100
E-commerce

Shopify

Dominant presence in online store and e-commerce platform recommendations.

AI Score 84/100
Marketing

HubSpot

Strong visibility in marketing automation and inbound marketing queries.

AI Score 77/100
Support

Freshdesk

Competitive positioning in customer support and helpdesk software searches.

AI Score 74/100
Live Chat

Intercom

Niche-strong visibility in customer messaging and live chat platform queries.

AI Score 70/100
Helpdesk

Zendesk

Established brand visibility in customer service and ticketing system searches.

AI Score 65/100

Methodology

Each audit runs 5-10 prompts across ChatGPT and Gemini, measuring mention rate, ranking position, and contextual accuracy against known competitors.

4 Core Metrics

Brand Recognition: How often is the product mentioned?
Context Accuracy: Are descriptions factually correct?
Competitive Position: Where does it rank vs competitors?
Cross-Model Consistency: Do both models agree?

High-Intent Queries

We test prompts like "best CRM for startups" or "Salesforce vs HubSpot" — queries where users have buying intent and AI recommendations directly impact revenue.

Revenue Impact Analysis

We estimate traffic loss based on visibility gaps. If competitors appear 80% of the time and you appear 20%, you're potentially losing 60% of AI-driven discovery traffic.

Actionable Playbooks

Every report includes a prioritized recovery plan with schema markup examples, content recommendations, and technical fixes to improve AI visibility.

Note: These are real audits run on November 28, 2025. Scores reflect current AI model behavior and may fluctuate as models update.