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Pythia Works

GEO AI search Practical guide

How to prepare your site for AI search: a practical guide

A practical, step-by-step guide to preparing your business's website to be correctly read by AI tools like ChatGPT, Claude, and Google AI Overviews.

, 5 min read

In our previous article, we explained what GEO is and why SEO alone isn’t enough anymore. If you haven’t read it, it’s worth two minutes: it lays the theoretical groundwork for what follows here.

This article is different: it doesn’t explain the “why,” it shows the “how.” Concrete, actionable steps you can start applying to your business’s site today, whether you manage it yourself or hand instructions to a developer.

Step 1: Write clear, factual content that answers directly

AI systems don’t have the time (or, more accurately, the reason) to dig through long introductions to find an answer. If someone asks an AI “What are store X’s hours in Limassol?” or “Does business Y deliver outside Nicosia?”, the AI wants a clear, direct answer, not two paragraphs of marketing copy before it gets to the point.

In practice: on every important page (services, contact, FAQ), put the essential information high up and clearly: hours, location, exactly what you offer, basic pricing if relevant. Marketing copy can stay, just not in front of the core information.

Step 2: Add structured data (schema markup)

Structured data (or schema markup) is, roughly, “labels” inside your page’s code that explicitly explain what each piece of information is: “this is the business name,” “this is a service,” “these are the FAQ questions and answers.” It uses a shared “vocabulary” (schema.org) that both search engines and AI systems understand.

The most useful types for a small or medium business:

  • Organization: core business details (name, address, contact info)
  • Product / Service: what you sell or offer
  • FAQPage: your questions and answers, in a format AI systems read directly

You don’t need to write it from scratch: if your site runs on WooCommerce, Shopify, or a similar platform, there are often ready-made plugins. Otherwise, ask your developer or agency; it’s usually a few hours of work, not a whole project.

In practice, structured data is what lets an AI confidently answer “Yes, business X offers Y, is located in Z, and is open from A to B”, instead of avoiding the answer because it isn’t quite sure what it read.

Step 3: Build FAQ pages or sections

FAQ pages are almost perfect “food” for AI systems, because they’re already in the exact format their users ask for: question → answer. When someone asks an AI something related to your business, a well-written FAQ section significantly increases the odds your answer gets used.

In practice: collect the 8-10 questions your customers actually ask you (phone, email, social media, you’ll find them easily) and write clear, concise answers. Avoid vague phrasing: the more specific the answer, the more useful it is.

Step 4: Keep your information consistent everywhere (NAP)

NAP stands for Name, Address, Phone. AI systems (like search engines) cross-check information from multiple sources to decide how much to trust you. If your business name is written differently on your site, your Google Business Profile, and Facebook, or if the address has small discrepancies, that reduces trust, even if the mistake seems minor to you.

In practice: check that your name, address, phone number, and core services are exactly the same across your site, Google Business Profile, social media, and any business directory listings.

Step 5: Add an llms.txt file

llms.txt is a simple text file at the root of your site (e.g. pythiaworks.com/llms.txt), written specifically so AI systems can quickly understand who you are, what you offer, and where you’re based, without having to “read” your entire site to piece it together themselves. It’s a very quick addition with real value.

Step 6: Take care of speed and clean, semantic HTML

A slow site, or one that only loads its actual content through heavy JavaScript, creates a problem: many AI crawlers simply don’t wait for all that JavaScript to run, and may never see your real content. A fast site with a clean structure (correct headings, semantic HTML5 elements) is easier to read correctly, for AI systems and humans alike.

Step 7: Build presence on trusted external sources

Customer reviews, listings in industry directories, mentions on other sites: all of these act as “confirmation” that you genuinely exist and that you’re trustworthy. AI systems give more weight to businesses that appear consistently across multiple sources, not just their own site.

In practice: actively ask happy customers for reviews on your Google Business Profile, list your business in relevant directories for your industry (local business directories in Cyprus or Greece, for instance), and don’t dismiss small mentions: a write-up on a local site or a post in a Facebook group all add to your overall credibility picture.

Common mistakes to avoid

  • Content hidden behind heavy JavaScript: if your actual text only loads after complex client-side rendering, many AI crawlers won’t see it at all.
  • Inconsistent information: a different name, phone number, or address across different platforms.
  • Keyword stuffing: unnatural repetition of keywords “for SEO.” This doesn’t help with AI systems. Natural, clear writing reads and interprets better.

Where to start

If all of this feels like a lot, start with what gives the most value for the least effort:

  1. Build or improve your FAQ page: no technical knowledge needed, just clear writing.
  2. Check NAP consistency across your site, Google Business Profile, and social media.
  3. Add an llms.txt file: quick, low-cost, real value.
  4. Ask for structured data (JSON-LD) from your developer or agency, if it isn’t there already.
  5. Check your site’s speed and structure: this takes a bit more technical work, but pays off over time.

It’s not optional anymore

Preparing your site for AI search isn’t a “nice to have”: it’s the natural next step after classic SEO, for an audience that increasingly asks AI tools instead of searching.

If you’d like help implementing all of this without figuring it out alone, at Pythia Works this is exactly what we do: SEO/GEO audits and practical improvements for small and medium businesses. Get in touch if you’d like to see where your site stands today.

Frequently asked questions

Do I need a completely new site to apply these steps?

No. Most of these steps (FAQ content, consistent business info, llms.txt) apply on top of your existing site, no redesign needed.

Which step has the biggest impact for the least effort?

Usually a good FAQ page and a consistency check on your business info (NAP). Both can be done in a few hours, no developer required.

Do I need a developer for all of these steps?

Not for all of them. FAQ content and the NAP consistency check you can do yourself. Structured data (JSON-LD) and speed improvements usually need a developer or agency.

How often should I check this information?

It's good to check NAP consistency once or twice a year. Update your FAQ content whenever something meaningful changes: hours, services, prices.

What is worth changing first on your own site

Send us your site's address. We take a look and tell you where to start.

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