Use case

Content Optimization for AI

Structure content so AI engines can extract, cite, and recommend it.

Quick answer
Most content libraries are built for traditional search: optimised for keywords, meta tags, and backlinks. AI engines process content differently, extracting factual claims, evaluating source authority, and synthesising answers from structured information. Without AI-specific content optimisation, even high-ranking content remains invisible to AI engines.
Expected outcomes

What you can achieve

+65%
average AI extractability improvement
3x
more AI citations from optimised pages
40%
of existing content has AI visibility potential
<2h
average time to optimise a page
How it works

Content Optimization for AI with AEO Platform

1

Audit your content library

AEO Platform crawls your site and evaluates each page's AI readiness: content structure, schema markup, factual density, and extractability score.

2

Identify high-impact pages

The platform prioritises pages with the highest AI visibility potential—typically pages that already rank well in search but lack AI-optimised structure.

3

Review page-level recommendations

For each prioritised page, receive specific recommendations: restructure headings, add answer-first formatting, implement schema markup, improve expertise signals.

4

Implement content changes

Apply the recommended changes to your content. The platform provides before/after previews showing how the restructured content improves AI extractability.

5

Validate AI visibility improvement

After changes are published, the platform re-audits affected pages and tracks whether AI engines begin citing the optimised content.

The solution

How AEO Platform helps

AEO Platform audits your existing content library against AI engine requirements, identifying pages that have SEO value but are underperforming in AI visibility. The audit evaluates content structure, factual density, expertise signals, schema markup, and extractability—the factors that determine whether AI engines select your content as a source.

The platform provides page-level recommendations: specific changes to content structure, formatting, and markup that improve AI extractability. These are not vague guidelines but precise, actionable edits—rewriting a section lead to be answer-first, adding AuthorCredential markup, restructuring a comparison table for machine readability, or implementing FAQ schema for common questions.

Content workflows in AEO Platform help you prioritise which pages to optimise first, based on their potential AI impact. Pages that already have strong SEO performance and topical authority are prioritised because they require the least effort to unlock AI visibility—they already have the authority signals, they just need structural optimisation for AI consumption.

Example queries

Queries to monitor

How do I optimise content for AI search engines?
What content structure do AI engines prefer?
How do I get my content cited by ChatGPT?
Best practices for AI-friendly content
How to write content that AI engines can extract
FAQ

Content Optimization for AI 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.