Modern Search & Conversational Discovery
Search is becoming conversational.
People are no longer just typing keywords into search engines—they’re asking questions, prompting AI systems, and discovering brands through dialogue-driven interfaces. Visibility now depends on how clearly your business is structured, understood, and referenced across search engines, AI assistants, and conversational platforms.
At Brainstorm, we help organizations adapt to this shift by designing search and discovery systems that support both traditional SEO and conversational search experiences. Our approach blends technical foundations, semantic structure, and generative optimization—so your business shows up accurately and consistently wherever conversations drive discovery.
We optimize how your business is understood across search engines, AI assistants, and conversational interfaces.
Search & Discovery Architecture 
We design the structural foundations that allow search engines and conversational systems to reliably interpret and surface your business across evolving discovery channels.
Entity & Knowledge Optimization
Conversational search relies on entities, relationships, and context—not keywords alone. We shape the signals that define who you are, what you offer, and how systems should reference your brand in answers and recommendations.
Conversational Search Optimization
We prepare brands to appear accurately within AI-driven conversations—where systems summarize, recommend, and respond to user questions using generative models and retrieval-based search.
Semantic Content Systems
We build content systems that teach machines meaning and intent, reinforcing topical authority so your business is discoverable within both search results and conversational responses.
Core Services
1. Search & Conversational Discovery Audits
Understanding how your business is currently interpreted by search engines and AI systems.
What this includes:
- Technical SEO and crawlability audits
- Indexing, rendering, and performance analysis
- Entity clarity and knowledge graph assessment
- Conversational visibility review (AI answers, summaries, citations)
- Content structure and semantic gap analysis
This audit establishes a baseline for both traditional search and conversational discovery—revealing where understanding breaks down.
2. Search Architecture & Structured Data Optimization
Designing foundations machines can interpret and reference.
What this includes:
- Site architecture and internal linking strategy
- Schema and structured data implementation (JSON-LD)
- Entity definition and relationship mapping
- Metadata, canonicalization, and indexing strategy
- Technical hygiene and performance optimization
This work ensures your content can be accurately retrieved, summarized, and referenced in conversational search systems.
3. Conversational Search Optimization (GEO)
Preparing your brand for AI-mediated conversations.
What this includes:
- Optimization for AI assistants and answer engines
- Content structuring for summarization and citation
- Authority and trust signal reinforcement
- Prompt-relevant content alignment
- Ongoing monitoring as conversational systems evolve
This is not about ranking inside AI tools—it’s about being accurately represented when users ask questions.
4. Semantic Content & Topic Systems
Teaching algorithms context and intent.
What this includes:
- Topic modeling and semantic mapping
- Content clustering and internal relationships
- Editorial frameworks aligned to conversational queries
- On-page optimization for contextual relevance
- Continuous content evolution
We design content systems that support both search results and conversational responses.
Case Studies
Conair Corporation
Delivered Salesforce Commerce Cloud development, enterprise integrations, and sales analytics enablement using Power BI to support large-scale ecommerce operations.
Build-A-Bear Workshop
Acted as a long-term digital partner across Salesforce Commerce Cloud, data science, integrations, analytics, and experience design initiatives supporting enterprise-scale commerce.
Waring Commercial
Supported Salesforce Commerce Cloud development with integrations and analytics to enhance ecommerce performance and reporting.
Babyliss Pro
Provided Salesforce Commerce Cloud development with supporting integrations and analytics enablement, including Power BI reporting to surface ecommerce performance insights.
AnnSandra
Implemented a Shopify storefront alongside a custom Laravel-based bridal registry system, enabling complex registry logic and seamless coordination between commerce and gifting workflows.
Byraph
Designed and developed a custom Shopify ecommerce experience with integrations to support scalable online sales and brand-driven merchandising.