GEO Audit Report

casaprabi.it

Audited on June 3, 2026

Needs Work

AI Analysis Summary

This page, with an overall score of 49/100, requires significant work to improve its chances of being pulled into AI-generated answers. Key areas for improvement include extremely low extractability and on-page trust scores, which severely limit the page's utility for LLMs. Addressing these foundational issues, alongside enhancing schema and content authority, will be critical for better performance.

Performance Overview

Category Breakdown

Excellent

AI Crawler Access

All 5 AI crawlers (GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended) are allowed
llms.txt detected with 7 sections and 0 links — gives AI engines a curated index of your content
llms-full.txt also present — full-text variant for deeper AI ingestion

Good

Entity Consistency

Organization schema present with name "Casa Prabi"
sameAs links to 3 platforms (Facebook, Instagram, casaprabi.bookpage.io) — good coverage; add 2 more for full credit
Brand name "Casa Prabi" is identical across schema, og:site_name, and <title> — consistent entity signal
Brand "Casa Prabi" appears 64 times in body content

Good

Citability (Structure)

Exactly one H1 tag — ideal for AI extraction
11 H2 subheadings provide scannable structure
19 H3 tags add nested structure
4 lists found — good, but density is low for the content length

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
8/11 section openings start with pronouns or filler — rewrite to stand alone
11 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

Needs Work

Schema Markup

Organization schema found and valid
WebSite schema found and valid
FAQPage schema found and valid
BreadcrumbList schema found and valid

Good

Content Authority

Author attribution detected — builds trust for AI citations
Original data + citable stats appear in the first 20% of the page (6 early stats, 0 first-hand voice markers) — ideal for attribution
60 outbound links but none to recognized authoritative domains
No inline source attributions ("according to X", "per the Y report") — even unlinked source mentions strengthen GEO credibility

Critical

On-Page Trust

"Trusted by" section found but no recognizable brand names — add alt text or named customer logos
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…)

Excellent

Freshness

Structured date found: published 2026-01-05, last updated 2026-05-25
Date is in metadata but not visible on the page — render a 'Last updated' string for users and AI alike
Content is 9 days old — very fresh
Recently re-edited — dateModified is more recent than datePublished and within the last year

Excellent

Technical SEO

Server-Rendered Content: Passed
Meta Title: Passed
Meta Description: Passed
Canonical Tag: Passed

Server-Rendered Content7048 words rendered server-side

Meta Title59 characters: "Holiday Apartments Arco: Castle View & Parking | Casa Prabi"

Meta Description148 characters

Canonical Taghttps://casaprabi.it/en

Open Graph Tags3/3 tags present

Viewport Meta Tagwidth=device-width, initial-scale=1

HTTPSYes

Response Time947ms

Content-Type Headertext/html

Language Attributeen

H1 TagPresent

Paragraph Density2.1 avg sentences/paragraph across 27 paragraphs

Critical

Brand Presence (SERP)

No Reddit mentions found — consider building community presence on Reddit
No LinkedIn mentions found — publish content and engage on LinkedIn
Good web presence: 10 general mentions found
Brand found on only 1 platform — diversify your online presence

Action Plan

Prioritized recommendations to improve your AI SEO readiness

#	Recommendation	Impact	Effort	Category
1	Add a TL;DR Block Implement a 3–5 bullet TL;DR block immediately after the introductory paragraph. This will significantly improve extractability by providing a concise summary of the page's main points, directly addressing the current absence of such a block.	high	low	Extractability
2	Integrate Social Proof and Reviews Add visible sections for named customer testimonials, review ratings, quantified case metrics, and security/compliance certifications to address the critically low On-Page Trust score. Displaying these elements prominently will build credibility and trust for AI models.	high	medium	On-Page Trust
3	Improve H2 Section Openings Rephrase all H2 section openings to be self-contained and between 40-60 words. Currently, none meet the ideal word count, and only 3/11 are self-contained, hindering direct answer extraction from these key sections.	high	medium	Extractability
4	Incorporate Authoritative External Citations Review the 60 existing hyperlinks and ensure a significant portion link to authoritative, relevant external domains. Currently, zero links are to authoritative sources, which limits the Content Authority score.	high	medium	Content Authority
5	Expand Specific Schema Markup Beyond existing schemas, add more granular and descriptive schema types relevant to the page's content, such as 'LocalBusiness' or 'Service' if applicable. This will help AI models better understand the page's specific intent and improve machine readability, especially since page intent is currently 'unknown'.	medium	medium	Schema Markup
6	Add Inline Source Attributions and Data Integrate inline, non-linked source attributions for facts and statistics, and replace vague superlatives with data-backed claims. This will enhance Content Authority by providing clear sourcing for information, which LLMs can recognize even without hyperlinks.	medium	medium	Content Authority
7	Increase Use of Lists Incorporate more bulleted or numbered lists throughout the content to improve readability and extractability. The current rate of 0.6 lists per 1000 words is very low, making information harder for AI to process into concise answers.	medium	low	Citability

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Scored using the published methodology · What is GEO?