GEO doesn’t replace SEO. Discover what really helps you get cited by ChatGPT/Gemini (structure, sources, tracking) and why in-house steering makes the difference.
GEO is showing up everywhere as the “new recipe” to get cited by ChatGPT, Gemini, or Perplexity. It’s tempting: less competition on Google, ready-made answers, brands showing up as sources without necessarily being #1 on a SERP.
But when you talk to SEO practitioners who already have real hindsight (especially in North America, where AI Overviews have been live for longer), the takeaway is far less magical: GEO doesn’t replace SEO. It layers on top of it—with a few specific levers—and, above all, a non-negotiable requirement: steering.
In other words: if your SEO isn’t mastered in-house, your GEO will turn into a series of one-off moves that are hard to sustain, hard to measure, and rarely profitable.
GEO vs SEO: what truly changes (and what doesn’t)
Put simply, SEO helps you get found in search engines. GEO helps you get cited by engines and assistants that generate answers (AI Overviews, ChatGPT, Gemini, Perplexity…).
Yet a large part of the fundamentals stay the same: page clarity, structure, accessibility, semantic consistency, perceived authority—and, most importantly, content that answers real, concrete questions.
Where GEO introduces differences is on two dimensions teams often underestimate.
First, the sources LLMs actually use are not always your “SEO pages.” For many B2B queries like “best agency for X” or “best tool for Y,” assistants heavily rely on third-party platforms: review sites, directories, listings. In practice, it’s common to see an LLM “jump” straight to those reference databases.
Second, GEO queries often live in extreme long tail: highly specific intents with low volume—sometimes not worth targeting in classic SEO. But those are increasingly asked directly to AI assistants, and that’s where the opportunity sits.
GEO isn’t a magic tool: it’s “SEO + sources + formats” (and it must be steered)
What creates the illusion of magic is that you can get citations quickly… without understanding why. GEO is a black box: models evolve, weightings change, results shift.
And on the search-engine side, there still isn’t (yet) an equivalent of detailed “Webmaster Guidelines” for Gemini or Perplexity. Even Google remains cautious and mostly shares fairly general recommendations for optimizing for its AI experiences.
So the real difference isn’t “optimizing for AI” as a gimmick. It’s building a visibility system that holds over time.
Today, that system rests on two very concrete levers.
Pillar #1: become “citable” through authoritative platforms (reviews & listings)
In many markets, LLMs lean on sources that have already done part of the selection work: agency comparison sites, SaaS review platforms, sometimes marketplaces or niche directories.
If you want to be cited when an AI answers “here are the best options,” your brand needs to exist (and be readable) where the AI looks.
The logic is simple: an incomplete profile, no reviews, no clear use cases, stays invisible. A well-structured profile, with detailed reviews, consistent categories, and real proof points, becomes a “ready-to-cite” source.
Not glamorous. Not a hack. But often decisive for comparative queries.
Pillar #2: work on formats that “answer,” not formats that “impress”
Many teams assume GEO rewards long, ultra-expert content. In reality, field feedback often points the other way: LLMs prefer what they can reliably extract.
That means: content that is structured and easy to parse; language that is unambiguous; and key information that’s explicit (not implied).
One counterintuitive insight comes up repeatedly: formal signals matter. For example, clearly showing a “last updated” date and an “written by” field at the top of the page is frequently associated with better reuse (even if the model doesn’t truly “know” the author). The goal isn’t ego, it’s readability and machine-trust cues.
Yes, more aggressive tactics sometimes work temporarily (e.g., spammy listicles). But a serious B2B site doesn’t need to pollute the web to perform – it needs method, proof, and steering.
The real issue: even the best SEO strategy is worthless if it isn’t steered in-house
The most common trap is treating SEO/GEO like a deliverable: you “produce content,” you “optimize,” then you move on.
Performance is built over time: observe what works, fix what doesn’t, consolidate what’s strong. And that steering can’t be 100% outsourced without losing the signal.
Three reasons.
First, good decisions require deep knowledge of your go-to-market: ICP, objections, sales cycles, offers, proof points. Without that, you may write “well,” but you’ll write beside the point.
Second, measurement is changing. With fewer clicks (AI Overviews, direct answers), traffic alone is no longer a sufficient indicator. You need to triangulate signals.
Third, a website is a living product: pages to update, offers to clarify, proof to publish, internal linking to maintain. Without an internal owner, the system degrades.
Writing quality: the next competitive advantage (not the enemy of SEO)
Content production has become too easy. The result: it’s possible to “pollute” the internet with repetitive, interchangeable pages whose only purpose is to tick SEO boxes.
But that logic has an expiration date. As LLMs strengthen their indexing and selection mechanisms, they will naturally favor content that is clear, nuanced, coherent and, above all, human.
As writer Sandy Bratz puts it: “being human is trending.” The challenge is to return to a natural, authentic voice that integrates keywords without losing meaning. In other words, performance doesn’t mean writing “for the algorithm” it means writing to be understood (by a human and by a machine).
The goal is to build content that lasts, reflects real field experience, and remains readable and citable.
”[...] "being human is trending" right now - meaning that there is a refocus to come back to a natural voice for content, even and especially if driven by SEO keywords.
Sandy BrazWriter and Hirondo Member
What North America teaches us (and why it matters)
On GEO, the geographic gap is real. AI Overviews and “AI-first search” behaviors have been present longer in North America, so practitioners have more hindsight on what “surfaces” and what gets cited.
In that context, Clément Hochedez (SEO/GEO specialist based in North America) stresses a simple point: GEO layers on top of SEO and it’s won less through big announcements than through clean execution: structure, sources, formats, and a measurement loop. In a market that’s often less constrained by regulation, experimentation moves faster, creating a natural head start on what works here and now.
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How do you measure whether GEO is working?
Even if GEO is a black box, you can steer it pragmatically.
The simplest method is self-attribution: add a direct question in your forms or sales qualification such as “How did you hear about us?” and treat it as a KPI.
A second method is tracking branded searches (when relevant): when AI cites you, some prospects will look up your name even without clicking.
A third, more advanced approach is analyzing server logs to spot bots connected to LLMs (and understand which pages are being fetched). It’s often the most precise way to move from a hunch (“we think we’re cited”) to a mechanism (“we know what’s reused and why”).
Why Hirondo, if you want AI to find you… and cite you
If you want to be cited by AI, you don’t need a “GEO hack.” You need a system.
A system that clarifies your offer and proof points, consolidates your pages, structures your content, and organizes your off-site signals (reviews, listings) while keeping in-house steering with measurement and iteration loops.
That’s exactly where Hirondo operates: a senior taskforce that can build the backbone (strategy, structure, proof), produce useful content (no filler), and set up steering that survives algorithm and model shifts.
The expected outcome isn’t “more articles.” It’s more useful visibility: citations, more qualified sales conversations, and a compounding content asset.
GEO is real. But the best strategy is to stop treating it like a novelty.
GEO is neither a fad to ignore nor magic to buy. It’s a natural extension of what SEO has always been: making information findable, understandable, and credible, except now, that information is sometimes read and cited by an AI before it’s clicked by a human.
So the best approach is the “boring” one… and the most effective: do clean SEO, steer it in-house, strengthen external sources, and publish structured content that truly answers.
Because in the end, your goal isn’t to be “optimized for AI.” Your goal is to become the reference the AI chooses to cite.
