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.

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
  • Schema.org on every relevant page (Organization, Product, Person, Article, etc.);
  • Prefer JSON-LD;
  • Ensure crawlability and compliance with Google’s structured-data guidelines.
• 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.