JavaScript Code Quality Tool
JSLint (jslint.com) scores 67 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Technology brands, in the 17th percentile of 27515 SaaS brands.
JSLint is a static code analysis tool for JavaScript, founded in 2002. It examines JavaScript source code directly within a web browser without transmitting it over a network, allowing developers to check for code quality and coverage issues in a fast and private manner. It is positioned as a straightforward, privacy-focused tool aimed at developers seeking to enforce coding standards and maintain code quality in their projects.
| Brand Name | JSLint |
|---|---|
| Domain | jslint.com |
| Industry | SaaS, Technology |
| Founded | 2002 |
| Main Competitors | ESLint (91/100), JSHint (63/100), StandardJS (65/100), SonarQube (90/100), Codacy (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.
JSLint has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "JSLint, The JavaScript Code Quality and Coverage Tool. This file allows JSLint to be run from a web browser. It can accept a source program and analyze it w…" (Meta description: 34 words. No OG description (falling back to meta)) - 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.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is JSLint?", Claude could identify the brand as of September 2026. JSLint is a JavaScript code quality tool created by Douglas Crockford that analyzes JS source code and flags style and structural problems according to a strict set of conventions he believes lead to fewer bugs. Best known for Being Douglas Crockford's opinionated, strict JavaScript linter that enforces a specific coding style with little configurability.
When asked "Best brands similar to JSLint?", Claude would recommend JSLint as of September 2026. It's a historically significant and still-used linter, though most developers today reach for the more configurable ESLint instead.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
JSLint's main competitors in SaaS: ESLint (91/100), JSHint (63/100), StandardJS (65/100), SonarQube (90/100), Codacy (87/100).
Sources: Brand Analyzer scan
JSLint is a static code analysis tool for JavaScript, founded in 2002. It is designed to identify code quality issues and help developers enforce coding standards in their JavaScript projects. The tool can run directly in a web browser, analyzing source code without sending it over a network, which supports privacy and speed.
Sources: JSLint official site
JSLint has limited AI-search visibility, scoring 42/100 on Brand Analyzer's AI visibility composite (visibility 57, trust 22, recommendation 40). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: JSLint official site
JSLint was founded in 2002. JSLint operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
JSLint analyzes JavaScript source code to detect code quality issues and inconsistencies, helping developers write more maintainable and standardized code. It performs this analysis directly within a web browser, meaning the code being checked is not transmitted over a network, preserving privacy and enabling fast feedback.
Sources: JSLint official site
JSLint offers a single core product: a JavaScript static code analysis tool that checks code quality and coverage. It is accessible as a browser-based tool, allowing developers to input their JavaScript source code and receive analysis results without the code being sent over a network.
Sources: JSLint official site
JSLint scores 40/100 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: JSLint official site
JSLint 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: JSLint official site
JSLint is known for being one of the earliest and most straightforward static analysis tools for JavaScript, emphasizing strict coding standards. It is also recognized for its browser-based operation, which allows code to be analyzed locally without being sent over a network, a distinguishing feature compared to many other linting tools.
Sources: JSLint official site
JSLint is used by JavaScript developers and software engineers who want to improve the quality, maintainability, and consistency of their code. It targets programmers seeking to enforce coding standards within their projects while prioritizing privacy, since the tool analyzes code locally in the browser.
Sources: JSLint official site
JSLint scores 42/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
JSLint has a limited AI-visibility profile at 42/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (57/100) and its weakest is trust (22/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a Moz Domain Authority of 55/100. The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify JSLint 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 JSLint: Jobsdb (67/100), Jedify (67/100), Kadea Software (67/100), Karamba Security (67/100).
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.