SEO, GEO and Artificial Intelligence: opportunities, real risks and strategy

Turn Artificial Intelligence into your best ally, without compromising your brand's quality

AI and GEO (Generative Engine Optimization) are reshaping Search, but they don't replace strategy. Understanding how to use them is what separates a real competitive edge from damage that's hard to undo.

The problem: AI isn't an SEO tool, it's a thinking accelerator. Used poorly, it produces flat content that Google will penalize.
The solution (my method): In 20 years of SEO, I've seen plenty of revolutions. AI is the latest one. I teach you how to govern it with human judgment, integrating it into analysis, clustering, and brainstorming processes.

AI is everywhere right now, in headlines, blogs, books, and search bars. But limiting its use to SEO writing or copywriting is the market's biggest misunderstanding. Google itself accepts its use, as confirmed in its official guidance on AI-generated content, the real value lies elsewhere. AI can't replace a professional's critical analysis, but it can amplify it: from advanced clustering to data modeling, a mature strategy uses the algorithm to do what plain automation never could.

Further reading: AI-generated content: who's responsible when it gets it wrong?

ChatGPT isn't an SEO tool, but SEO tools now run on AI

Using ChatGPT for query analysis as if it were a standard SEO tool is misleading, today more than ever. It can absolutely be integrated into a multi-step analysis workflow, but it isn't a replacement for one.

Want to integrate AI into your processes in a way that actually supports SEO and Digital Marketing, without the guesswork?
Let's set up a call. Write to me at info@mariachiaramarsella.it

Two ways I can help your team

Being findable in classic search results is no longer enough: today you also need to be chosen and cited inside AI Overviews, AI Mode, and AI chatbots like ChatGPT, Gemini, and Perplexity. This means working on entity clarity, source authority, and content structured to be understood, and trusted, by AI systems, not just crawled by them.

Based on your team's specific needs, I build custom training and reusable prompt libraries that speed up and streamline daily work. Think of it as a single repository your team can draw on every time they face a task, big or small — structured as Projects, Gems, or custom GPTs tailored to your workflow and tone of voice.

SEO & AI Training for Online Newsrooms

SEO and AI for Digital Publishing is a course built specifically for online newsrooms, editors, and journalists. It's structured as on-the-job training, not a passive course, but hands-on mentoring built on three pillars:

• Technical SEO fundamentals for Search, News, and Discover
• AI applied to editorial work — not mass content production
• Method: before, during, and after publication

What newsrooms actually learn

• How Google's and users' expectations around news content are shifting
• Analyzing queries, trends, and context before writing
• Using AI as critical support, not a shortcut
• Structuring articles, updates, and micro-content for SEO
• Reading performance data to decide what to update, expand, or relaunch
• Building reusable prompts consistent with your outlet's voice
• Comparing outputs across different chatbots to catch errors and bias
  

Who it's for

• Digital newsrooms
• Publishing groups
• Editors-in-chief and deputy editors
• SEO and digital editorial teams
• Journalists
  

If you feel AI has already entered your newsroom without a shared method, and you'd rather avoid improvised, potentially risky approaches — this is for you.

Want to know if it fits your newsroom?
Every program is tailored to your editorial context, goals, and team skill level, so I'll need a few details to put together a quote. Get in touch with:

• Number of participants and roles involved (journalists, editors, digital/SEO team, etc.)
• Current SEO/digital knowledge level and AI usage
• Type of outlet/editorial project and main newsroom activities
• Tools in use (CMS, Search Console, SEO tools, analytics, AI, etc.)
• Preferred format (online, in-person, hybrid) and timeline

Trust: the new currency of organic visibility

SEO isn't just about keywords, rankings, and technical optimization anymore, in the AI era, it's become the ability to be recognized as a trustworthy source. Recent Google updates make that clear.

On one hand, concrete technical signals: Chrome Lighthouse has introduced Agentic Browsing, a category that measures how ready a site is for AI-agent interaction, semantic HTML, accessibility, and visual stability now matter for AI as much as for human users.

On the other hand, Google is bringing Preferred Sources into AI Overviews and AI Mode, sources users prefer, labeled and highlighted with badges like "Highly Cited." Forums, online discussions, and social platforms are showing up as explicit parts of the narrative inside AI-generated answers.

In short: showing up isn't enough anymore. You need to be chosen.

In this landscape, the traditional idea of the keyword is losing ground. Search is becoming conversational, multimodal, made of continuous follow-ups. Users no longer think "how should I search for this?" they talk to an AI interface, describing needs, problems, and real context.

That's why elements once considered peripheral to SEO are becoming strategic: customer care, real user questions, support tickets, chats, calls, WhatsApp conversations, internal team discussions. This is exactly the kind of data that holds authentic insight, insight that's hard to replicate with copy-paste content.

Quality itself isn't a new topic. Re-reading Google's guidelines from the 2011 Panda Update today, something almost paradoxical stands out: the questions Google was asking about content quality back then are nearly identical to today's. The difference is that the problem now risks scaling massively, driven by widespread, shallow AI use.

This is likely where one of Search's next evolutions will play out. My sense is that Google is gradually shifting focus, from "who optimizes best" to "who becomes a recognized, chosen, and cited source." Not just through classic algorithmic signals, but through explicit user preference, citations, external reputation, and real interactions.

The real question today isn't just how to rank. It's: how much weight will user-declared trust carry in future rankings?