AI Visibility Rank Tracker

The core metric is whether an AI answer names your brand and where it lands in the reply. Keyword.com logs each mention with its position, so you can tell the difference between being the first name suggested and being buried in a list. It tracks across ChatGPT, Gemini, Perplexity, Google AI Overviews, AI Mode, Claude, DeepSeek, Mistral and Microsoft Copilot.

This AI citation tracker shows which domains and pages an AI answer rests on. You see the list of cited sites, how often each one appears and the kind of prompt that triggers it. The payoff is practical: if a competitor's blog post is the source for a recommendation, you know exactly what to outrank or replace.

You can compare your AI visibility against the brands you compete with directly. The dashboard shows which names appear alongside yours, how their citation frequency stacks up and where they're earning visibility you're missing. That turns a vague worry about competitors into a list of specific gaps.

Beyond counting mentions, the tracker reads how the AI talks about you. It scores sentiment and surfaces the words driving that score, so a wrong claim or a negative framing stands out instead of hiding in a wall of text. Left alone, an AI can keep repeating an outdated description of your business.

The tool suggests prompts worth monitoring, based on the questions people actually ask AI engines about your category. You can write your own queries, generate a set from buyer personas or bulk import them. Covering many phrasings matters because each AI engine answers differently.

Live, read-only dashboards let you hand clients a link instead of a spreadsheet, and a white-label option swaps in your own domain. For teams building their own tools, the AI Visibility API returns aggregated metrics like visibility score, sentiment, mentions, citations and average position as JSON.