# GEO vs SEO: what’s the difference (and what CMOs should do about it)

André Pitì

26 de November de 2025

## **GEO vs SEO: same queries, two disciplines**

Leaders are staring at the same queries and seeing two very different outcomes.

In **Google**, you fight for blue links. In **AI answers**, your brand either appears as part of a synthesized response, or it vanishes.

For this latter aspect, GEO (Generative Engine Optimization) – otherwise called AEO – is the area that CMOs should own, or at least know about before throwing money in digital PR or jumping in the Wikipedia’s publication nightmare.

## GEO vs SEO at a glance

In short, **SEO is page-first; GEO is entity-first.** Page-first means you optimize individual URLs to earn rankings and clicks. Entity-first means you **teach models who you are, what you’re known for, and why you’re credible**, so you’re included (and cited) in the answer. Treat them the same and you’ll waste budget. Treat them as complementary and you’ll compound results.

| Dimension | SEO (Page-First) | GEO (Entity-First) |
| --- | --- | --- |
| **Primary unit** | URL (page/document) | Entity (brand, product, person, concept) |
| **How engines “select”** | Ranking algorithms order **pages** | Answer synthesis selects **facts/entities**, then cites |
| **Optimization focus** | On-page content, technical SEO, link earning | Entity clarity, fact precision, provenance, KB presence |
| **Core artifacts** | Title/H1, body copy, internal links, schema for rich results | Unambiguous definitions, claims with sources, knowledge base items (e.g., Wikidata), consistent labels |
| **Output** | Ranked links that drive clicks | In-answer inclusion and citations that shape perception |
| **Primary goal** | Sessions & conversions from SERP | **Being named** (and trusted) inside AI answers |

## Entity-first optimization for LLMs vs page-first SEO

Stop asking “Which page should we optimize for AI to rank in LLMs’ answers?”

This is an inherently wrong question.

Instead, we could rather pose a question like: “Which information in both our and external websites is creating an entity for LLMs to pick up?”

**Bottom line is**: SEO asks _“which URL deserves position #1, and how to optimize for that?_“, While GEO asks “ _which facts about our entity must the model ‘know,’ and which sources prove them?_”

### What SEO optimizes: a URL-based world

Search engines still crawl and index the web as **pages**. The primary unit of competition is a URL. Ranking systems evaluate content quality, intent match, links, and technical signals to decide which **page** to show and in what order. The outcome is **ranked links that send users to websites**.

- **How Google “sees” the web:** crawlable, indexable pages with structured data that work as hints (e.g., schema.org) layered on top. Structured data improves eligibility for rich results, but the substrate is still a page.
- **What ranks a page:** intent satisfaction + quality + authority (often inferred via links/mentions) + technical compliance.
- **Policy context:** scaled, low-quality content and “parasite SEO” tactics are increasingly penalized; automation **isn’t** banned, **abuse is**. This is driving a return to usefulness over volume.
- **Output & goal:** traffic from SERPs to your site, where you convert.

### What GEO optimizes: an entity-based world

Generative engines (LLM-powered answers) **don’t rank pages—they synthesize answers.** The model assembles facts and context about **entities** (brands, people, products, concepts), sometimes citing sources as evidence.

- **Knowledge unit = entity graph:** models resolve “who/what” and “how entities relate.” Schema markup helps machines parse pages, but **Wikidata and other knowledge bases** strengthen the canonical record of _the thing itself_.
- **Citations are evidence, not endpoints:** links in AI answers serve to **support claims**, not to list options.
- **Output & goal:** **complete answers delivered instantly**—with your brand included as a trusted explainer, originator of a definition, source of a stat, or provider of a product.

### Executive takeaway

- Today, you should mind both SEO and GEO, but **measure and prioritize them differently**.
- If you don’t have a solid SEO structure, GEO should be the least of your problems, as you can only get some temporary quick wins.
- Use SEO to create web pages as **building blocks** for entity clarity in GEO.
- Use GEO analysis to discover **facts, sources and topics** that LLMs retrieve and base their answers on.

## **Why optimizing a single page for LLMs misses the point**

You can’t “rank a page” in a generative answer the way you rank in a SERP. Page-level work **still matters**, but as raw material: your glossary page defines the concept; your product hub clarifies specifications; your research post contributes a statistic; your expert bio confirms credentials. These **page-level artifacts** act as **features** for the **entity-level model**.

This is also why vague, fluffy copy and inconsistent naming sabotage GEO: if a model can’t resolve the entity or verify the claim, it won’t risk surfacing you—especially as AI providers narrow triggers after high-profile hallucinations in 2024.

## **How to do GEO well**

GEO is a matter of knowledge. Meaning, you need visibility on what LLMs are retrieving when prompted about your brand, industry, and topics.

Here are four core steps to prioritize and implement a correct GEO/ AEO workflow.

### **1) Entity clarity**

- Creation of [structured data](/content/?page_id=408/index.html)
  - **Schema.org** on every relevant page (Organization, Product, Person, Article, etc.);
  - Prefer JSON-LD;
  - Ensure crawlability and compliance with [Google’s structured-data guidelines](https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data).
- **Wikidata/Wikipedia presence** when appropriate: establish or improve items for your brand, products, and executives. Use precise labels, aliases, and properties.
- **Consistent naming** across site, social, press, and partner listings. One canonical brand spelling. One product name. One job title.

### **2) Answer-friendly content**

- Write **definitions, claims, and data points** that a model can lift cleanly. Favor declarative sentences and **unambiguous units** (“We define X as…”, “Our 2025 study found… 1,124 B2B leaders…”).
- **Cite your sources** and host first-party evidence (PDFs, charts, downloadable datasets).
- Use **FAQ blocks** to normalize common Q→A pairs—helpful for both rich results and AI grounding.

### **3) Semantic connections**

- Build **context-rich clusters**: interlink glossary ↔ research ↔ product use cases ↔ expert bios to mirror real-world relationships among entities.
- Refer to related entities with standard names and link to authoritative profiles (e.g., standards bodies, partner orgs).
- Treat **internal links as relationship edges**, not just navigation.

### **4) Trust signals**

- Earn **authoritative mentions** in credible outlets; third-party coverage becomes evidence for LLMs.
- Keep **structured-data consistency** across your site (Org → sameAs to official profiles; Product → GTIN/MPN; Person → sameAs to LinkedIn).
- Mind **policy alignment**: avoid scaled content abuse and reputation-abuse patterns that can degrade both SEO and GEO.

## **FAQs: GEO and SEO**

### Do backlinks still matter for GEO?

Yes, but as **signals of authority and provenance**, not just ranking juice. LLMs prefer facts with evidence; credible links and mentions strengthen your claims. This also protects SEO performance under evolving spam policies.

### **Should we create more pages or better entity docs?**

Start with **entity docs** (definitions, specs, bios, research) and connect them with clusters. Add pages only where they add distinct facts or use-case coverage.

### How can I speed up content production to achieve my GEO goals?

You can use the Make-Rev function to create SEO-optimized templates at scale without sacrificing quality. Select the type of content you want to produce or review, and get a **structured content backbone** with **suggestions for each title and paragraph** **directly in your CMS**.

### Will GEO hurt SEO?

No. Done right, GEO **reinforces** SEO. Clear entities and structured data improve how Google understands your pages, while high-quality sources and mentions help both ranking and AI inclusion.