
Check your AI visibility in ChatGPT, Perplexity, and other platforms. Use our LLM Visibility Tracker for brand audits, E-E-A-T checks, and the GIST protocol.
A startup from Germany.
This page is designed to help you find out whether LLMTracker.de is good and if it is the right choice for you.
LLMTracker.de is a tool that tracks how brands and websites are cited by AI assistants and LLM-powered search — including Gemini, ChatGPT, and Perplexity. It monitors citation frequency, cited pages, and visibility trends over time, and includes a content audit to help identify what may be blocking a page from being surfaced in AI-generated answers. Built for marketers and SEO teams who need to understand not just traditional search rankings, but how their content performs in generative AI responses
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AI citation tracking
Monitors how your brand and pages are cited across AI assistants including ChatGPT, Perplexity, and Gemini
Content Audit
12-parameter analysis of a page's content (fact density, semantic anchors, authority signals, and related factors relevant to LLM citation likelihood)
Semantic Analysis
Flags when a page's content is too similar to an already-dominant top result, using a proximity/diversity scoring approach inspired by Google's published research on result diversity
Brand Reputation
Tracks how a brand is portrayed in AI-generated answers (positive, neutral, negative) with email reporting
LLM Tracker combines two things I haven't found together in other tools in this space: pay-as-you-go pricing (no forced monthly subscription just to check citation visibility) and a semantic proximity/diversity analysis — inspired by Google's published research on result diversity — that flags when a page's content sits too close to an already-dominant result and risks being filtered out as a near-duplicate. Most competitors only tell you whether you're visible; this is built to help explain why a page might not be getting picked up.
If you want to test AI-visibility tracking without committing to a $100+/month subscription, pay-as-you-go removes that barrier. It also goes beyond simple citation counting by including a content-level diagnostic layer, and since it's a small, actively developed tool, feature requests from real users can be built and shipped quickly rather than sitting in a roadmap queue.
Marketers, SEO/GEO consultants, and small-to-mid agencies — particularly in the DACH (Germany/Austria/Switzerland) market — who need to track how their brand or clients' brands are cited by AI assistants like ChatGPT, Perplexity, and Gemini, without paying for an enterprise-tier platform.
It came out of hands-on SEO/GEO consulting work: existing tools showed Google rankings clearly but gave no visibility into whether a brand was actually being cited, ignored, or misrepresented by AI assistants — and the ones that did track this charged a flat, often expensive subscription regardless of actual usage. LLM Tracker was built to close that gap with usage-based pricing and a diagnostic layer, not just a tracking dashboard.
DataForSEO (SERP/content data), n8n (automation/orchestration), and a custom scoring layer for semantic proximity analysis.
Early stage — not yet able to share customer names
We have collected here some useful links to help you find out if LLMTracker.de is good.
Check the traffic stats of LLMTracker.de on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of LLMTracker.de on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of LLMTracker.de's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of LLMTracker.de on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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