SEO for the AI-search era: GEO and AEO without shortcuts

What are GEO and AEO?

AEO usually means Answer Engine Optimization and GEO means Generative Engine Optimization. They describe changing search behavior, not a set of guaranteed ranking hacks.

Google explains that its generative features build on the Search index and quality systems, so SEO fundamentals still matter.

What actually works?

Original, accurate, people-first content that addresses a real need, a clear heading structure and crawlable pages remain durable foundations.

For technical topics, make primary sources, dates, authorship and claim boundaries clear.

• Clear user intent
• Reviewable sources
• Correct technical structure and canonicals
• Good mobile experience
• Documented updates

What is not a magic solution?

Google states that llms.txt, forced content chunking and artificial keyword repetition do not provide a special advantage in generative Search features.

High-volume pages without distinct value can also conflict with spam policies.

How should you measure impact?

Use Search Console, clicks, impressions, real queries and interaction quality. A ranking increase alone is not enough; the page should satisfy the right reader.

Context Engineering (Read more)

Writing for an answer, not keyword repetition

Each page should serve a clear intent: a definition, comparison, selection guide or problem solution. Its title, opening and subheadings should make that path understandable to readers and search systems.

For technical or changing claims, place the primary source and date near the claim. This improves editorial quality and makes later updates manageable.

A content review routine

After publishing, review search queries, entry pages and real reader behavior. When an important question is unanswered, add an example and source—not a pile of repeated keywords.

Keep the technical layer aligned with the content: check canonicals, titles, meta descriptions, language, internal links and mobile rendering in every review.

Scenario: reviewing a knowledge-base page

For a frequently searched question, first identify intent: does the reader need a definition, selection guide or comparison? The page structure should follow that path with clear headings.

Connect technical claims to primary sources, show the publication date and add genuinely useful internal links. Keywords should occur naturally rather than being repeated to manipulate a system.

After publishing, Search Console data and reader feedback reveal where explanation or examples are missing. Continuous revision is more useful than creating many thin pages.