Editorial Policy
Last updated: April 2026
Our Mission
Recruiting Tech Reviews exists to help talent acquisition leaders make better software decisions. We publish independent buyer guides, platform reviews, and comparison articles covering AI recruiting tools — with a focus on enterprise and mid-market teams.
We are a category authority site, not a vendor marketing platform. Our content is editorial in nature and governed by the standards described below.
How We Select Platforms to Cover
We cover a platform when it meets one or more of the following criteria:
- It is actively used by enterprise or mid-market recruiting teams
- It has appeared in buyer shortlists or RFPs reviewed by our research team
- It represents a meaningful category shift — a new approach to a solved problem
- It has been requested by readers or TA leaders in our network
We do not cover platforms solely because they advertise with us or request coverage.
Methodology Documentation
For a complete explanation of our evaluation process, scoring rubric, integration depth criteria, update cadence, and how editorial picks are determined, see our Methodology page. The sections below summarize the key policies that govern our content.
How We Score and Evaluate
Our evaluations are based on a 100-point rubric covering: integration depth, scoring transparency, candidate experience, compliance readiness, and implementation quality. Where possible, we supplement our analysis with:
- Publicly available product documentation and demo recordings
- Conversations with practitioners who have deployed the platform
- Published G2, Capterra, and LinkedIn reviews from verified users
- Direct vendor engagement for factual accuracy review
We do not accept paid placements in return for positive scores. Vendors may submit corrections to factual errors — but editorial conclusions are made independently.
Commercial Relationships and Conflicts of Interest
Recruiting Tech Reviews generates revenue through consultation referrals and may have commercial relationships with platforms we cover. This does not influence our editorial conclusions — but readers should be aware of it.
Where a platform has a direct commercial relationship with us, we will note it in the relevant article. Our editorial positions are determined by the research team independently of commercial arrangements.
Authorship and Attribution
Content published on Recruiting Tech Reviews is produced by our editorial team — a group of practitioners with backgrounds in talent acquisition, HR technology, and recruiting operations. Individual bylines are attributed where the author has approved public attribution.
Where articles carry an institutional byline — such as "Recruiting Tech Reviews Research Team" or "Editorial Team" — the content has been reviewed by at least one subject-matter expert before publication.
Accuracy and Corrections
We are committed to factual accuracy. If you believe a material factual error exists in any article, please contact us at editorial@recruitingtechreviews.com. We will review the claim and issue a correction if warranted. Corrections are noted inline with the article's updated date.
Content Updates
The AI recruiting software category moves quickly. We review our buyer guides and platform reviews on a rolling basis and update them when material changes occur — including pricing shifts, product pivots, acquisitions, or significant user feedback. The "Updated" date on each article reflects the most recent substantive edit.
Contact
Editorial questions, correction requests, and vendor factual-review requests can be sent to editorial@recruitingtechreviews.com.