GEO (Generative Engine Optimization) and SEO (Search Engine Optimization) are complementary, not substitutes. SEO still determines what appears in Google and, indirectly, feeds the AI models with web search. GEO focuses on the specific signals language models use to cite sources: structured schema, content in a citable format, external authority, and files like llms.txt. In 2026, Portuguese B2B companies need both.
Key takeaways
- SEO and GEO share technical foundations (performance, semantics, authority) but diverge on specific signals
- AI models with web search depend on classic SEO ranking
- schema.org becomes central in GEO; it was marginal in SEO
- llms.txt is specific to GEO; there is no SEO equivalent
- measurement changes radically: rankings become citation rate, share of voice, sentiment
The usual confusion
When you explain GEO to somebody from traditional marketing, the first question is almost always: "But isn't that SEO under another name?"
The short answer is no. The long answer is: partly.
GEO shares with SEO a good part of the foundation work: site performance, semantic structure, external authority. But it adds specific layers that SEO ignores, and it demands different ways of measuring results.
The comparison table
Classic SEO and GEO
| Dimension | Classic SEO | GEO |
|---|---|---|
| Objective | Ranking in the Google SERP | Citation in AI answers |
| Engines | Google, Bing | ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews |
| Primary metric | SERP position, CTR | Citation rate, share of voice |
| Schema.org | Useful but marginal | Critical |
| llms.txt | Does not exist | Emerging standard |
| Content | Optimised for the click | Optimised for extraction and citation |
| Backlinks | Important | Important but weighted differently |
| Time to results | 3 to 12 months | 4 weeks (Perplexity) to 6 months (ChatGPT) |
| Tracking | Search Console, Ahrefs, Semrush | AI measurement platforms plus in-house tooling |
Five fundamental differences
Five fundamental differences
- How success is measured
- SEO is measured in rankings (position 1, 2, 3) and CTR. GEO is measured in citation rate (in how many of N answers the brand appears) and share of voice (how dominant against the competitors).
- This difference is not cosmetic. In SEO, either you are in position 1 or you are not. In GEO, you can be cited in 30%, 50% or 80% of the answers to the same query, and every percentage point counts.
- The role of schema.org
- In SEO, schema gives small advantages: rich snippets, better understanding by Google. It is a nice to have.
- In GEO, schema is the substrate the models consume. Without correct schema, you are invisible to the classifiers that decide which entity you are, in which industry, with which services. It is a must have.
- The structure of the content
- SEO rewards long content, with hooks, narrative, attention held (dwell time signals).
- GEO rewards extractable content: definitions in the first 100 words, structured lists, explicit FAQs, takeaways at the top. The models extract short fragments to cite.
- The good news: good GEO content is also good SEO content. The reverse is not always true.
- Speed of feedback
- SEO has reasonably fast feedback: Google indexes in hours, rankings move in days and weeks.
- GEO has asymmetric feedback:
- Perplexity:
- weeks (live web search, close to SEO in speed).
- ChatGPT, Claude, Gemini:
- months (they depend on training cuts and accumulated authority; there is no deadline to promise, there is weekly measurement).
- This demands a different kind of patience. Investments in GEO compound over time, but they do not pay back linearly week by week.
- External authority
- SEO values backlinks from high-authority domains.
- GEO values mentions (with or without a link) in sources the models were trained to trust: Wikipedia, comparison sites like G2, well-known sector publications, academic papers, governments.
- In GEO, one mention without a link on Wikipedia can be worth more than fifty low-quality backlinks.
What this means for Portuguese companies
Most Portuguese marketing directors are today in one of three positions:
Position A: "SEO is fine, we will ignore AI for now." The riskiest position. In 18 months the catch-up window will be practically closed: the competitors who started in 2025 will have accumulated external authority that is hard to reverse.
Position B: "We will add some GEO practices to the existing SEO." A reasonable position if the in-house team has technical capacity. It works if it is systematic. It fails if it is just "let us add FAQ schema and see what happens".
Position C: "We treat GEO as a separate discipline with its own methodology." The position of whoever wants to be in the sector's top 3 in 2027. It demands dedicated investment: in-house, external, or mixed.
How to measure
The metrics that matter in GEO:
- Citation rate per engine: in what percentage of the answers to the target queries you appear.
- Share of voice against competitors: who dominates, who is rising, who is falling.
- Sentiment of the mentions: do you appear as a positive reference, a neutral one, or an unfavourable comparison.
- Position in the answer: the first name cited carries different weight from the fifth.
- Diversity of queries: do you appear in a few very frequent queries or in many distributed ones.
There are several international AI visibility measurement platforms, with different prices and capabilities. In Portugal, few companies use them, which creates an information asymmetry that can be exploited now.
Frequently asked questions
Is SEO going to disappear?
No. It will change in weight. In a decade, it may represent 30% to 40% of the current volume in B2B searches. Google will still exist as infrastructure, but as an interface it will lose prominence.
Can I do GEO alongside my existing SEO?
Yes, and you should. There is no methodological conflict. The team can share tools and processes, changing only the output layer.
Which tools should I have?
The minimum viable set: Google Search Console (you already have it), a technical SEO tool (you probably already have one), and an AI visibility measurement platform (you probably do not have one yet).
How much time does the team have to put in?
A realistic minimum: 5 to 10 hours a week from a technical person plus 5 to 10 hours from a content person. If the current team is already saturated with SEO, consider external capacity.
Are the international competitors already ahead?
In sectors like HR SaaS, fintech and cybersecurity, yes. American and northern European companies started in 2024 and 2025. There is a 12 to 18 month lag in the Iberian market, which is both a challenge and an opportunity.
Does it make sense to hire an agency or do it in-house?
It depends on the size of the in-house team. Companies with a marketing team of fewer than 5 people typically benefit from external capacity in the first 12 months. Large teams can bring it in-house sooner.
Read next
- SEO vs GEO: why the base matters but is no longer enough, a more recent reading that frames SEO as a necessary but insufficient foundation, with what Google says in 2026 about what works.
- How to measure GEO, the metrics in detail.
