AI search visibility for SaaS

It's whether ChatGPT, Gemini, Claude, Perplexity and the other AI engines name your product when someone asks a category question like "best CRM for a five-person team" or "top project management tools 2026." AmICited tracks those prompts daily, records the full answer, and shows whether you're cited, where, and which competitor got named instead.

Mostly it isn't. The signals that earn an AI citation overlap heavily with the signals that earn an organic ranking — crawlability, structure, schema, content depth, domain authority. What's genuinely new is prompt-level tracking instead of keyword rankings, and a handful of AI-specific factors: llms.txt, agent accessibility, and whether your docs and pricing pages are structured for an agent to read, not just a person.

No — if anything it measures their effect on you. Review sites like G2 and Capterra are exactly the kind of page AI engines cite most often when answering "best [category] software" prompts. Source & Citation Intelligence shows you which domains are winning those citations in your category, G2 included, so you know whether your review profile is actually moving the answer.

Connect Stripe and AmICited reports the AI channel next to paid and organic: measured delivery, a blended CAC across the platforms you connect, and a paid-organic lift view for anything correlated with AI mentions. One honest limit stated up front: no tool, including this one, can attribute a specific signup to a specific prompt or AI answer — that link doesn't exist in the data for anyone. What you get is the channel reported in aggregate, with the confidence and limits of each number stated on the page rather than hidden in a footnote.

ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Claude, Perplexity and Copilot run daily; Grok, DeepSeek, Meta AI, Mistral and Brave Leo run weekly. ChatGPT, Perplexity, Gemini and the Google surfaces are on every plan; Copilot is Pro and up; Claude, Grok and DeepSeek are Premium.

Yes. AmICited exposes a live MCP server — citation gaps, prompt performance, competitor data and more — to Claude Code, Cursor, Copilot and other MCP clients, so your engineers can pull the same data your marketing team sees without leaving their tooling. Read access is on by default; write access (letting an agent action a fix) is a separate grant on Pro and up.

It's a starting point, not the whole picture. Visibility Score is tracked prompts with at least one citation of your domain, divided by every prompt you track — not a blended index. Average Rank is the mean position of those citations, so you can tell a citation buried at the bottom of an answer from one named first. Missing Prompts lists the queries where no domain of yours shows up at all, which is usually the more actionable number for a SaaS team than the score itself.

Starter is €50/month: one domain, 200 prompts, 10 competitors, and the full Search Console and Bing Webmaster reporting layer — but no daily prompt scheduling and no Stripe connector yet. Pro at €120/month adds daily scheduling and the revenue-attribution connector, which is the tier that does the job described on this page. Premium at €500/month adds Claude, Grok and DeepSeek as tracked engines. Billing is credit-based at 0.015 credits per prompt per engine, so a prompt tracked daily across seven engines costs about 0.1 credits a day; credits don't roll over.

Probably not the daily-tracking tier. Category prompts like "best CRM for a five-person team" only return an answer once there's an established category with real search and prompt volume behind it — a brand-new product category won't have much AI traffic to win yet. What's worth doing early regardless of stage is the agent-accessibility work: a clean llms.txt, a crawlable docs site, and a pricing page an agent can actually parse, since that's cheap to fix once and expensive to retrofit later. The tracking and revenue-attribution layer earns its keep once buyers are already asking AI about your category by name.

Generative engine optimization (GEO) is the umbrella term for the work; AI visibility is what AmICited calls measuring the result of that work. For a SaaS company the GEO side is mostly the same craft as SEO — crawlability, structure, schema, content depth — plus a genuinely new slice: llms.txt, agent accessibility, and whether your docs and pricing pages are structured for an agent to parse. AmICited tracks the citation outcome and ships the fixes; it doesn't rebrand ordinary technical SEO as something new just because the audience reading it changed from a person to a model.