GEO Audit Report

sdi-pme.fr

Audited on September 11, 2026

46Needs Work

AI Analysis Summary

This page scores 46/100, indicating significant opportunities for improvement to enhance its likelihood of being pulled into AI-powered answers. Key weaknesses lie in Extractability (0/100) and On-Page Trust (15/100), where the content lacks structured answers and tangible trust signals. While content depth and freshness are strong, the absence of directly answerable sections and authoritative citations prevents AI models from effectively extracting and citing information.

Performance Overview

Category Breakdown

98Excellent
AI Crawler Access
  • All 5 AI crawlers (GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended) are allowed
  • llms.txt detected with 22 sections and 919 links — gives AI engines a curated index of your content
75Good
Entity Consistency
  • Organization schema present with name "Syndicat des indépendants et des TPE"
  • sameAs links to 5 distinct platforms — strong entity consistency
  • Brand name varies across surfaces: "Syndicat des indépendants et des TPE" vs. "Syndicat des Indépendants et des TPE - Ensemble pour réussir" — pick one canonical spelling and use it everywhere
  • Brand "Syndicat des indépendants et des TPE" appears 6 times in body content
50Needs Work
Citability (Structure)
  • 2 H1 tags found — use only one H1 per page for clarity
  • 13 H2 subheadings provide scannable structure
  • 28 lists (5.1/1000 words) — strong machine-readable density
  • No tables found — add a comparison or data table where relevant
0Critical
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
  • 13/13 section openings start with pronouns or filler — rewrite to stand alone
  • 5 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
30Critical
Schema Markup
  • BreadcrumbList schema found and valid
  • Organization schema found and valid
  • WebSite schema found and valid
  • No Article schema detected — consider adding one
54Needs Work
Content Authority
  • Author attribution detected — builds trust for AI citations
  • 32 statistics / data points detected, but none in the first 20% — move original data higher so AI cites you as the source
  • 145 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
15Critical
On-Page Trust
  • Only 2 named customer(s) detected — expand the logo wall
  • 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
  • 1 security/compliance cert referenced (GDPR) — add more if applicable
80Excellent
Freshness
  • Structured date found: published 2021-10-25, last updated 2026-05-22
  • Date is in metadata but not visible on the page — render a 'Last updated' string for users and AI alike
  • Content is 111 days old — very fresh
  • Recently re-edited — dateModified is more recent than datePublished and within the last year
85Excellent
Technical SEO
  • Server-Rendered Content: Passed
  • Meta Title: Passed
  • Meta Description: Failed — Meta description exceeds 155 chars — will be truncated in AI/SERP snippets
  • Canonical Tag: Passed
Server-Rendered Content5482 words rendered server-side
Meta Title51 characters: "SDI : Syndicat des Indépendants et des TPEreCAPTCHA"
Meta Description156 characters

Meta description exceeds 155 chars — will be truncated in AI/SERP snippets

Canonical Taghttps://sdi-pme.fr/
Open Graph Tags3/3 tags present
Viewport Meta Tagwidth=device-width, initial-scale=1
HTTPSYes
Response Time1131ms
Content-Type Headertext/html
Language Attributefr-FR
H1 Tag2 found (should be 1)

Multiple H1 tags found — use only one per page

Paragraph Density1.4 avg sentences/paragraph across 43 paragraphs
79Good
Brand Presence (SERP)
  • Strong Reddit presence: 10 mentions found
  • Strong LinkedIn presence: 10 mentions found
  • 9 general web mention(s) found
  • Brand mentioned across 3 platforms — good diversity

Action Plan

Prioritized recommendations to improve your AI SEO readiness

#RecommendationImpactEffortCategory
1

Add a TL;DR (Too Long; Didn't Read) block

Implement a 3-5 bullet point TL;DR summary immediately after the introduction to provide a quick, scannable overview of the page's main takeaways, directly addressing the 0/100 Extractability score.

highlowExtractability
2

Correct H1 Heading Structure

Ensure there is only one H1 tag on the page to improve semantic clarity and adhere to best practices for content structure, as two H1s were detected.

mediumlowTechnical SEO
3

Optimize H2 Section Openings for Direct Answers

Rewrite the opening sentences of all 13 H2 sections to be self-contained, answer-first, and within the ideal 40-60 word range to boost extractability and direct citation potential.

highmediumExtractability
4

Integrate Visible Customer Reviews/Testimonials

Add prominent sections for customer review ratings and testimonials to build On-Page Trust, which currently scores 15/100.

highmediumOn-Page Trust
5

Include Explicit Term Definitions

Introduce a glossary or contextually embedded definitions for key industry terms. This improves extractability for AI models looking for precise explanations.

highmediumExtractability
6

Add Hyperlinked Citations to Authoritative Sources

Supplement the existing 145 citations by including hyperlinks to highly authoritative, external domains to enhance Content Authority and provide strong grounding signals for AI models.

highmediumContent Authority
7

Create a Dedicated FAQ Section

Develop a distinct FAQ section with question-and-answer pairs. This provides clear, citable content, improves structure, and can be marked up with FAQPage schema.

mediummediumCitability
8

Display Quantified Case Metrics and Customer Counts

Incorporate concrete data such as 'X number of customers served' or 'Y% improvement' to provide evidence of success and bolster On-Page Trust, currently a significant weakness.

highhighOn-Page Trust
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