사기 판별, 검증으로 완성하다
Neighborhoodfruit (neighborhoodfruit.com) scores 59 out of 100 on Brand Analyzer, placing it in the Developing tier among Other brands, in the 11th percentile of 34432 Other brands.
Neighborhoodfruit, operating under the Korean label '먹튀검증 안전본부', is a verification platform focused on identifying fraudulent or unsafe online betting and 'toto' sites. It compiles real-world fraud case data-such as domain creation dates, operational history, and withdrawal delay patterns-into checklists that let users independently judge site safety. The platform positions itself against flashy promotions or high payout offers, instead emphasizing objective, verifiable criteria. Its target audience is online betting and toto site users seeking to avoid scams and choose safer platforms.
| Brand Name | Neighborhoodfruit |
|---|---|
| Domain | neighborhoodfruit.com |
| Industry | Other |
| Main Competitors | ScamAdviser (88/100), Trustpilot (90/100), Better Business Bureau (92/100) |
Moz Domain Authority 38/100 vs category average 37 / leader 94 - 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 "먹튀검증 안전사이트는 화려한 이벤트나 높은 배당이 아니라, 사기 위험을 걸러내는 검증 절차로 판단해야 합니다. 안전본부는 실제 피해 사례를 모아 먹튀검증의 핵심 신호를 정리하고, 누구나 따라 할 수 있는 체크리스트로 위험한 사이트를 미리 걸러내도록 돕습니다." (Meta description: 34 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 7 JSON-LD block(s), Organization schema, FAQ schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical.
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 KO-only, limiting citation in English-language AI answers.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on Facebook, Instagram; no detected presence on X (Twitter), LinkedIn, YouTube, 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 October 2026.
When asked "What is Neighborhoodfruit?", Claude could identify the brand as of October 2026. Neighborhood Fruit was a community website and map that let people locate fruit trees in their area, such as backyard citrus or public fig trees, so neighbors could share or harvest surplus fruit instead of letting it go to waste. Best known for its crowdsourced map of urban fruit trees for sharing and foraging.
When asked "Best brands similar to Neighborhoodfruit?", Claude would recommend Neighborhoodfruit as of October 2026. It's one of the earlier and more recognizable urban fruit-sharing map projects, often mentioned alongside similar efforts like Falling Fruit.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Neighborhoodfruit's main competitors in Other: ScamAdviser (88/100), Trustpilot (90/100), Better Business Bureau (92/100).
Sources: Brand Analyzer scan
Neighborhoodfruit has limited AI-search visibility, scoring 28/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 40, recommendation 65). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Neighborhoodfruit official site
Neighborhoodfruit scores 65/100 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.
Sources: Neighborhoodfruit official site
Neighborhoodfruit 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: Neighborhoodfruit official site
Neighborhoodfruit scores 28/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Neighborhoodfruit has a weak AI-visibility profile at 28/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (65/100) and its weakest is visibility (0/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 38/100. In a live check, Claude could already identify Neighborhoodfruit from memory (October 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 Neighborhoodfruit: NehruPlaceOnline.com (59/100), Nippon Cargo Airlines (59/100), Newburyport Whale Watch (59/100), Nightingale Elder Care (59/100).
A step up - brands to learn from: Ed. Züblin AG (71/100), Zone.college (71/100).
Category leader: Accenture (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.