AI Search Optimization

LLMs are the new search. Make sure they mention your brand.

The search landscape shifted in 2023. Google's AI Overviews, ChatGPT Search, Perplexity, Claude - these aren't experimental anymore. They're how 30%+ of your ICP researches solutions.

Traditional SEO still works. But it's not enough.

AI search optimization ensures your content is structured, contextual, and authoritative enough for LLMs to cite. We've been optimizing for AI search since early 2024—and we've seen the results. 9 AI search SQLs in 6 months for one ConTech client. While competitors debated if it mattered, we drove pipeline.

We integrate AI search optimization into every SEO engagement. No separate strategy. No extra retainer. Just modern SEO that covers both traditional and AI search.

WHAT IS AI SEARCH OPTIMIZATION?

AI search optimization is the practice of optimizing content so AI systems - ChatGPT, Perplexity, Claude, Google's AI Overviews, Bing Copilot - understand, trust, and cite your brand.

Here's what makes it different from traditional SEO:

AI-generated answers & summaries

‍LLMs synthesize content from multiple sources. They don't just link to you - they summarize your content in their responses. To get cited, your content needs to be authoritative, well-structured, and entity-rich. We optimize for that.

Conversational search patterns

‍People don't ask LLMs "construction project management software." They ask "what's the best way to track subcontractor delays on a commercial build?" We optimize for these natural language queries because that's where buying intent lives.

Structured context for AI crawlers

‍LLMs need clear signals about what your content means. That's schema markup, entity optimization, semantic HTML, FAQ sections, and topic clustering. We structure content so AI systems can extract meaning - not just keywords.

The goal: when someone asks an LLM a question in your category, your brand appears in the answer. That's a pipeline opportunity most SaaS companies are missing.

WHAT WE OFFER

AI-First Content Strategy

‍We create content that works for both humans and LLMs. That means:

• Clear information hierarchy (H2s as questions, direct answers)
• Entity-rich writing (product names, category terms, use cases)
• Authoritative depth (comprehensive answers LLMs trust)
• Structured formatting (tables, lists, FAQs that LLMs parse easily)

Not fluff content that ranks but doesn't convert. Deep, authoritative content that drives SQLs from both Google and AI search.

Schema & Structured Data Implementation

‍We implement structured data that helps AI systems understand your content:

• FAQ schema for common questions
• Product schema for feature pages
• Organization schema for brand recognition
• Article schema for blog content
• Custom schema for industry-specific needs

This gives LLMs the context they need to cite you accurately and confidently.

Conversational Query Optimization

‍We map your content to how buyers actually ask questions:

• Analyze ChatGPT/Perplexity search patterns in your category
• Identify high-intent conversational queries
• Optimize existing content for these patterns
• Create new content targeting LLM-specific queries

Example: instead of just targeting "construction scheduling software," we also target "how do I prevent schedule delays when coordinating 12 subcontractors on a mixed-use development?"

Entity & Topic Cluster Architecture

‍LLMs understand topics through entity relationships. We build content architectures that make these relationships clear:

• Core pillar content establishing category authority
• Supporting content covering related entities
• Internal linking that shows topic relationships
• Consistent entity usage across all content

This helps LLMs understand you're an authority in your space - not just another vendor.

AI Search Visibility Tracking

‍We monitor your brand's visibility across AI platforms:

• ChatGPT citation tracking
• Perplexity mention monitoring
• Claude reference analysis
• Google AI Overview appearances

You get monthly reports showing:

• Which queries trigger your brand in AI responses
• AI search traffic volume and trends
• AI search SQL conversion rates
• Competitive AI visibility gaps

Real data. Not guesswork.

WHY AI SEARCH OPTIMIZATION + SEO TOGETHER

SEO alone misses 30% of modern search behavior. Your content might rank #1 on Google. But if ChatGPT doesn't mention you? You're invisible to a growing segment of buyers.

AI search optimization alone has no foundation. AI systems need authoritative content to cite. That comes from SEO: backlinks, technical optimization, content depth, domain authority.

Together, they create complete search coverage:

• Traditional search: rankings, traffic, conversions
• AI search: citations, mentions, direct recommendations
• Brand search: owned visibility across all platforms
• Dark funnel: content that gets screenshotted and shared

We've seen this firsthand: clients with strong SEO and AI search optimization get SQLs from both channels. Clients with only one miss half the opportunity.

One content strategy. One execution. Complete coverage.

BENEFITS

Built for SaaS Buying Journeys

‍We specialize in B2B SaaS (80% ConTech). We understand your buyers research for 3-6 months before demo requests. We structure content for every stage of that journey - optimized for both traditional and AI search.

No Separate Retainer

‍AI search optimization isn't an upsell. It's how we do SEO in 2025. Same strategy, same team, same retainer. You get complete search optimization by default.

Measurable Pipeline Impact

‍We track SQLs by channel. You'll see exactly how many demos came from:

• Traditional organic search
• AI search platforms
• Branded search (driven by AI mentions)

We report on SQLs and CAC - not rankings and traffic.

Early Mover Advantage

‍Most SaaS companies are "monitoring" AI search. You'll be optimizing for it. That's a 12-18 month head start before competitors catch up. That's a competitive moat.