How to Write SEO Blog Posts with AI

Google's position is on the record. In February 2023, Google Search Central published guidance on AI-generated content. It said Google rewards high-quality content however it is produced, and that using automation mainly to manipulate search rankings violates its spam policies. In March 2024, Google introduced a 'scaled content abuse' policy aimed at producing many pages mainly to rank, with little value to readers, whether the pages come from AI, people or a mix. Google's quality framework is often summarized as E-E-A-T: Experience, Expertise, Authoritativeness and Trustworthiness. The first 'E', Experience, was added to Google's Search Quality Rater Guidelines in December 2022. Human raters use these guidelines to evaluate search results. Their ratings do not directly rank individual pages, but they show what Google's systems are designed to reward. This leads to a practical workflow: 1. Choose a keyword and study the current top results to understand search intent. Is the searcher looking for a how-to, a comparison or a definition? 2. Have AI propose an outline that covers the subtopics and questions searchers expect. 3. Add what only you can add: original photos, test results, your own data, customer questions, and mistakes you have made. 4. Draft section by section, then edit for accuracy and clarity. 5. Fact-check every statistic, quote, product detail and citation. Language models can invent sources that look plausible. 6. Finish the on-page basics: a clear title tag, a meta description, logical headings, internal links and descriptive image alt text. Three misconceptions are common. Google does not automatically penalize AI-assisted text. AI-detection tools are not reliable enough to settle whether content is acceptable. And repeating a keyword more often, sometimes called keyword density, is far less useful than covering the topic well.