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. When you generate content, your browser sends the request to our PHP endpoint, which forwards it to Anthropic for that one request; Anthropic's response returns through the same endpoint to your browser. Your API key and generated content are not stored on our servers. The key is saved in your browser only if you click "Save key".
How to Get the Best Results
The quality of AI-generated text depends heavily on the choices you make in the tool. Enter a clear blog post title or topic, add the target keyword, then choose one of the available length ranges (about 500, 1,000, or 1,500 words), a writing tone, and an audience level. For example, a focused topic such as "How keyword clustering helps small businesses plan content" with the keyword "keyword clustering," an authoritative tone, and a beginner audience gives the model clearer direction than a vague topic such as "SEO."
The tool does not include a separate field for custom talking points, so add any must-cover details to the title/topic field where practical. 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.