Freight matching, powered by data
DAT (dat.com) scores 89 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Finance brands, Technology brands, in the 96th percentile of 27108 SaaS brands.
DAT (dat.com) is a freight matching and market data platform serving the trucking and logistics industry. Founded in 2009 and headquartered in Hanover, it operates the DAT Network, connecting shippers, brokers, and carriers to find and price truckload freight. The company combines load and truck posting with proprietary rate analytics and integrated factoring services, positioning itself as a leading provider of freight network access and market intelligence for the transportation sector.
| Brand Name | DAT |
|---|---|
| Domain | dat.com |
| Industry | SaaS, Finance |
| Founded | 2009 |
| Headquarters | Hanover |
| Main Competitors | Truckstop.com (89/100), Trucker Tools (78/100), project44 (85/100), FreightWaves (80/100), Loadsmart (82/100), Uber Freight (87/100) |
Moz Domain Authority 55/100 vs category average 37 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #24,453 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
DAT appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Find loads and trucks fast with full access to the trusted DAT Network. Freight matching designed for shippers, brokers and carriers." (Meta description: 21 words (ideal length). 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), 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: Nginx, WordPress, Ghost, HubSpot.
Social footprint: verified profiles on X (Twitter), YouTube, Instagram, GitHub; no detected presence on Facebook, LinkedIn - 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 August 2026.
When asked "What is DAT?", Claude could identify the brand as of August 2026. DAT (DAT Solutions/DAT Freight & Analytics) operates one of the largest online marketplaces for truckload freight in North America, connecting shippers, brokers, and carriers to find and post loads and trucks. It also provides freight rate benchmarking and market analytics data u Best known for Its DAT Load Board, one of the oldest and largest freight matching marketplaces in North America.
When asked "Best brands similar to DAT?", Claude would recommend DAT as of August 2026. It's a top-of-mind, widely used platform in freight logistics, so I'd mention it when discussing load boards or freight matching SaaS tools.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
DAT's main competitors in SaaS: Truckstop.com (89/100), Trucker Tools (78/100), project44 (85/100), FreightWaves (80/100), Loadsmart (82/100).
Sources: Brand Analyzer scan
DAT has moderate AI-search visibility, scoring 57/100 on Brand Analyzer's AI visibility composite (visibility 53, trust 52, recommendation 69). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: DAT official site
DAT was founded in 2009. DAT operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
DAT is headquartered in Hanover. DAT operates in the SaaS category.
Sources: Wikidata
DAT scores 69/100 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: DAT official site
DAT 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: DAT official site
DAT offers a freight matching platform (the DAT Network) that lists available loads and trucks for shippers, brokers, and carriers. It also provides market analytics and rate data to support pricing decisions, as well as integrated factoring services that help freight companies manage cash flow.
Sources: DAT official site
DAT provides freight matching services that allow shippers, brokers, and carriers to find loads and trucks quickly through the DAT Network. It also offers proprietary market data and rate analytics to help freight professionals price loads, along with integrated factoring services to support cash flow for carriers and brokers.
Sources: DAT official site
DAT is a SaaS company that operates the DAT Network, a freight matching and market data platform for the trucking and logistics industry. Founded in 2009 and headquartered in Hanover, DAT connects shippers, brokers, and carriers through a large database of available loads and trucks, supplemented with market analytics and factoring services.
Sources: DAT official site
DAT is known for operating one of the largest truckload freight networks in the industry, providing load and truck matching along with deep market data and rate analytics used widely by brokers, carriers, and shippers for pricing and capacity decisions.
Sources: DAT official site
DAT is used by freight brokers, carriers, and shippers in the trucking and logistics industry who need to find loads or trucks, analyze market rates, and access factoring services to support freight transactions.
Sources: DAT official site
DAT scores 57/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
DAT has a limited AI-visibility profile at 57/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (69/100) and its weakest is trust (52/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #24,453 (Tranco) and a Moz Domain Authority of 55/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify DAT from memory (August 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 DAT: data.world (89/100), Datarails (89/100), Defold (89/100), Degreed (89/100).
A step up - brands to learn from: Zuken (91/100), ZoneAlarm (91/100).
Category leader: Hostinger (97/100).
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