How to write a good SEO text with AI
An effective AI-assisted workflow consists of four steps where AI handles data collection, structure and first draft, while a subject matter expert ensures accuracy, perspective and tone.
Clarify search intent
Map whether the user is seeking information, comparing solutions or ready to convert. Intent drives angle, depth and format.
Prompt with context
Add brand guidelines, documented facts, cases and source material to the model. The quality of the input determines the quality of the output.
Edit with expertise
A professional adds first-hand experience, concrete examples and professional judgment. This step separates ranking content from generic content.
Structure for citability
Start paragraphs with direct answers, use precise headings and semantic markup. This increases the likelihood of citation in AI answers.
How can you tell if a text is written by AI?
Large language models are trained to produce plausible, well-formed sentences. This results in output that is often grammatically correct, but at the same time generic and lacking in crisp attitudes. Typical markers are repetitive sentence structures, abstract introductions like “In the ever-changing digital landscape...”, Filler words without function and a surface of professionalism without real depth.
Technical detection of AI content is unreliable and Google has confirmed that they do not use AI detectors as a ranking signal. Instead, editorial quality is assessed based on whether the text adds real expertise, original opinions and verifiable facts. These are characteristics that rarely appear in unedited AI output.
When should AI not be used for SEO texts?
AI is less suited to content where personal experience, professional judgment or confidential insight is at the core of the value. This includes expert commentary on current industry conditions, case descriptions with unique customer data, and strategic advice based on specific business knowledge.
In these cases, AI can still contribute to research, structuring and language polishing, but the content itself should be created by a professional with real access to the subject matter. The same applies to tasks involving confidential data, where the risk of accidental disclosure argues against the use of external language models without special infrastructure.
Programmatic SEO: mass production of pages (beware)
Programmatic SEO is the technique of generating hundreds or thousands of landing pages automatically from data sets, for example “best [product] in [all cities]”. The discipline can be used legitimately by the largest data platforms where there is real, unique information behind each page, but is often abused to create thin, generic pages at scale.
Google is increasingly framing this practice as scaled content abuse, AI models rarely cite programmatic sites because they lack semantic depth and credibility signals. For most businesses, it's a risky shortcut that rarely pays off in the long run.
In practice, many of the concepts related to AI-driven content production overlap and the terminology is still evolving. The key is not to separate the disciplines, but to understand that serious AI visibility is always built on the same basic substance: content structured with precision, credible signals and real authority in the market. Shortcuts like programmatic SEO promise quick results, but undermine the very signals needed to be selected by both Google and AI models.
How to document EEAT in AI assisted content
Google has made it clear that EEAT is crucial in assessing content quality. This is especially true for topics in finance, health, law and other areas with high influence on reader decisions. The same signals are weighted by the major language models when selecting sources for AI answers.
Specifically, EEAT is documented through named authors with relevant background, references to primary sources, case examples with measurable results, transparent methodology and updated publication dates. These elements should be in place whether the text is written with or without AI assistance.
Get your AI and SEO setup assessed
We'll review your current content, identify where AI can boost production without compromising quality, and map your visibility in both Google and the major AI models.
