Working with large lists of domains means one thing: manual review does not scale.
We help SEO teams, outreach agencies, and digital PR specialists turn raw domain lists into structured data – automatically.
Our system analyzes real website content and assigns:
- website type
- primary niche
This allows you to filter, prioritize, and target the right websites before outreach even starts.
What this is
- a content-driven classification system
- a pre-filtering layer for outreach, SEO, PR, and sales
- infrastructure for working with large domain datasets
Typical use cases: link building, digital PR, SEO prospecting, lead generation.Why This Exists
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.
Pricing
Site Classification – Starter
Site Classification – Growth
FAQ
The system is designed to be consistent and scalable rather than perfect in every edge case. Some websites may appear ambiguous or span multiple niches, but overall accuracy is significantly higher and more reliable than manual review when working with large datasets. Accuracy improves as the model evolves.
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. Common use cases include SEO prospecting, digital PR, B2B sales, lead enrichment, and internal data segmentation.
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.
