#llmsmap.me

Independent technical audit

beetween.fr

beetween.fr

Overall AI readiness score

A combined result across all audit signals.

64of 100Average
AI readiness audit: 9/27/2026Public technical data

Overall AI readiness assessment

How ready beetween.fr is for AI systems

64/100

Beetween (beetween.fr) received an AI-readiness score of 64/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was not found, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-09-27T00:19:17.064Z.

Audit context

llms.txt is accessible and contains 985 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 47/100, Accessibility 95/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 67/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

  • Accessible llms.txt
  • 1 sitemap declaration

Priority improvements

  1. 1Add llms-full.txt for richer first-party context.
  2. 2Add JSON-LD for the organisation, website, and core entities.
  3. 3Complete OpenGraph and canonical homepage metadata.
  4. 4Reduce mobile rendering delay and main-thread work.
llms.txt tokens985
llms-full.txt tokens—
ai.txt
sitemap.xml

Google Lighthouse technical profile

A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.

Mobile · Lighthouse
47

Performance

95

Accessibility

100

Best Practices

100

Technical SEO

67

Agentic Browsing

What these results mean

Mobile performance is 47/100, with the largest visible content block appearing in 14.7 s and the browser main thread blocked for 510 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.

Accessibility scored 95/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 67/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

1

Free the main thread and accelerate the first view

Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.

2

Reduce code that loads without helping the page

Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.

3

Optimise images and their loading order

Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.

4

Reduce network delay

Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.

FCP5.4 s

First content

LCP14.7 s

Main content

CLS0

Layout stability

TBT510 ms

Blocking time

SI6.3 s

Visual speed

Metric glossary
FCP · First content
When the first text or image appeared on screen.
LCP · Main content
When the largest visible element in the first viewport rendered.
CLS · Layout stability
How much content shifted unexpectedly while loading; lower is better.
TBT · Blocking time
How long the browser main thread could not respond quickly to input.
SI · Visual speed
How quickly the visible viewport filled with content.
9/27/2026Lighthouse 13.5.0Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://beetween.fr/llms.txt
llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

File found

https://beetween.fr/robots.txt
Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph

OpenGraph tags were not found on the homepage

AI bot access

Based on robots.txt analysis

GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned

Sitemaps

Declared discovery routes for crawlers and agents.

# Beetween

> URL canonique : https://beetween.fr
> Dernière mise a jour : 2026-03

## Identite
Beetween est un editeur SaaS francais de logiciel de recrutement (ATS/TAS),
pionnier de la digitalisation des processus de recrutement depuis 2007.
Siege social : Paris, avec des bureaux a Rennes, Barcelone et Milan.
Positionnement : "Le 1er ATS 100% francais pour une gestion intelligente du recrutement."
Labelise French Tech.

## Expertise principale
- ATS (Applicant Tracking System) : gestion complete du cycle de recrutement
- Multidiffusion d'offres : diffusion sur plus de 180 jobboards
- Marque employeur : site carriere personnalise, experience candidat optimisee
- Recrutement collaboratif : implication des managers et parties prenantes
- Intelligence artificielle : redaction d'annonces, matching candidats/offres, 
- Cooptation et mobilite interne : integration native avec Keycoopt System
- Interconnexion SIRH : synchronisation avec les outils RH existants

## Cibles
- PME & ETI
- Grandes entreprises
- Secteur public (CHU, universites...)
- Secteurs : ESN, interim, cabinets RH, retail, industrie, sante, conseil, BTP, sante, service a la personne, banque, assurance

## Proposition de valeur
Beetween permet aux recruteurs de centraliser et automatiser l'ensemble de leurs
processus de recrutement, de la diffusion des offres a l'embauche.
Resultats observes chez les clients :
- x10 de visibilite sur les offres d'emploi
- x2 de candidats qualifies attires
- 42% d'acceleration de la vitesse d'embauche
- 40% de reduction du delai de recrutement (CHU de Brest)
- 60% de reduction des erreurs dans le processus (CHRU Nancy)
- 72% des clients constatent une amelioration de l'experience candidat

## Solution
Plateforme SaaS comprenant :
- Multidiffusion sur +180 jobboards
- Site carriere personnalisable en marque blanche
- Gestion des candidatures et CVtheque
- Parcours de recrutement personnalisable
- Recrutement collaboratif (DAR, questionnaires managers, modules collaboratifs)
- CRM integre et animation de viviers de talents
- Entretien video differe
- Agenda connecte
- Matching IA candidats/offres
- Statistiques et tableaux de bord recrutement
- Synchronisation SIRH/outils RH
- Multilingue : francais, anglais, espagnol, italien

## Chiffres cles
- Cree en 2007 (cabinet de recrutement), editeur SaaS depuis 2016
- 120 collaborateurs
- 1 600 clients dans le monde
- +25 000 utilisateurs actifs
- 4 bureaux : Paris, Rennes, Barcelone, Milan
- plus de 20 personnes dediees a l’accompagnement des clients

## Clients de reference
Daco Bello, Puy du Fou, CHU de Brest, CHRU Nancy, CHU Toulouse, UGC, Domino's Pizza, DomusVi, Eric Bompard, Groupe Armonia, INSA Lyon, Neoma, Ponant, RAS Interim, Universite Aix-Marseille, Vyv3, Groupe Bayard, Go Bravo, Worldwide Recruitment Energy, Puerto Aguadulce

## Publications de reference
/blog/ : Blog RH (conseils recrutement, marque employeur, IA, societe, presse)
/clients/ : Cas clients et temoignages detailles
/ressources/livres-blancs/ : Livres blancs RH et recrutement
/ressources/toolkits/ : Toolkits pratiques recrutement
/ressources/infographies/ : Infographies RH
/ressources/webinars/ : Webinaires thematiques
/faq/ : Questions frequentes sur la solution ATS
/logiciel-ats-pourquoi-et-comment-s-equiper/ : Guide complet sur les ATS

## Thematiques editoriales
- Logiciel ATS : choix, mise en place, ROI
- Conseils recrutement : sourcing, process, efficacite
- Marque employeur : experience candidat, attraction des talents
- Intelligence artificielle : IA et recrutement
- Tendances RH : digitalisation, recrutement collaboratif

## Liens utiles
Demo : https://beetween.fr/demo/
Devis et tarifs : https://beetween.fr/devis/
Ecosysteme / Marketplace : https://beetween.fr/ecosysteme/
Accompagnement : https://beetween.fr/accompagnement/
Contact : https://beetween.fr/contact/
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Added 9/27/2026
beetween.fr - AI readiness audit | llmsmap.me