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What RankX AI is

RankX AI measures whether AI assistants and Google name your brand when buyers ask, and turns the gaps into a prioritised fix list.

RankX AI is an AI search visibility platform. It asks the questions your buyers ask, on the AI assistants your buyers use, records whether your brand was named and which sources the answer leaned on, and turns the gaps into work you can do. It also tracks ordinary Google positions, so both halves of search sit in one account.

What problem RankX AI solves

A buyer used to search, see ten links and click one. Increasingly they ask an assistant and read the answer. If your brand is not in that answer, no ranking report will tell you, because the answer is not a ranking. RankX AI measures the answer itself.

That measurement has a shape traditional SEO tools do not have. An AI answer names some brands and not others, cites some domains and not others, and does both differently on each assistant and differently again on the same assistant tomorrow. RankX AI is built around that instability rather than pretending it away: every figure carries the number of checks it came from, and a measurement that did not happen is never reported as a zero.

The surfaces RankX AI watches

RankX AI watches four kinds of surface. They are separate measurements, and averaging them together produces a number that answers nothing.

SurfaceWhat RankX AI recordsWhere it lives
AI assistant answersWhether your brand was named, on which assistants, and how often, for each tracked promptAI Visibility
Google AI OverviewsWhether an AI Overview appeared for a tracked keyword, and whether your brand was named or cited inside itGoogle Results
AI shopping answersWhether your products were recommended, which merchants took the slots, and where ads are observableAI Shopping
Ordinary Google resultsYour position to depth 20, plus Search Console and Analytics once connectedGoogle Results, Traffic

The six assistants RankX AI asks are ChatGPT, Gemini, Claude, Perplexity, Grok and Microsoft Copilot, and every plan gets all six. There are no engine add-ons, by policy. Which assistants a Website runs, and which a given prompt is asked of, is yours to set. Tracked platforms sets out what each one is good for.

What RankX AI does with what it finds

Measurement that ends in a chart is a dashboard nobody opens twice. RankX AI carries findings forward:

  • Tasks. Findings from audits, visibility gaps and traffic movements become items on a Tasks board, deduplicated so the same page does not appear four times.
  • AI Readiness. A scored assessment of whether assistants can reach, read and understand your site at all, with the checks the product actually runs listed in the AI Readiness check reference.
  • Website Audit. A technical crawl with a stated coverage rule: a check that did not run is never rendered as a check that passed.
  • Research and content. Keyword research, topic clusters, articles written in one step or on a schedule by Content Autopilot, and publishing to WordPress or a Shopify blog with every write verified by reading it back.

How RankX AI differs

Three things set RankX AI apart, and each one saves time in an evaluation:

  • AI visibility is measured by asking the assistants. Rank tracking is one of five surfaces, and the AI-visibility half comes from putting your buyers' questions to the assistants themselves, not from scraping a results page.
  • The programmatic interface is the MCP server. It covers reading, writing, spending and publishing from any client that speaks Model Context Protocol, with the same safeguards as the dashboard.
  • Every figure is a rate over a panel. A single prompt run on a single assistant is noise, so RankX AI runs panels of prompts on a cadence and reports rates with their denominators, which is the reliable way to read this data.

Two tracks, and they change the shell

RankX AI ships as two tracks from one codebase. A Direct account is one business tracking its own Websites. An Agency account white-labels to client businesses, each in its own Client Workspace with its own permissions and its own spending ceiling.

The track changes what the navigation offers, not what the measurement means. Choosing your track covers which one fits, and what changes if you pick wrong.

Where to go next

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