Real reviews from real people
IRecommend (irecommend.ru) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among E-commerce brands, Media & Entertainment brands, Other brands, in the 36th percentile of 21929 E-commerce brands.
IRecommend (irecommend.ru) is a community-driven review platform that publishes honest, detailed user reviews on products, services, and experiences. It aims to help people make informed purchasing and lifestyle decisions by offering a large database of authentic, peer-generated opinions rather than advertising-based content. The platform serves both readers seeking guidance and users wishing to share their own experiences, spanning numerous product and service categories.
| Brand Name | IRecommend |
|---|---|
| Domain | irecommend.ru |
| Industry | E-commerce, Media & Entertainment |
| Main Competitors | Otzovik (74/100), Trustpilot (90/100), Yelp (76/100), Flamp, Yandex Market Reviews |
Moz Domain Authority 70/100 vs category average 42 / 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 "To help people make informed choices by providing honest, detailed user reviews on products, services, and experiences." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is RU-only, limiting citation in English-language AI answers.
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 IRecommend?", Claude could identify the brand as of October 2026. IRecommend.ru is a Russian consumer review platform where users write and read reviews about products, services, and brands across many categories, similar in concept to Yelp or Epinions but focused on the Russian market. Best known for being a popular Russian-language site for user-generated product and service reviews.
When asked "Best brands similar to IRecommend?", Claude would recommend IRecommend as of October 2026. It's a well-known Russian review site, so it would come up naturally if someone asked about platforms for consumer reviews in Russia.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
IRecommend's main competitors in E-commerce: Otzovik (74/100), Trustpilot (90/100), Yelp (76/100).
Sources: Brand Analyzer scan
IRecommend has low AI-search visibility, scoring 22/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 37, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: IRecommend official site
IRecommend scores 42/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest E-commerce options. Recommendation depends on crawlability, structured data, and category authority.
Sources: IRecommend official site
IRecommend offers user-written reviews covering countless product and service categories, allowing consumers to read about others' experiences and to post their own reviews and opinions on items they have purchased or used.
Sources: IRecommend official site
IRecommend is a community-driven review platform at irecommend.ru where users write and read honest, detailed reviews about products, services, and experiences to help others make informed decisions.
Sources: IRecommend official site
IRecommend collects and publishes user-generated reviews across a wide range of product and service categories. It allows consumers to share their personal experiences and opinions, and allows other users to browse these reviews before making purchasing or lifestyle decisions.
Sources: IRecommend official site
IRecommend 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: IRecommend official site
IRecommend is used by everyday consumers who want honest, peer-based reviews before buying products or choosing services, as well as by users who wish to share their own experiences and opinions with others.
Sources: IRecommend official site
IRecommend is known for hosting a large, community-driven database of authentic, in-depth consumer reviews covering a wide variety of products and services, positioning itself as an alternative to advertising-driven information sources.
Sources: IRecommend official site
IRecommend scores 22/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
IRecommend has a weak AI-visibility profile at 22/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (42/100) and its weakest is visibility (0/100). It benefits from a Moz Domain Authority of 70/100 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, no strong Wikidata entry and thin schema.org structured data. In a live check, Claude could already identify IRecommend 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 IRecommend: Ionia (74/100), Inzer Advance Designs (74/100), i-Run (74/100), Italtile (74/100).
A step up - brands to learn from: ZuPreem (81/100), Zulay Kitchen (81/100).
Category leader: DHL (97/100).
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