AI Search Optimization
As AI chatbots and large language models (LLMs) become dominant gateways to information, brands must rethink their visibility strategies. AI search optimization ensures your brand surfaces in conversational and generative AI tools by aligning your content, authority signals, and technical structure with how these models ingest and prioritize information.
While grounded in traditional SEO principles, generative engine optimization (GEO) requires nuanced approaches tailored to LLM retrieval methods, knowledge graph development, and multimodal content understanding. It’s not just about ranking; it’s about being cited, referenced, and recommended by machines as the most trusted answer.
people use ChatGPT weekly, with users sending over 1 billion messages per day.
of Gen Z and Millennials trust AI-generated answers more when brands are mentioned in responses.
increase in branded citations across AI search platforms in 2024 alone.
AI-assisted searches expected monthly by the end of 2025.
A future-facing strategy for AI discovery.
Custom AI search optimization strategies designed to future-proof your brand’s discoverability, increase your representation in LLM responses, and build a presence in the next generation of search.
From discovery, to engagement and conversion.
+ Auditing & Analysis
AI search engine optimization begins with a comprehensive audit of how your brand is represented across AI platforms and search modes like ChatGPT, Gemini, AI Overviews, and Perplexity. We assess your opportunities to improve by auditing existing content, content gaps, technical SEO, and offsite signals such as backlinks and brand mentions.
We then analyze how your site performs in AI generated search results, identifying which pages are being cited, how your brand is referenced, and where competitors may be outshining.
+ Visibility & Optimization
We begin by identifying topics and prompts that generative AI systems frequently address in your industry. Using these insights, we create and optimize content to be semantically rich, well structured, and well positioned for citation by LLMs. This includes refining page titles, heading structures, internal linking, and structured data markup.
Off-site, we strengthen visibility by building relevant and authoritative backlinks and digital PR placements, ensuring your brand and your non-brand keyword targets are mentioned close together in the high authority sources we know LLMs use to train and validate information. We balance discoverability with content quality to improve your presence in generative AI responses while ensuring the user isn’t just an afterthought.
+ Conversion Optimization
Showing up in AI search is only part of the goal. While we do believe in the value of impressions, presence must also drive clicks, engagement, and conversions. By monitoring onsite user interactions from LLM referred traffic, we learn how to iterate on content layout and conversion funnel design to ensure that AI traffic results in meaningful business outcomes. This approach converts impressions into impact, whether your goal is lead generation or ecommerce sales.
+ Testing & Reporting
Our optimization doesn’t end at implementation. We use the leading tools in the industry and an ongoing optimization approach to monitor how and where your brand is mentioned in AI search and to ideate on how we can implement learnings and drive stronger results over time.
Through consistent reporting, we deliver insights on where your visibility is growing, where competitors are gaining momentum, and how algorithm or AI platform changes may impact your visibility. Based on our findings, we adapt our technical, content, and digital PR tactics, ensuring continuous improvement and alignment with the evolving AI search ecosystem.
Financial technology provider sees a +994% increase in referral traffic from LLMs.
Fintech Provider: Technical site fixes, online reputation management and brand building through digital PR helps tech giant increase mentions / citations from ChatGPT, Perplexity and Gemini.
Get your brand the AI visibility and recognition it deserves.
Conquer AI search optimization at your own pace. Our learning center offers in-depth resources and bite-sized content to make you an AI optimization orchestrator.
Frequently asked questions about Google's AI Overviews, LLMs and AI Search Optimization.
What is the difference between AI Search Optimization and Generative Engine Optimization (GEO)?
AI Search Optimization is the practice of optimizing content so that it is easily discoverable and accurately interpreted by AI-powered search engines, such as ChatGPT, Google’s SGE [Search Generative Experience], Bing AI, or internal enterprise AI search systems. GEO refers to tailoring content to influence how it is used or generated by generative AI models, including large language models (LLMs) like ChatGPT, Gemini, Claude, etc.
Why are brand mentions and citations important for AI SEO?
Just as backlinks boost Google rankings, mentions and citations on authoritative sites help AI systems identify your brand as a credible source. This ‘entity-first’ strategy ensures your brand appears in AI-generated responses.
What technical elements are key to making content AI-ready?
Important elements include crawlability, page speed, mobile responsiveness, and use of structured data (e.g., schema markup). These ensure that large language models can properly parse and utilize your content.
How does E-A-T tie into AI SEO?
E-A-T—Experience, Expertise, Authoritativeness, Trustworthiness—is critical for AI visibility. AI SEO involves optimizing author bios, verifying credentials, updating stale content, and ensuring accuracy so that LLMs view your site as credible and citation-worthy.