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LLM and AI search optimization

We prepare your website so ChatGPT, Claude, Gemini, Perplexity and Google's AI Overviews can find it, understand it and cite it correctly: structure, data, clear entities and measurement.

LLM optimization (also called GEO or AEO) prepares a website so AI assistants such as ChatGPT, Claude, Gemini or Perplexity, and Google's AI Overviews, can find it, understand it and cite it in their answers. At AVILA®, a technology and business consulting firm based in Monterrey, Mexico, we apply it to the sites we build and offer it as a service for existing sites.

Why it matters

More and more people ask an AI assistant instead of scanning a list of links: "which company in Monterrey builds custom software?", "how do I choose an ERP?". The assistant puts together an answer and, in many cases, cites the sources it used. If your site isn't clear, isn't available to those systems, or says something different from what other sites say about you, the assistant answers with another source, or with the wrong information about your organization.

How AI assistants find and cite sources

There are two paths, and both deserve attention:

  • What the model learned. Language models are trained on large volumes of public text. What the web said about your organization at that time shapes what the model "knows". That knowledge has a cutoff date and doesn't update instantly.

  • What the assistant looks up in the moment. ChatGPT, Perplexity, Gemini, Claude and Google's AI Overviews search the web when answering: they use search indexes or their own crawlers, read the most relevant pages and pull out passages. Here technical SEO and clear content carry a lot of weight.

Either way, these systems favor sources that answer directly, offer verifiable facts and agree with what other trustworthy sources say.

What we do

Answer-first content

Every key page opens with a paragraph that answers the main question in a few lines: what it is, who offers it and where. Then come the details, lists and examples. That's the passage an assistant can cite without reinterpreting it.

Real FAQs

Questions people actually type, with self-contained answers that make sense without reading the rest of the page, marked up as FAQPage structured data.

Clear entities

An assistant needs to know unambiguously who your organization is: legal and trade name, location, founding year, services, key people and relationship to other brands. We declare this with schema.org structured data (Organization, Service, Person) and keep it consistent across the site.

Sourced facts

Figures with their year, verifiable facts and references. Vague claims ("we're the leaders") don't get cited; concrete facts do.

The llms.txt file

An open proposal from 2024: a file at the site root that summarizes, in plain text, what the organization is and which pages matter most, written for language models. Not every assistant uses it, but it's cheap to maintain and keeps information organized.

AI crawlers in robots.txt

AI providers use different crawlers to train their models and to search in real time, such as OpenAI's GPTBot and OAI-SearchBot, Anthropic's ClaudeBot or PerplexityBot. We explain what each one does and configure your robots.txt based on your decision: allow search and training, search only, or neither.

Brand consistency across the web

Assistants cross-check sources. We make sure your name, address, services and description match across your site, your social profiles, directories and your business group's websites. Social profiles and content are managed by our sister company tresensocial as part of digital presence.

Technical foundation

None of this works if the site can't be crawled: content visible in the HTML and not only after running JavaScript, speed, a sitemap and structured data. That foundation is our technical SEO service.

How it's measured

Measurement is still imperfect, and we say so. We use three sources:

  1. Visits coming from AI assistants, identified in your analytics by referring site (for example, chatgpt.com or perplexity.ai).

  2. A set of test questions about your organization and services, asked periodically to several assistants to see whether they mention you, cite you and get the facts right.

  3. Search Console and Bing Webmaster Tools for traditional search, which feeds several assistants; appearances in AI summaries can't always be separated from the rest.

What nobody can promise

No one, not us and not any agency, can guarantee that an AI assistant will mention or cite your site. Answers change with the question, the user, the model and the day. What can be done is remove technical obstacles, give assistants clear and consistent information, and measure. Be wary of anyone promising to put you "first on ChatGPT".

How we work

  1. Assessment. Test questions to several assistants, a technical review of the site and a check of your brand's consistency across the web.

  2. Prioritized plan. Technical, structural and content changes, ranked by impact.

  3. Implementation. Structured data, llms.txt, robots.txt, structural changes and, with tresensocial or your agency, content changes.

  4. Measurement and tuning. We rerun the test questions and review visits from AI assistants under a support plan.

Experience behind the service

In 2026, together with tresensocial, we built a corporate site with a newsroom designed for search engines and AI assistants. Our own site runs on WebLayer, the website engine we developed at AVILA®, which includes structured data, a sitemap, linked Spanish and English versions and an llms.txt file; this very page is written answer-first. We apply the same approach to the websites we build.

Benefits

  • Accurate information about your organization when someone asks an AI assistant.
  • Content structured so assistants can cite it without reinterpreting it.
  • Informed control over which AI crawlers can read your site and for what.
  • A consistent brand identity across your site, your social profiles and your group's websites.
  • Honest measurement, with test questions and real visits from assistants.
  • Improvements that also help traditional SEO and your visitors' experience.

Frequently asked questions

What is GEO or AEO?

GEO (generative engine optimization) and AEO (answer engine optimization) are names for the same discipline: preparing a site so AI assistants and AI-powered search use it as a source when answering. It builds on traditional SEO but puts more weight on direct answers, verifiable facts, clear entities and consistent information across the web.

Can you guarantee my company will show up in ChatGPT?

No, and nobody can honestly do so. Assistant answers change with the question, the model, the user and the date. What we do is remove technical obstacles, provide clear and consistent information about your organization, and measure with test questions whether assistants mention you and whether they get it right.

Is it the same as traditional SEO?

They share a foundation: a crawlable, fast, well-structured site. But a traditional search engine ranks links while an AI assistant writes an answer, so it matters more that each page answers directly, that facts are sourced and that your brand is described the same way everywhere. That's why we offer them as separate, coordinated services.

What is the llms.txt file and do I need it?

It's an open proposal from 2024: a text file at the site root that summarizes what your organization is and links to its main pages, written for language models. It isn't an official standard and not every assistant reads it, but it's simple to maintain and keeps information organized. We recommend it as part of the package, not as a standalone fix.

Should I block AI crawlers?

It depends on your strategy. Blocking training crawlers keeps your content out of model training; blocking search crawlers keeps assistants from citing you when they answer. Most service businesses prefer to be cited. We explain each crawler and configure your robots.txt based on your decision.

How do I know whether AI assistants already mention my company?

With a set of test questions about your organization and services, asked to several assistants and repeated periodically, and with your site analytics, which show visits coming from chatgpt.com, perplexity.ai and others. The initial assessment includes this review and shows you what assistants say about you today.

How long until I see results?

Assistants that search in real time can reflect changes within weeks, once they recrawl your site. What a model learned during training only changes when the provider updates it, which can take months. That's why we combine fast-acting technical changes with long-term consistency.

Do I need to rewrite all my content?

Not necessarily. We start with the pages that matter most: home, main services, about and FAQs. Many improvements are structural: an opening paragraph that answers, clear headings, sourced facts and structured data. If rewriting is needed, we coordinate it with tresensocial or your content agency.