We make AI search engines find you

AI search engines like ChatGPT, Perplexity, and Google AI Overview use different ranking signals than traditional search. They prioritize content that is machine-readable, contextually rich, and cited by authoritative sources. If your brand isn't appearing, it's likely because your content isn't optimized for AI crawlers, lacks structured data, or isn't being referenced in the training data these models use.

Traditional SEO focuses on ranking for keywords in search results pages. AI visibility is about being cited and recommended by AI models in conversational responses. This requires different optimization strategies including structured data markup, entity-based content, authoritative backlinks, and content that AI models can understand and trust. We track your visibility across 7+ AI engines, not just Google.

We monitor and optimize your brand visibility across all major AI search platforms including ChatGPT (OpenAI), Google AI Overview, Perplexity AI, Claude (Anthropic), Bing Chat, and other emerging AI search engines. Our multi-model approach ensures your brand is discoverable regardless of which AI platform your customers use.

Most clients see measurable improvements in AI citations within 30 days. However, the timeline depends on your starting point, industry competitiveness, and the scope of optimization needed. Our 4-phase approach starts with an AI Brand Audit to establish your baseline, followed by technical optimization and active AI engagement campaigns that typically show results within the first month.

An AI Brand Audit measures how AI models currently perceive and cite your brand across 7+ AI search engines. It reveals your visibility gaps, identifies which competitors are dominating AI recommendations, and provides a data-backed roadmap for improvement. This audit is essential because you can't optimize what you don't measure. It's the foundation of our 4-phase methodology.

While we cannot guarantee specific placements (as AI models continuously evolve), we can guarantee measurable improvement in your AI visibility metrics. Our clients see an average 83% increase in AI citations within 30 days. We use data-driven strategies proven to increase brand mentions across multiple AI platforms, and we provide transparent reporting so you see exactly what's working.

We use proprietary monitoring tools to track your brand mentions, citations, and share-of-voice across 7+ AI search engines. You receive real-time dashboards showing exactly when and how AI models reference your brand, which competitors are being cited instead, and how your visibility trends over time. Every recommendation we make is backed by multi-model visibility data.

We're the first AI Search Intelligence Platform built specifically for B2B brands. Unlike traditional SEO agencies adapting old tactics, we built our methodology from the ground up for AI search. We're 100% transparent with our data and methods, we track 7+ AI models (not just one), and we optimize for the metric that matters: AI citations that drive qualified leads. No black boxes, just measurable results.

Absolutely. AI search is rapidly replacing traditional search as the primary discovery method. Studies show that over 40% of searches now happen through AI interfaces. If your competitors appear in AI recommendations and you don't, you're losing qualified leads every day. Our clients typically see ROI within 60 days through increased qualified inbound leads from AI-driven searches.

Our proven 4-phase approach includes: (1) AI Brand Audit - measure your current visibility across 7+ AI engines, (2) Competitor Intelligence - identify gaps vs. rivals and growth opportunities, (3) Technical Optimization - make your brand machine-readable and model-ready with structured data and entity optimization, (4) AI Engage Campaigns - actively educate AI search engines to cite and recommend your brand through strategic content and authority building.

Not necessarily. Our approach is surgical and data-driven. After your AI Brand Audit, we identify the specific technical and content gaps preventing AI citations. Often, strategic improvements to structured data, entity markup, and key content pages are enough to see significant results. We focus on high-impact changes that deliver measurable ROI, not wholesale website rebuilds.

We continuously monitor all major AI platforms and their evolving ranking signals. Our team tests optimization strategies across multiple AI models daily, and we maintain direct relationships with AI platform representatives. Because we track 7+ AI engines simultaneously, we can identify cross-platform trends and adapt our strategies before algorithm changes impact your visibility.