AI Engine: analyze your texts through the eyes of AI
Searching for something online no longer means just “opening Google” or scrolling through ten links: it’s the need for a clear and useful answer, which is often obtained directly, even without going through a website. More and more people today—especially among Gen Z—are looking for information on TikTok, Instagram, or Pinterest. Those who want quick, personalized answers are increasingly relying on AI tools such as ChatGPT or Gemini, and Google itself has adapted with AI Overview, which summarizes answers directly in SERPs (with all the consequences we have seen in terms of traffic decline). Behavior has changed, not just technology, and this shifts the challenge: it is no longer enough to focus on ranking; you need content that can be selected and used by AI algorithms. That’s why SEOZoom has created AI Engine, a predictive tool that helps you understand whether content really has a chance of being chosen — by Google, ChatGPT, or an AI engine. Even before publishing it, taking into account not only SEO criteria, but also those used by AI systems to decide which sources to use and which not to use. It’s not just an extra feature, but a new way of working: more aware, more targeted, more suited to the way information is found online today — and tomorrow.
What is AI Engine
AI Engine is a predictive tool integrated into SEOZoom’s Editorial Assistant, designed to help you understand whether content has the right characteristics to be selected by AI engines — or by Google, when it generates an AI Overview.
It doesn’t generate text or rewrite paragraphs, but supports decisions: it analyzes what you’re producing in real time to tell you whether it really makes sense to continue or publish. Unlike classic SEO tools, AI Engine isn’t just based on keywords and structure. It works on intent, semantic relevance, informational soundness, and usefulness as perceived by a linguistic model.
It tells you if you are writing something that answers a real question, if you have a chance of reaching the end user, regardless of the channel, or if you are just adding noise to an already saturated topic.
A predictive engine integrated into your writing
AI Engine kicks in at your signal: the system begins to evaluate the content based on a mix of criteria—completeness with respect to intent, depth of information, clarity of presentation, consistency with the tone and purpose you have defined.
The result is not a score, but a series of operational guidelines: it shows you where the content is weak, where something is missing, where you risk not being selected. It doesn’t correct you. It guides and supports you in writing more effectively by analyzing whether a text has characteristics compatible with those of content selected by Google, Gemini, ChatGPT, Perplexity, and other AI systems.
The analysis takes place in real time: you can write, test, rewrite, and see what changes. Every time you edit the content, AI Engine recalculates its behavior relative to the intent. You can also select a specific query and ask the system: “If I searched for this, would my content be used to answer?”
In that case, AI Engine simulates the behavior of an AI engine. It shows you if your text has the right structure, information, and balance to be selected as a useful source. And that’s when you realize if you’re writing something worthwhile.
Why you need a tool like this
Today, it’s not enough to write content that Google likes. It has to be liked by the engine that generates the response. And this engine doesn’t just work on positioning: it filters, selects, and rewrites.
The analysis takes place in real time and without leaving your workflow. You can easily see if structural changes, thematic additions, insights to include, questions to anticipate, or keywords to treat with greater relevance are needed. Everything is contextualized based on intent, buyer persona, and content destination—whether it’s Google, an AI engine, a voice assistant, or a publishing platform.
AI Engine is a tool that helps you avoid writing for the sake of writing. It doesn’t tell you what to publish, but shows you what’s missing to really make an impact. It prevents you from publishing blindly and helps you decide whether a text deserves space, time, and resources. It’s a useful tool before you hit “publish,” not after.
How much traffic do AI engines really generate (and what happens to Google)?
As usual, we have to think “data-driven,” because this is the best and most concrete way to frame the context in which we are operating.
Between February and May 2025, ChatGPT generated 1.15 billion clicks to external sites. This is a huge amount for a conversational system, but still marginal compared to the total. By comparison, Google generated 345 times more traffic in the same period. Gemini — Google’s AI engine — generated around 91 million clicks, while Perplexity ranked around 500 million.
But the impact of AI engines is not measured solely in volume: what changes is the way traffic is distributed. The responses generated do not return a list of links, but a direct summary, which can be influenced by content without citing it.
In many cases, users get the information they are looking for without ever visiting the site — which is why we have also begun to question whether having a website is still necessary! The dynamic has also changed on Google. AI Overview is now active on a growing share of searches and is measurably reducing the click-through rate. According to recent estimates, the average CTR in SERPs with Overview has fallen by 15.49%, with peaks close to 20% in non-branded searches.
Visibility does not disappear, but it no longer drives traffic as it did before. This is especially true for those who are not among the selected sources: if the content is not used in the AI response, it does not appear. And if it does not appear, it does not exist.
How AI Engine works and how it evaluates content
Let’s take a closer look at how this new tool works. As mentioned, it starts by analyzing a piece of text that has already been written, checking in real time whether what you are building has a chance of emerging in AI engines or will remain below the threshold, invisible.
When the system starts up, it extracts the most relevant pages from among the competitors, creates a customized vector database, indexes everything, and simulates the behavior of an AI engine. It’s like building a “personal Google,” focused on that intent, that keyword, and all the questions that users actually ask.
You can explore those questions, see them broken down by form, tone, and depth. But most importantly, you can click on them and ask AI Engine if your content would be chosen. The system responds with a simulated ranking. It shows you who ranks at the top and where your text ranks. If you’re there, with what score. If you’re not, it tells you why.
Inside the engine: how evaluation works
At the heart of AI Engine is a proprietary vector analysis system built to work on the semantic representation of content. Each piece of content is converted into vector embeddings, which are numerical representations that express its meaning, structure, and semantic density. This allows you to directly compare each sentence of your text with the expected answers — not on a keyword basis, but on a conceptual basis, using reference models similar to those used by LLMs.
The evaluation is based on three main factors:
- Relevance to intent: whether your text really answers the selected question, not in a generic way but with clarity and depth.
- Semantic relevance: whether you are using the right topics, in the right places, with consistent and informative language.
- Target adherence: AI Engine also cross-references the buyer personas you have selected and assesses whether the content is suitable for that type of reader. Each question is also mapped by age, role, and objective. And each paragraph can be more or less effective depending on who you want to reach.
If you edit the text—for example, by adding a targeted answer or improving a passage, perhaps using Generative Filling to get accurate text right away—you can relaunch the analysis. AI Engine recalculates everything, and if you’ve done a good job, you’ll see your content rise in the rankings for the same question. It’s a dynamic tool that helps you understand where to intervene and why.
It is designed to simulate the semantic perception of an AI model, so you can correct, enrich, or restructure content before discovering — too late — that it would never have been selected.
In short: it shows you whether what you are writing has a chance of being selected, used, or read. And that’s what matters today.
When to use AI Engine in your daily work
AI Engine is not a tool to be used once in a while. It is designed to integrate into your strategic writing workflow. It is not meant to “check” a text after you have finished it, but to help you make better decisions beforehand, when you can still change everything without wasting time.
Every stage of production can benefit from it: analysis, writing, optimization, updating. And every piece of content can be evaluated for a single question or for the entire intent. The point is simple: either you have a way to verify what works first, or you’re just publishing blindly.
New writing: start with analysis
Got an idea for content? Before you even start writing, you can use AI Engine to explore all the real questions related to that keyword. The system shows you what users are really looking for, what nuances the intent focuses on, and what topics are central to being relevant. From there, you can already make a selection: if the topic is saturated, if the angle is weak, or if the query is dominated by unattainable content, you can avoid wasting time. Or you can identify a useful niche and start writing already knowing what you need to answer.
Optimization before publication
Have you written the text but not published it yet? You can use AI Engine to test it against the main questions and see where it ranks. For each query, the system shows you selected competitors, the level of relevance, and your estimated ranking.
If you’re not in the top positions, you can take immediate action: add an answer, clarify a paragraph, improve an ineffective passage. Each change can be tested in real time to see if it changes your position. It’s practical, targeted work that’s much more useful than generic “SEO tweaks.”
Key content review
If you have important articles that are no longer driving traffic, AI Engine helps you understand what has changed. You can relaunch the query, compare the content with current competitors, and check if you are still answering the right questions.
The system shows you if you are still visible, if you have been overtaken, or if you are simply no longer relevant to AI models. It doesn’t suggest that you “do more,” but shows you where to intervene, with which topics, and to what extent. It’s a useful tool when you need to choose what to update, what to relaunch — and what to abandon.
FAQ — Everything you need to know about AI Engine
Do you understand what AI Engine is and how it can turn things around for you? Be careful, though, because it only becomes really useful when it becomes part of your method: when it helps you decide what to write, when to write it, and whether to improve it.
Writing today is not just about publishing. It’s about capturing attention in a fragmented landscape. And with AI Engine, you increase your chances of achieving visibility (or, if you prefer, reduce the time wasted on efforts that don’t deliver results).
- Does AI Engine write texts?
No, it is not an AI tool for generating content.
It evaluates a text you are writing, or have already written, to see if it has the right characteristics to be selected by an AI engine or by Google in AI Overview mode. It is a strategic guide, not a replacement.
- Is it also useful if I only publish on Google?
Yes, absolutely. Google now integrates AI responses into many SERPs and uses models such as Gemini to build overviews. This means that content is filtered before it is even ranked. AI Engine helps you understand if your text has a real chance of being included in that response, not just ranking.
- Does it also work on already published content?
Yes. You can use it to analyze articles that are already online, especially if they are no longer delivering results. The system shows you if the content is still relevant, if something is missing, or if it can be updated to better answer users’ questions. But its strength remains during writing, when it can really guide you in your choices.
- Does AI Engine really improve results?
Internal data shows that content evaluated and improved with AI Engine is more likely to be included in Google’s AI Overviews or used by generative models as a source of answers. It does not guarantee visibility, but it reduces wasted attempts. And today, that’s already a huge advantage.
