SEO for AI • AI Overviews • LLM answers

Become the primary source for AI.

LLMO (Large Language Model Optimization) is the new standard of SEO. We help companies become a trusted source for models like ChatGPT, Gemini, Perplexity or Copilot – and gain visibility in AI Overviews and AI assistant answers.

How to start with LLMO Run LLMO audit
✔ SEO for AI ✔ AI Overviews ✔ LLM answers ✔ Data, not guesses

LLMO = SEO for AI and large language models

Classic SEO focuses on rankings in Google. LLMO focuses on whether AI knows you, trusts you and actually uses your content when generating answers.

Optimization for large language models (LLMs) combines technical SEO, content signals, structure and EEAT so that models can reliably read, understand and quote your site.

  • 🔎
    Content that answers real questions
    Pages and formats aligned with how people ask AI – questions, prompts and long-tail queries.
  • 📚
    Structure AI can easily reuse
    Headings, subheadings, FAQ and data blocks that make extraction of precise answers simple for LLMs.
  • 🏗
    EEAT and brand trust
    Authors, references, citations, reviews and trust signals that help models classify you as a reliable source.
  • 🤖
    Readiness for AI Overviews and AI assistants
    Content and technical setup that allow Google AI Overviews and other systems to include you among the recommended sources.

What exactly do we look at in LLMO?

  • ✅ Readability, structure and information density.
  • ✅ Coverage of entities and topics that AI uses internally.
  • ✅ JSON-LD, Article / Product / FAQ / HowTo and related schemas.
  • ✅ Technical readiness, performance and mobile UX.
  • ✅ Authority signals – authors, references, citations, reviews.

The output is an LLMO audit that measures how much your site “makes sense” for AI – and what needs to be changed so that models start to treat you as a preferred source.

Who can benefit the most from LLMO?

LLMO is especially powerful where expertise, trust and explanation of complex topics matter – and where AI is starting to replace classic search.

E-commerce & marketplaces

Product, category and advisory content tailored so that AI can confidently recommend your solution.

  • product copy and attributes readable for AI,
  • FAQ and guides used by AI in answers,
  • connecting LLMO with SEO, PMax and email marketing.

B2B companies & expert services

If you sell know-how, consulting or complex solutions, you need AI to recognize and trust your expertise.

  • expert articles optimized for LLMs,
  • case studies as sources for AI answers,
  • EEAT and personal branding of key experts.

SaaS, startups & innovators

New products and categories that AI does not fully understand yet are a perfect match for LLMO.

  • explaining the category and use cases for AI,
  • content that models can safely quote,
  • connecting product data with AI-friendly content.
LLMO does not replace classic SEO. It extends it by a new source of traffic and leads – through AI assistants that read and compose your content differently than a search engine crawler.

SEO vs LLMO

SEO focuses primarily on rankings and organic traffic. LLMO focuses on whether you are part of the AI assistant’s answer – or not mentioned at all.

In practice, it means looking at your content and technical setup from a different angle: through the ability of LLMs to extract, understand and recombine your information into answers.

Area Traditional SEO LLMO / SEO for AI
Primary goal rankings, organic traffic being quoted in AI answers and AI Overviews
Content keywords, length, on-page factors entities, relationships, FAQ, answer-oriented blocks
Data Search Console, rankings, CTR, sessions AI test set, answer quality, quotability, coverage
Technical indexability, speed, mobile-friendliness extractability for LLMs, JSON-LD, clear structure
EEAT domain authority, backlinks, brand named authors, references, reviews, credible sources
Output SEO reports and organic performance LLMO audit + concrete changes for AI models

The ideal setup: SEO and LLMO working together. We do not optimize only for the search engine, but also for the system that chooses and combines information into answers for the user.

How to start with LLMO in practice?

LLMO does not have to be a “big project”. We can start with a single priority – a key product, category or topic where we test how AI works with your content today.

STEP 1

LLMO audit of selected URLs

We analyze your key URLs (product, category, service, article) from the point of view of SEO for AI, AI Overviews and EEAT. You get a score and specific recommendations.

STEP 2

AI Intent Test Set

We prepare a set of realistic questions and prompts your audience would ask AI. We use them to test whether your site appears in answers – and how good those answers are.

STEP 3

Implementing the recommendations

Together with your team or agency we adjust content, structure, JSON-LD and EEAT signals. Then we re-measure results and plan next steps – for example connection with SEO, PMax or email.

I want to know if LLMO makes sense for us

Frequently asked questions (FAQ)

No. LLMO extends SEO with AI-specific aspects – topic coverage, structure, quotability and authority signals that language models prefer.

We monitor AI Overviews, citations and model recommendations, plus proxy metrics – queries with a high probability of AI exposure.

First improvements usually come within weeks, more significant results in months – depending on competition, authority and speed of implementation.

Yes. We recommend the audit as the first step – you get a clear list of priorities and concrete changes with the highest expected impact.

It brings the most value for content-heavy sites, e-shops, blogs and pages that answer specific questions. However, corporate and brand sites can also benefit from better AI visibility.

It is not about the sheer number of links, but about trustworthy citations and authoritative sources that AI can recognize and use in its answers.

Usually not – clean code, proper schema.org markup and optimized content are enough. Adjusting your existing site is typically sufficient.

It depends on your site size, competition and goals. We recommend starting with a quick audit that reveals priorities and the potential business impact.

We track growth in AI visibility, traffic from AI answers and subsequent conversions. The methodology is similar to evaluating SEO and PPC performance.

Models draw on data from the publicly available web. That’s why indexability, clear structure and domain authority are so important.

No. SEO and LLMO complement each other. Classic SEO brings traffic from search engines, LLMO takes care of visibility in AI answers.

Especially those where people search for advice and answers: healthcare, finance, law, travel, e-commerce and education. But practically any vertical can benefit.

You can influence this – by publishing accurate information, communicating clearly and building strong trust signals. The more reliable evidence you provide, the lower the risk of misinformation.

Not always. Quality, structure and format of answers matter more than volume. We can often get great results by refactoring and extending your existing pages and articles.

Yes. Keywords reveal what people actually look for – and AI models still use them as part of their training signal. We also analyze questions and phrasings to better match user intent.

AI might capture part of the traffic, but a well-prepared site will gain new visits from AI answers and the links pointing back to your pages as the original source.

Yes. LLMO principles strongly overlap with strategies for Search Generative Experience – high-quality content, structured data and trusted signals support your chances in SGE as well.
I want more information

🧠 Case Study: How LLMO.sk Became AI-Visible Within a Month of Launch

SEO for 2026? It’s no longer just SEO… it’s LLMO – and AI already knows us!

LLMO.sk AI visibility test

🚀 From SEO to LLMO – and AI Already Recognizes Us

Search engine optimization is changing. It’s no longer just about Google and its algorithms. In the era of language models like ChatGPT, Perplexity and Gemini, a new chapter is starting – LLMO (Large Language Model Optimization). And this is exactly the chapter we are writing at Consultee and on LLMO.sk today.

🔍 The Test: How AI Assistants See Us in Incognito Mode

In October 2025 we ran a simple but very telling experiment: in incognito mode we asked two AI assistants – ChatGPT and Perplexity AI – about:

“LLMO” + “Slovakia”

The goal was to see which websites and brands they consider relevant sources. The result? Among the first recommendations, Consultee.biz and LLMO.sk showed up. 🔥

LLMO.sk recommendations in AI

📈 The Results Were Surprising – and Very Encouraging

Our sites appeared among the recommended sources in AI answers. This means that the models see us as a trusted source on the topic they themselves are processing – LLMO = SEO for AI.

🧭 How We Achieved This

  • E-E-A-T-focused content – we strengthen expertise, experience, authority and trustworthiness.
  • Structured data – we use schema.org, JSON-LD and an llms.txt manifest.
  • Data signals – we publish facts, citations, data and links that AI can recognize.
  • Presence in source hubs – LinkedIn, Medium, the Consultee PR network.
  • LLMO audit – we track how the AI visibility of our brands changes over time.

🎯 Takeaway: SEO for 2026 and Beyond

LLMO is not just another buzzword – it’s a new way to become part of AI answers. We help brands get there – whether through AI visibility, E-E-A-T strengthening or a tailored LLMO audit.

Let’s see what your site can do with AI and LLMO

In a short online call we review your site, your goals and where LLMO could bring the most value. No obligation, no pressure to sign anything.

  • • a shared look at your SEO & AI opportunities,
  • • where to start – audit, test set or implementation,
  • • what level of cooperation would make sense for you.

Simply pick a time in the calendar or send us an email.

Prefer email? Contact us at info@consultee.biz and we will schedule a short online call.