For B2B SaaS companies tired of being invisible when high-intent buyers ask AI tools "what are the best solutions for [use case]" - we show you exactly how to get cited.
Buyers are increasingly using ChatGPT to research solutions instead of traditional search engines.
The shift is happening faster than most B2B SaaS companies realize. Buyers with budget and timeline are asking ChatGPT questions like "what are the best CRM solutions for SaaS startups" or "compare Salesforce vs HubSpot for enterprise" - and making shortlist decisions based entirely on AI responses.
This isn't about SEO anymore. ChatGPT doesn't care about your keyword rankings or domain authority. It extracts information based on structured content, clear comparisons, and decision-relevant documentation. If your content isn't optimized for AI extractability, you simply don't exist in the buyer's research phase.
The consequences are immediate and measurable. B2B SaaS companies that appear in ChatGPT responses for category queries see 3-5x higher qualified inbound lead volume. Those that don't appear lose deals before sales even knows the opportunity existed.
A systematic approach to understanding exactly where and why you're invisible in AI responses.
We don't guess. We test your actual visibility in ChatGPT using the exact queries your buyers are asking, document citation patterns, analyze why competitors appear more frequently, and provide specific fixes ranked by impact.
Map 20-30 actual decision-stage queries buyers ask when researching solutions in your category
Test multiple phrasings and contexts to understand citation patterns and triggers
Track whether and how you're mentioned, noting competitive positioning and context
Identify exactly why competitors get cited more often and what content triggers citations
These are the structural problems that prevent ChatGPT from citing your company in buyer research.
Your content lacks the semantic structure and clear entity relationships that AI systems need to extract decision-relevant information. Marketing copy optimized for humans doesn't translate to AI extractability.
ChatGPT heavily weights content that explicitly addresses "X vs Y" and "alternatives to X" queries. If you don't have structured comparison content, you're invisible in competitive evaluations.
Buyers ask ChatGPT about specific use cases and scenarios. If your content doesn't map features to concrete use cases with clear outcomes, AI systems can't extract decision-relevant recommendations.
Your content doesn't directly answer the specific questions buyers ask. ChatGPT prioritizes content structured as clear answers to common decision-stage queries.
Systematic improvements that make your content extractable and referenceable by AI systems.
Restructure existing content to improve AI extractability without rewriting everything from scratch.
Create new pages specifically designed to capture comparison and alternative queries where buyers make choices.
Improve how features are documented to create clear use case associations that AI can extract.
Build structured comparison tables that AI systems can easily parse and reference in competitive queries.
Make pricing information extractable so ChatGPT can provide accurate cost guidance in buyer research.
Create scenario-based content that directly answers "best for X" queries buyers ask ChatGPT.
How AI extractability fixes translate to measurable business outcomes.
A mid-market project management SaaS was invisible in ChatGPT responses for category queries. When prospects asked "what are the best project management tools for remote teams," competitors appeared but they didn't.
We audited their content against 20 realistic buyer queries. Before fixes, they appeared in only 2/20 responses-and when they did appear, it was without meaningful context or differentiation.
We implemented structured comparison pages, rebuilt feature documentation with clear use case mapping, added pricing transparency, and created "best for X" guidance. Three months later, they appeared in 16/20 responses with clear positioning and competitive differentiation.
The business impact was immediate: qualified inbound lead volume increased 40%, with prospects explicitly citing "found you through AI search" as discovery source. Sales cycle shortened because buyers arrived already educated on differentiation and use case fit.
Per page audit + specific extractability fixes
Recommended approach: Start with your highest-traffic pages or most important decision-stage pages (homepage, pricing, comparison pages, category pages). Most B2B SaaS companies see the best ROI from auditing 3-5 strategic pages.
At $499 per page, you can start with your highest-impact pages-homepage, pricing, key comparison pages-and see measurable improvements in ChatGPT citations within weeks. Most B2B SaaS companies audit 3-5 strategic pages to achieve comprehensive visibility in AI-driven buyer research.
Book Your First Page Audit