GEO Audit Report

wikipedia.com

Audited on June 19, 2026

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32Critical

AI Analysis Summary

This page scores a critical 32/100, largely due to significant deficiencies in core areas such as Schema Markup, On-Page Trust, Extractability, and Freshness. These critical gaps severely impede AI models' capacity to understand, cite, and establish trust in the content, rendering it unlikely to be included in generative AI answers. Immediate implementation of structured data, trust signals, content extractability improvements, and freshness indicators is essential to improve its visibility.

Performance Overview

Category Breakdown

93Excellent
AI Crawler Access
  • All 5 AI crawlers (GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended) are allowed
  • No llms.txt file found — consider adding one at /llms.txt to expose a curated, AI-friendly site index
15Critical
Entity Consistency
  • No Organization schema detected — add JSON-LD Organization with name, url, logo, and sameAs links so AI engines can resolve the entity
  • Organization schema has no sameAs URLs — list official LinkedIn, X, Crunchbase, Wikipedia, GitHub profiles to disambiguate the entity
  • No brand name declared in schema, og:site_name, or <title> separator — add canonical brand name everywhere
  • Brand "wikipedia" appears 9 times in body content
70Good
Citability (Structure)
  • Exactly one H1 tag — ideal for AI extraction
  • 5 H2 subheadings provide scannable structure
  • 7 lists (6.8/1000 words) — strong machine-readable density
  • No tables found — add a comparison or data table where relevant
7Critical
Extractability
  • No TL;DR / Key Takeaways block found — add one near the top (3–5 bullets) as a primary AI citation target
  • No H2 sections open with a 40–60 word direct answer — tighten opening paragraphs
  • 5/5 section openings start with pronouns or filler — rewrite to stand alone
  • 3 H2 section(s) in the top third but none have a direct, self-contained answer opening — these are your highest-value real estate for AI citations
0Critical
Schema Markup
  • No Organization schema detected — consider adding one
  • No Article schema detected — consider adding one
  • No FAQPage schema detected — consider adding one
  • No HowTo schema detected — consider adding one
42Needs Work
Content Authority
  • No author byline found — add author name and bio to establish authority
  • Original data + citable stats appear in the first 20% of the page (5 early stats, 0 first-hand voice markers) — ideal for attribution
  • 356 link(s) to authoritative sources found
  • No inline source attributions ("according to X", "per the Y report") — even unlinked source mentions strengthen GEO credibility
0Critical
On-Page Trust
  • No named customers or "Trusted by" section detected — AI engines heavily weight this on-page proof
  • No third-party review ratings (G2, Capterra, Trustpilot, etc.) visible on page
  • No quantified case metrics found — AI engines prefer pages with specific numbers over vague claims
  • No security/compliance certifications referenced (SOC 2, HIPAA, GDPR, ISO 27001…)
0Critical
Freshness
  • No publication or last-modified date detected (no JSON-LD, OpenGraph, or <time> elements) — AI engines can't tell how current this content is
82Excellent
Technical SEO
  • Server-Rendered Content: Passed
  • Meta Title: Failed — Title is too short — expand to at least 30 characters
  • Meta Description: Passed
  • Canonical Tag: Failed — Add a canonical tag to prevent duplicate content issues
Server-Rendered Content1035 words rendered server-side
Meta Title14 characters: "WikipediaClose"

Title is too short — expand to at least 30 characters

Meta Description130 characters
Canonical TagMissing

Add a canonical tag to prevent duplicate content issues

Open Graph Tags3/3 tags present
Viewport Meta Taginitial-scale=1,user-scalable=yes
HTTPSYes
Response Time297ms
Content-Type Headertext/html
Language Attributeen
H1 TagPresent
Paragraph Density2.3 avg sentences/paragraph across 6 paragraphs
80Excellent
Brand Presence (SERP)
  • Strong Reddit presence: 10 mentions found
  • Strong LinkedIn presence: 10 mentions found
  • Good web presence: 10 general mentions found
  • Brand mentioned across 3 platforms — good diversity

Action Plan

Prioritized recommendations to improve your AI SEO readiness

#RecommendationImpactEffortCategory
1

Fix Technical SEO: Meta Title and Canonical Tag

Correct the overly short meta title ('WikipediaClose') to be descriptive and keyword-rich (e.g., 50-60 characters) and implement a canonical tag to clearly indicate the preferred version of the page, preventing duplication issues.

mediumlowTechnical SEO
2

Implement Publication and Last Modified Dates

Clearly display both the original publication date and the last modified/updated date on the page to provide essential freshness signals to AI models and users, improving content relevance assessment.

mediumlowFreshness
3

Add Comprehensive Schema Markup

Implement relevant structured data (e.g., Article, Organization, or other appropriate types) using JSON-LD to significantly improve AI understanding of the page's content, purpose, and entity relationships.

highmediumSchema Markup
4

Improve Extractability with a TL;DR Block

Introduce a concise 3-5 bullet TL;DR summary immediately after the introduction. This will significantly enhance AI's ability to quickly grasp and extract key insights from the page.

highmediumExtractability
5

Enhance Content Authority with Author Information and Inline Attributions

Add a clear author bio with credentials (if applicable) and integrate inline (non-linked) source attributions throughout the content to signal deeper research, expertise, and trustworthiness.

highmediumContent Authority
6

Strengthen Entity Consistency

Implement Organization schema, add `og:site_name` to meta tags, and ensure the brand name appears consistently in the page title. Include `sameAs` profiles in your schema to link to official social media or other online presences.

mediummediumEntity Consistency
7

Establish On-Page Trust Signals

Integrate visible trust indicators such as named customers, review ratings, quantified case metrics, security/compliance certifications, or customer-count claims to build credibility and demonstrate expertise, experience, authoritativeness, and trustworthiness (EEAT).

highhighOn-Page Trust
8

Refine H2 Section Openings

Refine H2 section openings to be self-contained and within the ideal 40-60 word range. This will provide clearer context for AI models, improving content segmentation and answer extraction quality.

mediummediumExtractability
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Scored using the published methodology · What is GEO?