Measure how strong your brand looks to AI

Brand footprint, AI visibility, domain authority, multi-platform presence, technical signals, content and E-E-A-T, reputation, and business maturity. Seven of them describe causes, the reasons an engine may or may not trust you, and one, AI visibility, describes the outcome. Each dimension gets its own score, its change since the previous audit and the data used to compute it, so a low composite score is never a black box. You can see whether it comes from a technical blockage that takes an afternoon to fix, or from a thin reputation that takes a quarter to build.

Citeme asks several engines the same questions about your brand and compares their answers side by side. When two engines disagree on a fact, the founding year, the size of the company, what it sells, who it serves, the divergence is shown question by question, with each provider's answer, and the whole check produces a score out of 100. Contradictions matter because they are a trust problem in themselves: a model that finds conflicting facts about you tends to hedge or leave you out. The fixes are concrete, such as creating or correcting a Wikidata entry, completing your Organization markup and aligning the facts stated on your profiles.

It is a composite score out of 100, computed from the eight signals measured during the last audit, and placed on one of five tiers: Invisible, Emerging, Building, Recognized and Reference. Its history over the last twelve audits is drawn against those tiers, so you can see whether you are crossing a threshold or just moving within one. The score is meant to be read with its breakdown. The platform generates actions from your weakest signals and sorts them by estimated impact and difficulty, which is where the score turns into a plan rather than a number to watch.

Usually between 10 and 30 seconds, the time it takes to collect the signals across platforms. It runs as part of every GEO audit, and you can also launch it on its own when you only want to check where your authority stands. If an audit stops moving, the interface says so and offers to restart it rather than leaving you on a spinner. Because the signals come from outside your site, the score only changes when the web changes: a new review platform, a press mention, a new inbound link. Running it every day will not move it faster.

No. The audit runs and scores without any input, detecting what it can on its own. The configuration is there to sharpen the diagnosis where automatic detection is uncertain: the founding year, a size band, the sector, and your public profiles, such as a Wikipedia page, a Wikidata identifier, LinkedIn, YouTube, G2, Trustpilot, Capterra, Crunchbase or GitHub. It is worth doing for brands whose name is shared with other companies or products. Stating your profiles explicitly is the quickest way to make sure the audit, and the engines, are looking at the right entity.