GEO Check

Tailored for Content Platforms and Growth Teams

Get found and cited by AI

Breaking past standard technical checkpoints. Our analysis engine unites structured data testing, E-E-A-T evaluations, and leading GEO (Generative Engine Optimization) algorithms to uncover your true visibility in the era of AI search.

10,000+

queries referenced in Princeton GEO research

+30–115%

AI visibility lift from source citations

Data Driven

Providing actionable and clear optimization guidelines

Transparent Audit Process

The engine is performing multi-layer analysis on your page. You can track real-time progress below.

Only public http/https URLs are accepted. Intranet addresses are automatically filtered before submission.

Get extended reports and GEO playbooks

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How our diagnostic engine evaluates your content

The analysis follows a two-layer model: rapid script checks handle deterministic code structure, while a powerful semantic engine evaluates the meaning and trustworthiness of your text.

Layer 1 — Technical SEO Foundation

Crucial elements like robots.txt, sitemap.xml, canonical tags, heading hierarchies, schema markup, and /llms.txt configurations are algorithmically validated.

Layer 2 — Content Semantic Reasoning

The engine evaluates E-E-A-T by assessing author expertise, credible citations, content freshness, and depth of topical specificity.

GEO Citability Architecture

Instead of measuring keyword density, the engine scores your page's potential to be quoted by AI based on answer-first structures, data statistics, strict citations, and snippet readiness.

Core Logic and Academic References

Our assessment model extends foundational SEO guidelines and is deeply rooted in cutting-edge academic AI citation research, aimed at elevating machine readability.

Research-backed GEO signals

Princeton KDD 2024 research tested more than 10,000 queries and found that source citations can raise AI visibility by +30–115%, statistics by about +40%, and quotation additions by roughly +30–40%.

Therefore, our auditing methodology favors answer-first sections, machine-readable schema, authoritative external links, and self-contained paragraphs instead of keyword stuffing.

FAQ for growth teams

How is GEO different from classic SEO?

Classic SEO typically prioritizes indexability and organic search results pages, whereas GEO focuses on optimizing content to be easily summarized and cited by conversational AI and generative search functions (e.g., Perplexity, AI Overviews).

Why should my site include an llms.txt file?

Having a well-formatted /llms.txt file natively provides language models with the clear bounds and structured context they inherently prefer, maximizing your content's discoverability.

How is the E-E-A-T score evaluated?

Signals like author expertise, transparent trust pages, verifiable references, and temporal freshness are mathematically tallied, but the final dimension focuses on whether the content relies on specific evidence versus generic summaries.