Want to get into AI? Here’s what you really need to do
Open Google, do a search, and you’ll come across an AI Overview that occupies the top of the SERP. Use ChatGPT and you’ll find competitors mentioned. Switch to Gemini and you’ll notice that certain sources keep popping up. It’s clear: part of today’s visibility is at stake there. And your brand doesn’t show up.
“I want to be inside the AI” becomes a legitimate goal, but getting into the answers isn’t a single technical action: it’s the result of various mechanisms operating at different levels, and of a working method that’s built over time. That’s why it’s not enough to make generic changes to your content. You need to understand what the AI has already stored about your brand, where you’re selected in real time, which conversations trigger the retrieval of sources, and in which aspects the AI portrays you better or worse than your competitors. Only by working on these fronts in a coordinated manner—and monitoring them over time—can you build a stable presence in generative responses.
And that’s exactly the kind of control SEOZoom provides with its SEO for AI tools—a system designed to measure, compare, and take action where needed, and to transform a general goal into an actionable roadmap.
Where AI Decides Whether You Exist or Not
Online search has undergone a transformation and today thrives on answers, not just links. Artificial intelligence has helped eliminate exploratory browsing because today’s users are “accustomed” to receiving a ready-made answer and accept it as the definitive truth. We’re all learning to prefer the speed of an AI that summarizes, selects, and recommends.
If a brand doesn’t appear in the summaries provided by generative search engines, the business disappears from the customer’s radar at the very moment the decision is made.
So “being inside the AI” becomes the way to protect your visibility from changing search habits, safeguard your authority, stay connected with your audience, and influence purchasing decisions.
Your brand must appear in these summaries, and you must make every piece of information understandable to machines if you want to continue growing. This complex system (which we’ve called SEO for AI) is a challenge of algorithmic traceability, and SEOZoom is here to support you. It allows you to look inside the answer engines and provides you with the data to measure your presence in LLM indexes, ensuring you have control over this new search architecture.
How a Generative Response Works
Be careful, though: the desire to appear in generative responses is vague if you don’t understand how the process works before the response is displayed,
The first level concerns the deep structure of the model, which is built during the training phase. At this stage, which we call GEO, the AI creates associations between entities, expertise, and contexts. If your domain is coherently linked to a specific thematic scope, the model recalls the brand as soon as the topic comes up in a conversation. It’s a matter of weights and connections: if your associations are fragmented, generic, or inconsistent, the brand remains marginal within the algorithm’s semantic network. At this stage, it’s not the most recent article published that matters, but the solidity of the identity that the model has “internalized.”
The second level, which for us is AEO, is activated in systems that use retrieval (RAG) to answer current questions. Here, the AI queries the web, scans available content, and selects the most relevant pieces to incorporate into the response. It is no longer a matter of historical memory, but of immediate technical performance. What matters is the data structure, the coverage of the topic, and the page’s ability to respond to the query with pinpoint accuracy. If the page is unreadable or the content is unfocused, the algorithm moves on to the next source in a fraction of a second.
The third level is the visible one: the explicit citation within an AI Overview, an Answer Engine, or a conversational assistant. At this stage, competition is fierce and limited to very few players. Your brand’s appearance in the priority box depends on the perfect alignment between the identity stored by the model and the relevance of the content retrieved in real time. It is thefinal funnel where the AI decides which sources deserve the user’s click and which must remain in the background of the summary.
The overarching element governing the entire process is the nature of the question. Prompts are not mere queries, but vectors that guide the model toward different associations. A comparative request (“Which is better, X or Y?”), an evaluative question, or an exploratory prompt generates selections of different sources. Understanding which formulations produce relevant citations and which ones lead the model to ignore your business is the only way to control the brand narrative in the generative era.
The Limitation of Visibility Space
Presence in generative responses therefore depends on the model’s memory, real-time retrieval, and source selection—and this leads to another problem: how much visibility is actually at stake?
The field is narrow, selective, and is fragmenting across different environments. Let’s look at the numbers to see this.
Traffic generated directly by conversational assistants is still limited in volume, but its internal composition is changing very rapidly. The most recent data from Similarweb paints a picture of a fragmented market: ChatGPT’s market share dropped from 77% to 54.7% between early 2025 and April 2026, Gemini rose from 6% to 27.4%, Claude nearly tripled its share to about 6%, Perplexity stands at around 1.5% but with year-over-year growth of 370%. There is no longer a single generative engine to focus on: there are four or five, each with different retrieval logic, different preferred sources, and different ways of citing brands.
The center of gravity for search remains Google. Google’s market share in Europe is around 89–90% across all devices, and it is precisely within Google’s SERP that visibility has shrunk most noticeably with the arrival of AI Overview.
Data from the SEOZoom Observatory measures the extent of this phenomenon in the Italian market. Out of over 23 million tracked keywords, AI Overview appears in 76.85% of cases: for most of the monitored searches, the SERP is no longer a list of links; it is a generated summary that precedes the organic results.
It should be noted that this figure refers to the sample of keywords monitored by the Observatory, which by nature includes a set of queries selected for volume and relevance, and does not correspond to the entire universe of Italian searches (international surveys estimate coverage of all Google queries to be between 13% and 25%). The fact remains that, in the arena where companies actually operate—business keywords, high-volume commercial and informational queries—AI Overview is now the norm, not the exception.
What has emerged within Google is a selection. Out of over 171 million domains known to the Observatory’s Italian database, only 1,941,708 appear in AI Overview responses: about 1.1% of the total. This means that 99% of Italian websitesare never used as a source to generate a summary response. Within this 1.1%, the concentration is even more pronounced: social media platforms account for 12% of total AI Overview visibility, with YouTube leading all others in terms of traffic and mentions. In some sectors, the pressure is mounting further—in the healthcare vertical, sector analysis shows that AI Overview appears in 51% of queries, in an environment where the distribution of sources is even more concentrated.
Theimpact on clicks confirms this selection dynamic. A study by Seer Interactive—based on 5.47 million queries across 53 brands and 2.43 billion organic impressions—recorded a 61% drop in organic click-through rates and a 68% drop in paid click-through rates for queries where AI Overview is active. Parallel studies by Ahrefs on 300,000 keywords measured a 34.5% drop in CTR for position 1 when AI Overview is present, and independent findings also point to a decline in organic CTR ranging from 35% to over 60% for queries with AI Overview.
Even where AI Overview does not appear, the user behavior has changed—the habit of receiving a concise answer is spreading throughout the entire search experience.
The stakes are extremely high: brands mentioned in AI Overview see 35% more organic clicks and 91% more paid clicks compared to brands not mentioned. Furthermore, traffic coming from conversational engines converts at much higher rates than traditional organic traffic. Similarweb measures a conversion rate of 7.1% for referrals from ChatGPT compared to 1.8–2.8% for Google’s organic baseline, with even higher peaks for Claude (16.8%) and Perplexity (10.5%). This means that every click coming from AI engines is worth three, four, or even up to eight times as much as a click from traditional SEO.
The point, then, is not that AI is “replacing everything”: it’s that when it comes into play, it drastically reduces the number of visible players, but those who make it into that select group get higher-quality clicks. The space is small, fragmented across multiple environments, and for those who effectively control these territories, the window of opportunity is wide. For everyone else, every exclusion counts more than once.
How to Take Concrete Action: The Roadmap for Entering the AI Space
With such a selective space and a decision-making process that occurs on multiple levels, your actions must also be well-structured and follow aprecise sequence. You don’t start with content; you start with a diagnosis—and if you skip a step, you’re only addressing part of the problem.
The roadmap I propose follows five macro-phases, each with its own objective and featuring the SEO for AI tools from SEOZoom that support that phase. The phases follow one another over time, but once you’ve started the fifth, you’ll periodically return to the first: AI visibility isn’t a static state; it’s an ongoing process.
- Diagnosis: Understanding Where You Stand Today
Before taking action, you need to know where you stand. This is the phase where you look at your brand through the eyes of AI search engines and analyze two distinct levels: the big-picture view of your current presence and the identity that the AI has stored.
The first step is AI Visibility, which gives you a comprehensive map of how your domain is distributed across the new areas of generative search. It shows you where you appear, in which search engines, with which pages, and within which competitive landscape. It’s a bird’s-eye view that immediately reveals where your presence is already stable and where there are gaps. Without this context, any subsequent action risks targeting the wrong area.
Next comes the GEO Audit, which analyzes the model’s memory. It analyzes the semantic identity associated with your domain and verifies whether the expertise, topics, and sentiment that the AI has internalized match your actual positioning. This is where inconsistencies emerge between the brand you claim to be and the brand the model has learned—an AI may have stored outdated information about you, associations with competitors in different market segments, or a narrower thematic scope than the one you actually cover. Without this snapshot, any subsequent action risks reinforcing an already distorted semantic identity. It’s the historical starting point from which all the work begins.
- Check live responses: how the AI describes you right now
Once you understand the stored identity, you need to verify what happens in real time, every time a user asks a question and an AI engine composes a response by drawing from the web. This is the live retrieval phase, where SEO meets SEO for AI at the point where decisions are made about which sources are selected and how.
Here, three tools work together. AEO Audit analyzes the responses generated by the engines, showing how the brand is portrayed, which competitors appear alongside you, and which topics within your scope remain uncovered. This is the verification that links the model’s historical memory to current content, and tells you whether your GEO efforts are producing measurable results or if the AI continues to mention you in ways that don’t reflect your strategy.
Alongside AEO Audit, AI Competitor delves into a structured comparison with actual competitors, prompt by prompt, source by source, aspect by aspect. It doesn’t just tell you that a competitor appears alongside you—it shows you where they outperform you, with what content, and on which levers. Often, the competitors that emerge here don’t match the ones you have in mind—they’re the names the AI considers relevant to explaining your market, and that scope is the true competitive playing field.
The third tool in this phase specifically examines the point where the classic SERP and the summary answer intersect: SEOZoom’s AI Overview checks which keywords you’re mentioned for within Google’s AI Overviews, how often, in what position, and alongside which other sites. This is the most visible level of your generative presence, and it’s also the one that has the most direct impact on clicks—because, as we’ve seen, those mentioned in AI Overviews receive 35% more clicks than those left out. Analyzing the AI Overview content gap makes it clear where other brands are occupying the space you could be claiming.
- Conversations and prompts: where AI responses take shape
You’ve worked on your measured presence. Now the plan changes: you need to understand how the conversations that trigger source selection are structured, and which questions are worth focusing on in the coming months. This is the level of the prompt, not the keyword.
AI Prompt Research breaks down a question into its intent, follow-ups, and related searches that the AI engine initiates to gather information. It helps you design content that truly addresses a need—no longer just a standalone keyword, but the semantic scope that the AI explores when a user asks that question. It’s the tool you use to discover the relevant questions in your market and break them down before creating content.
AI Prompt Tracker brings the prompts you’ve chosen into a system of continuous monitoring. For each prompt, it tells you whether you’re being used as a source, whether you’re mentioned in the text, whether you’re recommended, in what tone, in what competitive role, and whether you’re winning due to your own merits or a competitor’s weakness. It’s the tool that closes the loop between Prompt Research (the questions to monitor) and the long-term impact (the brand presence built around those questions). The distinction is clear: Prompt Research defines the scope; Prompt Tracker measures the results. Used together, they allow you to transform a set of strategic questions into a system for analyzing your generative visibility.
- Action: Create the Content That AI Selects
The previous three steps are diagnostic. Now it’s time to move on to production. The gaps identified become an editorial brief: content to create, pages to strengthen, and signals of authority to consolidate.
The tool for this phase is AI Engine, which predictively assesses whether content is written in a way that makes it selectable by AI engines. It works before publication: start with the text, check whether it’s clear to AI systems, whether it covers the right angles, whether it addresses doubts and needs better than competitors, and whether it’s structured so that the engine can extract the relevant passages. If the assessment flags gaps, rephrase the content before it goes online—and the effect of the change is verifiable in real time.
The action phase, however, doesn’t end with content production alone. AI engines also select sources outside your domain: vertical magazines, communities, video channels, consultant blogs, and review platforms. Part of the work involves monitoring those external sources through targeted digital PR activities, built on data from AEO Audit and AI Competitor—not a blanket approach, but by focusing precisely on the sites that the AI demonstrates it considers authoritative for your market.
- Cyclical monitoring: AI visibility isn’t a static state
The final phase is the most overlooked, and it’s the one that makes the difference in the medium term. AI operates at a different pace than SEO; its responses change from week to week. A competitor publishes content that’s more substantial than yours and snatches a citation from you. A niche magazine gains authority and becomes the source the AI chooses over a cluster of prompts you were monitoring. A new narrative about your industry gains traction in the sources that feed the models, and the sentiment shifts without you even noticing.
Cyclical monitoring means repeating at regular intervals the checks from Phases 2 and 3: the AEO Audit compares the current status with the previous one, AI Prompt Tracker shows the trend of your prompts over time, and AI Visibility updates the big picture. This isn’t a final assessment; it’s an early-warning system—it intercepts signs of decline before they turn into a loss of citations, and signs of growth before they become structural. Without this step, the roadmap amounts to nothing more than a fixed-term project; with this step, it becomes a continuous working method—which is exactly what SEO for AI requires.
The executive summary that closes the cycle within AI Prompt Tracker distills all this information into a document that can be shared outside the dashboard—useful for reporting monitoring results to clients, teams, or stakeholders, and for laying the groundwork for a new strategy review.
“I want to be inside the AI” is not a technical request. It is a strategic stance.
Space is limited, selection is rigorous, and the criteria no longer align solely with traditional SEO.
Those who manage their identity, conversations, and sources—and do so consistently—have room to maneuver. Those who limit themselves to hoping for an occasional mention are left out of a system that is reshaping the distribution of attention—and which, as conversion data shows, rewards those who enter disproportionately while penalizing those who remain on the outside.
