We analyze how AI systems interpret your brand and how your competitors are showing up. With this research, we fine-tune your strategy to align with how LLMs determine relevance and authority.

• AI Overviews queries and topic analysis: We analyze which queries trigger AI Overviews and break down the surfaced content to help you optimize for maximum exposure.
• Entity research: We uncover the key entities in your space and use those insights to shape how your brand is recognized, connected, and prioritized by AI systems.
• Brand perception across platforms: We evaluate how platforms like ChatGPT, Gemini, and Copilot describe your brand and refine your positioning to influence that narrative.
• Competitive visibility: We identify which businesses AI recommends for your priority topics and queries, analyze their positioning, and uncover opportunities for growth.
• Source tracking: We monitor which sites AI engines pull from to help you prioritize the high-trust sources that influence retrieval.

We go beyond keywords to build content around the entities, topics, and relationships that define your brand’s expertise. This helps AI systems understand what your brand is known for and when to surface it across the user journey.

• Topic clusters and pillar pages: Built around key entities to establish topical authority.
• Internal linking strategy: Reinforces semantic relationships between concepts.
• Referenced entities: Incorporates well-known brands, people, and topics in your space.
• Entity gap analysis: Identifies underrepresented concepts and fills content gaps.
• Full-funnel mapping: Supports visibility across the entire search journey, from discovery to conversion.

We optimize how your content is written, formatted, and structured so it’s easy for AI to process, summarize, and retrieve. From conversational formats to semantic clarity, we design content for the way people (and LLMs) search.

• Answer-ready formatting: Clear headings, structured Q&A, bullet points, and tables designed for featured snippets and AI Overviews.
• Readable flow: Short paragraphs, simplified language, and natural phrasing for easier AI processing and summarization.
• Content aligned with search intent: Designed to meet user needs across the journey, from discovery to comparison to or conversion.
• High-impact formats: Optimization of FAQs, reviews, and decision-stage content types that perform well in AI-generated results.
• Semantic optimization: Incorporates language patterns and concepts aligned with how LLMs interpret context and meaning.
• Continuous refinement: Ongoing updates based on evolving AI behavior, query formats, and content gaps.

Structured data helps search engines and AI systems better interpret your content and connect it to known entities. We implement schema to reinforce topical relevance, support retrievability, and improve your chances of being surfaced in AI-generated responses and rich results.

• Core entity markup (Organization, Product, Person): Defines your brand, offerings, and key individuals so your content connects to AI’s trusted knowledge sources.
• Article markup: Structures details like author, publish date, and featured image to help search engines and AI systems understand, cite, and summarize your content.
• FAQPage schema: Formats your Q&A content for featured snippets and makes it easier for AI to extract clear, structured content to inform answers.
• Review markup: Surfaces your social proof with star ratings and customer feedback to build trust and drive engagement.
• Service schema: Helps categorize and contextualize your offerings so they’re easier to find in both search and generative responses.

A solid technical foundation ensures your content can be crawled, understood, and retrieved by both traditional search engines and AI systems. We optimize your site structure and metadata to remove barriers and support visibility across all search experiences.

• Crawl and indexability fixes: Address broken links, sitemap errors, and blocked resources to ensure smooth content discovery.
• AI crawler access: Enable and monitor bots like GPTBot and PerplexityBot to support inclusion in AI-driven search results.
• Crawl path optimization: Use internal linking and structured sitemaps to prioritize your most valuable content for retrieval.
• Semantic HTML and metadata: Implement clean, descriptive tags and structure (titles, headers, alt text) to improve content interpretation and visibility.
• Performance optimization: Ensure fast, mobile-friendly experiences that meet modern technical and AI-driven usability standards.
• Secure HTTPS setup: Maintain site security to build trust and meet the technical requirements favored by AI systems.
• Accessibility enhancements: Implement semantic HTML and ARIA standards to improve usability for both screen readers and AI parsing.

LLMs don’t rely on backlinks; they rely on context. We secure meaningful mentions in AI-referenced publications, datasets, and conversations to reinforce your authority and relevance across the sources that generative engines trust.

• Branded citations in trusted sources: Earn placements in industry publications that are frequently referenced by AI systems.
• Contextual alignment: Ensure your brand is mentioned alongside relevant entities, topics, and competitors in your space.
• High-authority PR strategy: Focus outreach on sources that influence the Knowledge Graph and AI Overviews.
• Support for entity recognition: Strengthen brand associations through consistent, well-positioned mentions across the web.
• Non-link-based authority: Optimize for retrievability by targeting the sources that shape AI-generated responses, not just rankings.

LLMs are increasingly multimodal. They process images, video, and structured visuals. We develop assets designed to be surfaced, cited, and understood by AI to help your brand stand out in more places.

• Structured visual assets: Build infographics, carousels, and short-form video with retrievability in mind.
• Optimized metadata: Implement schema, alt text, and OpenGraph tags to support AI preview and understanding.
• Multimodal visibility: Align assets for AI systems that prioritize visual content in overviews and responses.
• Platform-ready design: Create video and graphic formats suited for YouTube, Instagram, TikTok, and AI-powered search results.
• Semantic reinforcement: Use visual elements to echo key entities, concepts, and brand narratives that support AI learning.

AI doesn’t just learn from your website; it learns from where your brand is talked about. We position you in the forums, platforms, and social spaces that LLMs actively reference.

• Forum engagement strategy: Participate in high-signal conversations on Reddit, Quora, and industry-specific communities.
• Semantic consistency across platforms: Maintain brand and entity alignment across social bios, posts, and shares.
• Real-time monitoring: Identify and respond to discussions that influence visibility in generative responses.
• Content distribution strategy: Amplify your content in places that influence AI retrievability, even when users aren’t searching directly.
• Cross-platform retrievability: Ensure your presence is discoverable across the channels that shape AI output.