#AI search Startups & Tools

A fundamental shift in B2B software buying has created a visibility crisis for many companies: prospective clients now build vendor shortlists inside AI chatbots before ever visiting a website. If a company doesn't get named in those AI recommendations, it simply doesn't make the initial cut, no matter how strong its Google ranking. GeoCited addresses this exact problem for managed service providers, IT services firms, and software development companies that need to be visible where buyers are actually looking. The core offering centers on measuring what GeoCited calls "Share of Answer"—the percentage of commercial questions buyers ask in AI systems where a company gets recommended. The agency tracks this metric weekly across four major platforms: ChatGPT, Perplexity, Gemini, and Claude, benchmarking results against named competitors. This metric-based approach appeals to companies accustomed to measurable marketing outcomes; GeoCited publishes the actual prompts and results so clients can independently verify the numbers themselves. What distinguishes GeoCited from standard SEO or content agencies is its foundation in real buyer behavior. The company sources the prompts it runs from clients' own sales calls—actual questions their target market poses to AI assistants. Rather than guessing what matters, GeoCited maps documented demand and measures what currently gets answered. The weekly scans then capture how AI models respond over time, surfacing both competitor moves and model updates within days rather than months. The methodology runs in four repeating phases. GeoCited begins with an audit that maps commercial questions and documents current recommendation patterns. It then executes weekly measurement runs, rebuilds trust signals and content to improve visibility, and monitors progress through repeat scans. The company positions the improvement work as requiring roughly two hours per month from the client's team, suggesting it focuses on addressing specific, actionable gaps rather than comprehensive brand overhauls. A notable element is GeoCited's operational model: weekly reports are built and reviewed by the team running the scans, not templated or outsourced through an account layer. This reduces the typical agency distance between the measurement work and the person delivering results. The service appears explicitly designed for companies whose buyers use AI assistants as part of the initial research phase—a cohort that includes most B2B software and managed services buyers today. For companies in this position whose visibility inside AI systems remains unmeasured or low, GeoCited offers a concrete diagnostic and a reproducible way to track whether improvements actually land.