---
type: "Article"
title: "AEO Strategy | AI search visibility"
description: "A 12-month AEO + LLMO strategy: priority topic clusters, keyword targets, content cadence, link priorities and AI-readiness actions tied to milestones."
resource: "https://www.laurelinlabs.com/services/aeo-llmo-strategy"
tags: ["aeo-strategy", "ai-search-visibility", "seo-strategy-roadmap"]
generated: { by: "laurelin-site-build/2026-08-25", at: "2026-08-25T12:00:00+00:00" }
status: "stable"
stale_after: "2027-02-25T00:00:00+00:00"
sources:
  - id: "stat-1"
    resource: "https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents"
    title: "Gartner"
  - id: "stat-2"
    resource: "https://blog.google/products/search/ai-overview-expansion-may-2025-update/"
    title: "Google"
  - id: "stat-3"
    resource: "https://sparktoro.com/blog/in-2026-less-than-one-third-of-google-searches-still-send-a-click/"
    title: "SparkToro"
---
# AEO + LLMO Strategy

A twelve-month AEO and AI-visibility roadmap built around priority topic clusters, keyword targets, content cadence, link priorities and AI-readiness actions, mapped to monthly milestones and your commercial goals. It is built for organisations that need one plan tying search and AI visibility to commercial targets, and it is strongest when grounded in a technical audit, an opportunity analysis and a competitor benchmark, so every milestone starts from where the site actually stands.

## How does an AEO strategy turn an audit into a roadmap?

Most organisations lack a single roadmap that ties search and AI visibility to their commercial targets. This service produces one: priority topic clusters, keyword and entity targets, a content cadence, link-building priorities, AI-readiness actions and a month-by-month milestone plan.

It works standalone but is strongest when fed by an audit, opportunity analysis and competitor benchmark, so the plan is grounded in where you actually stand.

## Why is an AEO strategy built around topic clusters rather than keyword lists?

Because AI systems decompose a question into many parallel sub-searches (query fan-out), each URL should own a semantic neighbourhood of related queries rather than two or three exact-match keywords. The strategy is structured around clusters so your pages are the best-cited source across an intent, not a single head term.

## Key figures

| Metric | Figure | Source |
|---|---|---|
| Forecast drop in traditional search volume by 2026 | 25% | Gartner[^stat-1] |
| AI Overviews reach | 200+ countries, 40+ languages | Google[^stat-2] |
| Google searches that end without a click (2026) | 68% | SparkToro[^stat-3] |


## FAQ

### What is the difference between an AEO strategy and an SEO strategy?

An SEO strategy targets rankings for a keyword list. An AEO and LLMO strategy targets being the cited source for a topic cluster across Google AI Overviews, ChatGPT, Perplexity and Gemini as well as classic results, so it plans entities, authors and answer-first pages, not just keywords. The two share the same technical and content foundations.

### How long does an AEO roadmap run?

Twelve months, mapped to monthly milestones. The first quarter fixes technical and entity blockers, the second builds the priority clusters, and the second half compounds authority and measures citation share against the baseline.


Hub: [AI Search Visibility (AEO / GEO / LLMO)](/topics/ai-search-visibility.md)

[^stat-1]: Gartner
[^stat-2]: Google
[^stat-3]: SparkToro