Cut 80% of Irrelevant Websites Before Outreach
Automatically classify domains by site type and niche , so you only reach real content sites that actually accept backlinks.
- Remove company and e-commerce sites instantly
- Focus only on content-driven blogs
- Identify niche relevance at scale
Most Outreach Lists Are Useless
Ahrefs exports are full of:
- company websites
- SaaS landing pages
- e-commerce stores
- directories and junk
You waste hours filtering – or worse, outreach fails.
Turn Raw Domain Lists Into Outreach-Ready Data
We analyze each domain using content signals (not just DR or traffic) and classify:
- Site Type → Content / Company / E-commerce
- Niche → clear topical category
- Confidence → how reliable the classification is
- Website Engine
Instantly see which sites are worth outreach
Optional: Turn This Into a Leadgen Machine
Use classification to:
- find e-commerce/companies in specific niches
- build outreach lists for clients
- generate targeted prospect databases
Built for Real Outreach Workflows
This system was built from real link building campaigns where:
- lists exceed thousands of domains
- manual review becomes impossible
- mistakes cost time and money
Instead of relying on DR or guesswork, we analyze actual content – making classification consistent and scalable.
This classification system was built to solve a practical problem we repeatedly encountered in real outreach and SEO workflows: once domain lists grow beyond a few hundred entries, manual review becomes inconsistent, slow, and increasingly subjective, leading to wasted effort and declining results. Instead of relying on surface-level indicators or human judgment applied inconsistently across large datasets, the system applies the same content-based logic to every website, producing structured and repeatable output that teams can trust when making targeting decisions. It is designed to work with imperfect, real-world data including mixed-quality lists, overlapping topics, and websites with unclear positioning and to handle those cases conservatively by filtering or leaving sites unclassified rather than forcing inaccurate labels.
While no automated classification can be perfectly precise in every edge case, this approach prioritizes scalability, consistency, and contextual relevance, making it significantly more effective than manual review for teams that need to operate at volume.
In practice, it functions as an infrastructure layer that sits upstream of outreach, SEO, PR, or sales workflows, reducing noise, improving relevance, and allowing teams to focus their time and budget on opportunities that are more likely to produce meaningful results.
Simple Pricing
Site Classification – Starter
Site Classification – Growth
Why This Saves You Time
Manual filtering:
- 1,000 domains = hours of work
- inconsistent results
- easy to miss good opportunities
With SiteTypes.com:
- remove irrelevant sites instantly
- focus only on content-driven websites
- make faster outreach decisions
FAQ
High accuracy for site type (~85-90%). Niche depends on content clarity.
Websites with insufficient or unclear content are marked as Not classified rather than being forced into an inaccurate category. This helps avoid false relevance in outreach and targeting.
No. Classification is based on website content and contextual signals. Metrics such as Ahrefs DR and organic traffic can be added as optional enrichment, but they do not influence the classification itself.
The classification itself is automated and applied consistently across all domains. Filtering and basic quality checks ensure the final output is usable in real workflows.
Most orders are delivered within 24–48 hours, depending on list size and website accessibility.
The results are delivered as a structured CSV file or Google Sheet, ready to be used directly in outreach, SEO, PR, or sales workflows.
Yes – lead generation, prospecting, niche research.
No. You can provide raw domain lists. Low-quality, empty, or inaccessible websites are filtered automatically.
Yes. Custom volumes beyond the standard packages are supported. Please contact us to discuss scale and requirements
It can be used as a one-time classification or as part of an ongoing workflow, depending on how frequently you work with new domain lists.
For large datasets, it significantly reduces the need for manual review. Some teams still manually review a small subset of final candidates, but the heavy lifting is automated.
