SOS International
We help People (sos.eu) scores 68 out of 100 on Brand Analyzer, placing it in the Developing tier among Other brands, in the 29th percentile of 37644 Other brands.
We help People is associated with SOS International, an assistance company founded in 1972 that provides support services on behalf of Nordic insurance companies. The organization operates under the sos.eu domain, offering assistance solutions to people and organizations in the Nordic region. Specific details about its service scope, structure, or leadership are not provided in available information, limiting a more detailed factual description.
| Brand Name | We help People |
|---|---|
| Domain | sos.eu |
| Industry | Other |
| Founded | 1972 |
| Main Competitors | Allianz Partners (76/100), Europ Assistance (85/100), AXA Partners (75/100), Falck (79/100), Mapfre Asistencia (88/100) |
Moz Domain Authority 42/100 vs category average 37 / leader 94 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #924,461 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
We help People appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "SOS International provides assistance on behalf of the Nordic insurance companies" (Meta description: 11 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), og:title, og:description, og:type, Twitter cards, canonical. Adding Organization and 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 DA-only, limiting citation in English-language AI answers.
Detected tech stack: Vue.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram, GitHub; no detected presence on Facebook, YouTube - 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 October 2026.
When asked "What is We help People?", Claude could not identify the brand as of October 2026. I don't recognize a specific company called "We help People" at sos.eu, likely because it's too small, niche, or lacks enough web presence in my training data.
When asked "Best brands similar to We help People?", Claude would not surface We help People as of October 2026. I can't recommend a company I can't verify or identify with any confidence.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
We help People's main competitors in Other: Allianz Partners (76/100), Europ Assistance (85/100), AXA Partners (75/100), Falck (79/100), Mapfre Asistencia (88/100).
Sources: Brand Analyzer scan
We help People has limited AI-search visibility, scoring 40/100 on Brand Analyzer's AI visibility composite (visibility 40, trust 30, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: We help People official site
We help People was founded in 1972. We help People operates in the Other category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
We help People scores 50/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Other options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: We help People official site
We help People 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: We help People official site
We help People scores 40/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
We help People 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 recommendation likelihood (50/100) and its weakest is trust (30/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #924,461 (Tranco) and a Moz Domain Authority of 42/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify We help People from memory, confirming the gaps above.
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 We help People: Sonett (68/100), Solairus Aviation (68/100), Southern Plains Land Trust (68/100), ST Glass & Window Specialists (68/100).
A step up - brands to learn from: Ed. Züblin AG (71/100), Zone.college (71/100).
Category leader: Accenture (97/100).
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