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How Airfleet’s Approach to GEO for B2B Tech Differs From Other Agencies
Most agencies treat GEO as SEO for AI. See how Airfleet approaches GEO for B2B tech across three disciplines, plus the in-house tools it built to run it.
Quick Jump
Airfleet has built thousands of B2B technology websites, and GEO (generative engine optimization) is one of the disciplines that make a brand digitally prominent. If you’re evaluating GEO agencies, this is a straightforward explanation of how Airfleet’s approach is different.
TL;DR
- Most agencies do one of two things: run their old SEO process for LLMs, or ride the GEO hype with a prompt-monitoring tool. Airfleet does neither.
- Airfleet sees GEO and SEO as having the same goal: being found wherever buyers search, whether the visitor is a person or an AI.
- Three things decide whether you show up on LLM tools: a technical foundation crawlers and people can reach, content that targets your persona, and third-party signals you own.
- To run this at scale, Airfleet built its own tooling: an AI content pipeline, an in-house AI visibility platform, and an AI middleware layer that serves clean content to AI.
- AI is built into how the Airfleet team works day-to-day, not treated as a side experiment.
Most Agencies Treat GEO as a Relabeled SEO Playbook
Ask how agencies approach GEO and you tend to get one of two answers.
You can see two types of agencies nowadays in terms of GEO. One agency is like, okay, we’ve done SEO and now we need to do GEO, so we’re just doing SEO for LLMs. And then the other agencies, those are new agencies. They never did SEO, but they went on this GEO hype. A lot of the times they will just use a prompt monitoring platform and try to influence the AI from there.
The first group knows search but assumes AI is just another crawler that operates on the same principles. The second group knows that AI works differently but skips the technical and content fundamentals that make you eligible to appear in it.
The gap in both is the same: GEO gets treated as a single tactic instead of the systemic approach it should be.
For Airfleet, GEO and SEO Have the Same Goal: Being Found Wherever Buyers Search
We see it as search everywhere. It doesn’t matter who, if it’s a human or AI, or where, if it’s Google, YouTube, or the AI platform. You need to understand the combining factors for all of these sources, and then what marketing initiatives can actually move the needle.
That framing matters for a B2B buyer journey, where the same person might read a Google result, watch a YouTube walkthrough, and ask ChatGPT to compare vendors in a single afternoon. Optimizing for one type of search and ignoring the others leaves pipeline on the table. At Airfleet, we understand the nuances and tailor our approach accordingly.
Three Things Decide Whether You Get Found By LLMs
Underneath the “search everywhere” idea are three aspects Airfleet builds every GEO program on.
Technical Foundation
If your website is not accessible for Googlebots or crawlers or humans, then no one will get to read or see any of your stuff.
Your website needs clean information architecture, content that follows a pattern AI can read, and technical setup on the back end for bots to make the most of your website.
Content
You can have the most accessible and technically sound website, but then have nothing worth reading.
The goal should be creating content that does something meaningful for your buyer persona, not content for its own sake.
Third-Party Signals
This is the part in-house teams tend to underinvest in. Airfleet measures third-party as backlinks and brand mentions, which help AI platforms understand your brand and its context, plus the profiles you actually own. That means G2, Capterra, PeerSpot and other review sites, your Google Business Profile, Wikipedia, and channels like YouTube, which Airfleet treats as its own search engine and a source that Google and LLMs pull from.
Airfleet Built Its Own Tooling to Run GEO at Scale
When Airfleet finds a process that works, the aim is to automate it, which sometimes means building a tool to support clients at scale.
The first build was an AI content pipeline. The goal was content that earns its place, not filler:
The idea was to generate content that’s not just AI slop, but content that’s on brand, authentic, and unique.
A lot of that is repurposing a single interview video featuring a client expert. One source asset, like the interview this write-up is based on, becomes blog posts, social posts, how-to guides, and opinion pieces. The pipeline also couples content with SEO, analyzing the SERP and topic clusters and keeping internal and external linking solid, so the team’s time goes to strategy instead of manual production.
The second build addressed measurement. Off-the-shelf prompt-monitoring tools were fine at small volumes, but they broke down at the scale Airfleet wanted:
If you really want to understand a complete industry, you need thousands and thousands of prompts across different categories, customers, companies, and regions to understand what really moves the needle. So we decided to build our own AI visibility platform.
Owning that tooling means Airfleet can track what AI answers actually say, and what sources shape them, without paying more every time it adds a prompt.
A Translation Layer That Gives AI a Cleaner Version of Your Content Without Turning Away Human Visitors
The newest build is the one that best shows the difference in approach. AI systems and human readers want different things from a page. People need the storytelling and the hook. An AI agent just needs the facts, structured well, and served fast.
Trying to satisfy both from one page usually means compromising one of them. Airfleet’s answer is to stop compromising:
We created this middle layer, what I call the translation layer for AI. We take the human content and strip down all of the signals that are mainly used for humans, everything that’s storytelling. We strip the images, because AI doesn’t actually see them.
What the AI gets instead is a clean markdown version with the same essence as the human page, no HTML to parse, served from the CDN layer. That last detail is the point:
It’s much faster than any website rendering for AI. If it’s very quick for the AI to get the answer it’s looking for on your website, you’ll probably have better chances of being mentioned in the AI answer.
Speed becomes a citation factor. A slow, heavy HTML page takes longer for an AI to parse and reply from. A fast, structured feed improves the odds your brand shows up in the answer, and the human page keeps its narrative and its conversion path intact.
AI Is Integrated With How Airfleet Works
The tooling reflects a wider habit. Elad’s way of keeping the team current is to lead by using AI himself, on real work.
I personally use mostly Claude Code and ChatGPT, and Codex is my go-to for pretty much everything.
When he builds a proposal, the context is already loaded: the offering, his tone of voice, the customer and their company. That sets the example for the team to use AI daily, not only to generate but to brainstorm and to streamline ongoing operations. His framing keeps it grounded:
Everything you do is supported by AI or driven by AI. It’s not changing or taking any roles. It’s about streamlining our daily operations.
For a client, that is the difference between an agency experimenting with AI on the side and one whose delivery is built on it.
GEO Is a Discipline, Not a Bolt On to an Existing Playbook
The through-line is simple. If GEO is a dashboard you check, you’re monitoring the AI answer without changing your eligibility to appear in it. If GEO is a discipline, you’re building the technical foundation, the content, and the third-party signals that decide whether you show up, and you’re serving each audience, human and AI, what it actually needs.
That is the line Airfleet works on. Not SEO with a new label, and not hype with a monitoring tool, but a system built to get B2B tech companies found wherever their buyers are searching. If you want to see what that looks like applied to your site, that is the conversation to have.
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