Artificial intelligence has radically transformed the world of digital marketing — and SEO is no exception. While the competition used to revolve around exact-match keywords and mass backlinks, today’s search engines (especially Google) are becoming increasingly intelligent, contextual, and focused on the user’s true search intent.
With the rise of semantic search, SGE (Search Generative Experience), and the growing emphasis on content that meets EEAT criteria (Experience, Expertise, Authoritativeness, Trustworthiness), the game has changed. In this article, you’ll understand what has truly shifted in SEO with the rise of AI — and how to adapt strategically.
Semantic search is the ability of search engines to understand the meaning behind words, not just the individual terms.
This means that Google, for example, interprets context, intent, and the relationship between concepts, delivering results that go beyond exact keyword matches.
Before: Exact-match keyword = better ranking
Now: Matching search intent = better ranking
As a result, content optimizers need to rethink their titles, headings, and descriptions: it’s not enough to repeat keyword, it’s essential to deliver complete, contextual answers. Related expressions, synonyms, questions, and natural language are increasingly valued.
Google is testing (and gradually rolling out) SGE, or Search Generative Experience, an interface powered by generative AI that responds to queries with smart summaries, citing trusted sources and often eliminating the need for users to click on websites.
What changes in practice?
The competition for the top spot on the SERP loses strength: the spotlight now goes to the content cited by Google in its generated responses.
Sites need real authority: SGE’s AI tends to highlight content that is clear, trustworthy, and well-founded.
Speed and structure matter: well-organized content with subheadings, bullet points, and objective explanations is more easily “understood” by AI.
The takeaway is clear: optimizing for the user now means optimizing for AI too.
Since Google’s latest major updates, the EEAT criteria have become the guiding framework for anyone aiming to rank well:
Experience: Does the author or website have hands-on experience with the topic? Are real, personal, or market-based examples used?
Expertise: Does the content demonstrate technical or professional mastery of the subject?
Authoritativeness: Is the site or author recognized as a reference in the field?
Trustworthiness: Are the insights safe, up-to-date, transparent, and from reliable sources?
These pillars guide quality evaluation by both Google’s human raters and its AI-driven algorithms.
Sign your articles with the author’s name and role.
Create “About” pages with background information and credentials.
Cite reliable sources (preferably with links).
Use up-to-date data and recent studies.
Provide answers with depth and clarity.
Keywords are still important, but their role is now more strategic than mechanical. Today, they serve as a starting point for content structure, not a rigid rule to follow.
Instead of: Repeating the same keyword 10 times in the text
Do this instead:
Use the main keyword in strategic spots (title, H1, meta description, first paragraph)
Include semantic variations, such as FAQs and related terms
Write naturally and fluidly, focusing on real readers — not bots
Tools like Google Search Console, Semrush, or Answer The Public are excellent for mapping topics and questions your audience is actively searching for.
As AI increasingly understands images, videos, and even audio, multimodal content is becoming essential for strong performance.
What to consider:
Use well-written alt text in images, with real context
Include embedded videos with transcriptions or captions (AI processes this content)
Ensure clear visual structure, with proper use of heading tags (H1, H2, H3…)
Page load speed and mobile performance remain critical factors
User experience (UX) and how people navigate and consume content directly affect your search performance.
AI aims to deliver answers that match how people talk and ask questions. That’s why content that mimics natural conversation is gaining an edge.
Adopting a more direct, less robotic tone, using Q&A structures, bullet points, and well-divided blocks, helps both human readers and AI better understand your content.
If AI has changed the rules of SEO, it has also provided tools to help you play the game smarter. Here are a few worth exploring:
Surfer SEO – for optimizing text based on real-time competition
ChatGPT + SEO extensions – for brainstorming topics, structuring content, and generating FAQs
NeuronWriter – focused on semantic writing and EEAT compliance
Google Search Console – still essential for tracking real-world performance
But remember: AI is an ally, not the author.
The strategic and human touch is irreplaceable.
The content addresses a real search intent
It’s structured in a scannable format (headings, lists, summaries)
It demonstrates experience and authority from the author or brand
It uses keyword variations naturally
It includes relevant internal and external links
It is up-to-date, trustworthy, and well-referenced
It offers a fast and mobile-friendly experience
It is multimodal (with images, videos, or graphics) when possible
It was created to be useful before being ranked
SEO isn’t dead, it has evolved. Artificial intelligence didn’t kill SEO. It transformed it.
Today, ranking on Google (or any search engine) requires more than technique, it demands content that is relevant, trustworthy, well-structured, and focused on user experience.
It’s no longer about tricking the algorithm, it’s about building true digital authority. And in that, creativity, strategy, and human intelligence remain the main characters.
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Giovanna Marques
Graduated in Literature. She has experience in translation, text editing, and content creation. Currently, she is a copywriter at Mark Publicidade and strives for clear and didactic communication in her texts. She values versatility and creativity.