Replai Editorial Methodology - How We Research, Write, and Update Content
Last updated: June 2026
How Replai produces its comparison pages, category guides, and articles. Our research process, our update schedule, and how to flag an error.
Our editorial approach
Replai is a commercial product. We make money when people use it. That is an obvious conflict when we write about AI email tools, because we are one of the tools we write about. We manage it through transparency rather than pretending it is not there.
Our editorial principles:
- Accuracy first. Claims about competitors and their features come from public documentation, pricing pages, and terms of service. We do not fabricate features, invent pricing, or misrepresent how tools work.
- Fair to competitors. When a rival does something better than we do, we say so. We do not leave genuine competitor strengths out of a comparison.
- Open about conflicts. Every comparison page discloses that we make one of the products being compared. Methodology links sit on every comparison and guide.
- No paid placements. No one pays for positive rankings, mentions, or featured spots in anything we publish.
- Plain language. We write for people making a decision, not for search engines. We drop jargon wherever plain words do the same job.
How we write comparison pages
Every comparison page on Replai follows the same process:
Source verification
We start with the competitor's own product page, pricing page, and privacy policy. These are our primary sources for features, pricing, and data handling. We log the date we accessed each one.
Direct product testing where possible
We test tools on free trials or free plans to confirm features work as claimed. Where a feature sits behind a paid plan we cannot access, we say so and lean on documentation and credible published reviews.
Feature matrix construction
We build comparison tables from verified sources only. Where something is uncertain or unavailable, we mark it partial (~) instead of a confident checkmark. We would rather understate certainty than overstate it.
Recommendation writing
Our recommendations point to the better tool for a specific use case, not an overall winner. Different tools suit different workflows, and competitors have real strengths. We say which fits whom.
Review and publication date
Each comparison carries a disclosure with its last review date, shown at the bottom of the page, so you can judge how current the information is likely to be.
How we write guides and articles
Our Learn section holds guides on AI email tools, inbox management, and email writing. The process here differs from comparisons:
Topics from real questions
We write about what people actually ask: Is AI email safe? How do AI email assistants work? What permissions should I grant? We do not manufacture topics to fill a content calendar.
Research and source citation
Factual claims link to primary sources: vendor documentation, published research, or official product pages. Where we draw on general knowledge or inference, we say so rather than dress it up as established fact.
Privacy and security content gets extra scrutiny
With AI email safety, inaccurate information can do real harm. So we take extra care that permissions guidance, data handling, and risk assessments reflect our best current understanding. Think something in our safety content is wrong? Contact us right away using the link below.
Replai promotion is labeled
We link to Replai's free tools and features where relevant. These links are plainly part of our editorial content. We never dress them up as neutral recommendations.
Update schedule
AI email tools move fast. Prices shift, features come and go, privacy policies get rewritten. Our content can fall out of date between reviews.
Comparison pages
Reviewed at least every six months, and sooner when a competitor announces a major feature, pricing, or policy change. The review date sits in the disclosure at the top of each page.
Category guides
Reviewed at least once a year. The AI email category moves fast, so big developments can trigger an earlier pass. Last-reviewed dates appear in article metadata.
Best tools lists
Reviewed every quarter. Tools come and go as the market shifts. We re-verify pricing and feature notes at each review.
Privacy and safety articles
Reviewed every three months, and whenever a major vendor changes its data handling. These hold the highest accuracy bar, and we fix errors promptly the moment we spot them.
Even with this schedule, any article may be out of date by the time you read it. Always check feature availability and pricing on the vendor's own site before you buy.
What we do not do
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Correction policy
We make mistakes. Features change, and our content does not always keep up. We welcome corrections from readers, and from the vendors we write about.
How to report an error
Use the contact page. Include the URL of the page, the exact claim you think is wrong, and, if you can, a link to the source that contradicts it.
What happens after you report
We review every report. If the error checks out, we fix it within 5 business days and note the correction at the bottom of the page. If it turns out not to be an error, we explain why in our reply.
What we correct and what we do not
We fix factual errors: wrong pricing, misstated features, outdated information. We do not change opinions or recommendations under pressure from vendors or users, only when new facts warrant it.
Corrections are logged
Significant corrections are noted at the bottom of the page, with the date and a short note on what changed. We do not silently rewrite pages to bury past errors.
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