data.haus — September 2026 traffic, keywords & AI visibility

Paid search ads bring 100% of it — more than its organic results do.

data.haus scores 85 out of 100 on our AI visibility scale, grade A. It takes full marks for LLMS.txt and Structured data. The biggest gap is Crawlability, at 0 of 10 points (robots ✗ · sitemap ✗), worth 10 points if closed. It also loses points on Company profile (22/25) and SEO health (18/20).

The llms.txt on data.haus runs to 151 lines (7,843 characters) across 12 sections, last generated in May 2026. It introduces the site as "Data.haus - Advanced Data Analytics Platform". It tells AI engines the business works in Data Analytics, Data Visualization and Machine Learning. It describes 4 products, with prices such as Viz Pro at $49/month and ML Predictor at $99/month. Services it lists include Custom Dashboard Design, Data Migration Consulting, ML Model Training and Data Ethics Audit. The audience it names is Data analysts, business managers, aged 25-55 (Global). Technologies it mentions include HTTPS, Responsive Design, JavaScript, React.js and Node.js. The keywords it claims start with "data analytics", "data visualization", "big data" and "data science".

# Data.haus - Advanced Data Analytics Platform

## About
Data.haus delivers a robust suite of data analytics solutions tailored for modern businesses grappling with massive data flows. At its core, the platform excels in visualization, turning spreadsheets into compelling visuals that anyone can grasp. They tackle big data challenges head-on, incorporating machine learning to spot patterns humans might miss. Privacy is non-negotiable here, with end-to-end encryption and compliance tools built in from day one. Serving a wide array of clients, from tech startups to established enterprises, Data.haus simplifies data science workflows. Their dashboards update in real-time, feeding into strategic decisions swiftly. Users love the drag-and-drop interfaces that require zero coding for basic tasks. Beyond that, advanced users dive into custom ML models and data mining. The company fosters an open ecosystem through GitHub, inviting contributions to enhance features. Governance and quality controls prevent garbage-in-garbage-out scenarios. Storytelling modules help present findings persuasively to execs. As data volumes explode, Data.haus scales effortlessly without breaking the bank. Ethical considerations guide every update, promoting responsible AI use. Integration with popular tools like databases and CRMs is seamless. Teams report 40% faster insights generation post-adoption. It's t

The latest technical audit of data.haus scored 91 out of 100 overall. Accessibility is its weakest area at 79, while performance scores highest at 100. The audit makes 12 recommendations in all, and 3 of the 4 listed first are rated high priority or critical.

Data.haus's company profile names https://www.tableau.com, https://www.datadoghq.com, https://www.splunk.com and https://www.qlik.com as competitors. Its own llms.txt adds https://www.microsoft.com/en-us/power-bi and https://www.domo.com. Outside its market, the domains ranked closest to it in our worldwide ranking are jobijoba.de, hifiman.com, grannyau.com and slimteensex.com.

https://www.tableau.com

https://www.datadoghq.com

https://www.splunk.com

https://www.qlik.com

https://www.microsoft.com/en-us/power-bi

https://www.domo.com