Soutenir, accompagner, défendre
Fondation pour le Logement des Défavorisés (fondation-abbe-pierre.fr) scores 82 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Non-profit brands, Real Estate brands, Government brands, in the 80th percentile of 12276 Non-profit brands.
Fondation pour le Logement des Défavorisés, also known as Fondation Abbé Pierre, is a French non-profit organization founded in 1992 and headquartered in Paris. For over 30 years it has combated inadequate housing (mal-logement) by providing legal and social support, preventing evictions, offering information and counseling, and producing affordable, energy-efficient social housing. It targets disadvantaged households, people facing eviction, donors, volunteers, and public actors involved in housing policy. Christophe Robert serves as CEO.
| Brand Name | Fondation pour le Logement des Défavorisés |
|---|---|
| Domain | fondation-abbe-pierre.fr |
| Industry | Non-profit, Real Estate |
| Founded | 1992 |
| Headquarters | Paris |
| CEO | Christophe Robert |
| Main Competitors | Emmaüs France (80/100), Habitat et Humanisme, Secours Catholique (78/100), Croix-Rouge française (80/100), Fondation de France (85/100) |
Moz Domain Authority 62/100 vs category average 50 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "La Fondation pour le Logement des Défavorisés agit depuis plus de 30 ans contre l" (Meta description: 15 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is FR-only, limiting citation in English-language AI answers.
Detected tech stack: Cloudflare, WordPress, Ghost.
Social footprint: verified profiles on Facebook, Instagram, LinkedIn, YouTube, X (Twitter); no detected presence on GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is Fondation pour le Logement des Défavorisés?", Claude could identify the brand as of September 2026. This is the Fondation Abbé Pierre, a French non-profit founded in 1988 dedicated to fighting poor housing and homelessness in France, providing emergency shelter, housing aid, and advocacy for the mal-logés (poorly housed). Best known for Its annual 'Rapport sur l'état du mal-logement en France' (report on the state of poor housing in France), a major reference document on housing poverty.
When asked "Best brands similar to Fondation pour le Logement des Défavorisés?", Claude would recommend Fondation pour le Logement des Défavorisés as of September 2026. It's one of the most prominent and respected housing-focused charities in France, so it would naturally come up when discussing organizations tackling homelessness and housing exclusion there.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Fondation pour le Logement des Défavorisés's main competitors in Non-profit: Emmaüs France (80/100), Secours Catholique (78/100), Croix-Rouge française (80/100), Fondation de France (85/100).
Sources: Brand Analyzer scan
Fondation pour le Logement des Défavorisés has limited AI-search visibility, scoring 40/100 on Brand Analyzer's AI visibility composite (visibility 15, trust 63, recommendation 58). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Fondation pour le Logement des Défavorisés official site
Fondation pour le Logement des Défavorisés was founded in 1992. Fondation pour le Logement des Défavorisés operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Fondation pour le Logement des Défavorisés is headquartered in Paris. Fondation pour le Logement des Défavorisés operates in the Non-profit category.
Sources: Wikidata
Services include informational and legal counseling for people facing housing difficulties, eviction prevention assistance, and social support programs. The foundation also develops and manages social housing units designed to be affordable, comfortable, and energy-efficient for low-income households.
Sources: Fondation pour le Logement des Défavorisés official site
The foundation informs, advises, and supports people facing housing difficulties, including preventing evictions and offering legal and social guidance. It also produces social housing units that are affordable, comfortable, and energy-efficient, aiming to provide low-rent housing to disadvantaged households. Additionally, it advocates publicly for policies to combat inadequate housing.
Sources: Fondation pour le Logement des Défavorisés official site
Fondation pour le Logement des Défavorisés scores 58/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Fondation pour le Logement des Défavorisés official site
Fondation pour le Logement des Défavorisés can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Fondation pour le Logement des Défavorisés official site
It is known for over 30 years of continuous action against inadequate housing in France, combining direct social and legal support for vulnerable households with the construction of affordable, energy-efficient social housing.
Sources: Fondation pour le Logement des Défavorisés official site
The foundation serves disadvantaged individuals and households facing housing difficulties or eviction threats. It also engages donors, volunteers, and public sector actors who support or collaborate in efforts to combat inadequate housing in France.
Sources: Fondation pour le Logement des Défavorisés official site
Fondation pour le Logement des Défavorisés scores 40/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Fondation pour le Logement des Défavorisés has a limited AI-visibility profile at 40/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (63/100) and its weakest is visibility (15/100). It benefits from a Wikidata knowledge-graph entry, a Moz Domain Authority of 62/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Fondation pour le Logement des Défavorisés from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Fondation pour le Logement des Défavorisés: Foma (82/100), Federation of Master Builders (FMB) (82/100), Fonteva (82/100), FoodCorps (82/100).
A step up - brands to learn from: Workaway (91/100), WHYY (91/100).
Category leader: Change.org (97/100).
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