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5,000+ scans run across ChatGPT & Gemini
Scans run by teams at
Analyzing Visibility Across
When buyers ask AI which tools to choose, Basecamp is rarely part of the answer.
The fundamental shift from Information Retrieval to Probabilistic Inference requires a new optimization stack.
| System Component | Legacy Search (Google) | Generative Engine (LLMs) |
|---|---|---|
| Retrieval Logic | Inverted Index Keyword Matching | Vector Embeddings Semantic Proximity |
| Ranking Function | PageRank Link Graph Analysis | Attention Mechanism Context Weighting |
| Visibility State | Deterministic Rank #1 is static | Probabilistic Varies by Temperature/Seed |
| Displacement Risk | Low Visibility Buried on Page 2 | Zero-Click Answer Competitor Synthesized as Truth |
| Optimization Target | HTML DOM Structure & Meta Tags | Context Window Knowledge Graph Injection |
We test your domain against 30+ buyer-intent prompts on GPT-4o and Gemini.
Generate a verifiable audit showing exactly which competitors ChatGPT recommends instead of you, and the specific sources driving those answers.
Engineering-ready schema, content briefs, and entity strategies to reclaim your visibility.
Get a prioritized Recovery Sprint with engineering-ready code (JSON-LD schema, context injection) to recapture your visibility.
/schema/product_structure.jsonld
Injecting context-priming scripts into the model window.
Targeting "Alternative to [Competitor]" queries.
Automated fixes generated for copy/paste
Real evidence from a live audit
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Everything you need to know about SaaS visibility in the age of AI.
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Check if ChatGPT thinks your product is "Too Expensive" due to old data.
Run AuditDiscover the "deal-breakers" and fake cons AI is inventing about you.
Run AuditSee exactly when and why AI recommends your competitors instead of you.
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Testing SaaS buyer prompts across ChatGPT & Gemini
Usually takes 20-30 seconds