# How We Analyze AI Tools — 6-Step Research Process By [Navneet Arya](https://ainexustools.online/about/) · Updated August 24, 2026 Every AI tool reviewed on AI Nexus goes through a consistent 6-step research process. Here's exactly what that looks like. - **Official Documentation Review** — We read every word of the tool's official docs, changelog, and API reference before writing a single sentence. This means reading the actual feature documentation, not the homepage or pricing page — checking what features exist at each tier, what the API limits are, and what changed in recent versions. - **Free Plan Verification** — Every tool's free tier is tested against what it advertises. Limitations, watermarks, export restrictions, and rate limits are all documented, since many tools advertise "free forever" but hide critical limitations. - **Review Aggregation (200+ Reviews)** — We read verified user reviews from [Trustpilot](https://www.trustpilot.com), [G2](https://www.g2.com), [Capterra](https://www.capterra.com), and Reddit — 200+ per tool — to find recurring complaints and praise patterns rather than relying on a star average. - **Reddit Sentiment Analysis** — Real conversations on [Reddit](https://www.reddit.com) (r/artificial, r/ChatGPT, r/MachineLearning, and tool-specific subreddits) reveal pain points, workarounds, and deal-breakers that polished review sites miss. - **Live Pricing Verification** — All pricing is verified against the live pricing page on the day of publication, screenshotted with a date. INR pricing is verified separately for Indian audience articles. - **Competitor Benchmarking** — Every tool is compared against 2–4 direct competitors using the same criteria: features, pricing, limitations, and target use case. [About](https://ainexustools.online/about/) [Contact](https://ainexustools.online/contact/) [Privacy Policy](https://ainexustools.online/privacy/) [Terms of Service](https://ainexustools.online/terms/) [Affiliate Disclosure](https://ainexustools.online/disclosure/)