Aqurate Data Brand Score: 67/100 - Developing tier

Leading Data Collection and Analysis

Aqurate Data (aqurate-data.com) earns a Brand Analyzer score of 67 out of 100, placing it in the Developing tier among Technology brands, SaaS brands. Among 9683 Technology brands analyzed, Aqurate Data ranks in the 40th percentile (category average 69, leader 97). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 85/100, Digital Presence 82/100, Visual Identity 93/100, Messaging Clarity 95/100, Trust Foundation 60/100, AI Discoverability 81/100, Brand Authority 10/100.

AI Snapshot

Aqurate Data (aqurate-data.com) is an Israeli technology company specializing in Business Intelligence, Big Data, and Analytics since 2013. Operating under the UCL Group, an IT solutions specialist, Aqurate focuses on data collection and analysis capabilities for enterprise clients. The company positions itself as a global technology provider offering enterprise modernization and optimization solutions, helping organizations leverage their legacy systems, data, and applications for business innovation and growth.

Key facts about Aqurate Data
Brand NameAqurate Data
Domainaqurate-data.com
IndustryTechnology, SaaS
Founded2013
Parent Company / OwnerUCL Group
Main CompetitorsMicroStrategy, Tableau (94/100), Qlik (94/100), SAS Institute, Sisense (83/100)

Evidence

Moz Domain Authority 9/100 vs category average 29 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.

Ranked #3,541,096 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.

No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.

The homepage meta description reads "בעולם שמתנהל על ידי ובאמצעות דאטה, אנחנו שואפים ופועלים יום יום כדי להוביל ביכולות איסוף וניתוח הדאטה של לקוחותינו. Aqurate פועלת ומתמחה ב-BI, Big Data & Analytics משנת 2013. ה…" (Meta description: 39 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.

Structured data on the homepage: 1 JSON-LD block(s), Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.

AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.

Social footprint: verified profiles on Facebook, LinkedIn, YouTube, Instagram; no detected presence on X (Twitter), GitHub - consistent profiles reinforce the brand's identity across the web.

0 Reddit mentions - community discussion signals real-world reputation to AI models.

Score breakdown - 7 dimensions

AI visibility

Aqurate Data scores 21/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

Aqurate Data has a weak AI-visibility profile at 21/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #3,541,096 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 9/100.

Visibility - 0/100

Trust - 28/100

Recommendation likelihood - 50/100

People Also Ask About Aqurate Data

Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.

Who are Aqurate Data's main competitors?

Aqurate Data's main competitors include MicroStrategy, Tableau, Qlik, SAS Institute, Sisense (83/100). These companies compete in the Technology space for similar customers, offering comparable products or services.

Sources: Aqurate Data official site

Aqurate Data vs Sisense: how do they compare?

Aqurate Data and Sisense are competitors in Technology. Brand Analyzer scores Aqurate Data at 67/100 and Sisense at 83/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.

Sources: Aqurate Data official site

What are the best alternatives to Aqurate Data?

Popular alternatives to Aqurate Data include MicroStrategy, Tableau, Qlik, SAS Institute, Sisense (83/100). Each is an established option in the Technology space; the best fit depends on your specific needs, budget, and required features.

Sources: Aqurate Data official site

Does ChatGPT recommend Aqurate Data?

Aqurate Data scores 50/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.

Sources: Aqurate Data official site

What is Aqurate Data?

Aqurate Data is a technology company specializing in Business Intelligence, Big Data, and Analytics, founded in 2013. It operates under the UCL Group, described as an IT solutions specialist. Aqurate positions itself as a global technology provider focused on data solutions and enterprise modernization, aiming to lead in data collection and analysis capabilities for its clients in a data-driven world.

Sources: Aqurate Data official site

What does Aqurate Data do?

Aqurate Data specializes in BI, Big Data, and Analytics services, focusing on data collection and analysis for enterprise clients. The company offers enterprise modernization and optimization solutions, helping organizations leverage their legacy systems, data, and applications for business innovation and growth. It operates under the UCL Group and aims to lead clients' data capabilities in a data-driven environment.

Sources: Aqurate Data official site

How can Aqurate Data improve its AI discoverability?

Aqurate Data can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.

Sources: Aqurate Data official site

What is Aqurate Data known for?

Aqurate Data is known for its specialization in Business Intelligence, Big Data, and Analytics since 2013. It is recognized for providing enterprise modernization and optimization solutions under the UCL Group, and for focusing on advancing clients' data collection and analysis capabilities in a data-driven world.

Sources: Aqurate Data official site

Who uses Aqurate Data?

Aqurate Data targets organizations seeking to leverage their legacy systems, data, and applications for business innovation and growth. Its clients are enterprises looking to improve their data collection and analysis capabilities and modernize their technology infrastructure. The company positions its services for businesses operating in a data-driven environment that require BI, Big Data, and Analytics expertise.

Sources: Aqurate Data official site

Recommendations

Peer brands

Ranked closest to Aqurate Data: Aqfer (67/100), Appulate (67/100), ArcheMedX (67/100), Arctrade (67/100).

A step up - brands to learn from: Zocket (71/100), Zircuit (71/100).

Category leader: Accenture (97/100).