AI Search Optimization
As LLM-driven search becomes a dominant discovery layer, brands need an optimization approach that goes beyond classic SEO. We help brands become trusted, citable, and actionable sources inside AI search results by aligning content structure, entity signals, and off-site authority with how generative engines surface answers
AI SEARCH APPROACH
A future-facing strategy for AI discovery
Competitive Research
We map how generative models currently reference competitors and category leaders, identify content and entity gaps, and prioritize opportunities where citation wins are realistic and impactful.
Optimize On- and Off-Site Content
We optimize page-level signals (headings, schema, answer snippets) and amplify off-site signals with digital PR, expert placements, and co-mentions on sources LLMs rely on.
Strengthen Brand Through E-E-A-T
We operationalize author credentials, review workflows, and clear sourcing to improve perceived expertise and trust across your content estate.
Test, Monitor and Refine
Using AI-visibility tools and custom tracking, we measure where you’re cited, what prompts produce your content, and iterate on the signals that move the needle.


From discovery, to engagement and conversion
AI SEARCH STRATEGY & EXECUTION
People Love Working With Us
End-to-end
marketing solutions

Kim Cooper
Director of Marketing, Amazon Alexa
End-to-end
marketing solutions

Kim Cooper
Director of Marketing, Amazon Alexa
End-to-end
marketing solutions

Kim Cooper
Director of Marketing, Amazon Alexa
Our Agency Vs Traditional Agencies
Our AI Search Team |
The Other Guys |
|
|---|---|---|
AI & LLM expertise |
Deep experience with knowledge graphs, schema, and entity engineering — we signal to models what to cite. |
General SEO knowledge with limited experience in LLMs and generative citation behavior. |
Value |
Cross-functional specialists (content engineers, technical SEO, digital PR) that act as an extension of your team — for less than hiring multiple specialists. |
One-off hires or junior teams that lack cross-discipline coordination and slow down results. |
Time to impact |
Quick technical and structural wins (schema fixes, canonicalization) within weeks; citation and authority growth in months. |
Slow ramp — often months to show measurable change in AI visibility due to fragmented efforts. |
Measurement & rigor |
Experiment-driven: citation tracking, controlled tests, and dashboards that show AI referral impact on trials, leads, or sales. |
Limited to vanity metrics and surface-level keyword reporting that doesn’t map to AI citations or downstream conversions. |
Risk |
Low — we recommend phased sprints and prioritize technical fixes that preserve site health and data fidelity. |
Higher — long contracts, vague deliverables, and risky tactics that may harm long-term trust signals. |
Collaboration burden |
Minimal — we plug into existing content, analytics, and PR workflows and deliver prioritized workstreams. |
Heavy — requires extensive management and back-and-forth to align disparate specialists. |
Built for modern AI search growth 🚀 |
Stuck in traditional SEO mindset |
FAQ
Ready to unlock growth? Hire Us!