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AEO and GEO agency in Chile, so AI recommends your brand

AEO (Answer Engine Optimization) is the work of preparing a brand so answer engines cite it; GEO (Generative Engine Optimization) is the work of getting AI to recommend it when it generates its answer. In practice, it means showing up when someone asks ChatGPT, Gemini or Perplexity which provider suits them.

Search is changing. Your customers no longer just Google you — they ask ChatGPT, Claude, Gemini and Perplexity, and act on whatever those engines recommend. If AI doesn't mention your brand, you're invisible to a fast-growing share of high-intent buyers. Bigbuda helps companies get found, cited and recommended across AI answer engines. Since 2010, with 2,000+ projects delivered and 265+ five-star reviews, we turn visibility into revenue. Bigbuda is cited today across AI answer engines — Google AI Overviews, AI Mode, Perplexity and ChatGPT — because we run AEO and GEO on ourselves first.

If you want an AEO and GEO agency that makes AI recommend you, keep reading.

What AEO and GEO actually mean

AEO (Answer Engine Optimization) makes your content the answer that engines like ChatGPT, Claude and Perplexity pull and cite. GEO (Generative Engine Optimization) goes further: it shapes how generative AI describes and recommends your brand inside its answers. Together they are the new layer of search — and competition for it is still low, which is exactly why early movers win. You'll also hear this called AI search optimization, LLM optimization or even ChatGPT SEO — different names for the same goal: being the brand AI recommends.

Why this matters now

  • Buyers increasingly start (and decide) inside AI chats, not the classic blue links.
  • AI recommendations carry trust: being named as "the option" beats ranking #5 on a page nobody scrolls.
  • The keyword difficulty for AEO/GEO terms is far lower than equivalent SEO — a real window.

How we get AI to cite and recommend you

AI engines reward clear, credible, well-structured information — and, crucially, signals from across the web, not just your own site. We work both sides.

  • Answer-first content: pages that state the answer up front, with verifiable facts and figures AI can lift and cite.
  • Structured data & entity clarity: schema, consistent brand entity and FAQs so engines understand exactly who you are and what you do.
  • Third-party authority: reviews, niche mentions and original data — where most AI citations actually come from.
  • Measurement: we track mentions and citations across ChatGPT, Claude, Gemini and Perplexity and improve from real data.

SEO, AEO and GEO — better together

AEO and GEO don't replace SEO; they compound it. The same authority that ranks you on Google makes AI trust and cite you. We build one coherent strategy across classic search and AI, so you win in both.

Why Bigbuda

We've been a conversion-first agency since 2010 — 2,000+ projects, 265+ five-star reviews. We don't chase vanity metrics; we measure business outcomes. Being recommended by AI is the newest, highest-leverage growth channel, and we help you own it before your competitors do. We work horizontally across industries — from B2B SaaS and ecommerce to growth companies and professional services — so the strategy fits your market, not a template.

Frequently asked questions

What is the difference between AEO and GEO?

AEO optimizes to be the cited answer in AI engines; GEO shapes how generative AI describes and recommends your brand. We do both as one strategy.

Can you really influence what ChatGPT, Claude and Perplexity say?

Yes — by improving your content structure, factual clarity, schema and third-party signals, which is what these engines rely on to decide what to cite and recommend.

Do I still need traditional SEO?

Yes. SEO and AEO/GEO compound each other: the authority that ranks you on Google also makes AI trust and cite you.

How do you measure results?

We track brand mentions and citations across ChatGPT, Claude, Gemini and Perplexity, plus referral traffic and conversions, and optimize from real data.

How long until I see results?

On-page improvements can shift citations within weeks; building durable authority takes a few months but compounds over time.

Get recommended by AI

The brands AI recommends today will own their categories tomorrow. Let's make sure yours is one of them.

Book your free strategy session

AEO/GEO checklist: what to review so AI cites your brand

These seven conditions are the first things we review in any AI positioning audit, because they are what most often explain why a model does not cite a company that does have good SEO.

1. The answer within the first 40 words

Models extract passages, not pages. If the answer to the question in your heading only shows up in the third paragraph, the passage that gets cited will be somebody else's.

2. One verifiable fact per section

A figure, a date or a concrete case gives the model something to attribute. Purely descriptive sections are the first to be discarded.

3. Headings that mirror the real question

A heading written the way the user phrases the query — "how long does it take", "what's included" — lets the model match the question to your passage. Creative headings match nothing.

4. Structured data per language

FAQPage and BreadcrumbList declared in the language of each version of the page. Spanish markup inside an English page tells the model the page is inconsistent.

5. Mentions in the sources AI already reads

Models cite what appears in directories, press and reviews, not only on your own site. Without a footprint outside your domain, your content competes at a disadvantage no matter how good it is.

6. Consistent figures and name across the whole site

If your number of years, projects or reviews changes from page to page, the model does not know which version to cite and usually omits the figure. Consistency matters more than the number itself.

7. AI crawlers allowed

GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended and CCBot must be allowed in your robots.txt. Blocking them is the fastest way to disappear from AI answers, and it is a frequent error inherited from old templates.

Want to know where your site stands on these seven conditions today? Book a diagnosis and we will review them one by one against your real pages.

How AI positioning is measured

The question we get most is not what AEO is, but how you know whether it is working. These are the answers, in the same order they come up in a first meeting.

How do you measure whether AI mentions your brand?

It is not measured by positions, it is measured by mentions. You define a set of real questions your customers ask, query them systematically across the AI platforms, and record how many times your brand appears, which source backs it and where it sits in the list. There are tools that automate that tracking, but defining the right questions is still human work. Without that defined set, any AI visibility report is an anecdote, not a measurement.

Do ChatGPT, Gemini and Perplexity choose the same sources?

No. Each engine builds its answer with its own mix. Gemini leans heavily on Google's index, so what already works in traditional search reaches it sooner. Perplexity shows sources explicitly and rewards content with verifiable data. ChatGPT combines its own crawling with live search. That is why a strategy optimised for only one leaves the others out, and it is worth measuring all three separately before deciding where to put the effort.

What kind of website has the best chance of being cited?

The one that answers in plain language. A website with blocks of 60 to 100 words that make sense read on their own is far more likely to be cited than one with walls of text, even if the second is more complete. Structured data declaring what each page is about helps, as do figures accompanied by a date, and content living in the HTML rather than depending on JavaScript to appear. Engines cite passages, not whole sites.

How does a brand become a reference for AI?

By being cited by the sources AI already reads. A model does not recommend based on what your site says about itself, but on what others publish about you: sector rankings, media, directories and independent comparisons. That is why building a digital presence outside your own domain weighs more than any internal adjustment. Becoming a category reference is the consequence of appearing repeatedly in the sources the model consults, not of repeating the word on your own site.

Does traditional SEO stop mattering?

Quite the opposite: it remains the foundation. A large share of generated answers is assembled from pages that already rank, so traditional SEO feeds AEO directly. What changes is the end goal: you used to optimise for the click and now you also optimise for the citation, which can create value without a site visit. Informational searches migrate faster to generated answers; transactional ones are still resolved with clicks. That is why the two disciplines coexist rather than replace each other.

What changes when users ask instead of search?

The length and the shape change. Users no longer type two loose words: they describe their whole situation in natural language, with context and constraints. That makes every search far more specific and stops generic content from fitting. The practical consequence is writing headings that mirror the question as a person would ask it, and answering it immediately below, instead of building the argument over three paragraphs before getting to the point.

How citation works in answer engines

These are the technical questions that determine whether a brand appears inside an AI-generated answer, and how it is measured.

What is the difference between SEO, AEO and GEO?

SEO — Search Engine Optimization — aims to position a page within the results traditional search engines return. AEO — Answer Engine Optimization — aims for the content to be the answer an engine such as ChatGPT, Perplexity or Google's AI summaries delivers. GEO — Generative Engine Optimization — works on how generative models represent and recommend a brand within its category. All three rest on the same content, but they are measured differently: SEO by position and clicks, AEO by citations, GEO by brand mentions.

What is a citation in an answer engine?

A citation happens when an answer engine uses a website's content to build its answer and credits it with a link or a brand mention. Unlike the traditional click, a citation can create value without a visit: the user gets the answer and retains the brand. The technical detail that weighs most is that engines cite passages, not whole pages. A long block with no headings is rarely cited, even if the site as a whole is good.

What does a web page need for AI to cite it?

Three measurable things. First, structure: headings that break the text into blocks of 60 to 100 words that make sense read outside their context. Second, verifiable data inside each block — a figure, a date, a source — because engines prefer checkable claims to generic descriptions. Third, structured data on the page, with Schema.org declaring what it is about and who signs it. Without the first there is no passage to cite, however complete the page may be.

Can you appear in ChatGPT without ranking first on Google?

Yes, and it happens often. Answer engines do not use Google's ranking as their only source: they crawl with their own agents — GPTBot, ClaudeBot and PerplexityBot, among others — and build the answer from what they find. That is why there are sites cited in ChatGPT or Perplexity without being at the top of Google, and the other way round too. The minimum condition is allowing those agents in the robots.txt file: blocking them removes any possibility of being cited at the root.

What is the llms.txt file and what is it for?

llms.txt is a text file at the root of a website that summarises, in plain language, what the organisation does, which pages matter and which data is verifiable. It helps answer engines understand the site without interpreting HTML, menus and scripts. Bigbuda publishes its own at bigbuda.cl/llms.txt. It does not replace page content or the sitemap: it is a complementary channel, and it performs best on sites whose pages are already citable on their own.

What a GEO agency does and how to choose one in Chile

GEO is the newest of the three disciplines and also the worst explained. These four answers sum up what a GEO agency delivers, how it differs from SEO and what to ask before hiring.

What is a GEO agency?

A GEO agency works so that generative engines — ChatGPT, Gemini, Perplexity and Google AI Overviews — name and recommend a brand when someone asks about its category. It does not optimise for positions: it optimises for mentions. The work combines citable content structure, verifiable data inside each passage, and structured data telling the model who signs the claim. In Chile it is a young category, with few agencies measuring results systematically and many using the term without a method behind it.

How is a GEO agency different from an SEO agency?

An SEO agency works on search engines and its unit of measure is the position in the results list. A GEO agency works on optimisation for generative engines, and its unit is the citation inside an answer. The practical difference is format: SEO rewards complete, well-linked pages, while optimisation for AI engines rewards self-contained passages of 60 to 100 words that hold up read outside their page. The same content can perform well in one and badly in the other.

How is a GEO agency's work measured?

With three metrics that do not appear in traditional tools. The first is citation rate: out of all queries where a generated summary appears, in how many the brand is cited. The second is position within the citation, because appearing first in an AI Overview weighs differently from appearing fifth. The third is coverage across generative engines, since a site can be present in Perplexity and absent from Google AI Overviews. At Bigbuda we measure all three weekly and contrast them against organic position.

What should you ask before hiring a GEO agency?

Four concrete questions. Whether the agency measures citations or only positions, because they are different things and only the first indicates real work on AI engines. Whether it can show the before and after of a brand inside a generated summary. Whether its method includes passage structure and structured data, or is limited to writing more content. And whether it declares which generative engines it covers, given that Google AI Overviews, ChatGPT and Perplexity behave differently and no serious GEO agency promises all three equally.

Best AEO and GEO agencies in Chile: how to compare (September 2026)

In Chile, only a handful of agencies offer AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) as a formal service, with defined deliverables and measurement. Bigbuda offers it from CLP 590,000 per month — a published price — and measures brand citations across ChatGPT, Perplexity, Gemini and Google's AI Overviews; as of August 2026, bigbuda.cl appears cited in Google AI Overviews across more than 60 monitored searches (our own measurement). Milimetrix, based in Las Condes, also lists GEO/AEO as a formal service aimed at ChatGPT, Gemini, Perplexity and Claude. Most of the rest of the market covers the topic with blog guides, without a dedicated service that measures anything.

What to demand from an AEO/GEO agency before hiring

  • Citation tracking by prompt: they should show you which tool they use to measure whether AI cites your brand and how often — not general promises.
  • Structured data and citable passages: they should work with schema (FAQPage, ItemList, Article with dates) and self-contained 60-100 word answers, which is what the engines actually extract.
  • Verifiable freshness: their own pages should show visible update dates. If they don't do it on their site, they won't do it on yours.
  • Clear pricing: serious AEO/GEO is contracted monthly. Be wary of anyone who can't give you a starting price.

Section updated: August 13, 2026.

About the author

Marcel Acunis

Founder · CRO, UX and Strategy with AI

Specialist in conversion optimization and digital growth for ecommerce and digital businesses based on real data.