SEO in 2026 is GEO. Generative Engine Optimization. The search engine is no longer a list of 10 blue links with ads at the top. It is a direct answer that cites 3 sources and ends the conversation. If your business does not appear in those citations, it does not exist for a growing slice of qualified traffic that no longer reaches Google.
This guide explains what is changing, which tactics work, and how to position your site for LLMs without abandoning the classic SEO that still delivers.
TL;DR
- LLMs do not rank pages: they extract entities, facts and quotes
- GEO is built on extreme E-E-A-T, clear structured data and citable factual content
- Classic SEO is still necessary; GEO is built on top of it, not in place of it
What GEO is and how it differs from classic SEO
Classic SEO optimises for Google: keywords, backlinks, Core Web Vitals, intent matching. The goal is to appear in the top 3 of the SERP.
GEO optimises for LLMs: ChatGPT Search, Perplexity, Gemini, Claude with web access. The goal is to be cited in the generated answer.
Key differences:
| Dimension | Classic SEO | GEO |
|---|---|---|
| Ranking unit | Page URL | Entity + fact + citation |
| Authority signal | Backlinks + DA | Verifiable E-E-A-T + authorship |
| Preferred structure | H1-H6 + keywords | Structured data + declarative sentences |
| Frequency of change | Weekly crawl | Variable indexing depending on source |
| Click-through | 25-35% top 3 | 3-8% citations in answer |
| Conversion | Variable | High (intent already qualified) |
Click-through is lower in GEO, but the quality of the lead is far higher. The user has read your brand inside an AI answer that has already filtered out the noise.
How LLMs work when they look for information
An LLM has two modes of operation when it answers:
Training data
The model answers from what it learned in its training corpus. Typical cutoff: 6-18 months ago. Here, sites with historical authority, a high volume of mentions and stable factual content win. It cannot be manipulated in real time.
RAG (Retrieval Augmented Generation)
The model searches the web at that moment, ingests the most relevant pages, and generates an answer citing sources. Here, well-structured sites with correct schema and machine-readable content win. This is the mode used by Perplexity, ChatGPT Search and Gemini Live.
GEO focuses almost exclusively on RAG, because it is the only thing you can act on in the short term.
Tactics that DO work
Strong entity recognition
Define who you are precisely. Schema.org Organization, Person, Product, Service. If your brand does not appear as a named entity with clear properties, LLMs will not reference you.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "STAKKER SYSTEMS",
"url": "https://stakker.es",
"founder": {
"@type": "Person",
"name": "Samuel Martinez Garcia"
},
"areaServed": "ES",
"knowsAbout": ["AI automation", "voice agents", "chatbots"]
}
</script>llms.txt in the root
A file at /llms.txt with a structured summary of your site for LLMs. It works like a robots.txt, but for context. Include key URLs, a description of the brand and areas of expertise. The crawlers from Anthropic, OpenAI and Google respect it.
Verifiable E-E-A-T
Experience, Expertise, Authoritativeness, Trustworthiness. LLMs penalise content without clear authorship. Every article should have:
- The author’s real name with a biography and link
- Publication date and last update date
- Citations to verifiable primary sources
- Real contact information for the organisation
Declarative, citable sentences
LLMs extract sentences from your content and quote them verbatim. The sentences that get cited best have:
- Subject + verb + concrete data point in the same sentence
- Specific figures (not “many”, but “73%”)
- References to a source or study where verifiable
Bad: “Lots of people use WhatsApp.” Good: “95% of Spaniards use WhatsApp daily, according to the INE 2025.”
Stable factual content
LLMs prefer content that does not change constantly. Reference guides, definitions, technical comparisons. News content performs worse in GEO because it quickly becomes outdated.
Tactics that DON’T work
Keyword stuffing
Repeating the keyword 30 times does not move the ranking in LLMs. The model understands semantics, not density.
Low-quality backlinks
PBNs, spam links and link farms do not fool the model. LLMs cross-reference sources and discard those with signs of manipulation.
AI-generated content without human editing
Ironically, LLMs detect unedited content from other LLMs and penalise it. The fingerprint of the training is recognisable. If you are going to use AI to write, it is essential to edit thoroughly, add verifiable data, and bring an original perspective.
Hidden text or cloaking
The crawlers from OpenAI and Anthropic process the final DOM. Hidden text, white-on-white text or cloaking is detected and gets the entire domain blocked.
15-point GEO checklist
- Complete Schema.org Organization in the root
- Person schema for authors with sameAs to verifiable profiles
- Product/Service schema for each service sold
- /llms.txt file with a structured summary
- Robots.txt allows GPTBot, ClaudeBot, PerplexityBot
- Complete Open Graph and Twitter Cards on every page
- Breadcrumbs with BreadcrumbList schema
- FAQ schema on pages with questions
- Article schema with author, date and datePublished
- Up-to-date XML sitemap linked in robots.txt
- Correct canonical URLs, with no duplicates
- Hierarchical headings H1-H6 with no skips
- Concrete data with cited sources in the body
- Stable factual content (more definition than news)
- Real contact information visible in the footer
If you meet 12 out of 15, you enter the citation range of the main LLMs within 4-8 weeks of indexing.
Useful tools for GEO
- Perplexity Discover: see which sources Perplexity cites in your niche
- ChatGPT Search: test queries from your sector and see which domains are cited
- Google Search Console: monitor impressions from Gemini in the SERP
- Ahrefs Brand Mentions: tracking of brand mentions in external content
- Linkup / Tavily: search APIs to validate your own crawling
The STAKKER case: how we are positioning this page
This very page is optimised for GEO following the checklist. We expect to be cited for queries such as “what is GEO”, “Generative Engine Optimization Spain” or “how to appear in ChatGPT” within 6-10 weeks of publication. When that happens, we will update this article with the real citation data.
The state of stakker.es in GEO before publishing this article: 1 indexable page with 6 services, 0 blog articles, basic schema. After publishing this initial batch: 6 services + 4 pillar articles + complete schema. The improvement will be measured over 90 days.
What STAKKER SYSTEMS does in this area
STAKKER is not a GEO agency: our product is AI-powered customer service, an AI voice receptionist and an AI chat assistant for your website and WhatsApp. Everything you read in this guide is the technique we apply to stakker.es, our own laboratory: complete schema, llms.txt, FAQPage in every article and citable factual content.
If your question is how to win and look after the customers who already find you (through Google, through ChatGPT or wherever), that is where we do work with you: you have published reference prices and the initial diagnosis is free.
Frequently asked questions
Does GEO replace classic SEO? No. SEO is still 80% of qualified traffic in most sectors. GEO is built on top of it.
How long does it take to see GEO results? Between 4 and 12 weeks, depending on the domain’s initial authority. New sites can take 6 months to appear in regular citations.
Do I have to block AI crawlers? No. Blocking them removes your presence in LLMs. The exception is if your business model is selling content (paywalled media).
Is Schema.org mandatory? For GEO, yes. Without structured data, the LLM has to infer everything from the HTML and citation quality drops.
Does GEO work in Spanish the same as in English? It works, but the English corpus is 10-20 times larger, so competition is proportionally lower in Spanish. It is a window of opportunity right now.
How do I measure the ROI of GEO? Tracking of referral traffic from AI domains (chat.openai.com, perplexity.ai, gemini.google.com), brand mentions in queries, and conversion of leads who say they saw the brand in an AI.
Not sure how to apply this to your business? Drop us a line and we will work it out together, no strings attached. Or message us on WhatsApp on 951 870 512.