Overall AI readiness score
A combined result across all audit signals.
Excellent
AI readiness audit: 7/21/2026Public technical data
Overall AI readiness assessment
How ready lacreme.ai is for AI systems
Lacreme.ai was independently audited by llmsmap. lacreme.ai currently scores 76/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.
Audit context
llms.txt is accessible and contains 458 tokens. An expanded llms-full.txt is also available with 454 tokens, giving agents more direct context. 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 95/100, Accessibility 96/100, Best Practices 96/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- Expanded llms-full.txt
- 1 sitemap declaration
- Strong Google agentic signals
Priority improvements
- 1Add JSON-LD for the organisation, website, and core entities.
- 2Complete OpenGraph and canonical homepage metadata.
llms.txt tokens458
llms-full.txt tokens454
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.
95
Performance
96
Accessibility
96
Best Practices
100
Technical SEO
100
Agentic Browsing
What these results mean
The mobile page renders efficiently; its largest visible content block appeared in 2.8 s.
Accessibility scored 96/100, Best Practices 96/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. 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.
FCP1.7 s
First content
LCP2.8 s
Main content
CLS0
Layout stability
TBT10 ms
Blocking time
SI2.1 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.
7/21/2026Lighthouse 13.4.0Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
ai.txt
ai.txt file was not found
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.
# Lacreme.ai > L'annuaire francophone de référence des meilleurs outils d'intelligence artificielle. Plus de 2 000 outils IA testés et évalués selon une méthodologie stricte basée sur quatre critères : Performance, Rapport qualité-prix, Facilité d'utilisation et Confidentialité des données. Ce fichier suit la spécification llmstxt.org. Il expose une carte structurée du site pour les agents IA (ChatGPT, Claude, Perplexity, Google AI Overviews) afin de faciliter l'indexation et la citation. Versions linguistiques : - Français (canonique) : https://www.lacreme.ai - English : https://www.lacreme.ai/en - Deutsch : https://www.lacreme.ai/de Pour la version exhaustive avec descriptions complètes : https://www.lacreme.ai/llms-full.txt ## Catégories principales ## Professions ## Articles incontournables ## Outils IA populaires ## Pages utiles - [Classement des meilleurs outils IA](https://www.lacreme.ai/classement) - [Tous les outils IA](https://www.lacreme.ai/outil) - [Tous les articles](https://www.lacreme.ai/post) - [Toutes les catégories](https://www.lacreme.ai/categorie) - [Toutes les professions](https://www.lacreme.ai/profession) - [À propos / Auteur](https://www.lacreme.ai/auteur) - [Newsletter IA](https://www.lacreme.ai/newsletter-ia) - [Soumettre un outil](https://www.lacreme.ai/lister-un-outil) - [Contact](https://www.lacreme.ai/contact) - [Plan du site](https://www.lacreme.ai/plan-du-site) - [Sitemap XML](https://www.lacreme.ai/sitemap.xml) ## Méthodologie Chaque outil est noté selon quatre critères pondérés : Performance (qualité des résultats), Rapport qualité-prix, Facilité d'utilisation, et Confidentialité des données. Les outils notés "vérifiés" ont été testés en conditions réelles par l'équipe éditoriale. Éditeur : Benjamin Roux — fondateur et directeur de la publication.
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Added 7/19/2026