Word.now Editorial Methodology - How We Research, Write, and Update Content
Last updated: June 2026
This page explains how Word.now produces its comparison pages, category guides, and articles. It covers our research process, our update schedule, and how to report an error.
Our editorial approach
Word.now is a commercial product. We make money when people use it. This creates an obvious conflict when we write about AI email tools, because we are one of the tools we write about. We try to manage that conflict through transparency rather than pretending it does not exist.
Our editorial principles are:
- Accuracy first. Factual claims about competitors and their features are based on publicly available documentation, pricing pages, and terms of service. We do not fabricate features, invent pricing, or misrepresent how tools work.
- Fair treatment of competitors. When a competitor does something better than we do, we say so. We do not omit genuine competitor strengths from comparisons.
- Transparency about conflicts. Every comparison page includes a disclosure noting that we make one of the products being compared. Methodology links appear on every comparison and guide page.
- No paid placements. We do not accept payment for positive rankings, mentions, or featured positions in any content we produce.
- Plain language. We write for people making purchasing decisions, not for search engines. We avoid jargon where plain language works equally well.
How we write comparison pages
Comparison pages on Word.now follow a consistent process:
Source verification
We start with the competitor's own product page, pricing page, and privacy policy. These are the primary sources for feature claims, pricing, and data handling descriptions. We record the date we accessed each source.
Direct product testing where possible
We test tools with free trials or free plans to verify that claimed features work as described. Where features require a paid plan we cannot access, we note this and rely on documentation and credible published reviews.
Feature matrix construction
We build feature comparison tables from verified sources only. Where information is uncertain or unavailable, we use a partial indicator (~) rather than a confident checkmark. We would rather understate certainty than overstate it.
Recommendation writing
Recommendations in our comparisons aim to identify which tool is better for specific use cases, not to declare an overall winner. We acknowledge that different tools suit different workflows, and that competitors have genuine strengths.
Review and publication date
Each comparison includes a disclosure with the last review date. We add this date at the bottom of each page so readers can judge how current the information is likely to be.
How we write guides and articles
Our Learn section contains guides on topics related to AI email tools, inbox management, and email writing. The process for writing these guides differs from comparisons:
Topic selection based on genuine questions
We write about questions we see people asking: Is AI email safe? How do AI email assistants actually work? What permissions should I grant? We do not manufacture topics to fill a content calendar.
Research and source citation
Factual claims in articles are supported by links to primary sources: vendor documentation, published research, or official product pages. Where we are drawing on general knowledge or inference, we say so rather than presenting it as established fact.
Privacy and security content is reviewed carefully
Articles about AI email safety are an area where inaccurate information can cause real harm. We take extra care with these articles to ensure that permissions guidance, data handling descriptions, and risk assessments reflect our best current understanding. If you believe something in our safety content is wrong, please contact us immediately using the link below.
Word.now promotion is labeled
We link to Word.now's free tools and features in our articles where relevant. These links are clearly part of our editorial content and we do not disguise them as neutral recommendations.
Update schedule
AI email tools change frequently. Pricing changes, features are added or removed, and privacy policies are updated. Our content can become outdated between reviews.
Comparison pages
Reviewed at least every six months. Reviewed sooner if a competitor announces a major feature change, pricing change, or policy update. The review date appears in the disclosure at the top of each comparison page.
Category guides
Reviewed at least annually. The AI email tool category is evolving rapidly, so significant developments may trigger earlier reviews. Last-reviewed dates appear in article metadata.
Best tools lists
Reviewed every quarter. Tools are added or removed based on changes to the market. Pricing and feature notes are verified at each review.
Privacy and safety articles
Reviewed every three months and whenever a major vendor announces changes to their data handling practices. These articles require the highest accuracy standards and are updated promptly when we identify errors.
Despite our review schedule, information in any article may be outdated by the time you read it. Always verify feature availability and pricing at the vendor's current website before making a purchasing decision.
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, including from the vendors we write about.
How to report an error
Use the contact page to report an error. Include the URL of the page with the error, the specific claim you believe is incorrect, and if possible a link to the source you believe contradicts the claim.
What happens after you report
We review every report. If the error is confirmed, we correct the content within 5 business days and note the correction at the bottom of the page. If a reported error turns out not to be an error, we will explain why in our response.
What we correct and what we do not
We correct factual errors: wrong pricing, incorrectly stated features, outdated information. We do not change editorial opinions or recommendations based on pressure from vendors or users, only based on new factual information.
Corrections are logged
Significant corrections are noted at the bottom of the affected page with the date of correction and a brief description of what changed. We do not silently rewrite pages to hide past errors.
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