Making data breaches irrelevant
Baffle (baffle.io) scores 81 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Technology brands, Finance brands, in the 71st percentile of 23596 SaaS brands.
Baffle is a data security company that provides application-level encryption, tokenization, and de-identification for enterprise and customer data in cloud environments. Its no-code model allows organizations to protect sensitive data on a per-field basis without modifying application code. Baffle targets enterprises migrating to the cloud, including security, data, and compliance teams across industries such as finance and healthcare, aiming to render sensitive data unusable in the event of a breach while reducing implementation complexity.
| Brand Name | Baffle |
|---|---|
| Domain | baffle.io |
| Industry | SaaS, Technology |
| Main Competitors | Protegrity (80/100), Thales CipherTrust (82/100), Skyflow (85/100), Very Good Security (59/100), Immuta (84/100), Privacera (77/100) |
Moz Domain Authority 35/100 vs category average 37 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #3,403,293 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Baffle appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Baffle simplifies security for enterprise and customer data in the cloud by delivering application level encryption on a per field basis via a no code model." (Meta description: 26 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, + Microdata, 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 X (Twitter), LinkedIn, Instagram, YouTube, 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 Baffle?", Claude could identify the brand as of September 2026. Baffle is a data security company that provides data-centric protection through encryption and tokenization, allowing sensitive data to be secured as it moves through applications, databases, and cloud environments without requiring changes to application code. Best known for Transparent data encryption and tokenization for cloud databases without app code changes.
When asked "Best brands similar to Baffle?", Claude would recommend Baffle as of September 2026. It's a recognized player in data security for cloud environments, so I'd mention it if someone asked about data encryption or tokenization solutions.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Baffle's main competitors in SaaS: Protegrity (80/100), Thales CipherTrust (82/100), Skyflow (85/100), Very Good Security (59/100), Immuta (84/100).
Sources: Brand Analyzer scan
Baffle has limited AI-search visibility, scoring 38/100 on Brand Analyzer's AI visibility composite (visibility 33, trust 41, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Baffle official site
Baffle scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less 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: Baffle official site
Baffle is a data security company that provides application-level encryption and data protection for enterprise and customer data stored or processed in cloud environments. It offers a no-code model for implementing field-level encryption, tokenization, and de-identification, allowing organizations to protect sensitive data without altering application code.
Sources: Baffle official site
Baffle delivers application-level encryption on a per-field basis using a no-code model, enabling field-level encryption, tokenization, and de-identification of sensitive data. This makes sensitive data unusable to attackers even if a breach occurs, while requiring no changes to existing application code.
Sources: Baffle official site
Baffle 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: Baffle official site
Baffle offers a no-code data protection platform that includes field-level encryption, tokenization, and de-identification capabilities for sensitive enterprise and customer data in cloud environments, designed to protect data without requiring changes to application code.
Sources: Baffle official site
Baffle is known for its no-code approach to data protection, which allows enterprises to apply field-level encryption, tokenization, and de-identification to sensitive data without modifying application code, simplifying security for cloud-based enterprise and customer data.
Sources: Baffle official site
Baffle is used by enterprises and organizations migrating to the cloud that need to protect sensitive customer and business data. This includes security, data, and compliance teams across industries such as finance, healthcare, and other sectors handling sensitive information.
Sources: Baffle official site
Baffle scores 38/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Baffle has a weak AI-visibility profile at 38/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is visibility (33/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #3,403,293 (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 35/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Baffle 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 Baffle: Back4app (81/100), B2BROKER (81/100), Balancy (81/100), Balcony (81/100).
A step up - brands to learn from: Zuken (91/100), ZipRecruiter (91/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.