Search isn’t just search anymore. The rules that worked five years ago don’t hold up in AI-powered environments like ChatGPT, Perplexity, or Google’s AI Overviews. You can still chase rankings if you want, but that’s not the game anymore. GEO agencies understand how generative engines think, how they retrieve and combine data, and what it takes to actually show up in synthetic answers. And if your current agency still talks about meta tags and backlinks like it’s 2015, it might be time to rethink who’s driving your visibility strategy.
Choosing a GEO Agency That Actually Gets It
Most teams still hire agencies the old way – send out a few RFPs, compare who’s cheapest, and pick the one that shows off the shiniest case studies or promises quick wins. That made sense back when SEO meant tweaking keywords and building links. Now it just leads to overpaying for strategies that don’t move the needle.
Look at what’s actually going on in search. ChatGPT alone handles over 2.5 billion prompts a day – and more than 300 million of those come from the US. That’s already closing in on Google’s daily volume, and it’s only growing. People aren’t just typing keywords anymore. They’re asking full questions, combining text, voice, and images – and getting answers without ever clicking through to a website.
If your agency is still talking about “ranking first for your target term,” they’re stuck in a playbook that’s already phasing out. The ones who get it aren’t just tacking “AI” onto their service list. They’re rebuilding visibility from the ground up – based on how today’s generative platforms actually choose what to surface.
The game has changed. You need a partner who can design for relevance inside AI systems, not just search engines.
Why NUOPTIMA Leads in GEO, Not Just Follows
At NUOPTIMA, we don’t just respond to how search is changing – we build ahead of it. Our GEO services were shaped through hands-on research, tested with real clients, and built specifically to help brands embed themselves inside the AI-generated answers that users now rely on. While others are still chasing blue links, we focus on something far more valuable: becoming the source behind the answer.
We position your brand where decisions actually happen – inside ChatGPT, Google’s AI Overviews, and beyond. Our team creates structured, high-authority content designed to be picked up by AI engines and cited confidently. From identifying conversational query patterns to tracking real AI visibility across platforms, everything we do is tied to measurable impact.
You can see how we think, work, and build right here on LinkedIn, where we share real updates, research, and insights – not just polished case studies. Because we believe GEO isn’t a trend. It’s the new baseline.
What the Data Says About AI Search Visibility
Ahrefs ran a deep dive in mid-2025, looking at 1 million queries and nearly 2 million citations pulled into Google’s AI Overviews. The headline stat? Even if your page is sitting at position one in traditional search, it only shows up in the AI Overview about half the time.
The connection between ranking and being cited isn’t as strong as many think. The correlation was just 0.347 – not nothing, but nowhere near reliable. Ranking helps, sure. But clearly, it’s not the only factor at play.
Digging further into the same dataset, 76% of citations in AI Overviews did come from pages already in the top 10. But here’s the curveball: 14.4% of the content cited by AI didn’t even crack the top 100 in search. So yeah, rankings still matter – just not in the way they used to.
Si Quan Ong probably said it best: yes, ranking well still gives you an edge. If you’re sitting high up in search results, you’ve got a better shot at being pulled into AI Overviews. And if you manage to get both – high rankings and citations – then sure, your visibility goes up.
But that’s not the whole picture.
What the data really shows is that traditional SEO might get you in the room, but it won’t guarantee a spot at the table. There’s clearly more going on behind how Google’s AI picks which content to cite – and no one outside the walls of Mountain View has the full formula.
That’s where most agencies get stuck. They either chase rankings with no clue how AI search actually works, or they throw around AI buzzwords without a solid SEO backbone. Few can connect the two – and fewer still can show you how those systems influence each other in practice.
How to Spot a GEO-Capable Agency
So what actually separates a standard SEO shop from a team that’s ready to compete in the AI-driven search era? It’s not just about services listed on a proposal – it’s about how deep they really go.
Start with the technical layer. Can they walk you through how AI decides which content to cite? Do they know how systems fan out queries, retrieve chunks of context-rich information, and stitch together coherent responses? If you mention concepts like passage retrieval or semantic synthesis and they blink – that’s a red flag.
Too many agencies are still playing the old game: stuffing keywords, churning out meta tags, obsessing over backlinks like it’s 2013. It might get you a few vanity rankings, but it’s not going to get you surfaced in AI search results.
The landscape’s shifted. AI has fundamentally changed how people search and how platforms serve answers. If your strategy doesn’t reflect that, you’re behind.
So the real question is this – how do you know if an agency truly understands GEO and isn’t just tossing buzzwords around? There are some clear signs that separate the ones clinging to outdated tactics from those who can build actual relevance in this new ecosystem.
Do They Actually Understand How AI Search Works?
A real GEO agency should be able to break down how modern AI search engines process information – not just throw out buzzwords. For example, when someone types a broad, early-stage question, AI platforms don’t just match it to a page with those exact terms. They explode that query into a bunch of related ones, scan dozens of sources, grab semantically relevant fragments, and stitch together an answer based on context.
That entire process hinges on whether your content is even accessible in the first place. If an AI crawler runs into a wall – like blocked JavaScript or messy rendering issues – it won’t bother digging further. Your content might be technically optimized, but it’ll still be invisible.
This is where technical depth really shows. A capable agency should be reviewing log files, understanding how AI bots interact with your stack, and flagging any weak points. And they need to do that across different architectures – what solves the problem on a simple blog isn’t going to cut it on a React build or an enterprise-level CMS.
Do They Understand How Search Behavior Has Changed?
Search isn’t one-size-fits-all anymore. AI platforms now handle longer, more complex queries – and that shift says a lot about how user behavior is evolving. People aren’t just looking for keywords; they’re asking layered questions, often expecting answers tailored to their context, preferences, and past behavior.
That personalization flips the old rules of visibility. AI responses aren’t static – they adapt based on who’s asking, where they are, what they’ve searched before, and how they typically engage. If an agency isn’t factoring that in, they’re essentially optimizing in the dark.
To navigate this, a GEO-focused agency should be fluent in modern audience research – not just who users are, but how content performs across different user profiles and AI behaviors. They need frameworks that account for these nuances so that content shows up where it matters, even if the path there isn’t linear.
And with traditional rank tracking losing relevance, the way success is measured has to change, too. It’s no longer just about clicks or positions. It’s about how often you’re cited, where your brand shows up in AI answers, and whether you’re building authority in an ecosystem that doesn’t always link back.
Can They Prove It Works?
Don’t settle for generic case studies about traffic bumps or keyword wins. Ask to see actual examples where they’ve optimized content for AI visibility – not just for search engines, but for systems like ChatGPT, Perplexity, and Google’s AI Overviews.
What you want is proof: content that once got ignored by AI, and now shows up consistently across platforms. Before-and-after snapshots. Examples that show they understand how to structure, surface, and fine-tune content so it gets cited where it counts.
If they talk about GEO like it’s just another service line, that’s not enough. You need to see whether they’ve internalized the core principles – relevance engineering, retrievability, citation-worthiness – and built strategies that actually move the needle. Real GEO partners don’t just talk theory. They can show the receipts.
What GEO Work Actually Looks Like in Practice
You’ll know you’re dealing with a real GEO agency when the work starts looking less like blog farming and more like content engineering.
- They restructure content into clean, semantic blocks – not just paragraphs for humans, but units AI can reliably read, interpret, and extract. Think clear relationships between subject, action, and object. Not just pretty copy, but machine-digestible logic.
- They go way beyond basic schema markup. These teams know how to shape content for knowledge graphs, entity associations, and cross-topic linking – which helps AI systems connect the dots and see your brand as a reliable source.
- They also build for “fraggles” – those bite-sized passages AI tends to quote. Each section stands on its own, but still fits the larger narrative. That modularity is intentional. It’s what makes your content retrievable and citation-worthy.
- And they track all of it – not just Google rankings or traffic, but how your content shows up across ChatGPT, Perplexity, Claude, and Google’s AI Overviews. Because if you can’t see where you’re being cited, you’re flying blind.
Are They Built for a Multi-Platform Search World?
Let’s be honest – search isn’t just about Google anymore. Generative platforms are rapidly carving out their own space in the discovery funnel. According to SE Ranking, traffic coming from ChatGPT and Perplexity has hit 0.13% globally – that’s already 4x higher than it was last year.
And here’s the kicker: ChatGPT on its own now drives 0.11% of all global traffic. That puts it in the same league as some legacy search engines, even edging out names like AOL and Qwant. So if your agency is only optimizing for traditional search, they’re already leaving reach on the table.
This spike in traffic isn’t random – it reflects how each AI platform caters to a different type of user intent.
- Perplexity tends to attract users looking for deep, well-researched answers. Think: citations, long-form breakdowns, the kind of stuff you’d expect from a research assistant.
- ChatGPT? It’s more of an ongoing dialogue. Users ask follow-up questions, refine their prompts, and build context over time. It’s less about instant answers and more about conversation flow.
- Then there’s Google’s AI Overviews – built for speed. These are the people who want fast, clear, no-fluff answers right at the top of the page.
It’s not only user behavior that varies – each AI platform has its own way of picking which content gets surfaced. And if you’re not tailoring for that, you’re likely missing the mark.
- Perplexity leans heavily on recency and credibility. It likes content that’s up-to-date, properly cited, and clearly sourced.
- ChatGPT tends to pull from content that’s semantically tight and thoroughly covers a topic. Coherence and depth matter here.
- Google’s AI Overviews prioritize content from domains with strong reputations and well-established entities – they’re looking for authority signals baked into the structure.
- Google’s AI Mode goes even deeper, assembling responses by tracing reasoning chains and matching across multiple variations of a query.
Understanding those differences is the baseline. Optimizing for them? That’s the work.
Do They Really Get the Tech Behind GEO? Start Asking Smarter Questions
You can usually spot the gap between a typical SEO agency and a true GEO partner the moment you start digging into the tech. It’s not about buzzwords – it’s about whether they understand how today’s AI systems actually work under the hood.
Let’s start with RAG – Retrieval-Augmented Generation.
If an agency can’t explain it clearly, walk away.
Any GEO-ready team should be fluent in how RAG works. This is the mechanism that powers how AI models grab content: user queries get converted into vectors, those vectors scan document collections, and the most relevant passages get pulled into responses. If your content isn’t structured to be retrievable in that process, it won’t be cited – no matter how “optimized” it looks.
An agency worth your time will know that RAG is changing the rules of SEO entirely. It’s not just about keywords anymore – it’s about context, structure, and how well your content holds up inside semantic retrieval pipelines. They should be able to show how that shift impacts your hierarchy, your internal linking, and the way your content gets surfaced across AI tools.
Do They Have a Real Embedding Strategy or Just Talk About Vectors?
This is where a lot of agencies start bluffing. Ask them how they handle vector search – not just whether they’ve heard of it, but how they actually optimize content to perform in that high-dimensional semantic space.
- Here’s the deal: Vector embeddings are how AI systems understand meaning. They take your content, turn it into mathematical representations, and place it in a space where “closer” means “more semantically related.” If your content doesn’t sit near relevant queries in that space, it’s basically invisible.
The agencies that know what they’re doing can explain things like cosine similarity, vector distance, and what makes a piece of content retrievable under those systems. They’re not guessing – they’re building strategies that help your content show up because it’s mathematically aligned with what the AI is trying to answer.
If they can’t walk you through how they approach embeddings, they’re probably still stuck in keyword mode.
Can They Actually Engineer Prompts – or Just Talk a Good Game?
Here’s one of the clearest ways to separate agencies that work with AI from those that just drop “LLM” into a deck: ask about prompt engineering.
What’s their process for figuring out how AI systems read and respond to your content? Can they show you how they test prompts, map output behavior, and tweak structures based on what actually gets cited? If the answer is vague, they’re not doing the work.
GEO-ready teams actively run prompt tests. They reverse-engineer what AI platforms prioritize. They look at response patterns, iterate based on that data, and adjust content accordingly – without breaking brand tone or message.
They also understand that what works for one platform won’t necessarily land on another. ChatGPT, Perplexity, Claude – each one prefers different content structures and formats. A serious agency builds with those nuances in mind and optimizes across platforms, not just for one AI’s quirks.
Do They Know How GEO Fits Into the Bigger Picture?
GEO isn’t just a technical layer you bolt onto your existing SEO. It’s a fundamental shift in how visibility and brand authority get built – and it has to tie into your larger marketing strategy.
A serious agency should be able to explain exactly how they weave GEO into broader business goals. How do they balance generative engine optimization with traditional search work? How do they prioritize visibility in zero-click environments where brand recognition often matters more than chasing conversions?
And beyond strategy, can they actually collaborate across departments?
- With product teams, do they align content with new features and positioning?
- For advertising, can they build GEO insights into awareness campaigns?
- With sales, are they surfacing content that strengthens competitive messaging?
- In PR and content, do they support thought leadership that AI systems actually cite?
- And even with HR, can they help manage brand perception through things like review visibility?
Is Their Content Strategy Built for AI Synthesis – or Just Search Engines?
AI platforms don’t just grab content – they blend it. GEO content needs to be built for synthesis: the way systems like ChatGPT or Claude pull together fragments from different sources to create cohesive answers.
If you’re vetting an agency, ask them real questions about how they handle that.
- How do they structure content so it makes sense to an AI, without losing human readability?
- Can their content be easily combined with other sources – or is it locked into long, rigid formats?
- Are they designing modular sections that can be lifted, referenced, or stitched into AI-generated responses?
- Do they track how often their content is showing up in synthesized outputs across platforms?
- And do they have a clear method for making content citation-worthy – not just informative, but AI-preferred?
This isn’t just about writing well. It’s about writing in a way that works inside systems built to mix, match, and reformat.
Smart agencies also know: what works for ChatGPT may totally miss with Perplexity or Claude. The best ones don’t try to force one structure across everything – they optimize differently for each platform, without compromising brand consistency.
Spotting the Red Flags From a Mile Away
Sometimes, the problem isn’t what an agency offers – it’s what they’re still clinging to.
“We guarantee first-page rankings”
If you hear this phrase – that’s your cue to walk. Fast.
Here’s the reality: rankings just don’t mean what they used to. AI systems now personalize results based on who’s searching, where they are, what they’ve clicked on before – and they often surface answers without showing traditional search listings at all.
So when an agency promises you fixed positions on page one, they’re either out of touch or overselling. Either way, it’s not a good sign. Instead of chasing old metrics, the focus needs to shift to things like semantic authority and visibility inside AI-generated responses. That’s what actually drives discoverability now.
Outdated Content Strategies Still Lurking? Time to Move On
If an agency is still pushing out endless blog posts built around keyword lists, that’s a clear sign they haven’t kept up.
Old-school content marketing was all about volume – publish more, target every variation of a phrase, hope something sticks. But that shotgun approach doesn’t land in today’s AI-driven landscape.
AI systems are looking for something else entirely: tight structure, factual depth, and actual insight. They evaluate whether content makes sense semantically and whether it can be trusted and reused across contexts.
GEO isn’t about churning out content. It’s about building high-precision, context-aware assets that AI tools can parse, extract from, and cite with confidence. Every word needs to earn its place.
Still Measuring Like It’s 2015? That’s a Problem
If an agency’s reporting is all traffic, rankings, and bounce rates – they’re not seeing the full picture anymore.
We’re in a zero-click world now. People ask questions, get AI-generated answers, and never visit a site. AI citations might drive awareness, build trust, and even influence buying decisions – without a single click showing up in your analytics.
Agencies that don’t account for this shift are giving you an outdated snapshot of performance.
The right ones go deeper. They track how often your content is cited by AI, where your brand shows up across platforms, and how consistent that visibility is. Because sometimes, being the source behind the answer matters more than being the link beneath it.
What the Best GEO Agencies Actually Do Differently
The teams that are thriving in this new landscape don’t just tweak old SEO tactics. They’ve completely rethought how they approach optimization, performance tracking, and strategy from the ground up – because the game isn’t the same anymore.
They Build Systems, Not Just Pages
The best GEO agencies don’t treat content like a checklist of isolated pieces. They build ecosystems – structured, interlinked assets that work together to signal depth, authority, and relevance across topics.
They know how to cluster content around key themes so that AI systems can connect the dots. It’s not just about what’s on the page – it’s how that page fits into the broader structure, how it supports related topics, and how it reinforces your position in the space.
If you’re evaluating a partner, ask them:
- How do they organize content to build semantic authority?
- What’s their method for connecting pieces across different AI platforms without diluting focus?
Because when content is built as a system, it doesn’t just rank – it gets remembered.
They Know the Tech – and How to Use It
Real GEO agencies aren’t just tossing around AI terms to sound smart. They understand what’s actually going on behind the scenes – vector embeddings, semantic similarity, clustering models, retrieval mechanics. Not just the buzzwords, but how content gets mapped, measured, and surfaced.
More importantly, they don’t stop at the theory. They know how to turn all that technical depth into real strategy – the kind that drives measurable visibility, citations, and revenue.
It’s not about overwhelming you with jargon. It’s about building the bridge between how AI works and what your business needs from it.
It’s Not Just GEO – It’s How GEO Fits Into Everything Else
GEO isn’t some siloed side project. The best agencies get that. They know how to fold generative search optimization into the rest of your marketing machine – not treat it like a separate experiment.
That means aligning GEO with:
- Your existing SEO and content playbook
- Digital PR and earned media efforts
- Social and community-driven visibility
- Technical SEO at the enterprise level
- Your brand positioning as a whole
A strong GEO partner can connect all of this – and show you where the overlaps create compounding impact. They’re not just optimizing content for AI visibility. They’re making sure it supports the bigger picture: brand relevance, discoverability, and business growth.
Let’s Be Honest – This Isn’t Optional Anymore
Here’s the real takeaway: The smartest agencies – the ones paying attention – are already building for a future where search results look nothing like what we’ve known. No blue links, no traditional rankings – just AI systems delivering direct answers, and doing it fast.
They’re not just adjusting. They’re designing for what comes next – creating strategies that still work when the interface changes and the old metrics stop mattering.
At this point, it’s not a question of if you need to adapt. That moment’s passed.
The real decision now is who you’re going to trust to help you navigate this shift: a team that understands how the entire ecosystem is changing – or one that’s still clinging to page-one promises while the search landscape moves on without them.
FAQ
A GEO agency isn’t just tweaking titles and chasing rankings. They’re building content for how AI systems retrieve, interpret, and synthesize information – which is a completely different challenge. Think less about keywords, more about semantic structure, retrievability, and multi-platform visibility. It’s a shift from optimizing for humans who click, to optimizing for machines that decide what gets shown in the first place.
It’s not hype – it’s already happening. AI platforms like ChatGPT, Perplexity, and Google’s AI Overviews are reshaping how people find and trust information. You don’t always see a list of links anymore; you get a direct answer. If your content isn’t being cited or pulled into those responses, you’re effectively invisible – no matter how high you rank in traditional search.
It’s not either-or. Strong SEO fundamentals still matter – you need crawlable sites, structured content, and clean architecture. But GEO builds on top of that. It brings in things like vector search, entity optimization, and AI-friendly formatting. So the foundation stays, but the playbook expands – because you’re no longer optimizing for people alone.
That’s the tricky part – and why outdated reporting doesn’t cut it anymore. GEO performance is tracked through things like AI citations, brand mentions inside AI-generated answers, and retrievability across platforms. It’s less about traffic spikes and more about being part of the conversation when AI is shaping the answer.
Honestly, smaller teams have a real advantage here – they can pivot faster. You don’t need a massive budget to start showing up in AI results. What you do need is the right strategy, the right structure, and someone who knows how to engineer content for systems, not just for screens.
