How to Optimize for Google AI Overviews Without Guessing

I have spent the last 12 years looking at pitch decks across Europe and Central Asia. I’ve https://stateofseo.com/how-do-you-optimize-for-google-ai-overviews-without-guessing/ https://stateofseo.com/how-do-you-optimize-for-google-ai-overviews-without-guessing/ sat in boardrooms in Berlin, coworking spaces in Tbilisi, and virtual meetings in London. If I had a euro for every time an agency told me they were "AI-native" without showing me a single line of code or a proprietary model, I would have retired years ago.

Most agencies are currently treating "Google AI Overviews SEO" like a bolt-on feature. They slap a ChatGPT subscription on their overhead, call it a "content acceleration service," and promise you the moon. As a founder or head of marketing, you are likely exhausted by the vague promises. You want results. You want evidence. And frankly, you should be skeptical.
The Buzzword Bingo: Why Most "AI SEO" Claims Fail
Before we get into the "how," let’s clear the air. My desk is currently covered in a list of phrases that trigger an immediate red flag. If your agency uses these, ask for a refund on your time:
"Synergistic AI-driven growth" "Holistic paradigm shift in search intent" "360-degree search ecosystem optimization" "Proprietary AI-powered SEO suite" (without a name or a patent)
Real SEO for AI Overviews is not about "synergy." It is about engineering your data so that Large Language Models (LLMs) can digest, interpret, and trust your content as a source of truth.
AI SEO: Core Service vs. Bolt-on
There is a massive difference between an agency that uses AI to write blog posts and an agency that treats AI as a foundational infrastructure. A "bolt-on" agency is a liability. They use AI to churn out generic content, which only serves to dilute your domain authority.

A core-service agency approaches AI Overviews with the assumption that your content must exist in a structured, crawlable, and authoritative format before the AI ever sees it. This is where companies like Found differentiate themselves. They don’t treat AI as a content generator; they treat it as an engine to be optimized for. By leveraging the Everysearch framework, they move beyond the "keyword stuffing" era and into the realm of entity optimization.
The Role of Proprietary Tooling
If an agency claims to do AI SEO but relies solely on Semrush or Ahrefs, they are playing the game of 2018. To compete in the era of Google AI Overviews, you need visibility into how models actually perceive your site. The Luminr proprietary AI tool (used by Found) is a prime example of why evidence-based ranking works. It allows you to see the "gap" between where you are and where the model needs you to be to get cited in an answer.
Moving from Keywords to Entities
If you are still obsessing over keyword density, you have already lost. Google’s AI Overviews—and Generative Engine Optimization (GEO)—rely on "entity optimization." The goal is for Google’s Knowledge Graph to identify your brand as an entity with specific expertise, relationships, and verified facts.
How to Execute Entity Optimization Define your entities: What is your brand? Who are the people behind it? What products/services do you offer? Use schema markup to define these relationships. Clean up your technical foundation: If your structured data is broken, your content will be invisible to AI summaries. Authoritativeness (E-E-A-T): Your content must be backed by evidence. If you make a claim, link to a data source or a peer-reviewed study. LLMs look for citation-worthy information. Evidence-Based Ranking: The Only Metric That Matters
I am tired of looking at case studies that say "Improved traffic by 40%" without explaining the *how* or defining the *attribution model*. If an agency cannot show you a clear, quantified outcome—like a lift in specific high-value AI Overview inclusions—they are just guessing.

Agencies like move:elevator and Four Dots have demonstrated that when you move away from vanity metrics and focus on measurable search outcomes, the results are much more consistent. However, always dig into their reporting. If a case study lacks specific numbers or baseline comparisons, disregard it. You are looking for proof that they didn't just get lucky with a core algorithm update.
Comparing Traditional SEO vs. AI-Ready SEO Feature Traditional SEO AI-Ready SEO (GEO) Targeting Keywords Entities & Concepts Formatting Long-form text Structured data & modular content Goal Click-through rate (CTR) Direct Answer Inclusion Tooling Keyword trackers Model visibility & intent mapping Structured Data is Your Best Friend
I cannot stress this enough: structured data is the language https://dibz.me/blog/best-ai-seo-agencies-in-serbia-is-four-dots-the-top-pick-1120 of the machine. If you want Google to trust your content for an AI Overview, you have to serve it on a silver platter.

Think of structured data as the "labeling" for your website. It tells the AI: "This is a price, this is a product feature, this is a customer testimonial, and this is a scientific study." Without this, the AI is effectively guessing the context of your page. Why would you want a trillion-dollar model to guess what you do when you can explicitly tell it?
The "No-Guessing" Checklist for Founders
Before you sign a contract with an agency promising "AI Optimization," demand answers to these three questions:
What is your technical stack for entity mapping? If they say "we use GPT," run. How do you measure success in AI Overviews? If they don't mention tracking specific query inclusions or "position zero" stability, they aren't equipped for the current landscape. Can you explain your structured data deployment strategy? If they can’t explain how to use JSON-LD to define your business entities, they don't understand the foundational requirements of GEO. Final Thoughts: Stop Chasing Algorithms
The biggest mistake I see founders make is trying to "hack" the AI. You cannot hack a probabilistic model with a black-hat tactic. You have to provide value that is so clear, so structured, and so authoritative that the machine finds it impossible to ignore.

Whether you work with a firm like Found, move:elevator, or Four Dots, make sure the focus remains on evidence. Ask to see the raw data. Ask to see the logic behind their content clusters. And if someone promises you "instant rankings" in ChatGPT or Google AI Overviews, politely thank them for their time and close the deck. There is no such thing as an "instant" outcome in SEO; there is only diligent, iterative, and data-backed engineering.

SEO isn't dead—it just grew up. It’s time you demanded an agency that grew up with it.