What Fluxo is
Fluxo works on the merchant’s side of agentic commerce. It is built for brands, ecommerce merchants, and growth teams that want to capture demand from AI shopping agents. Its focus spans product discovery, consideration, and conversion, connecting what a buyer needs with what a merchant can responsibly sell.
Our thesis: merchants must serve humans and agents
A human shopper may browse images, reviews, and product pages. An AI buyer agent may retrieve product attributes, compare evidence, check delivery conditions, and act on a purchase instruction. Both need trustworthy information, but the interaction can look very different. A product being visible is only the beginning: it must also be suitable, credible, available, and purchasable on acceptable terms.
Fluxo’s direction is to help merchants manage this journey as a growth channel. Product knowledge supports discovery and answers; commercial rules guide offers and responses; observed interactions and orders inform the next decision. The goal is useful demand and profitable orders, rather than treating every AI mention as business growth.
This page explains the product direction and intended workflows. Current availability and the agentic commerce roadmap are separated below; individual channels and actions must be confirmed for your business.
Who Fluxo is for
Fluxo is focused on merchants selling physical products, including beauty and personal care, apparel, and home and living. Founders, ecommerce teams, growth marketers, and agencies can use the approach to connect product information with commercial goals. Fit depends on catalog quality, available connections, and the specific workflow; a large catalog or an existing AI audience should not be assumed prerequisites.
The agentic commerce funnel: Discover, Evaluate, Buy
Discover: help AI agents find your products
Discovery starts with accessible, accurate product information. Titles, categories, attributes, variants, and use cases help an agent understand whether a product matches a buyer’s request. AI visibility, product feeds, catalog enrichment, and relevant distribution each play a role. Fluxo’s approach combines readiness with reaching appropriate demand through supported channels.
Evaluate: give AI agents reasons to trust
During consideration, an agent may ask whether a product is compatible, suitable, in stock, or supported by evidence. Reliable specifications, approved claims, pricing, delivery information, and return terms help it evaluate the purchase. Fluxo’s merchant-agent direction is to give consistent answers grounded in the merchant’s information, while identifying questions that need human confirmation.
Buy: turn AI traffic into sales
Purchase intent still has to meet practical conditions: the selected variant must be available, the offer must be valid, and the checkout path must work. Some buyers arrive from AI referrals; others may purchase within an agent experience. Fluxo’s roadmap connects relevant products and permitted offers to the supported purchase path. Payment authorization and order acceptance remain with the appropriate buyer, merchant, and commerce systems.
The intelligence behind every agentic sale
A useful response combines buyer intent with merchant context. The inputs depend on what the business supplies and authorizes:
- Product catalog, variants, and specifications
- Approved claims and supporting evidence
- Current prices and eligible offers
- Inventory and fulfillment constraints
- Shipping, delivery, and return policies
- Margin floors and business goals
- Buyer requirements shared by the channel
- Available campaign, interaction, and order data
These inputs help answer practical questions: which product fits, what can be promised, whether an offer is appropriate, and when a person needs to decide. Missing margin, stock, or delivery data is an uncertainty to resolve, not a reason to invent an answer.
Inbound and outbound agentic commerce
Fluxo’s roadmap includes two complementary ways of serving agentic demand.
Inbound: respond when shopping agents come to you
A shopping agent may request product facts, availability, delivery terms, or an offer that meets its buyer’s conditions. A merchant agent is intended to respond using authorized business information and rules. Depending on the integration, the next step could be a product recommendation, a permitted offer, a checkout handoff, or a request for human approval.
Outbound: bring relevant products and offers to agents
Outbound distribution means making products or eligible offers available through connected AI discovery, advertising, or partner channels. It requires an actual channel connection and permission to participate. A protocol or product feed alone does not guarantee placement, reach, or a recommendation.
Both directions should use the same product facts and commercial limits. An inbound answer should not promise something an outbound offer or the merchant’s checkout cannot honor.
A practical example
Suppose a buyer asks an agent for a fragrance-free moisturizer under $30, delivered by Friday. Discovery requires the product to be findable for those attributes. Evaluation requires evidence for the fragrance-free claim and clear delivery information. Purchase requires an available variant, an accurate total, and an authorized checkout route.
In the intended Fluxo workflow, the merchant’s data would guide the response at each step. If a delivery deadline cannot be verified, the answer should say so. If an offer would break the merchant’s margin floor, it should not be proposed. This is an illustrative scenario, not a claim of a live integration or a customer result.
Customer control, approvals and automation
Merchant goals and permissions govern the work. For an agentic workflow, that means defining eligible products and offers, pricing limits, stock constraints, approval requirements, and the information an agent may share. A buyer’s price request does not give an agent permission to change the merchant’s price or disclose private margin data.
Existing campaign workflows support customer-defined permissions and approvals. Agentic selling controls depend on the specific integration and rollout. Confirm the available actions and approval process during onboarding, and review permissions when business conditions change.
Measure discovery, trust, and commercial outcomes
- Discovery: product eligibility, mentions, citations, and recommendations where the channel provides observable evidence.
- Evaluation: questions answered, information gaps, product engagement, and offer responses where available.
- Purchase: attributable orders, conversion rate, revenue, and contribution after discounts and relevant costs where those inputs exist.
An AI mention is not an order, and an order following a visit does not automatically prove incremental revenue. Fluxo’s learning direction depends on observed feedback: which requests arrived, which responses were made, and which outcomes can be linked. It should not assume access to competitors’ offers, hidden agent reasoning, or every lost sale.
How this relates to SEO, GEO, AEO, and ACO
Search engine optimization (SEO) helps search engines understand and surface pages. Generative engine optimization (GEO) and answer engine optimization (AEO) focus on visibility and accurate representation in AI-generated answers. Agentic commerce optimization (ACO) extends attention to product interpretation, eligibility, evaluation, and buying conditions. These areas overlap; their terminology and scope vary by provider.
Fluxo’s positioning connects these discovery concerns with merchant-side selling: responding to requests, distributing relevant offers, respecting business rules, and learning from available outcomes. It is intended to work with commerce platforms and channels, not replace the merchant’s store or claim control over an AI platform’s ranking.
Current availability and product direction
Meta Ads, Google Ads, and Shopify integrations are live. These connect advertising and commerce workflows. Campaign optimization provides a foundation of business goals, offers, performance evidence, and controlled actions. The agentic commerce direction extends that context toward AI discovery, inbound merchant-agent responses, and outbound product and offer distribution.
Confirm AI discovery access, store compatibility, channel coverage, and permitted actions with Fluxo for your setup. Platform logos on the website are ecosystem illustrations, not a list of certified integrations. Autonomous negotiation, direct agent checkout, and universal distribution should not be assumed live.
The longer-term thesis is to connect buyer intent, merchant offers, and observed outcomes so future interactions improve. An intent-offer graph and an agentic offer network are future concepts, not established network effects or guarantees of access to buyer demand.
Getting started
- Share your website, product category, and growth objectives.
- Review product information, buyer questions, and buying conditions.
- Confirm available integrations and define the first workflow.
- Agree data access, merchant rules, and approval requirements.
- Choose measurable outcomes and review the evidence as the workflow runs.
Agentic commerce terms and protocols
- AI shopping agent / buyer agent
- Software helping a buyer discover, evaluate, or purchase products within the buyer’s instructions and authority.
- Merchant agent
- An agent acting for a business, using approved product knowledge and commercial rules to respond to buying needs.
- Agentic demand
- Product interest, questions, and purchase requests initiated or mediated by AI agents.
- Product knowledge / catalog enrichment
- Structured product facts, attributes, evidence, and policies that help systems interpret and evaluate an item.
- AI referral traffic / agentic checkout
- Referral traffic brings a visitor from an AI experience to a website. Agentic checkout involves an agent participating in a supported purchase flow. They are different events.
- Model Context Protocol (MCP)
- A standard for connecting AI applications with external tools and data. It is not itself a commerce marketplace or payment authorization. Read the MCP introduction.
- Universal Commerce Protocol (UCP)
- A common framework for commerce capabilities across agents, businesses, and commerce services. Read the UCP documentation.
- Agentic Commerce Protocol (ACP)
- An open specification for programmatic purchase interactions among buyers, agents, and businesses. Read the ACP documentation.
- Ad Context Protocol (AdCP)
- A protocol for advertising workflows between agents and platforms, including discovering, buying, and measuring media. Read about AdCP.
These protocols describe the surrounding ecosystem. Listing them does not claim that Fluxo implements every protocol or has access to every platform.
Data handling and limitations
Fluxo processes customer-authorized information to provide its services. Its Privacy Policy states that private customer, campaign, and commerce information is not used to train generalized, shared, or cross-customer models without separate, explicit written consent. Read the Privacy Policy for processing, retention, and deletion terms.
AI outputs can be incomplete or inaccurate. Fluxo does not guarantee recommendations, rankings, orders, revenue, or return on spend. The Terms of Service describe customer responsibilities and authorized actions.
Frequently asked questions
- What is Fluxo, and who is it for?
- Fluxo is an agentic commerce growth platform for brands and merchants selling physical products. Its agents are designed to promote your products to AI shopping agents, answer their questions, and help turn interest into orders. Fluxo works on the merchant’s side, using your product information and business rules to support discovery, evaluation, and purchase.
- What is agentic commerce?
- Agentic commerce is shopping in which AI agents help people discover products, compare options, and take steps toward a purchase. Some journeys send shoppers to your website; others let an agent act within an AI platform. Fluxo’s focus is helping your business serve this demand, wherever supported connections make it possible.
- How is Fluxo different from SEO or AI visibility tools?
- SEO helps people find your website through search. AI visibility tools measure whether AI systems mention, cite, or recommend your brand. Fluxo’s approach extends across the buying journey: help agents find suitable products, evaluate reliable product information, and move toward an order. Visibility matters, but the business goal is sales within your stock, pricing, and margin rules.
- Does Fluxo reach shopping agents or respond to them?
- Both are part of Fluxo’s agentic commerce roadmap. Outbound means bringing relevant products and offers to shopping agents through connected distribution channels. Inbound means responding when a shopping agent asks about products, availability, delivery, or offers. The goal is to use the same product knowledge and merchant rules in both directions; availability depends on the channel and integration.
- How can Fluxo help AI agents trust my products?
- Agents need more than promotional copy to assess a product. They need accurate specifications, current pricing and stock, clear delivery and return terms, and evidence for product claims. Fluxo’s approach is to bring this information together so agents can assess product fit and get consistent answers. Product claims should come from verified business information, not invented benefits or reviews.
- What information does Fluxo need from my business?
- Start with your website and product catalog. Depending on the workflow, Fluxo may also need product attributes, pricing, available inventory, approved offers, shipping and return policies, and your business goals. Margin limits and permission settings help define which actions are appropriate. Required connections and data access are agreed during onboarding.
- Do I stay in control of prices, offers, and actions?
- Merchant control is central to Fluxo’s approach. Your approved prices, eligible offers, inventory, and margin limits define what an agent may propose. An agentic workflow should only act within the permissions agreed for that integration, with approval required for actions outside those permissions. Discuss the available controls for your setup during the demo.
- Which platforms and workflows can I use today?
- Meta Ads, Google Ads, and Shopify integrations are live. Fluxo connects advertising and commerce workflows through these integrations. The broader agentic commerce roadmap includes AI discovery, inbound merchant-agent responses, and outbound product and offer distribution. Confirm availability for your store, region, and intended AI channel with Fluxo before connecting. Logos on this website illustrate the AI shopping ecosystem; they do not mean every integration or direct checkout flow is live.
- Can Fluxo guarantee AI recommendations or sales?
- No. Shopping agents and their platforms decide what to retrieve, recommend, and allow buyers to purchase. Fluxo’s goal is to improve the information, relevance, and buying conditions those decisions depend on. Mentions, citations, recommendations, visits, and orders are different outcomes; sales should only be attributed where connected channel and order data support it.
- How do I get started with Fluxo?
- Book a demo and share your website, product category, and growth priorities. We can discuss how your products are discovered and evaluated today, what information or buying steps need attention, and which Fluxo workflows and integrations fit your business.
- Is Fluxo a shopping agent for consumers?
- No. A buyer’s shopping agent represents the person looking for a product. Fluxo is built for the merchant responding to that demand: presenting suitable products, providing reliable answers, and working within the merchant’s commercial rules. The buyer or their authorized agent still decides what to purchase.
- Does being cited by AI mean my products will sell?
- No. A citation means an AI answer references a source. A mention names your brand, while a recommendation proposes a product. An order is a separate commercial event. Fluxo’s thesis connects these stages, but a citation or visit should never be reported as a sale.
- Do I need to replace my store or checkout?
- Fluxo’s approach is to work with your existing commerce systems and approved channels. Product data, stock, policies, and orders remain grounded in those systems. The checkout route and any required setup depend on the integration; confirm compatibility before making changes to your storefront or payment flow.
- Can agents negotiate discounts or custom orders with Fluxo?
- Responding to purchase conditions is part of the merchant-agent roadmap. A buyer might specify a budget, delivery deadline, bundle, or quantity. Any supported response must respect approved offers, available stock, and merchant limits. Autonomous negotiation, custom order handling, and fulfillment commitments should not be assumed available without confirmation for that workflow.
- How should agentic commerce performance be measured?
- Track discovery through product visibility and recommendations; evaluation through questions, information gaps, and product or offer engagement; and purchase through attributable orders, conversion, and revenue. Where costs are available, assess contribution after discounts and relevant costs. Separate observed events from estimates, and avoid attributing an order to an AI channel without supporting data.
- What are MCP, UCP, ACP, and AdCP?
- MCP connects AI applications to tools and data. UCP provides a common framework for commerce capabilities. ACP defines programmatic purchase interactions among buyers, agents, and businesses. AdCP standardizes advertising workflows between agents and platforms. These describe parts of the ecosystem, not a list of live Fluxo integrations; protocol compatibility alone does not provide distribution, buyer consent, or checkout access.
- Does llms.txt make a brand rank in AI answers?
- No. An llms.txt file offers a readable overview and links to authoritative information for systems that choose to use it. It does not guarantee crawling, citations, recommendations, or sales. Accurate public content, accessible product information, and supported commerce connections remain separate requirements.
- Will private business data train shared AI models?
- Fluxo’s Privacy Policy states that private customer, campaign, and commerce information is not used to train generalized, shared, or cross-customer models without separate, explicit written consent. Data access depends on the services you authorize. Review the Privacy Policy and your agreement for the applicable processing, retention, and deletion terms.