Independent consultants and coaches who live on inbound leads face a new and largely invisible problem: prospects increasingly ask ChatGPT, Perplexity, and Gemini questions like "who is a good consultant for X" or "what does [name] specialize in" before they ever hit Google. If the AI answers with silence, a stale bio, or a wrong description of your niche, you lose the lead and never even know it happened. This is the gap AISightline (working name) fills: a monitoring SaaS that tracks how the major AI-search engines describe your personal brand and consulting niche, then hands you concrete fix recommendations. The core product is a tracker that runs a defined set of prompts across ChatGPT, Perplexity, and Gemini on a schedule, captures how each model portrays you and your specialty, flags misrepresentations or absences, and scores your visibility over time. The solution layer is what makes it worth paying for: rather than just showing a problem, it recommends specific actions, for example publishing a clearer positioning page, getting cited in the right directories, or restructuring an about section so models parse it correctly. The MVP is deliberately narrow: let a solo consultant enter their name, niche, and a handful of target prompts, then deliver a weekly report of how each model answers plus a prioritized fix list. Revenue is a straightforward monthly subscription, likely tiered by number of tracked entities and prompt frequency, since a solo consultant tracks one brand while a small agency might track several clients. Go-to-market starts where the audience already discusses this pain: YouTube tutorials on AI visibility, LinkedIn consultant communities, and direct outreach to coaches who publicly complain about lead flow. Growth loops come from shareable visibility scorecards (a consultant posts their improved AI ranking), a referral incentive between peers in the same niche, and content that itself ranks in AI answers, demonstrating the product's own thesis.