GEO Audit Report

wikipedia.com

Audited on June 17, 2026

Critical

AI Analysis Summary

This page scored a critical 32/100, indicating severe limitations for AI citation. Major blocking issues include a complete absence of schema markup (0/100), non-existent on-page trust signals (0/100), and exceptionally poor content extractability (7/100). Addressing these core deficiencies is urgent to enable AI models like Google AI Overviews, ChatGPT, Claude, and Gemini to reliably pull and cite content from this page.

Performance Overview

Category Breakdown

Excellent

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

Critical

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

Good

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

Critical

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

Critical

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

Needs 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

Critical

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…)

Critical

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

Excellent

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 Time199ms

Content-Type Headertext/html

Language Attributeen

H1 TagPresent

Paragraph Density2.3 avg sentences/paragraph across 6 paragraphs

Excellent

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

#	Recommendation	Impact	Effort	Category
1	Add a TL;DR Block Insert a concise 3-5 bullet point TL;DR summary immediately after the introduction to improve content extractability for AI models.	high	low	Extractability
2	Add Author Bio and Credentials Include a clear author biography with relevant credentials on the page to boost content authority and expertise signals.	high	low	Content Authority
3	Add Publication and Last-Modified Dates Display clear publication and last-modified dates on the page to indicate content freshness and improve AI's understanding of content recency.	high	low	Freshness
4	Improve Meta Title and Add Canonical Tag Lengthen the meta title to be descriptive (currently 'WikipediaClose') and add a canonical tag to address technical SEO deficiencies and ensure proper indexing.	medium	low	Technical SEO
5	Implement /llms.txt Protocol Create and deploy an /llms.txt file to explicitly declare content usage policies for AI models, leveraging this new GEO protocol.	medium	low	Crawler Access
6	Improve H2 Openings for Extractability Rewrite H2 section introductions to be 40-60 words long and self-contained, avoiding pronouns or filler words, for better AI extractability.	high	medium	Extractability
7	Add FAQ Section with Schema Markup Create a dedicated FAQ section addressing common questions, ideally with FAQPage schema markup, to improve citability and extractability for AI models.	high	medium	Citability
8	Incorporate Inline Source Attributions Add non-linked, inline source attributions where factual claims are made to aid LLMs in direct citation and enhance content authority.	high	medium	Content Authority
9	Implement Schema Markup Implement relevant structured data (e.g., Article, Organization schema) to clearly define page content and entities for AI understanding and citation.	high	medium	Schema Markup
10	Enhance On-Page Trust Signals Introduce elements like named customer testimonials, review ratings, or quantifiable case metrics to establish critical on-page trust.	high	medium	On-Page Trust

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Scored using the published methodology · What is GEO?