Use case

From SEO to AEO

Bridge the gap between traditional search optimization and AI engine optimization.

Quick answer
SEO teams have spent years building search visibility through keyword optimisation, link building, and technical SEO. But AI engines process and rank content differently, meaning high Google rankings do not guarantee AI visibility. Without a structured migration path, SEO teams waste effort on the wrong priorities and miss the AI visibility opportunity.
Expected outcomes

What you can achieve

70%
of SEO assets can be adapted for AEO
4 weeks
average time to AEO technical readiness
+50%
AI visibility from existing content adaptation
0%
SEO performance loss from AEO integration
How it works

From SEO to AEO with AEO Platform

1

Audit your SEO-to-AEO readiness

AEO Platform evaluates your existing SEO assets and identifies which translate to AI visibility, which need adaptation, and what gaps exist.

2

Fix technical foundations

Ensure AI crawlers can access your content: review robots.txt, implement llms.txt, verify structured data covers AI extraction needs.

3

Map SEO vs AI visibility gaps

Identify high-ranking pages that are invisible to AI engines. These represent the highest-ROI migration opportunities.

4

Adapt content for AI consumption

Apply answer-first formatting, enhance expertise signals, and improve content extractability on priority pages.

5

Integrate AEO into SEO workflows

Add AI visibility checks to content briefs, technical audits, and performance reporting. Build AEO into your existing processes.

6

Measure dual-channel performance

Track both search rankings and AI visibility metrics side by side. Ensure optimisation for one channel does not come at the expense of the other.

The solution

How AEO Platform helps

AEO Platform bridges the SEO-to-AEO gap by showing you exactly where your search visibility and AI visibility diverge. The SERP vs AI gap analysis identifies keywords where you rank well on Google but are invisible in AI responses, giving you a prioritised list of migration opportunities.

The platform integrates into existing SEO workflows. Content briefs can be augmented with AI optimisation recommendations. Technical audits are extended with AI-specific checks. Keyword tracking is complemented with prompt tracking. This integration means your SEO team can add AEO to their existing processes without building entirely new workflows.

For teams new to AEO, the platform provides a structured migration playbook: start with technical foundations (AI crawler access, llms.txt), then move to content optimisation (answer-first formatting, schema enhancement), then to ongoing monitoring (Share of Model, citation tracking). This phased approach ensures quick wins while building toward comprehensive AI visibility.

Example queries

Queries to monitor

What is the difference between SEO and AEO?
How do I optimise for AI search engines?
Does AEO replace SEO?
How to prepare for AI-powered search
SEO strategies that work for AI engines
FAQ

From SEO to AEO FAQ

Relevant engines
Get started

Start with the pages and proof that AI can actually use

Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.