Live website intelligence
Книжный интернет-магазин Эксмо | Купить книги онлайн с доставкой на официальном сайте издательства
Продажа книг от издательства Эксмо, лидера книжного рынка России. Большое количество книг в наличии, новинки и бестселлеры с доставкой по Москве и всей России. Рецензии и отзывы читателей, новости литературы.
Last refresh
Updated 10d ago
Analyst read
Professional
Detected stack
Quick read
eksmo.ru looks like shopping. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 5/100.
What to do next
28/56 fields populated (50%)
Providers with missing fields
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 4/4
All expected fields present
ads: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
publisher: 3/5
Missing: directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 0/10
Missing: monthlyVisits, globalRank, countryRank, bounceRate, avgVisitDuration, pagesPerVisit, topCountry, topRegions, topKeywords, trafficSources
whois: 0/6
Missing: whois.registrar, whois.createdAt, whois.expiresAt, whois.nameservers, whois.status, domainAgeYears
radar: 0/4
Missing: globalRank, rankBucket, categories, sourceTimestamp
ai: 7/7
All expected fields present
Keep exploring
Good pSEO pages should not strand the visitor. These links keep the journey moving through adjacent directories and comparable live reports.
Why this module matters
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
Eksmo is one of Russia's largest publishing houses operating an online bookstore. They sell physical books with delivery across Russia, featuring new releases, bestsellers, and running author events. The business combines traditional publishing with direct-to-consumer e-commerce sales.
Monetization Signals
E-commerce (Vertical - Books/Publishing) model detected
Low trust with 5/100 score
Russian-speaking readers, book enthusiasts, fans of fiction and non-fiction literature, ages 18+ (mature content visible), primarily domestic Russian market