What is LLMRank and how is it different from Semrush or Ahrefs?

LLMRank is an AI visibility audit tool that scores how well your website is optimized to appear in ChatGPT, Perplexity, and other LLM-powered search engines. Unlike Semrush or Ahrefs, which focus on traditional keyword rankings and backlinks, LLMRank measures GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) signals - the factors that determine whether AI engines cite your content.

Does LLMRank replace traditional SEO tools like Semrush?

No - LLMRank complements traditional SEO tools. Semrush and Ahrefs excel at tracking keyword rankings, backlink profiles, and technical SEO audits. LLMRank fills the gap they leave: measuring AI/LLM visibility so you can optimize for the growing share of zero-click searches driven by generative AI.

What is an LLM visibility score?

An LLM visibility score measures how well a website's content, structure, schema markup, authority signals, and freshness satisfy the retrieval criteria used by large language models. LLMRank evaluates 6 categories - content structure, schema markup, authority signals, technical accessibility, freshness indicators, and citation readiness - and returns a 0-100 score.

Yes. The free audit gives you a full AI visibility score and category breakdown. The $29 full report unlocks the detailed action plan, PDF export, and priority recommendations - with no subscription required.

How does LLMRank compare with SurferSEO for AI optimization?

SurferSEO is a content optimization tool focused on on-page SEO and keyword density to rank in Google. It does not audit AI/LLM visibility signals. LLMRank focuses exclusively on the GEO/AEO layer that SurferSEO does not cover.

Public audit exampleGenerated from the live audit API

medium.com AI Visibility Score

See how medium.com performs across the six signals LLMRank uses to estimate AI-search visibility, citation readiness, and answer-surface trust.

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Overall score

52/100

Room to improve

Snapshot for https://medium.com/

Updated July 1, 2026

Audit summary

6-category breakdown for medium.com

Content Quality

Weight 30%

Missing H1
1 H2 and 1 H3 detected
16 paragraphs support readable scanning
Very limited body copy (43 words)
Focus keywords are weak or overly concentrated (11.6% density)

Schema Markup

Weight 20%

1 JSON-LD block(s) found
Organization/entity schema detected
Schema types: Organization, ImageObject
No microdata/RDFa markers found

Authority Signals

Weight 15%

Title tag present (31 chars)
Title length is within a strong search snippet range
Meta description present (102 chars)
Meta description length is well calibrated
Canonical link present
No about/company navigation detected

Technical Accessibility

100

Weight 15%

Viewport meta present
HTML lang attribute is set to "en"
1/1 images include alt text

Freshness Indicators

Weight 10%

Freshness evidence score: 0/20
No Last-Modified header
No article:published_time meta detected
No article:modified_time meta detected
No JSON-LD datePublished detected
No JSON-LD dateModified detected
No linked blog/news section detected

LLM Visibility

Weight 10%

robots.txt available (HTTP 200)
robots.txt does not broadly block crawling
AI crawlers blocked: bytespider, gptbot
AI crawler directives found without explicit allow rules
No llms.txt found
Machine-readable context exposed via JSON-LD
Structured data families detected: organization

Priority actions

What would improve medium.com's score next

Public, shareable benchmark

Recommendation 1

Add a clear H1 heading that states the page's primary topic.

Recommendation 2

Strengthen the content hierarchy with clearer H2/H3 sections for key subtopics.

Recommendation 3

Expand the page with more substantive copy so AI systems have enough context to cite.

Recommendation 4

Reduce repetitive keyword usage so the page reads naturally while staying on-topic.

Recommendation 5

Consider FAQ schema on pages that answer recurring buyer questions.

Recommendation 6

Expose freshness signals such as Last-Modified, article:published_time, article:modified_time, or JSON-LD datePublished/dateModified.

Recommendation 7

Review robots.txt directives that may block AI crawlers from accessing the site.

Recommendation 8

Add an llms.txt file describing your site, key pages, and preferred AI-facing entry points.

Turn the benchmark into your growth plan

Run your own domain and get the full report.

Use this public audit as a benchmark, then run your own site to see where you stand and unlock the paid PDF report with prioritized fixes.

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