Security data, without centralization
Query (query.ai) scores 82 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Technology brands, in the 76th percentile of 24651 SaaS brands.
Query (query.ai) is a SaaS security technology company that provides a federated search platform for security data. It enables security teams to search and act on distributed security data sources without centralizing that data, offering expanded visibility across systems. Positioned as an alternative or complement to traditional SIEM architectures, Query targets security operations teams, SOC analysts, and enterprise security leaders who need efficient, scalable access to disparate security data.
| Brand Name | Query |
|---|---|
| Domain | query.ai |
| Industry | SaaS, Technology |
| Main Competitors | Splunk (94/100), Elastic Security (93/100), Securonix (86/100), Exabeam (91/100), Devo (70/100), Panther Labs (79/100), Hunters (84/100), Sumo Logic (91/100) |
Moz Domain Authority 28/100 vs category average 37 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #4,018,765 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Query appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Query is a federated search platform for security data providing expanded data visibility without centralization." (Meta description: 15 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding 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.
Detected tech stack: Cloudflare, WordPress, Ghost, HubSpot.
Social footprint: verified profiles on LinkedIn, X (Twitter), YouTube, Instagram, GitHub; no detected presence on Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is Query?", Claude could identify the brand as of September 2026. Query.ai (also known as Query) is a security data platform that lets security teams search and investigate data across multiple cloud and on-prem sources without first centralizing it into a SIEM, using a federated search approach. Best known for Federated search for security investigations across distributed data sources without full data centralization.
When asked "Best brands similar to Query?", Claude would recommend Query as of September 2026. If someone asked about security data platforms or SIEM alternatives, Query.ai's federated search approach is distinctive enough to be worth mentioning.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Query's main competitors in SaaS: Splunk (94/100), Elastic Security (93/100), Securonix (86/100), Exabeam (91/100), Devo (70/100).
Sources: Brand Analyzer scan
Query (query.ai) is a SaaS company that offers a federated search platform designed for security data. Rather than requiring organizations to centralize their security data into a single repository, Query allows security teams to search and act on data that remains distributed across multiple sources and systems. It is categorized as a security technology platform intended to expand data visibility for security operations while avoiding the cost and complexity of centralization.
Sources: Query official site
Query has limited AI-search visibility, scoring 41/100 on Brand Analyzer's AI visibility composite (visibility 33, trust 38, recommendation 60). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Query official site
Query provides a federated search platform that lets security teams query and act on security data across distributed sources without moving or centralizing that data first. This gives security operations centers (SOCs) expanded visibility into their security data landscape, supporting detection, investigation, and response activities. The platform is positioned as extending capabilities beyond what traditional SIEM systems provide by enabling searches across data wherever it resides.
Sources: Query official site
Query scores 60/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Query official site
Query offers a federated search platform for security data. This platform enables security teams to search across distributed data sources without needing to centralize them, providing expanded data visibility for security operations. The known facts do not detail additional specific product modules or service tiers beyond this core federated search capability.
Sources: Query official site
Query is known for its federated search approach to security data, which allows organizations to search across distributed data sources without centralizing them into one platform. This distinguishes it from traditional SIEM tools that typically require data ingestion and centralization. Query is positioned as an approach to security operations that operates 'beyond the SIEM' by prioritizing distributed data access and search efficiency at scale.
Sources: Query official site
Query 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: Query official site
Query is used by security operations teams, SOC (Security Operations Center) analysts, and enterprise security leaders. These users typically need to search and act on security data that is spread across multiple, distributed sources, and they use Query to gain unified visibility without having to centralize that data into a single system such as a traditional SIEM.
Sources: Query official site
Query's appeal stems from its federated search approach, which allows security teams to gain expanded visibility across distributed security data sources without the cost and complexity of centralizing that data. This addresses a common pain point in security operations, where centralizing large volumes of data into a SIEM can be expensive and operationally burdensome. By positioning itself as a solution that works 'beyond the SIEM,' Query offers an alternative for organizations seeking more efficient, scalable data search capabilities.
Sources: Query official site
Query scores 41/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Query has a limited AI-visibility profile at 41/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (60/100) and its weakest is visibility (33/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #4,018,765 (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, a low Moz Domain Authority of 28/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Query from memory (September 2026) - a sign these signals are paying off.
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.
Ranked closest to Query: Quantium (82/100), QRStuff (82/100), Quess Corp (82/100), Quilter (82/100).
A step up - brands to learn from: Zuken (91/100), ZipRecruiter (91/100).
Category leader: Hostinger (97/100).
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