SEO
Keyword-driven search ranking
Traditional SEO focuses on queries, links, crawlability, and ranking positions in search results. It remains important, but it does not fully explain how AI engines decide which entities to cite.
by Prime SentiaPre-registered methodology · DOI 10.17605/OSF.IO/XCG7J
Optimize for All AI Engines in One Platform
AI Engine Optimizer
ChatGPT · Gemini · Perplexity · Google AI Overviews · Microsoft Copilot · Claude. Every AI model needs different optimization strategies. AI Engine Optimizer measures visibility, recommends actions, and delivers results—for every engine your audience uses.
Why AI Engine Optimization?
SEO helps pages rank. AEO helps brands become the answer.
Generative engines synthesize entity, citation, structure, and performance signals before they mention a brand. Optimization has to cover every model your audience uses.
AEO
Entity, citation, and structured-data signals
AI Engine Optimization improves the signals generative systems use to ground answers: entity credibility, citation readiness, semantic clarity, structured data, Core Vitals, and content authority.
Multi-Model Coverage
One operating model for generative engines, AI search, and Google AI Overviews.
ChatGPT · Claude · Gemini
Generative Engines
ChatGPT, Claude, and Gemini evaluate entity clarity, source authority, and answer-ready context.
Perplexity · Copilot
AI Search
Perplexity and Copilot reward citation-ready pages, structured facts, and trust signals that can be verified fast.
Google AI Overviews
Traditional Search
Google AI Overviews still depends on crawlable, fast, well-structured web pages with coherent entity signals.
What You Optimize
Four signal groups that move AI visibility from guesswork to execution.
Citation Readiness
Make claims, sources, authorship, and evidence easy for AI systems to quote and attribute.
Brand Visibility
Measure where your brand appears, where it is absent, and which competing entities are cited instead.
Core Vitals
Improve the performance and mobile signals that affect crawl quality, usability, and model retrieval.
Structural Data
Align schema, entity references, page hierarchy, and semantic markup for machine interpretation.
How It Works
From domain to verified execution roadmap.
- 01
Enter domain
Start with the public site and brand context your audience sees.
- 02
Audit
Analyze visibility, citation readiness, structural data, Core Vitals, and entity signals.
- 03
Recommendations
Turn the audit into prioritized actions for content, schema, performance, and evidence.
- 04
Execute & verify
Implement fixes, rerun checks, and keep the roadmap tied to measurable AI visibility.
AEO Best Practices
The fundamentals that compound across every answer engine.
Entity data
Use consistent names, identifiers, sameAs links, organization data, and knowledge graph references.
Citation readiness
Expose evidence, sources, claims, authorship, and dates in a way answer engines can ground.
Semantic clarity
Structure pages so models can separate definitions, evidence, offers, comparisons, and next actions.
Core Vitals + Mobile
Keep mobile pages fast, stable, readable, crawlable, and easy to parse under real-world constraints.
Backed by Research
Pre-registered methodology, connected to the product layer.
AI Engine Optimizer is grounded in Prime Sentia research on AI visibility, citation probability, structured signals, and model-readable brand context.
Final CTA
Optimize the signals every AI engine uses to cite your brand.
Start with an audit, prioritize the fixes, and verify the improvements inside the same Prime Sentia workflow.