Pricing — Three layers. One connected system. Skip to content

Pricing

Let's make it great — three layers. One connected system.

Three layers. One connected system.

  1. Brand OS — The strategy and build layer.

    Build meaning systems that machines and people understand.

  2. E/MOTION Labs — The visibility layer.

    Make your brand visible across AI search and agents.

  3. Agentic Commerce — The next commerce layer.

    Build for an agent-first world.

    Coming soon.

02  /  Brand OS

Strategy made visible, operational, and built to evolve.

Brand OS — Custom Strategy Engagements

Brand OS aligns your Culture Code, Design Code, and Systems Code so the meaning of your brand remains coherent across every surface: strategy, identity, content, technology, AI search, and customer experience.

We define what your brand means, how it expresses that meaning, and how the underlying system carries it into the world.

Brand OS engagements are custom and scoped to the needs of your organization.

Custom scope. Pricing is set after a strategy conversation.

03  /  E/MOTION Labs

Visibility, built in stages.

Every E/MOTION Labs engagement begins with Diagnose.

We first establish how AI systems currently understand, retrieve, represent, and cite your brand. The findings determine whether the next step is targeted implementation, ongoing optimization, or a larger Brand OS engagement.

  1. 01  /  Diagnose

    Search Visibility Diagnostic

    Find where you stand, fix the immediate blockers, and know what to do next.

    We establish how AI systems currently understand, retrieve, represent, and cite your brand. We identify the technical, semantic, contextual, and citation gaps limiting your visibility, correct the most immediate foundational issues, and deliver a commercially prioritized 90-day plan.

    Investment
    $5,000 one-time
    Engagement
    Completed within 25 business days
    Best for
    Brands that need to understand why they are missing, misread, weakly represented, or absent across AI search.

    Includes

    • AI visibility and competitor baseline
    • Buyer-prompt map
    • Technical and machine-readability audit
    • Entity and semantic gap analysis
    • Citation and source review
    • Schema and structured-data review
    • Selected priority code, schema, and machine-readability fixes*
    • llms.txt review or implementation
    • Commercially prioritized 90-day roadmap
    • Findings walkthrough

    *Diagnose includes essential foundational code, structure, and schema fixes across agreed priority pages that can be completed safely within the existing website architecture.

    [ Start With Diagnosis→]

  2. 02  /  Build

    Optimization Sprint

    Fix the foundation. Make your brand machine-readable, trustworthy, and citable.

    Build turns the Diagnose findings into implementation.

    We repair the technical and semantic foundation, strengthen the signals AI systems rely on, and develop the pages and assets required to improve how your brand is retrieved and represented.

    Investment
    $7,500/month
    Engagement
    3–6 months
    Best for
    Brands ready to repair their foundation, strengthen visibility signals, and improve how they appear across AI-mediated discovery.

    Includes

    • Prioritized sprint plan
    • Technical fixes within the agreed scope
    • Page-level machine-readability improvements
    • Schema and structured-data implementation
    • Entity and semantic improvements
    • Citation-gap actions
    • Source and corroboration recommendations
    • Answer-shaped service pages, FAQs, comparisons, and supporting content within scope
    • Prompt-informed content updates
    • Before-and-after prompt tracking
    • Share-of-voice and competitor benchmarking
    • Measurement and implementation reporting
    • Recommended next actions
    [ Run the Sprint→]

  3. 03  /  Grow

    Visibility Partner

    Turn the completed foundation into an ongoing visibility system.

    Grow begins after Build—or once an equivalent technical and semantic foundation is already in place.

    We continuously monitor how your category, competitors, sources, prompts, and AI platforms are changing, then refine the system as those conditions evolve.

    Investment
    $6,750/month
    Engagement
    Six-month minimum. Designed as an ongoing partnership.
    Best for
    Brands that want continuous monitoring, reporting, content refinement, and strategic support after the core foundation has been built.

    Includes

    • Ongoing buyer-prompt tracking
    • Monthly AI visibility and share-of-voice monitoring
    • Monthly competitor benchmarking
    • Citation and source-shift monitoring
    • Representation and accuracy review
    • Periodic technical and structured-data review
    • Semantic and entity refinement
    • FAQ and page updates as prompts shift
    • Strategic content recommendations
    • Periodic content refreshes within scope
    • Monthly reporting
    • Ongoing optimization plan
    • Strategic guidance as platforms and retrieval systems evolve
    [ Ongoing Visibility Partnership→]

*Begin Build within 14 days of your findings walkthrough and 100% of the $5,000 Diagnose fee will be credited to your first Build month. If you do not continue, you still keep the completed diagnostic, selected priority fixes, findings, and 90-day roadmap.

Detailed Scope

Scope Diagnose Build Grow
Primary outcome Establish the baseline, fix immediate blockers, and identify what comes next Repair the foundation and improve visibility Monitor, refine, and grow visibility over time
Roadmap Prioritized 90-day action plan Sprint plan and next-stage recommendations Ongoing visibility and optimization plan
Prompts and platforms Baseline prompt map and platform review Before-and-after tracking Monthly prompt and platform monitoring
Visibility and competitors Baseline share of voice and competitor snapshot Before-and-after benchmark Monthly share-of-voice and competitor tracking
Technical foundation Audit and essential foundational fixes across agreed priority pages Deeper technical and page-level implementation Periodic review and refinement
Schema and machine readability Essential schema and structural corrections Expanded implementation across priority pages and entities Maintenance and updates as needed
Entity, semantic, and citation signals Gap and source analysis Improvements and citation-gap actions Continuous monitoring and refinement
Content and FAQs Priority recommendations Answer-shaped pages, FAQs, comparisons, and updates within scope Periodic refreshes as prompts and sources shift
Measurement Baseline benchmark Before-and-after measurement Ongoing measurement
Reporting Diagnostic report and findings walkthrough Implementation and results report Monthly reporting and strategic guidance

04  /  Extend the engagement

Focused additions for brands with specific visibility, location, or content requirements.

Add-ons are scoped after Diagnose or added to an active Build or Grow engagement.

Local Discovery

Map the local entity system around your business.

Investment
+$3,000 added to Diagnose
Best for
Service businesses that depend on “near me” discovery, map results, Google 3-Pack visibility, and locally relevant AI recommendations.

Includes

  • Local Entity Map
  • Google Business Profile review
  • Local entity and business-information consistency
  • Local schema review
  • Citation and directory-signal analysis
  • Review-signal analysis
  • Local competitor snapshot
  • Local AI visibility opportunities
  • Prioritized local discovery recommendations

Semantic Content Sprint

Build the assets your buyers—and AI systems—need to find.

Investment
From $3,000 per sprint
Best for
Brands that need focused, answer-shaped assets around a service, product, category, comparison, or buyer question.

Includes

  • Prompt-informed content planning
  • Frequently asked questions
  • Service or product pages
  • Comparison pages
  • Answer-shaped content
  • Existing-page updates
  • Semantic and entity alignment
  • Internal-linking recommendations

Final deliverables are determined by the sprint scope.

05  /  When optimization is not enough

Brand OS — Website Design + Build

Your website is your brand’s source of truth.

Sometimes Diagnose shows that the existing website can be repaired.

Sometimes it reveals that the positioning, content architecture, design system, or underlying code cannot support the system the brand now needs.

We design and build websites that humans can feel and machines can understand, retrieve, trust, and cite—from the first line of code.

The work connects brand strategy, content architecture, visual and verbal identity, structured data, machine readability, and the technical foundation required for AI-mediated discovery.

Available as part of a full Brand OS engagement or as a custom website redesign.

Website Design + Build from $15,000

Final scope is set after a strategy conversation.

06  /  GXO Partnership

Generative Experience Optimization

Brand OS is the operating system. GXO is the operator.

Fractional CMO for the generative era.

GXO is an ongoing executive partnership for brands navigating AI-mediated discovery, agentic systems, and continuous technological change.

We connect brand strategy, AI visibility, content intelligence, digital infrastructure, agent workflows, customer signals, and performance—then measure, automate, and improve the system over time.

Operate. Automate. Measure. Evolve.

GXO Partnerships are custom-scoped based on the organization, internal team, existing infrastructure, and level of operational involvement required.

07  /  Coming soon

Agentic Commerce

The next interface of commerce: designed for humans, built for AI agents.

Agent-optimized experiences and workflows that move from discovery and recommendation to selection, checkout, and transaction.

FAQ

Start with Diagnose.

It establishes how AI systems currently understand, retrieve, represent, and cite your brand. From there, we determine whether you need an Optimization Sprint, an ongoing Visibility Partnership, a focused content or local-discovery engagement, or a larger Brand OS and website engagement.

Traditional SEO helps pages become discoverable and competitive in conventional search results.

AI visibility adds another layer: entity clarity, contextual depth, structured information, citation readiness, factual consistency, and corroboration across the sources AI systems rely on when assembling answers.

The disciplines overlap. AI visibility does not replace SEO. It expands the work for a discovery environment shaped by generated answers, recommendations, and agents.

Diagnose is a one-time engagement of $5,000.

If you begin Build within 14 days of your findings walkthrough, the full Diagnose fee is credited to your first Build month.

If you do not continue, you keep the completed diagnostic, selected priority fixes, findings, and 90-day roadmap.

Diagnose includes essential code, structure, schema, metadata, and machine-readability fixes across agreed priority pages that can be completed safely within the existing website architecture.

When the findings require deeper development, broader page restructuring, new content systems, or extensive implementation, we recommend Build or a Brand OS Website Design + Build engagement.

AI visibility compounds.

Technical and semantic improvements can begin registering within weeks, but responsible implementation requires more than publishing a few pages or adding schema.

The three-to-six-month window gives us time to repair the foundation, strengthen the relevant signals, measure changes, and make informed recommendations about what comes next.

The final duration depends on the condition of the existing website, the number of priority pages, the competitive category, and the agreed scope.

Grow begins after Build or when an equivalent technical and semantic foundation is already in place.

It is not a substitute for unresolved foundational work. It is the ongoing monitoring and optimization layer that keeps the system current as buyer prompts, competitors, sources, and AI platforms change.

There is no universal timetable.

Technical improvements may be detected relatively quickly. Citation and recommendation changes depend on category competition, existing authority, content depth, third-party corroboration, source availability, and how frequently platforms revisit the relevant information.

We report what changes, what does not, and what should happen next without manufacturing certainty.

We establish a baseline across tracked buyer prompts, AI visibility, share of voice, citation presence, representation accuracy, and competitor visibility.

Where the existing infrastructure allows, we also review AI-referred traffic, enquiries, conversions, and other commercial signals.

Diagnose establishes the baseline. Build measures the change before and after implementation. Grow monitors and improves performance over time.

We currently evaluate visibility across ChatGPT, Google AI Overviews and AI Mode, Gemini, Claude, and Perplexity.

The framework is platform-aware but not platform-dependent. It is designed to adapt as AI interfaces, models, source preferences, and retrieval systems evolve.

Usually not.

Diagnose determines whether the existing website can support the required work. Build repairs and improves the foundation within the agreed scope.

When the strategy, design, content architecture, or code requires a deeper rebuild, we scope the work as a Brand OS Website Design + Build engagement.

Not unless they are explicitly included in the proposal.

Hosting, paid media, premium software, external development services, platform subscriptions, and other third-party costs are identified separately before any commitment is made.

No.

AI search is probabilistic, and no responsible provider can promise a fixed citation, recommendation, ranking, or placement.

What we commit to is a tested framework, clearly defined deliverables, transparent measurement, documented recommendations, and work designed to improve the signals that influence machine understanding and retrieval.

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