How to do SEO with AI: practical advice
How will SEO change with the proliferation of AI? To this question, many provide various theories, and the trend is towards search engines providing answers before showing a hierarchy of links. For now, we can see early examples, such as Bing integrating an AI assistant and encouraging users to ask questions.
However, it’s uncertain whether search engines are destined to permanently become chatbots that answer questions, potentially eliminating the Search Engine Results Page (SERP) as we know it today, or if there will remain a mixed solution. We’ve already written another article about concerns that AI might kill SEO (spoiler alert: maybe not). In this article, we attempt to go beyond predictions and provide some advice for those looking to do SEO in the age of AI.
1. It’s always what users want
This is one fundamental lesson, one that may seem trivial but is still not fully digested. The idea of finding purely technical “hacks” to circumvent the algorithm’s complex rules and give your content an extra push in the SERP shouldn’t exist in 2023 (almost 2024). This is because we are dealing with artificial intelligence. Algorithms are designed to learn what users want because, in the end, the search engine’s business is to provide results relevant to users’ searches.
The algorithm may have its rules, but if your content doesn’t meet user needs and questions, then neither your website nor the search engine is useful, and both will be replaced. Therefore, content should be written in a way that satisfies the user, not the algorithm. This principle is nothing new; it has been stated countless times before the widespread use of artificial intelligence. Speak to a specific target audience, provide answers to problems and questions, and write naturally and clearly, using tones and vocabulary suitable for the target audience.
This means that even if, for some reason, the SERP were to disappear entirely in favor of interactive chats in a few years, there will still be users who demand more resources than the first response received or who ask for the sources of the information. These AI-enhanced searches will still have a page ranking based on criteria of usefulness and interest to the user. And that’s where SEO comes back into play.
2. Use data from AI to generate relevant content
Let’s not talk (yet) about using generative AI for SEO content (we’ll see that in the next paragraph), but about obtaining relevant data for our positioning strategy. There are many artificial intelligence tools that integrate innovative SEO functions or can simply help extract important data from web pages and websites.
Without going into specifics, for example, ChatGPT (premium version) can analyze web pages for you, providing a report. You can then write a prompt to search for specific keywords in the text, analyze keywords with a specific tool and request related keywords. Furthermore, you can ask for article examples or ideas to structure an article based on the information obtained from a specific page.
In summary, AI does the dirty work for you. While in the past, SEO analysis involved dashboards with tables of data, now you can get practical interpretations and step-by-step reports from the data.
3. If you write with AI, optimize for quality
Content originality, uniqueness of style, accuracy of information, and text completeness are parameters that not everyone can achieve, either by writing 100% directly or by using AI. This means that, in terms of SEO, not much changes: there is currently no artificial intelligence tool that allows those who have never created content to obtain a unique and high-quality article.
Of course, it allows those who have never written to create mediocre content suitable for filling a website better than a placeholder, but at thend it’s always those with experience and knowledge of content writing and SEO that get the best results from AI.
For SEO-oriented content content writers, generative AI should be used to increase quality. The technology is not a shortcut but an improvement in your arsenal for research and data analysis, offering different versions of the same text and enhancing text fluidity and readability.
Additionally, it allows writers to focus on giving originality and character to texts generated by AI, thus having more mental energy to devote creating truly unique content. For example, bullet points, summaries, questions and answers can be handled by AI while you provide the main text.
4. Niche and long tail will become more important
In the section on algorithms, we hypothesized the case where the SERP disappears entirely, leaving us with only AI-driven chatbots. But what happens when the user asks for more? In that case, the chatbot will have to process the response, including resources from websites, right?
It seems obvious that a user asking for more is not seeking quick and generic information but is someone with focused search intentions within a niche. This could be for professional, academic, or deep interest reasons. This means that positioning generic content will become increasingly difficult, if not impossible. Consequently, successful SEO must evolve into specialized SEO for niches.
5. The advent of predictive SEO
Predictive AI can be applied to SEO to provide forecasts on how content can position itself even before being published, offering guidance and tools on how to improve. This is a significant development for SEO. Whatever changes the algorithms may undergo, thanks to AI, it will be easier to understand how to optimize content. Thus, talking about the disappearance of SEO is quite limiting.
There will likely be a radical transformation of SEO, a shift towards “AI SEO,” where AI denotes both the goal (for your content to be recommended by AI and used for the provided answers) and the tools (writing, analytics, predictions).
An All-in-One Solution?
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