98 checks. One audit.

Every page you audit goes through 98 checks across AI visibility, content quality, structured data, and trust signals. Here's what we look for.

Technical SEO

31

Foundation checks: crawlability, indexing, bot access, and page infrastructure.

AI Bot Access Rules

Canonical URL

Conflicting Robots Rules

Conflicting robots.txt rules confuse AI crawlers — they may default to blocking, silently hiding your content.

Content Density

Favicon

Favicons appear in browser tabs and AI search result cards, signaling site legitimacy.

HTML Lang Attribute

The lang attribute on <html> helps AI engines identify content language and serve it to the correct geographic audience.

Hreflang Tags

Image Lazy Loading

Lazy loading below-fold images improves page performance, which affects crawl efficiency and AI engine rendering budget.

Image Sitemap Entries

Image sitemap entries help AI crawlers discover and index images for visual search results.

Indexing Status

JavaScript Content Gap

Last-Modified Header

Not a ranking signal. Google uses sitemap lastmod for crawl scheduling and recommends ETag over Last-Modified. Main value is CDN cache validation.

Meta Description

Mixed Content

Mixed HTTP/HTTPS content triggers browser security warnings, increasing bounce rates and degrading crawl trust.

Open Graph Tags

Page Title

Page in RSS Feed

Pages in your RSS feed are discovered faster by AI engines that poll feeds regularly.

Page in Sitemap

Pages missing from the sitemap may be deprioritized or skipped entirely by AI crawlers.

Page in llms.txt

Pages listed in llms.txt get priority when AI models decide what to index and cite from your site.

RSS Feed Items

More feed items give AI crawlers more content to discover and index in a single fetch.

RSS/Atom Feed

RSS feeds help AI engines discover new content quickly — Perplexity and others poll feeds for fresh pages.

Resource Hints

Resource hints (preconnect, dns-prefetch, preload) reduce page load time, improving Core Web Vitals and crawl efficiency.

Robots.txt

Robots.txt Sitemap Directive

SSL Certificate

Self-Referencing Canonical

A non-self-referencing canonical tells AI engines this page is a duplicate, redirecting citation credit to another URL.

Semantic HTML

Sitemap Lastmod Dates

Sitemap lastmod dates tell AI crawlers which pages changed recently and need re-indexing.

Viewport Meta Tag

The viewport meta tag is required for mobile-first indexing. Without it, AI crawlers may treat your page as non-mobile-friendly.

XML Sitemap

llms.txt File

llms.txt is an emerging standard that tells AI models what your site is about and which pages matter most.

Content for AI

38

How well AI can parse, extract, and cite your content.

Article Internal Links

Brand Clarity

AI models summarize your brand from your homepage. Unclear positioning leads to inaccurate AI descriptions.

Breadcrumb Navigation

HTML breadcrumbs help AI crawlers understand site hierarchy and enable breadcrumb snippet displays.

Collection Categorization

Well-categorized collections help AI understand your content taxonomy and surface relevant items.

Collection Page Internal Links

Collection Quality

Well-organized collections help AI understand and recommend specific items from your catalog.

Content Above the Fold

Content starting near the top of the page is more likely to be indexed, extracted, and cited by AI engines.

Content Front-Loading

44% of AI citations come from the first 30% of a page. Front-loaded answers are more likely to be extracted and cited.

Content Word Count

Thin content is less likely to be cited by AI search engines. Comprehensive articles (800+ words) with original analysis get more citations.

External Links

FAQ Quality

Complete, well-structured FAQ answers are directly extracted by AI search engines.

FAQ Section

AI search engines extract FAQ answers as direct responses — this is the #1 way to appear in Perplexity results.

Fact Density

AI models prefer content rich in facts, statistics, and specific data points — sparse content gets skipped.

Firsthand Experience Signals

Content demonstrating firsthand experience gets more AI citations. Google's E-E-A-T weighs personal experience as a trust signal.

H1 Heading

H2 Headings

Heading Hierarchy

Homepage Internal Links

Image Alt Text

Internal Link Anchor Text

Descriptive internal link anchor text helps AI crawlers understand page topics and build topical authority.

Introduction Quality

AI extracts introductions as standalone answers. A weak intro means AI rewrites or ignores your content.

Lead Paragraph Length

AI models extract the first paragraph as a direct answer — 50-70 words gives them a complete, citable summary.

Lists in Content

AI models prefer structured lists for step-by-step answers and featured snippet extraction.

Medical Content Quality

Medical content requires extra trust signals — AI is especially cautious with health-related citations.

Noscript Fallback

AI crawlers don't execute JavaScript — noscript fallbacks ensure they can access your content.

Original Research

Content with original data, case studies, and first-party research gets 2x more backlinks and significantly more AI citations.

Paragraph Atomicity

AI cites individual paragraphs, not sections. Short paragraphs (25-40 words) are more likely to be quoted verbatim.

Question-Format Headings

Question-phrased headings match how users ask AI — "What is X?" headings get directly extracted as answers.

Readability Score

Simpler sentences and vocabulary make content easier for AI to parse and extract direct answers.

Self-Contained Answer Passages

AI extracts individual passages, not whole articles. Self-contained sections are 3x more likely to be cited.

Semantic Completeness

AI compares your content against expected topics. Missing subtopics make competitors more citable.

Sitemap Link Coverage

Homepage links not covered by sitemap may miss crawl prioritization. Important content pages should be in the sitemap for optimal discovery.

Social Proof

Testimonials, reviews, and trust badges increase user confidence and signal real-world authority to AI engines.

Summary Section

A clear summary section gives AI models a ready-made answer to extract and cite.

Table of Contents

A table of contents with anchor links helps AI engines understand content structure and extract section-level answers.

Tables in Content

Tables provide structured data that AI can extract and present as formatted answers.

Tool Description Quality

AI recommends tools based on their description clarity. Vague descriptions lose to specific competitors.

Tool Page Description

A clear tool description helps AI engines understand what your app does and recommend it to users.

E-E-A-T & Trust

18

Experience, Expertise, Authoritativeness, and Trustworthiness signals.

About Page Trust Signals

About pages with address, team info, mission statement, and founding date strengthen organizational trust signals.

Author Bio Content

A substantive bio gives AI models evidence of experience and expertise to cite alongside your content.

Author Bio Link

A linked author bio lets AI verify expertise by cross-referencing the author's credentials and publications.

Author Bio Quality

A detailed bio helps AI verify author expertise and increases the trust weight of your content.

Author Credentials

Explicit credentials (degrees, certifications) strengthen the E-E-A-T signal AI uses to rank content.

Author E-E-A-T Relevance

AI assesses whether the author has relevant expertise for the topic — mismatched authors reduce trust.

Author Name

AI models check authorship to assess content trustworthiness — anonymous content ranks lower in AI results.

Author Photo

Author photos increase perceived trust — AI models factor visual identity into credibility scoring.

Author Social Links

Author social profiles help AI models verify identity and assess real-world authority.

Citation Quality

AI evaluates your sources' quality. Citing authoritative references makes your content more citable.

Content Freshness

AI engines deprioritize stale content. Regular updates keep you in the citation pool.

Credential Verifiability

Verifiable credentials (linked profiles, certifiable degrees) boost AI trust in your expertise claims.

Language Consistency

Content language matching the declared language builds AI trust — mixed-language pages get lower confidence scores.

Modification Date

Modification dates signal that content is maintained and current, boosting AI trust.

Publication Date

Publication dates let AI assess content freshness — undated content is assumed outdated.

Sources & References

Cited sources help AI verify your claims and increase the likelihood of being cited in return.

Trust Page Links

Links to About, Contact, and Privacy pages signal trustworthiness. Google quality raters explicitly check for these pages when assessing E-E-A-T.

YMYL Disclaimer

Disclaimers signal transparency, especially for YMYL content that AI treats with extra caution.

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