How to Create Better Drafts With the AI Text Generator
This practical guide explains how to plan prompts, generate useful drafts, and edit the AI Text Generator output into accurate, original content.
What Is an AI Text Generator?
An AI text generator creates written content — blog posts, landing page copy, product descriptions, or any other text format — using a large language model. You provide a topic, keyword, tone, and approximate length, and the tool drafts the content for you. The output is a starting point, not a finished piece: it's designed to be edited, fact-checked, and personalised before you publish.
This tool uses Claude (Anthropic's AI) via your own API key, which means the content goes directly from Anthropic's servers to your browser — it's never stored on our servers or shared. You get the full quality of Claude without any subscription to another platform.
How to Get the Best Results
The quality of AI-generated text depends almost entirely on the quality of your input. A vague prompt like "write about SEO" produces generic content. A specific prompt like "write a 1,200-word how-to guide explaining keyword clustering for small business owners who have basic SEO knowledge but have never used a rank tracker" produces something you can actually use.
Always include: the primary keyword you're targeting, the target audience and their knowledge level, the tone (informational, conversational, authoritative), and any specific points the article must cover. After generating, add first-person experience, check every factual claim, and insert your own examples. Google's helpful content system can identify content that lacks real-world experience — so treat the AI output as a draft, not a final product.
AI Content and SEO: What Actually Works in 2026
AI-generated content can rank well — but only when it demonstrates real expertise and provides genuinely useful information that isn't just a rephrasing of what's already ranking. Google's quality raters assess pages for Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T). AI output scores low on "Experience" by default because it has no first-hand experience of anything.
The sites winning with AI-assisted content treat it as a research and drafting accelerator, not a publishing machine. They use AI to structure and draft, then add proprietary data, real examples, author credentials, and specific recommendations that only come from actually doing the work. That combination — AI speed plus human expertise — is what Google's algorithm consistently rewards.