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What is ZeroMaze SEO/AIO Auditor?
ZeroMaze SEO/AIO Auditor is a free, open-source website analysis tool that runs over 90 audit checks across five pillars. Unlike most audit tools, it runs entirely in your browser using WebAssembly, so no data ever leaves your machine. You enter a URL, it crawls the site, and you get a graded report with prioritized fixes.
According to a 2025 study by Ahrefs, 96.55% of all pages get zero traffic from Google. Most of the time this is because of basic technical and on-page SEO problems. A quick audit can surface these issues in seconds. The tool covers SEO, AI Overview Optimization, Generative Engine Optimization, LLM Compliance, and Technical Quality. Last updated June 2026.
"96.55% of all pages get zero traffic from Google." — Ahrefs, 2025 Search Traffic Study
What does it check?
The auditor runs over 90 checks across five categories. Each category gets a letter grade from A to F. Here is what each pillar covers.
How does the SEO audit work?
The SEO pillar checks the basics that search engines need to crawl and index your site. It catches the most common problems that block organic traffic.
It covers title tags, meta descriptions, heading hierarchy, broken links, redirect chains, orphan pages, sitemap coverage, robots.txt, canonical tags, Open Graph, Twitter Cards, JSON-LD structured data, image alt text, favicon, multilingual hreflang, anchor text diversity, and internal nofollow links. It also flags duplicate titles and descriptions, thin content under 300 words, URL quality issues, and canonical-noindex conflicts. According to Search Engine Journal, sites that fix these basics typically see a 20-30% increase in organic traffic within three months.
- Crawlability: robots.txt, sitemap, broken links, redirect chains
- On-page: titles, descriptions, headings, images, word count
- Social: Open Graph, Twitter Cards, structured data
- Trust: canonical tags, HTTPS, favicon, hreflang
What is AI Overview Optimization (AIO)?
AIO is the practice of structuring content so that Google's AI Overviews can extract and cite it. Pages that score well on AIO get pulled into the answer boxes that appear above traditional search results.
The auditor checks for direct answer paragraphs after headings, definition paragraphs after H1 tags, FAQ and HowTo schema, question-style headings, section length, E-E-A-T signals (author, expertise, credentials), definition sentences, data tables, article schema completeness, summary sections, comparison content, original research signals, passage length (100-200 words is ideal for citation), Flesch readability, and breadcrumb schema. Research from ZipTie in 2025 found that 85% of AI Overview citations come from content under two years old, and pages with FAQ sections are 3x more likely to be cited.
- Content structure: direct answers, definitions, Q&A headings
- Schema: FAQ, HowTo, Article, Breadcrumb markup
- Quality: readability, passage length, author signals
What is Generative Engine Optimization (GEO)?
GEO focuses on making your content visible in AI-powered search engines like ChatGPT, Perplexity, and Google Gemini. These systems pull from different signals than traditional search.
The auditor measures statistics and data usage, external citations, source authority (links to .gov, .edu, Wikipedia), quotation usage, content depth, freshness signals, readability, topic coverage, technical terminology, source diversity, content recency, and multimedia embeds. A 2024 GEO study found that adding citations improves AI visibility by 28%, and including statistics improves it by 33%.
"Adding citations to content improves visibility in generative engines by 28%. Including relevant statistics improves it by 33%." — GEO: Generative Engine Optimization, 2024
- Evidence: statistics, citations, quotations, source authority
- Quality: depth, readability, freshness, topic coverage
- Signals: technical terminology, source diversity, multimedia
What LLM compliance checks are included?
The LLM pillar checks whether your site follows emerging standards for AI crawler access. This is a new area that most sites have not addressed yet.
It verifies the presence of a llms.txt file (the standard way to describe your site to language models), tests content negotiation via Accept: text/markdown, checks for Vary: Accept and 406 responses, looks for llms-full.txt, summarizes your robots.txt AI crawler policy, and measures how well your page translates to plain text. Note that content negotiation checks require server-side logic and will always fail on static hosting like Cloudflare Pages or GitHub Pages.
What technical quality checks are performed?
The technical pillar covers security, performance, and accessibility. These are the things that affect both user experience and search engine trust.
Security: HSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy, Permissions-Policy, server header exposure, X-Powered-By leakage. Performance: response time, page size, compression, cache-control, render-blocking scripts, resource hints, image format, inline code size, font-display, LCP preload. Accessibility: viewport, skip navigation, form labels, link text quality, ARIA landmarks, table headers, DOM size, iframes, deprecated HTML tags. It also tracks AI bot directives, third-party script count, cookie count, and mixed content.
- Security: 6 header checks plus server info exposure
- Performance: response time, compression, caching, image format
- Accessibility: ARIA, labels, skip nav, link text, DOM size
How does the browser-based crawling work?
Type a URL and click "Run Audit". The tool fetches pages using libcurl compiled to WebAssembly, routed through a lightweight WebSocket relay for CORS-free access.
It performs a breadth-first crawl with up to 6 concurrent requests, respects robots.txt, parses XML sitemaps, tracks redirect chains, and detects broken links. Each page is parsed using the browser's DOMParser. All five audit pillars run locally. Results include letter grades, a prioritized issue list, and a downloadable HTML report.