Get Your Business and Products Chosen by AI
AI agents are already researching vendors, evaluating products, and recommending businesses to buyers, all without a human ever visiting your website. For service businesses, that means AI is choosing which agency, consultant, or provider to recommend.
For e-commerce brands, it means AI is choosing which products to surface, evaluate, and purchase through platforms like Google AI Mode and Gemini. Is your business the one AI recommends, or the one it skips?
New to agentic commerce? Read our complete guide to what agentic commerce is and how AI agents make purchasing decisions.
AI Agents Are Choosing Your Competitors: Here’s Why
Most businesses are invisible to AI agents because their digital infrastructure was built for human visitors, not machine evaluation. Whether you sell services or products, if your business has any of these gaps, AI agents are skipping you right now:
❌ Your services, products, pricing, and credentials are buried in unstructured content AI cannot extract
❌ Your business and product information is inconsistent across your website, Google Business Profile, and directories
❌ You have no schema markup telling AI systems who you are, what you offer, and who you serve
❌ Your Merchant Center feed has gaps, errors, or missing attributes that suppress AI-native product discovery
❌ Your review profile is thin, generic, or missing the specific attribute signals agents evaluate
❌ AI agents that search for your category or products return your competitors, not you
❌ You have no way to track whether AI systems are citing, recommending, or purchasing from your business at all
Every day your infrastructure is not built for agentic discovery is a day AI agents are sending your ideal clients and customers somewhere else.
Agentic Commerce Infrastructure That Makes Your Business the Recommendation
We build the structured data, schema architecture, entity signals, and content infrastructure that AI agents read when they evaluate whether your business or products are worth recommending. The result is a digital presence that works for two audiences simultaneously: the humans who visit your website, and the AI agents that evaluate, recommend, and purchase on behalf of buyers.
For service businesses and B2B companies:
✅ Schema architecture that declares your services, pricing, credentials, and authority to AI systems
✅ Entity consistency audit and cleanup so AI agents confidently identify and verify your business
✅ Answer-first content restructuring so AI engines extract and cite your business in direct answers
✅ Review strategy that builds the specific, attribute-rich signals AI agents use to qualify providers
✅ AI citation tracking so you know exactly where and how often AI systems recommend your business
✅ Direct injection positioning so AI agents recommend you by name at the moment of buyer intent
For e-commerce brands:
✅ Google Merchant Center feed audit and cleanup to resolve errors, missing GTINs, and attribute gaps
✅ Product schema implementation so AI agents can evaluate and surface your products with confidence
✅ Conversational commerce attributes for AI-native discovery in Google AI Mode and Gemini
✅ UCP readiness assessment and waitlist preparation for AI-native checkout on Google’s AI surfaces
✅ Review and rating signal optimization so agents can verify product quality and match buyer criteria
✅ AI visibility tracking across ChatGPT, Perplexity, and Google AI Overviews for your product category
The result: your business and products show up when AI agents go looking, and get chosen when they evaluate.
Everything Included in an Agentic Commerce Engagement
Agentic Commerce Readiness Audit
– Current AI visibility assessment across ChatGPT, Perplexity, and Google AI Overviews
– Schema markup coverage review and error identification
– Entity consistency audit across your website, Google Business Profile, and key directories
– Content structure assessment for AI extractability
– Merchant Center feed health check (e-commerce clients)
– Competitor AI citation analysis for your target query categories
– Written audit report with prioritized recommendations and effort estimates
Schema Architecture and Implementation
– Organization schema with sameAs entity links to verified external profiles
– Service schema on all service pages with pricing where applicable
– FAQPage schema on all key pages with validated JSON-LD and microdata
– LocalBusiness schema with explicit service area declarations (service businesses)
– Product and Review schema implementation (e-commerce clients)
– Article schema on blog posts with author and date attribution
– Schema validation and error resolution using Google Rich Results Test
Entity and Content Infrastructure
– Canonical entity document establishing your exact business data across all platforms
– NAP consistency cleanup across directories, GBP, and website
– Answer-first content restructuring on your highest-priority pages
– FAQ section development with direct, self-contained question-and-answer pairs
– Review strategy playbook for generating specific, attribute-rich review content
– llms.txt file creation and verification
E-Commerce AI Readiness (e-commerce clients)
– Google Merchant Center feed audit and error resolution
– Conversational commerce attribute implementation for AI-native discovery
– UCP readiness assessment and waitlist preparation
– Product data quality scoring against AI agent evaluation criteria
– GA4 AI referral channel group setup for tracking AI-driven revenue
AI Visibility Tracking Setup
– Target query list development (15 to 25 prompts across branded, category, and comparison queries)
– Manual audit baseline across ChatGPT, Perplexity, Google AI Overviews, and Gemini
– GA4 AI referral channel group configuration
– Recommended tool setup for ongoing automated monitoring
– Monthly tracking cadence and reporting template
Strategy and Reporting
– Kickoff strategy session to establish baseline and prioritize implementation
– Written implementation plan with timeline and ownership
– Mid-engagement check-in and progress review
– Final deliverables report with before-and-after AI visibility comparison
– Recommendations for ongoing optimization and next-phase priorities
How an Agentic Commerce Engagement Works
Phase 1: Agentic Readiness Audit (Week 1 to 2)
We establish your baseline before making any changes. This phase produces a complete picture of where your business currently stands in AI search:
– Run your target queries across ChatGPT, Perplexity, Google AI Overviews, and Gemini
– Audit schema coverage, entity consistency, and content extractability
– Review Merchant Center feed health (e-commerce clients)
– Analyze competitor AI citation positioning in your category
– Deliver a written audit report with prioritized findings and effort estimates
– Kickoff strategy session to align on priorities and implementation sequence
Phase 2: Foundation Build (Weeks 3 to 5)
We implement the highest-impact infrastructure fixes first, the ones that unlock AI visibility across all platforms simultaneously:
– Schema markup implementation and validation across priority pages
– Entity consistency cleanup across your website, GBP, and key directories
– Canonical entity document creation
– llms.txt file creation and verification
– Merchant Center feed error resolution and attribute enhancement (e-commerce clients)
– GA4 AI referral channel group configuration for revenue tracking
Phase 3: Content and Signal Infrastructure (Weeks 5 to 7)
We restructure your content and build the third-party signals AI agents use to verify your credibility:
– Answer-first content restructuring on priority service and product pages
– FAQ section development with validated schema on all key pages
– Review strategy playbook delivery and implementation guidance
– Conversational commerce attribute implementation (e-commerce clients)
– UCP waitlist preparation and Merchant Center optimization (e-commerce clients)
– Target query testing to confirm AI visibility improvements
Phase 4: Tracking, Reporting, and Handoff (Week 8)
We close the engagement with a documented baseline, working tracking infrastructure, and a clear roadmap for ongoing optimization:
– Full manual AI visibility re-audit across all target queries and platforms
– Before-and-after AI citation comparison report
– Ongoing monitoring tool setup and prompt library handoff
– Recommendations report for next-phase priorities
– Final strategy session and team handoff
Timeline: Standard engagements complete in 8 weeks. Scope varies based on site size, number of target platforms, and existing infrastructure gaps identified in the audit.
Ongoing retainers available for clients who want continuous schema maintenance, content optimization, citation monitoring, and quarterly AI visibility reporting as AI platforms evolve.
Is Agentic Commerce Strategy Right for Your Business?
This service is the right fit if you:
✓ Run a service business, agency, or B2B company where a single new client has significant lifetime value
✓ Sell products online and want to be discoverable and purchasable through Google AI Mode, Gemini, and ChatGPT
✓ Currently rely on referrals, word of mouth, or search visibility to generate leads and sales
✓ Have noticed your business is not appearing when you search for your own category in ChatGPT or Perplexity
✓ Want to build first-mover AI citation advantage before your competitors realize the shift has happened
✓ Have an existing website and Google Business Profile that need to be optimized, not rebuilt from scratch
✓ Are willing to invest in infrastructure that compounds in value over time, not just short-term traffic
This service is not the right fit if you:
❌ Need immediate leads this week. Agentic commerce infrastructure produces compounding results over 6 to 12 weeks, not overnight
❌ Do not have a functioning website. We optimize existing infrastructure, we do not build from zero
❌ Are looking for someone to write generic blog content. Every deliverable in this engagement is technical, structural, and strategic
❌ Want to set it and forget it. The AI landscape evolves continuously and ongoing attention produces the best long-term results
Best suited for: Professional service firms, consultants, marketing agencies, law firms, healthcare practices, home service businesses, SaaS companies, B2B vendors, and e-commerce brands in competitive categories where AI-driven discovery is already influencing buyer decisions.
Agentic Commerce Strategy Pricing
Agentic commerce engagements are billed at $150 per hour. Most engagements fall into one of three scopes depending on your existing infrastructure and goals.
Agentic Readiness Audit Only ($750 to $1,500)
A standalone audit for businesses that want a clear picture of where they stand before committing to a full implementation. Includes the full readiness audit, written report, prioritized recommendations, and a 60-minute strategy session. Ideal for businesses with internal resources who need expert direction. Most audits complete in 5 to 10 hours.
Best for: Businesses with in-house marketing or technical teams who can implement recommendations independently.
Foundation Engagement ($3,000 to $6,000)
The full 8-week engagement covering all four phases: audit, schema and entity foundation, content and signal infrastructure, and tracking setup. Includes all deliverables listed above and two strategy sessions. Scoped to your specific gaps after the audit. Most foundation engagements run 20 to 40 hours depending on site complexity and number of target platforms.
Best for: Service businesses and e-commerce brands that want the full infrastructure built and handed off with a clear ongoing roadmap.
Ongoing Retainer ($1,500 to $3,000/month)
Monthly engagement for continuous schema maintenance, content optimization, citation monitoring, new page optimization, and quarterly AI visibility reporting. Includes a monthly strategy call and written report. Recommended for businesses in competitive categories where AI citation positioning is actively contested.
Best for: Agencies, professional service firms, and e-commerce brands in high-competition categories that want sustained AI visibility management.
Not sure which scope fits your situation? Book a free 30-minute strategy call and we will assess your current agentic readiness and recommend the right starting point. No pitch, no pressure.
The Three Layers of Agentic Commerce Authority
Every agentic commerce engagement we run follows the same three-layer framework. Each layer builds on the one before it. Skip a layer and the system does not work. Complete all three and your business becomes the default recommendation AI agents return for your category.
Layer 1: Structured Data Architecture
AI agents do not read websites the way humans do. They extract structured data, including discrete facts about your business, services, products, pricing, availability, and authority signals, and reassemble them into responses. If your data is buried in long paragraphs, inconsistent across pages, or missing entirely, the agent either skips your business or misrepresents it.
We organize your brand’s knowledge into clean, modular data using schema markup and entity architecture, with each element optimized for AI extraction. Every service, price point, product attribute, differentiator, and credential gets structured so any AI agent, on any platform, can accurately lift and cite it at any time.
Layer 2: Transactional Signals
Knowing your business exists is not enough. AI agents need clear signals that tell them your business is ready to transact, meaning there is a bookable service, a purchasable product, a defined price, and a clear next step. Without these signals, even a well-known brand gets passed over in the agentic workflow.
We implement advanced schema markup including Service, Offer, PriceSpecification, and booking action schema for service businesses, and Product, Review, and Merchant Center optimization for e-commerce brands. This is the difference between being found
Layer 3: Direct Injection Positioning
The highest-value outcome in agentic commerce is not a click. It is a direct injection. A direct injection occurs when an AI agent proactively recommends your business or product by name at the exact moment a user expresses intent to buy. No search results page. No comparison shopping. Your brand, cited as the answer.
We optimize your entire digital presence, including website architecture, content structure, schema, Google Business Profile, and citation profile, so AI agents consistently select your brand as the primary recommendation when your ideal customer asks. Direct injection leads and purchases arrive pre-qualified because the AI has already done the evaluation.
Ready to Make Your Business the AI Recommendation?
AI agents are already choosing which service providers to recommend and which products to surface. Book a free 30-minute strategy call and we will assess your current AI visibility, identify your biggest agentic commerce gaps, and recommend the right starting point for your business.
No pitch. No pressure. A clear picture of where your business stands in AI search today.
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