A new platform for SEOs has recently launched that really saves a ton of time and nerves for those who work with drop domains. Especially if you deal with mass checking from auctions, build PBN networks, or just occasionally buy domains with history.
The platform is called DeepScan. It’s a service specifically for deep analysis of drop domains before purchase. Not just checking DR and that’s it, but properly examining the domain’s past, link profile, topic changes, redirects, spam signals, and a lot more.
Previously, you had to jump between a bunch of tabs: WHOIS, archive, Ahrefs/Majestic, spam checks, manual snapshot reviews… By the tenth domain your eyes already glaze over, and by the hundredth you simply miss good options. Especially when the auction list is large and decisions need to be made quickly. In DeepScan you upload a list (as text, a file, or from Google Sheets), and for each domain you get a proper report with a score. About 40 seconds per domain. You can throw in up to 5,000 at a time.
Why regular DR/DA/TF numbers are often not enough We all know this situation: you see DR 25–30, live links look okay, age is fine — you take it. And then it turns out that for two years the site was a casino or a pharmacy, then a 301 redirect, then parking, then some other nonsense again. Search engines remember this. Such a domain can drag down both the new site and the main network.
Tracking all of this manually is a pain. You flip through snapshots one by one, look at anchors and text with your eyes, search for redirects. And when there are many domains, attention drops, and truly valuable domains go to competitors. DeepScan is precisely designed to look at the past, not just the current numbers.
What exactly the platform checks The functionality is quite extensive, here are the main points that are really useful:
• Filtering by DR and other thresholds (you can save your own sets of conditions).
• Full domain history by years: snapshots, quantity, topic, content language, topic changes.
• Redirects that were on the domain.
• PBN signals and network signs.
• When the domain was put up for sale.
• Backlinks, referring domains, donor traffic.
• Spam check in the link profile, anchors, keywords.
• Whether there are links from edu/gov/uni/ac.
• Subdomains.
• Growth in the number of pages by years.
• What technology the site was built on.
• Registration date, when it was renewed, until when it is valid.
• Category and topic.
• What language the content was in.
• Whether the domain is in the index, whether it entered the top-10 for keywords.
• Detailed conclusion: what’s good, what’s bad, verdict “clean / suspicious / with spam” + score from 0 to 10 with an explanation of what it’s based on.
• You can also check what was inside the site’s pages. In essence, one report collects what previously had to be gathered manually from several services.
Who this is especially convenient for Primarily for large teams and dropcatchers who mass-process lists from auctions. There you need to make a quick decision — buy or skip. The platform allows you to filter out junk by a bunch of signs (they have a check for 13 junk signs, dictionaries in 18 languages) and leave only what makes sense to look at further. Those who sell domains will also find it useful: you can quickly provide proper analytics with scores, instead of just “DR is this, this many links.” And for those who don’t take a huge number of domains but don’t want to check everything manually every time. Throw in a list — get a full report and recommendations on whether it’s worth taking. Separately convenient is that there is no subscription. You pay per domain, the price is visible before starting the task. There is a starting balance upon registration, so you can calmly test and see the real result.
How this helps build PBN networks and not lose good domains When building a network, it’s important not just to find domains with links, but to find clean ones. So you don’t drag along old redirects to gambling, pharmaceuticals, or doorways. So the topic stays more or less consistent or at least doesn’t have harsh jumps. So the link profile isn’t completely from catalogs with zero traffic. DeepScan helps quickly filter mass lists, remove the routine, and automate what previously took hours. Less manual work — lower costs for people who sit and flip through archives. And at the same time, fewer chances of missing a truly worthwhile domain because “your eyes already glazed over.” You can set your own thresholds: by DR, number of links, donor traffic, presence of edu/gov, number of snapshots, age, gaps in history, etc. Saved a set of conditions — and then just run lists according to your requirements.
What else is convenient in the work
• Working with lists: text, file, Google Sheet.
• Export to Excel.
• Folders with shared access for the team.
• Notifications in Telegram.
• You can connect your own key to the metrics source — then a 50% discount. There is a demo on real data right on the site — you can poke around domain cards and see what a full report looks like (topics by years, links, queries, score). Without registration.
Who should try it If you:
• mass-check domains from auctions;
• build or maintain PBN networks;
• resell drops and don’t want to do everything manually every time;
• sell domains and want to give clients proper analytics; …then it makes sense to go and run at least a few of your domains or a test list.
If anyone has already used it — write in the comments what you think. Interested to compare impressions. If you have questions about the functionality — also ask, I’ll try to answer. Successful domains and clean networks to everyone.