Wherefore art thou, GEO? What do you do when everyone is waiting for your AI search strategy to arrive?
It is 9 a.m. on a Tuesday. You have a standing meeting with three executives in two hours, and you are staring at a dashboard that is not doing what you need it to do.
You did everything right. You restructured the content. You added schema markup. You wrote the brief that nobody read, but everyone approved. Now you are sitting at your desk watching a chart that once showed a five percent lift dissolve into a three percent decline, refreshing a graph that does not seem to show any consistent trend.
“O GEO, GEO — wherefore art thou, GEO?”
Here is what I want you to know before that meeting: you are not failing. You are waiting. And there is a difference—one that is worth understanding before you walk into that room.
If you need the numbers first: Answer engine optimization (AEO) often moves in about two to ten weeks when you are making existing expertise machine-legible. Generative engine optimization (GEO) is usually closer to one to three months on a good day—and longer if you are changing perception, not introducing a new story. Traditional SEO still settles on a roughly one-to-six-month horizon for meaningful movement, depending on scope and competition. None of that is magic; it is physics.
The timeline problem, honestly
For years, the standard SEO answer to “when will we see results?” was “three to six months.” Leadership would groan. We would nod and say it could happen faster, knowing full well it would not. The results would arrive around week ten, more or less on schedule, and we would all pretend it was a pleasant surprise.
The AI era has compressed some of that timeline—but not across the board, and not magically. AEO, GEO, and SEO each move at different speeds, and for different reasons. Here is what you can expect depending on which one you are waiting on, and how you explain what is behind those dashboards to executives.
When can you expect AEO results?
Answer engine optimization is the most immediately actionable of the three. The goal is simple: make your content easy for AI systems to extract, summarize, and cite. Direct answers near the top of pages. Clear FAQ sections. Schema markup where it is warranted. You are not only writing for a human reader who scrolls—you are writing for a machine that wants to pull a clean answer and move on.
The payoff comes faster than anything else in this space—two to ten weeks is a realistic window. That is because AEO does not require building new authority; it requires making your existing authority legible to machines. If you have been doing solid content work, you are already closer than you think.
When can you expect GEO results?
This is where the balcony scene gets complicated. Generative engine optimization is about earning brand mentions and citations in AI-generated responses—and between 80 and 90 percent of those mentions come from third-party sources, not your own site.
Which means the work is mostly happening off your property. Press coverage. Backlinks from credible sources. Your subject matter experts answering real questions on Reddit—not your social team with a branded account. An accurate Wikipedia page. G2 and TrustRadius reviews that reflect what you actually do.
What AI systems say about your brand depends on what the rest of the internet is saying first. That is a one-to-three-month timeline on a good day, and longer if you are trying to change an existing perception rather than establish a new one.
A well-maintained llms.txt file is a starting point. It is not a reputation.
Does SEO still matter?
Traditional SEO is not dead—it is just no longer the only conversation. Several major AI systems, including Google’s AI Overviews and Gemini, still rely on traditional search signals to inform what they surface. Good content, authoritative sites, and a product people actually talk about still matter. The fundamentals did not disappear. They became the floor.
The timeline has compressed slightly—I have seen meaningful improvements in the one-to-two-month range for well-targeted content. AI Overviews in particular can surface long-tail results in as little as a week. But the full picture still takes time. The three-to-six-month window has not vanished; it is just no longer the only timeline you are managing.
Before you walk into that meeting
The dashboard will not tell the whole story. It never does. What it can tell you is which lever you are pulling—and that is actually the most useful thing to bring into a room full of executives who want the graph to move.
AEO for speed. GEO for brand. SEO as the foundation neither of the others can replace. If you know which one you are waiting on and why, you can explain the gap between expectation and dashboard with something better than a shrug.
GEO will show up. The question is whether you have given it what it needs to find you. Drop a comment if you are working through this—and be honest about where you are. When your GEO finally shows up, we can only hope it has a better ending than after Juliet found her Romeo.
Fair warning: I expect this post to be significantly outdated in about three months. That is not a caveat. That is just the landscape we are all working in right now.
How has your AI search strategy been going—any new trends? Feel free to drop a comment below.
More to come in this series; I will be posting about AEO on a steady cadence. Subscribe below to keep up to date.
Frequently asked questions
- How long does AEO (answer engine optimization) take to show results?
- Most teams can see meaningful movement in about two to ten weeks. AEO is about making existing authority legible to machines—clear answers up top, tight FAQ sections, and schema where it is warranted—so you are not waiting for new domain authority to accumulate the way you often do with traditional link building.
- How long does GEO (generative engine optimization) take?
- Plan for roughly one to three months on a focused program when you are establishing a new narrative, and longer when you are trying to reverse an entrenched perception. GEO depends heavily on what third-party sources say about you—press, credible backlinks, expert participation in real communities, reviews, and accurate profiles—not only what you publish on your own site.
- Why is GEO slower than AEO?
- Roughly 80 to 90 percent of brand mentions in many AI-generated answers trace to third-party sources, not your homepage. AEO improves how systems extract and cite what you already control. GEO requires the broader web to reflect the story you want told, which takes outreach, consistency, and time.
- Does traditional SEO still matter for AI search?
- Yes. Major AI-augmented search experiences still lean on classic signals—strong content, site authority, and real-world reputation. Think of SEO as the floor: it supports both AEO (structure and clarity) and GEO (what the ecosystem repeats about you).
- What should I tell executives when dashboards look flat?
- Name which lever you are pulling. AEO is the fast legibility play. GEO is the slower reputation-and-citation play across the web. SEO is the foundation. If expectations are misaligned with the lever, the dashboard will feel broken even when the work is sound.
- What is the difference between AEO and GEO?
- AEO optimizes pages so answer engines can extract, summarize, and cite you accurately. GEO optimizes how often and how favorably your brand appears inside AI-generated responses, which is only partly within your direct control because models synthesize many sources.
- Is an llms.txt file enough for GEO?
- An llms.txt file (or similar machine-facing guidance) can help clarify what you want models to know, but it is not a substitute for reputation. GEO still depends on what independent, credible sources say and link to.