What is GEO and how does it differ from traditional SEO?

GEO (Generative Engine Optimization) is the optimization of content for generative AI engines like ChatGPT, Perplexity, and Google AI Overviews. Unlike traditional SEO — which aims to rank in Google search results — GEO aims to get your content found, understood, and cited by artificial intelligences when they generate answers. SEO focuses on keywords and backlinks; GEO focuses on entities, semantic relationships, and structured data (Schema Markup).

Does my small business in Santo Domingo need to prepare for GEO?

Yes, especially if you depend on local searches. When a user asks ChatGPT 'recommend a web designer in Santo Domingo' or searches Perplexity for 'best branding agency in the Dominican Republic,' the AI selects sources based on signals of authority, structure, and relevance. A well-optimized SME for GEO can appear above larger competitors that lack structured data. Implementing LocalBusiness schema, keeping your Google Business Profile updated, and linking your entities with sameAs to verified profiles are steps accessible to any business.

How much does it cost to implement structured data on my website?

It depends on the size and platform of your site. If you use WordPress, plugins like RankMath or Yoast SEO include basic schema for free. A custom schema implementation for a typical SME (20-50 pages) can cost between USD 300 and USD 1,500 as a one-time project. The return is measured in visibility: appearing in AI answers can generate traffic and leads without cost per click. For more complex or enterprise sites, the investment is higher but proportional to the content volume.

Is Google still relevant if I optimize for GEO?

Absolutely. GEO does not replace SEO, it complements it. In fact, many GEO practices — such as implementing structured data, improving content architecture, and building coherent internal links — also improve your ranking in traditional Google. The difference is that now you are optimizing for two types of 'search engine': the traditional (Google SERP) and the generative (AI Overviews, ChatGPT, Perplexity). Google itself recommends using schema to be visible in its AI Overviews.

How do I measure if my GEO strategy is working?

Monitor these signals: (1) In Google Search Console, check if you appear in AI Overviews; (2) Periodically ask ChatGPT and Perplexity about your industry + city and verify if your business appears in the answers; (3) Track referral traffic from AI domains (chatgpt.com, perplexity.ai); (4) Measure the CTR of your pages with schema vs. without schema; (5) Monitor your presence in brand + city searches. Measurement in GEO is still evolving, but these signals will give you a clear picture of your visibility.

Is your website ready for a future without traditional search engines? — A GEO readiness audit for 2026

Direct answer: Most websites — including probably yours — are not ready. More than half of all pages on the internet lack structured data, content is trapped in text blocks that AI systems cannot interpret, and internal links do not tell a coherent story. The good news is that fixing this is within reach for any business, even an SME in Santo Domingo. This audit tells you exactly what to check and in what order.

By 2026, Gartner predicts that traditional search engine volume will drop 25%, displaced by AI assistants like ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. If your website is only optimized for classic Google, you are building a digital presence for a world that is disappearing.

The shift that has already started (and most people ignore)

This is not a prediction: it is an ongoing transition.

In 2023, 81.5% of SEO professionals already reported that generative AI had impacted their strategy, according to the State of SEO report by Search Engine Journal. 72.4% anticipated positive benefits. But here is the data point that matters: more than 50% of all websites have no structured data at all (Web Data Commons, 2024), which makes them virtually invisible to AIs.

This is not a marginal technical issue. It is a strategic emergency. Because when a user asks ChatGPT “what branding agency in Santo Domingo do you recommend?” or searches Perplexity for “best web design studios in the Dominican Republic,” the AI does not use PageRank. It uses completely different signals.

What is GEO and why should you care?

GEO (Generative Engine Optimization) is the discipline of optimizing your content so that generative AI engines — like ChatGPT, Google AI Overviews, Perplexity, Bing Copilot, and Claude — can find it, understand it, and cite it.

Traditional SEO	GEO
You optimize for Google’s algorithm	You optimize so an AI cites you as a source
Keywords + backlinks	Entities + relationships + structure
The goal is to rank	The goal is to be cited
Meta tags and headings	Schema markup + structured content
CTR and SERP position	Citation rate in AI answers

It is not that SEO is dying. It is that SEO is expanding. What worked before is still necessary, but it is no longer sufficient.

The 3 pillars of a GEO audit (what AIs need from your site)

Based on the ImageX audit framework presented in Search Engine Journal, these are the three pillars that determine whether an AI can — or cannot — use your content:

Pillar 1: Schema Markup and structured data

The problem: Most websites present plain text to AIs. Without schema markup, an AI has to guess what each element on your page means.

Imagine your page says: “María Fernández, Strategy Director at By Enki, Santo Domingo.” For a human, it is clear. For an AI without schema, it is a string of words. With schema, you are explicitly saying: this is a Person with a jobTitle who works at an Organization located in a Place.

What Google, Microsoft, and OpenAI have confirmed:

Google stated at Search Central Live (Madrid, 2025) that Gemini — the model powering AI Overviews — uses structured data to understand content. John Mueller explicitly recommended implementing schema.
Microsoft Bing confirmed that schema markup helps its models interpret content “with confidence,” according to Krishna Madhavan, Principal Product Manager at Bing.
OpenAI integrated support for structured data in ChatGPT Search.

The minimum schema every site should have:

Schema Type	What it does	Priority
`Organization` or `LocalBusiness`	Defines who you are, where you are, what you do	Critical
`WebPage` + `WebSite`	Context about the page and the site	Critical
`Article` or `BlogPosting`	For editorial content, with author and date	High
`Person`	To attribute real authorship with credentials	High
`FAQ`	Frequently asked questions that AIs can cite directly	High
`Product` + `Review`	If you have products or services with ratings	Medium
`BreadcrumbList`	Helps understand the site architecture	Medium

How to check this yourself:

Run Screaming Frog (free version up to 500 URLs) over your site.
Filter pages that have structured data vs. those that do not.
If your homepage, service pages, and main articles do not have schema, you have an urgent problem.

Pillar 2: Structured content (not trapped in a single text block)

The problem: You open your CMS and discover that all the content on your services page lives inside a single WYSIWYG field. Title, description, pricing, case studies, testimonials… all in the same HTML soup.

This is known as the “blob body field problem.” For an AI, that page is a single undifferentiated paragraph. It cannot extract the price, the service, the location, or the social proof because there are no tags separating one thing from another.

What AIs look for:

Content split into tagged fields with clear purposes
Short, self-contained paragraphs (one idea per paragraph)
Logical heading hierarchy (H1 → H2 → H3, without jumps)
Predictable formats: lists, tables, numbered steps
Semantic signals: phrases like “In summary,” “Step 1,” “The most common mistake,” “Conclusion”

A 2023 study (Doostmohammadi et al.) showed that even simple keyword matching techniques (BM25) outperformed purely semantic approaches in retrieval accuracy. Translation: AIs respond better when you use the exact terms your audience uses, not creative approximations.

Pillar 3: Internal links that tell a story

The problem: AIs build their understanding of your brand by navigating the relationships between your pages. If your “Services” page does not link to case studies, your “Team” page does not link to services, and your blog does not link to anything, the AI sees a set of loose pages, not a coherent organization.

What you need to build:

Your main service page should link to related project pages
Your team bios should link to the services each person leads
Your case studies should link back to the corresponding services
Anchor texts should describe the relationship in natural language, not “click here” or “read more”

This fabric of connections is what entity SEO calls a “content knowledge graph.” It is what allows an AI to understand your business at the level of relationships, not isolated pages.

5-minute quick audit: is your site ready for GEO?

Answer these 5 questions honestly:

Does your site have schema markup? Go to Google Rich Results Test, paste your homepage URL, and press “Test URL.” If it detects no structured data, the answer is NO.
Is your content split into fields or does it live in a single WYSIWYG block? Open your CMS and review how your main services page is built.
Do your key pages link to each other with descriptive anchor text? Check 3 important pages. Do they connect to other relevant pages using phrases like “our branding service in Santo Domingo,” or are the links generic?
Does Google Search Console show impressions from “AI Overviews”? If you are not tracking this, you do not know if you are already losing traffic.
Does your content answer specific questions that your ideal client would ask an AI? Test it: ask ChatGPT or Perplexity “what [your service] in [your city] do you recommend?” Do you appear?

If you answered NO to 3 or more, your site needs a GEO intervention.

Statistics that should worry you

Data point	Source
Traditional search volume will drop 25% by 2026	Gartner
+50% of websites have no structured data	Web Data Commons, University of Mannheim (2024)
81.5% of SEO professionals already see AI impact on their strategy	State of SEO, Search Engine Journal (2023)
Schema markup improves presence in AI Overviews with higher citation rates	BrightEdge (2025)
Google, Microsoft, and OpenAI explicitly recommend using structured data for AI visibility	Search Central Live Madrid 2025; Bing Blog 2025; OpenAI Help Center
Brightview Senior Living achieved +25% in non-branded clicks using entity linking with schema	Case documented in Search Engine Journal (2025)

Action plan: From 0 to GEO-ready in 90 days

First 30 days (quick wins)

Implement Organization/LocalBusiness schema on your homepage
Add Article schema to your 10 highest-traffic pages
Set up Google Search Console to track clicks from AI Overviews
Audit your 3 main service pages: are they “blobs” or do they have structure?

Days 30-60 (structural improvements)

Implement FAQ schema on service pages with real frequently asked questions
Add sameAs to your schema to link your site to verified profiles (LinkedIn, Instagram, Google Business Profile, Wikipedia if applicable)
Restructure the content of your key pages using separate fields
Build internal links between key entities (services ↔ projects ↔ team)

Days 60-90 (competitive advantage)

Implement entity linking with references to Wikidata/Wikipedia for your city and sector
Create content designed specifically to be cited: clear definitions, original data, actionable lists
Monitor your presence by asking ChatGPT/Perplexity about your industry and city every 15 days
Expand schema to every page on the site

What happens if you do nothing?

In the best case, your site will continue to receive traffic from traditional Google… while that traffic shrinks quarter after quarter. In the worst case, you will be invisible to the generation of users who no longer google: they ask an AI directly.

In markets like the Dominican Republic, where ChatGPT and AI assistant adoption is growing rapidly among professionals and decision makers, the window to position yourself as an authoritative source in your sector is closing. Whoever reaches the AI answers first for “best web design agency in Santo Domingo” or “branding studio in the Dominican Republic” will gain an advantage that is hard to overcome.

Conclusion

SEO did not die. But the search ecosystem split in two: the old world of 10 blue links, and the new world of AI-generated answers that cite sources. Your site needs to work in both.

The GEO audit you just read gives you the framework. The rest depends on execution. And execution starts with the most basic things: structured data, content that can be extracted, and relationships that tell a coherent story.

You do not need to be a 10,000-page enterprise. An SME with 20 well-structured pages and correct schema can be more visible in AI than a large competitor with 500 poorly built pages.

Frequently Asked Questions about GEO

At By Enki we prepare your digital presence for the future. From websites with structured data and schema markup to content strategies designed to be cited by AIs. If your site does not pass this GEO audit, tell us about your project. We deliver a proposal in 24 hours.