AEO Services
AI Engine Optimization for ChatGPT, Perplexity, Google AI Overviews, and voice assistants.
Trusted by industry leaders
AEO Packages
Start with an audit to understand how AI engines see your brand, then move to ongoing optimization.
Starter
For businesses exploring AI visibility
- + AI visibility scan
- + 3 competitor comparison
- + Gap report
- + 30-min consultation call
Professional
Comprehensive AEO package
- + Full AI citation audit (15 pages)
- + Content recommendations
- + Entity SEO review
- + 60-min strategy call
- + 30-day email support
Enterprise
Full-scale AI visibility solution
- + Complete AI visibility program
- + Content roadmap
- + Implementation guidance
- + 2x 60-min strategy calls
- + 90-day priority support
AI-Powered Search Is Already Redirecting Traffic Away From Traditional Results
ChatGPT, Perplexity, and Google AI Overviews answer user queries directly. If your brand is not in those answers, the visibility goes to competitors who are.
LLMs do not rank pages — they cite sources they can parse
Traditional SEO optimizes for crawlers and ranking algorithms. AEO optimizes for language models that extract, summarize, and attribute information. The content formats, entity signals, and authority markers that LLMs rely on are different from what Google's crawler evaluates. Structured data, clear entity definitions, and consistent cross-references matter more than keyword density.
AI visibility compounds across platforms, not just one search engine
When your content is properly structured for LLM consumption, it becomes citable by ChatGPT, Perplexity, Gemini, Claude, and Microsoft Copilot simultaneously. A single optimization effort propagates across every AI platform that ingests your content — unlike traditional SEO, where each search engine has its own ranking factors.
Waiting means losing ground to competitors who move first
AI models are trained and updated on fixed schedules. Content that establishes entity authority and citation patterns now gets embedded in model weights during the next training cycle. Brands that delay optimization miss those windows and have to compete against incumbents who are already established in LLM knowledge.
What AI Engine Optimization Includes
LLM content optimization
Restructuring your content so language models can accurately extract, summarize, and cite your brand. This means clear entity definitions, FAQ schemas, and answer-ready formatting — not just adding keywords.
AI Overview and featured snippet targeting
Optimizing page structure, schema markup, and content format to appear in Google AI Overviews and featured snippet positions where AI-enhanced search results are displayed.
Entity SEO and knowledge graph signals
Building unambiguous entity identity through structured data, knowledge panels, Wikipedia and Wikidata presence, and authoritative cross-references that LLMs use to verify and attribute information.
Three assets that make your brand part of the AI answer
Entity Clarity
Unambiguous identity in knowledge graphs. When LLMs can confidently identify who you are and what you do, they cite you instead of hedging or citing a competitor.
- Structured data and knowledge panel presence
- Consistent entity signals across platforms
- Wikipedia, Wikidata, and authoritative cross-references
Citation Authority
Content structure that LLMs prefer to cite. Answer-ready formatting, clear claims, and verifiable sources make your pages the ones language models extract and attribute.
- Answer-ready content formatting
- Source authority signals LLMs can verify
- FAQ schemas and structured claim patterns
Cross-Platform Presence
Visibility across ChatGPT, Perplexity, Google AI Overviews, and every emerging AI surface. One optimization effort propagates across every platform that ingests your content.
- Citations in ChatGPT, Perplexity, and Gemini
- Google AI Overview and featured snippet presence
- Emerging AI surface monitoring and adaptation
From Invisible to Cited in AI-Powered Search
Diagnose
Audit how ChatGPT, Perplexity, and Google AI Overviews currently perceive your brand. Identify citation gaps and competitor positioning.
- AI citation baseline across platforms
- Entity recognition assessment
- Competitor citation comparison
Scope
Prioritized action plan covering content restructuring, entity signals, and schema implementation — with clear deliverables per task.
- Content gap prioritization
- Entity signal roadmap
- Schema and structured data plan
Execute
Implement content restructuring, entity SEO improvements, structured data markup, and cross-platform citation strategy.
- Content reformatting for LLM parsing
- Structured data implementation
- Entity authority building
Prove
Track citation frequency across AI platforms, monitor entity recognition changes, and measure visibility shifts after each model update cycle.
- AI citation tracking per platform
- Entity recognition monitoring
- Recommendations for next cycle
AEO Results
"We had no idea how invisible we were in AI search results. After the AEO audit and optimization, our brand started appearing in ChatGPT and Perplexity responses within weeks."
Start With an AI Visibility Audit — See How LLMs Perceive Your Brand
We check how ChatGPT, Perplexity, and Google AI Overviews cite your brand today, where competitors appear instead, and what content changes will have the highest impact.
One-time. No ongoing commitment. 5-10 business days.
AEO Scopes of Work
Choose the scope that matches your current AI visibility bottleneck.
Questions Buyers Ask About AEO
How is AEO different from SEO?
SEO optimizes for search engine ranking algorithms. AEO optimizes for large language models that extract and cite information. The tactics differ: AEO focuses on entity clarity, structured data, and content formats that LLMs can parse, while SEO prioritizes keywords, backlinks, and technical crawlability. The best results come from combining both.
How long does AEO take to show results?
Content and schema changes can affect AI Overviews within weeks. LLM citation changes depend on model retraining schedules — typically 2-4 months for platforms like ChatGPT and Perplexity. Early movers benefit because entity authority established before a training cycle gets embedded in model weights.
Which AI platforms do you optimize for?
ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Microsoft Copilot. Each platform has different citation patterns and data sources, so we tailor the strategy per platform rather than applying a single template.
Can you guarantee AI citations for my brand?
No. LLM outputs are probabilistic and change with each model update. What we deliver is a systematic approach that maximizes citation probability: proper entity signals, structured content, and authoritative sourcing that AI models prefer to reference.
What is the best first step?
An AI Visibility Audit: we check how major AI platforms currently cite your brand, where competitors appear instead, and which content and entity changes will have the highest impact. It gives you a clear picture before committing to a larger engagement.