Semantic Mapping
Landscape research across AI overviews and chat answers to map how assistants cite brands today.
Blend AI-assisted research, structured content, and experimentation so you're cited inside ChatGPT, Claude, Gemini, Perplexity, and classic search results. We optimize your brand to be cited inside ChatGPT, Gemini, Perplexity, Claude, and the next wave of AI answer surfaces.
GEO combines human strategy with AI-assisted execution so your product is discoverable in generative answers, classic SERPs, and emerging surfaces. We research how ChatGPT, Claude, Gemini, and emerging assistants describe your category today, then design the evidence, schema, and experiences they can safely cite. As users move from scrolling result pages toward conversational answers, your visibility now depends on how LLMs synthesize your evidence.
Indexed pages, ranking systems, links, and query intent. Built for crawlers and humans scanning lists of results.
Semantic entities, trusted sources, structured proof, and citation influence. Built for retrieval pipelines and synthesized answers.
Each sprint pairs content, technical, and experimentation work: structured data that LLMs can ground, answer-ready content hubs with citations, and product experiences that give evaluators proof without friction. The result is durable placement across AI overviews and the SERP real estate that still drives intent.
Landscape research across AI overviews and chat answers to map how assistants cite brands today.
Structured content, schema, and feeds engineered so LLMs can ground answers in your trusted sources.
Experimentation that tunes pages, prompts, and UX to win placements in generative and traditional SERPs.
Always-on monitoring to detect answer changes before competitors capture the conversation.
Strategists, content specialists, and engineers embed with your team to ship search experiments every sprint. We unify policy-safe messaging, structured data, and technical reliability so assistants can reference you without hallucination risk. Each assistant behaves differently, so the program benchmarks answer share, citations, and recall across the AI landscape instead of relying on one surface.
Active LLMs tracked and optimized for citation recall.
Average RAG latency reduction through semantic layering.
Increase in brand mention frequency across generative output sessions.
Percentage of model responses where your brand is cited as the primary source.
Growth in direct-from-answer referral traffic compared to traditional organic.
Live case studies pulled from the current Higglo catalog to show how generative visibility translates into measurable outcomes.
Case study 01
Custom Software Solution Boosts Elite Hockey Platform Engagement by 40%
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Case study 02
Achieving 5,000+ Instagram Followers in Just 3 Months
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Share your goals and current coverage. We’ll outline the GEO pod, experiments, and measurement plan to protect and grow your search presence across ChatGPT, Claude, Gemini, and every AI assistant surfacing your category.