Jasmine Brand Score: 68/100 - Developing tier

Behavior-driven JavaScript testing framework

Jasmine (github.io) scores 68 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Technology brands, in the 22nd percentile of 22005 SaaS brands.

AI Snapshot

Jasmine is a JavaScript testing framework designed to test JavaScript code without requiring a DOM or dependencies on other JavaScript frameworks. It provides a simple, flexible, batteries-included approach to behavior-driven development, offering clean, readable syntax for writing test suites. Jasmine is aimed at software developers and engineering teams who build and maintain JavaScript applications and need a dependable, standalone testing solution that works across various JavaScript environments.

Key facts about Jasmine

Brand Name	Jasmine
Domain	github.io
Industry	SaaS, Technology
Main Competitors	Mocha (82/100), Jest (79/100), Karma, QUnit (75/100), AVA (78/100), Cypress (77/100)

Evidence

Moz Domain Authority 54/100 vs category average 36 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.

Jasmine appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.

The homepage meta description reads "To provide a simple, flexible framework for testing JavaScript code without requiring a DOM or dependencies on other JavaScript frameworks." (No meta description) - this is the summary AI engines are most likely to quote.

Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.

AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.

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

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

Does AI know Jasmine?

Live results from asking a general-purpose AI assistant about the brand, checked August 2026.

When asked "What is Reason?", Claude could identify the brand as of August 2026. Reason is a syntax and toolchain for OCaml built by Facebook, letting developers write type-safe functional code that compiles to JavaScript via BuckleScript or to native code, often used with ReasonReact for building UIs. Best known for Bringing OCaml's type safety and functional programming style to JavaScript developers through a familiar syntax.

When asked "Best brands similar to Reason?", Claude would recommend Jasmine as of August 2026. It's a notable option for developers wanting strong typing and functional programming in web development, especially those interested in alternatives to TypeScript or plain JavaScript.

People Also Ask About Jasmine

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

Who are Jasmine's main competitors?

Jasmine's main competitors in SaaS: Mocha (82/100), Jest (79/100), QUnit (75/100), AVA (78/100), Cypress (77/100).

Sources: Brand Analyzer scan

What is Jasmine?

Jasmine is a JavaScript testing framework used to write and run tests for JavaScript code. It is designed to be simple and flexible, operating without requiring a DOM or dependencies on other JavaScript frameworks, making it usable across a wide range of JavaScript environments.

Sources: Jasmine official site

How visible is Jasmine in AI search?

Jasmine has limited AI-search visibility, scoring 35/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 22, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.

Sources: Jasmine official site

What products or services does Jasmine offer?

Jasmine offers a JavaScript testing framework that allows developers to write and execute test suites using a behavior-driven development (BDD) approach. The framework is standalone, requiring no DOM or external JavaScript framework dependencies, making it applicable across diverse JavaScript environments.

Sources: Jasmine official site

What does Jasmine do?

Jasmine provides a framework for testing JavaScript code, enabling developers to write behavior-driven tests with a clean, readable syntax. It supports writing test suites and specs to verify that JavaScript code behaves as expected, without needing a browser DOM or other external testing frameworks.

Sources: Jasmine official site

Does ChatGPT recommend Jasmine?

Jasmine scores 50/100 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: Jasmine official site

How can Jasmine improve its AI discoverability?

Jasmine 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: Jasmine official site

What is Jasmine known for?

Jasmine is known for being a dependency-free, batteries-included JavaScript testing framework that supports behavior-driven development (BDD). It is recognized for its clean, readable syntax that allows developers to write descriptive test specifications without requiring a DOM or additional frameworks.

Sources: Jasmine official site

Who uses Jasmine?

Jasmine is used by software developers and engineering teams who write and maintain JavaScript applications and need a reliable testing framework to validate their code.

Sources: Jasmine official site

Why is Jasmine popular?

Jasmine is popular because it offers a simple, flexible, and dependency-free approach to testing JavaScript code, allowing it to work across many JavaScript environments without requiring a DOM. Its clean syntax for behavior-driven development makes test suites easy to read and maintain, appealing to developers seeking a straightforward testing solution.

Sources: Jasmine official site

Recommendations

• Set up professional email - Use your company domain for email (e.g., hello@yourbrand.com) instead of Gmail/Yahoo. This significantly boosts credibility. (impact: high, effort: quick_win)
• Improve meta descriptions for AI - Write clear, concise meta and Open Graph descriptions that answer 'what does this company do?' in 10-30 words. AI systems rely heavily on these to summarize your brand. (impact: high, effort: quick_win)
• Add structured data and Open Graph tags - Add JSON-LD structured data (Organization, FAQ schemas) and complete Open Graph tags (og:title, og:description, og:image, og:type). This helps AI systems and social platforms accurately represent your brand. (impact: high, effort: moderate)
• Add privacy policy and terms - Publish privacy policy and terms of service pages on your website. Free generators are available online. (impact: medium, effort: quick_win)
• Add a sitemap.xml - Create and publish a sitemap.xml file to help both search engines and AI crawlers discover all your important pages. (impact: medium, effort: quick_win)

AI visibility

Jasmine scores 35/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

Jasmine has a weak AI-visibility profile at 35/100 - 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 trust (22/100). It benefits from a Wikidata knowledge-graph entry, a Moz Domain Authority of 54/100 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, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Jasmine from memory (August 2026) - a sign these signals are paying off.

Visibility - 35/100

• Wikipedia presence - 18/40
• Wikidata entity - 17/25
• Web popularity (Tranco) - 0/20
• Reddit visibility - 0/15

Trust - 22/100

• Domain Authority - 15/30
• Backlink trust (spam score) - 3/10
• Schema.org structured data - 0/25
• Knowledge graph anchors (sameAs) - 0/15
• llms.txt convention - 0/10
• Reddit sentiment (heuristic) - 4/10

Recommendation likelihood - 50/100

• robots.txt AI bot permissions - 22/30
• Sitemap.xml presence - 0/10
• Help center / Docs hub - 10/15
• FAQ presence - 3/15
• Category-relative authority - 15/20
• Category leader signals - 0/10

Score breakdown - 7 dimensions

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.

• Name Quality - 100/100
• Digital Presence - 86/100
• Visual Identity - 94/100
• Messaging Clarity - 95/100
• Trust Foundation - 52/100
• AI Discoverability - 25/100
• Brand Authority - 39/100

Score over time

68 in September 2026, down from 70 in August 2026.

Peer brands

Ranked closest to Jasmine: Giide (68/100), Quick (68/100), GiveCentral (68/100), Givsly (68/100).

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

Category leader: Hostinger (97/100).

Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.

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