How can I improve my llms.txt File score?

No llms.txt file found at https://unisub.io/llms.txt (HTTP 404).

How can I improve my Schema.org Structured Data score?

No JSON-LD structured data found across homepage, FAQ page, and sampled content pages.

How can I improve my Q&A Content Format score?

Q&A formatting is missing on most eligible pages. Direct-answer formatting appears on too few pages. Multiple H1 tags found (4).

How can I improve my RSS/Atom Feed score?

Homepage does not link to an RSS/Atom feed in . No accessible RSS/Atom feed found in homepage link tags, common feed paths, or sampled blog feed patterns.

How can I improve my Content Licensing & AI Permissions score?

No ai.txt file found. No content policy or licensing language visible. No license or copyright properties in schema.

unisub.io

Weak AI visibility with 16 of 48 criteria passing. Biggest gap: llms.txt file.

41/100

↑3 since v2

Citation Avg

Answer Readiness

~40% weight

5/10

Content Structure

~25% weight

4/10

Trust & Authority

~15% weight

2/10

Technical Foundation

~10% weight

3/10

AI Discovery

~10% weight

3/10

Verdict

Critical AEO gaps at 41/100 - unisub.io is largely invisible to AI engines. Key strengths include Fact & Data Density, Canonical URL Strategy, and Duplicate Content Blocks. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format.

Top priorities

llms.txt FileDiscovery+10 pts

Schema.org Structured DataTrust+10 pts

Q&A Content FormatStructure+10 pts

#10059of 13363

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View improvement plan

How to Improve

Current

41/100

Projected

76/100

42Total Fixes

14Quick Wins

~108hEst. Effort

Quick Wins

Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersBuild FAQ sections with schemaLink orphan pages into site navigationImplement semantic HTML5 elementsAdd ai.txt and content licensingEnhance author and expert schemaImprove query-answer alignmentAdd visible date signalsMake pages solve the user task fasterImprove citation-ready writing qualityReduce render-blocking resourcesReduce document weight

Fix

Impact

Effort

Create /llms.txt file

Add a machine-readable llms.txt file at your domain root that describes your site, services, and key pages for AI engines.

critical

low

Create /llms.txt file

critical|low

Add llms-full.txt with extended content

Create a comprehensive llms-full.txt with detailed page descriptions, content summaries, and topic taxonomy.

medium

low

Add llms-full.txt with extended content

medium|low

Fix HTML structure and meta tags

Ensure clean, well-structured HTML with proper meta tags, HTTPS, and parseable content for AI crawlers.

high

low

Fix HTML structure and meta tags

high|low

Configure robots.txt for AI crawlers

Update robots.txt to explicitly allow AI crawlers and include sitemap directive.

high

trivial

Configure robots.txt for AI crawlers

high|trivial

Reduce render-blocking resources

Minimize blocking scripts and stylesheets in <head> to improve content availability for AI crawlers.

high

low

Reduce render-blocking resources

high|low

Reduce document weight

Trim oversized HTML, excessive DOM nodes, and large inline payloads that slow AI crawlers.

high

low

Reduce document weight

high|low

Add internationalization signals

Implement hreflang tags and lang attributes so AI engines serve the correct language version when answering queries.

critical

medium

Add internationalization signals

critical|medium

Create complete sitemap.xml

Generate a comprehensive sitemap with lastmod dates for all important pages.

low

Create complete sitemap.xml

low|low

Improve server response efficiency

Optimize compression, cache headers, redirect chains, and HTML payload size for faster AI crawler access.

medium

low

Improve server response efficiency

medium|low

Top Opportunities10

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

Fix It With AI43

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Potential

Score Breakdown

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Site Pages

URLCitationSiteIn-linksCategoryIssuesWords

unisub.io/faqUnisub allows merchants to accept recurring crypto payments.

F33

faq

1,062

unisub.io/faqF33