We've been doing SEO and content strategy since before AI could write a paragraph.
AIWritingStack started because we kept seeing the same problem: marketers and content teams were spending thousands on AI writing tools that didn't fit their workflow — or worse, tools that produced content Google would never rank.
We're a small team of SEO professionals, content strategists, and workflow nerds with a combined 15+ years building content operations for agencies, SaaS companies, and publishers. We've managed editorial calendars producing 200+ articles per month. We've built the SOPs, trained the writers, and debugged the workflows that turn keyword research into published, ranking content.
When AI writing tools started gaining traction in 2022, we were early adopters — and early skeptics. We've collectively spent over $12,000 on subscriptions across every major AI writing platform, testing them not with generic prompts but inside real content workflows with real deadlines and real clients expecting results.
What We Bring
SEO & Organic Growth
10+ years in technical SEO, keyword research, and content operations. We've built and scaled content programs for SaaS startups and agencies.
Content Strategy
Experience managing editorial workflows producing 200+ articles per month across multiple verticals. We test long-form output quality, brand voice training, and team collaboration features.
AI & Workflow Automation
We test prompt engineering strategies, API integrations, and automation capabilities across platforms. Our focus is on what actually works inside real content pipelines, not what demos well.
Our Testing Process
Every tool we review goes through a structured 3-week evaluation. This isn't a quick sign-up-and-screenshot operation. Here's exactly what we do:
Week 1 — Baseline testing. We generate 10 blog post drafts across three niches (B2B SaaS, health/wellness, and e-commerce) using each tool's default settings. We measure readability scores, factual accuracy (manually fact-checked), editing time to bring each draft to publishing standard, and initial Surfer SEO content scores.
Week 2 — Workflow integration. We test each tool inside a realistic content workflow: keyword research → brief → draft → optimization → editing → publish. We track how well the tool integrates with existing SEO tools, how team collaboration features work with multiple editors, and how brand voice settings hold up across 20+ pieces of content.
Week 3 — Edge cases and support. We stress-test with difficult content types: technical explainers, opinion pieces, product comparisons, and multilingual content. We also contact customer support with real questions and evaluate response quality, not just response time.
After testing, we compile performance data into a scoring matrix. Our ratings reflect weighted criteria: output quality (30%), ease of use (20%), pricing value (20%), SEO capabilities (15%), and support and community (15%). Every score is backed by documented testing, and we update reviews when tools ship major updates.
How We Make Money
We earn affiliate commissions when you sign up for a tool through our links. This is how we fund the $12,000+ in annual subscriptions and the time we spend testing.
Here's what that means in practice: every tool on this site has an affiliate link. We're transparent about that. But our editorial process is separated from our business relationships. We've given 3.9-star reviews to tools that pay us well, and we've given 4.7-star reviews to tools that pay us less. Our rankings are based on test results, not commission rates.
If a tool is mediocre, we say so — even if they're a paying partner. The fastest way to lose reader trust is to recommend something that wastes people's money, and reader trust is the only asset a review site has.
Get in Touch
Found an error? Have a tool suggestion? Want to tell us we're wrong about something? We want to hear it.
Email us at [email protected] or use our contact form.