Find and fix JavaScript problems
ESLint (eslint.org) scores 91 out of 100 on Brand Analyzer, placing it in the Iconic tier among SaaS brands, Technology brands, in the 98th percentile of 27506 SaaS brands.
ESLint is an open source, pluggable and configurable linter for JavaScript and JSX code, founded in 2013. It performs static analysis to identify problematic patterns in code and can automatically fix many of them with syntax-aware precision. Positioned as a leading linting utility, it integrates into code editors and continuous integration pipelines regardless of the framework being used. Its target audience includes JavaScript developers, front-end and back-end engineers, and development teams focused on maintaining code quality and consistency across projects.
| Brand Name | ESLint |
|---|---|
| Domain | eslint.org |
| Industry | SaaS, Technology |
| Founded | 2013 |
| Main Competitors | Prettier (73/100), JSHint (63/100), JSLint (67/100), StandardJS (65/100), Biome (71/100), SonarQube (90/100) |
Moz Domain Authority 61/100 vs category average 37 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #40,135 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
ESLint has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease." (Meta description: 20 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and 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.
Social footprint: verified profiles on GitHub, X (Twitter), LinkedIn, Instagram, YouTube; 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 ESLint?", Claude could identify the brand as of September 2026. ESLint is a widely used open-source static code analysis tool for JavaScript and TypeScript that finds and fixes problems in code based on configurable rules. It's not really a SaaS product in the traditional sense, it's a linter that developers integrate into their editors, buil Best known for Being the de facto standard linter for JavaScript and TypeScript codebases.
When asked "Best brands similar to ESLint?", Claude would recommend ESLint as of September 2026. It's the go-to tool developers mention for JavaScript/TypeScript linting, so it would come up naturally in that context even though it's not really a SaaS company.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ESLint's main competitors in SaaS: Prettier (73/100), JSHint (63/100), JSLint (67/100), StandardJS (65/100), Biome (71/100).
Sources: Brand Analyzer scan
ESLint is a pluggable and configurable linter tool for JavaScript and JSX code, founded in 2013. It performs static analysis on source code to identify patterns that may indicate errors, stylistic inconsistencies, or problematic constructs, and is classified as SaaS/Technology software.
Sources: ESLint official site
ESLint has moderate AI-search visibility, scoring 58/100 on Brand Analyzer's AI visibility composite (visibility 67, trust 34, recommendation 69). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ESLint official site
ESLint was founded in 2013. ESLint operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
ESLint statically analyzes JavaScript and JSX code to detect issues such as syntax errors, code style violations, and potentially problematic patterns. It reports these findings and can automatically fix many of them with syntax-aware precision, helping developers maintain consistent, high-quality code.
Sources: ESLint official site
ESLint offers a linting tool that statically analyzes JavaScript and JSX code to identify and report code quality issues, along with configurable rule sets and plugins that allow customization for different coding standards. It also includes automatic fixing capabilities for many detected issues.
Sources: ESLint official site
ESLint 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: ESLint official site
ESLint 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: ESLint official site
ESLint is known for being a pluggable and configurable linting tool that integrates seamlessly into code editors and CI pipelines regardless of the JavaScript framework in use. It is positioned as a leading open source linting utility for identifying and automatically fixing code quality issues.
Sources: ESLint official site
ESLint is used by JavaScript developers, front-end and back-end engineers, and development teams who need to maintain code quality and consistency across their codebases.
Sources: ESLint official site
ESLint's popularity stems from its pluggable and configurable design, which allows developers to customize rules for their specific JavaScript and JSX codebases. It integrates seamlessly into code editors and continuous integration pipelines regardless of framework, and its ability to automatically fix many issues with syntax-aware precision makes it a practical tool for teams aiming to maintain code quality and consistency.
Sources: ESLint official site
ESLint scores 58/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ESLint has a limited AI-visibility profile at 58/100 - 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 (34/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #40,135 (Tranco). 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 ESLint 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 ESLint: Epos Now (91/100), Elavon (91/100), E*TRADE (91/100), Everbridge (91/100), eFax (91/100), Exabeam (91/100).
Category leader: Hostinger (97/100).
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