Give your Lovable or Bolt app a clearer path to purchase

Start with the purchase moment

A website can explain a product and still leave a purchase question unanswered. A visitor may already have selected the premium bundle, want one reason to pay more, or need a delivery detail before proceeding. A merchant’s sales assistant should make those moments easier to complete and make the case for a relevant higher-value option when the approved product facts support it.

That creates an opportunity to improve basket value and purchase progression. It does not establish a revenue increase. A working chat, a persuasive sentence and a completed payment are different outcomes. Evaluate the conversation first; measure commercial effects only with an agreed event definition and verified outcome evidence.

For a service built with Lovable or Bolt, the first decision is where the assistant belongs. Shopper-facing guidance belongs in the published app. A connector that helps the builder understand a project is a different experience. Adding a tool to the builder does not automatically add a sales assistant to the site your customers visit.

A small fictional preview before installation

The following catalog and conversations are invented for illustration. Assume the approved example catalog says Standard includes one item and Premium includes that item plus two refills. No prices, separate refill product or delivery policy have been supplied. This is not a customer transcript, a measured result or a claim about a particular store.

Shopper: “I already chose Premium. Just help me buy it.”
Agent: “Let’s keep Premium. It includes the item plus two refills. I’ll use the store’s approved purchase instructions for that bundle.”

Shopper: “Why should I pay more? Sounds like marketing.”
Agent: “Premium adds two refills. If your task needs those refills, that is the documented reason to consider it; approved prices are needed to compare cost.”

Shopper: “Will it arrive by Friday?”
Agent: “I don’t have an approved delivery policy or arrival estimate here. I’ll use the store’s published policy before promising a date.”

The first reply protects a premium decision instead of restarting qualification or pushing a cheaper plan. The second makes the premium case using a concrete difference without inventing a saving. The third keeps the sale grounded: an unsupported delivery promise can undermine the purchase it was meant to encourage. These are suggested response patterns, not a claim that live AI produced these lines.

Choose runtime chat or builder context

Lovable’s current documentation distinguishes app-and-chat connectors, personal chat connectors using MCP, and app-user connectors. Its custom REST connector can serve a workspace’s apps and builder conversations, while a personal MCP chat connector is not part of the published app. Custom connector creation in one workspace is not a global marketplace listing.

Bolt documents custom MCP connections that supply tools and information to a project’s building context. That can be useful for preparing or inspecting a project, but it is not proof that the published site contains a shopper chat. Bolt’s template catalog is another separate surface: being able to browse or copy a template does not establish that YieldGate is listed there.

The current YieldGate integration seam is a hosted storefront widget with a public installation site ID. A generated-app installation recipe can reuse that component after the site and its product information have been approved. Lovable- and Bolt-specific installation recipes are preparation work until they pass the actual app and domain checks. No native builder app, approved marketplace listing or general machine API is claimed here.

Prepare one merchant-controlled install

Begin with a public product page and one buying task, such as choosing a bundle or checking a documented usage limit. Review the product facts and the purchase destination that the assistant may use. Leave customer transcripts, account credentials and private order information out of this first preparation.

Use a site you are authorized to change. Confirm the actual custom domain and the published agent configuration before adding the installation recipe to the app. The public site ID identifies the intended installation; it is not an AI-provider key, owner login or permission to bypass publication checks.

Keep the change narrow. Add the reviewed loader once, check that navigating between pages does not create duplicate chat controls, and confirm how it is removed. Keep any provider secrets on the service side. If configuration is unavailable, show that state honestly; do not substitute a scripted answer and label it live AI.

A preview URL, a copied snippet and a successful local build are useful preparation evidence. They are not the same as a verified shopper-facing installation on the actual domain. Current quotas and service access also need their own check before a live conversation test.

The prepared React/Vite package has passed 40 offline fixture checks and a local build. Those checks exercise code and controlled responses; they are not a Lovable or Bolt account installation, a live AI reply or a sales result. A coordinated update and verification of the common hosted widget remains required before the new installation lifecycle can be used on a real site.

Prepared recipe status: The common hosted widget update required by these recipes has not been released or publicly verified. Keep the templates disabled. The package is useful for reviewing the code, wiring and local status; it is not an instruction to enable a live site now.

Download the prepared React/Vite starter ZIP, then read the installation guide. The archive includes the installer, React component, default-off example and both paste-ready prompts. No account credentials or active installation ID are included.

For an existing authorized React project, provide the package files and use the Lovable install prompt or Bolt install prompt. You must be signed in to your own project and have permission to change it. The prompts do not sign in, create a project or deploy for you.

Mount the supplied component once in the persistent app shell, outside route-specific screens. Begin with the literal disabled configuration:

<YieldGateSales enabled={false} siteId="" />

The supplied example starts with VITE_YIELDGATE_ENABLED=false and a blank VITE_YIELDGATE_SITE_ID. Only a real public installation ID belongs in the second field once the separate setup checks are complete. Do not enable the template just to make a local or shared preview appear connected.

Try a fictional product with live AI

Open the separate YieldGate live AI demo to ask about a fictional product: editable PDF export for a completed report. Reading and copying the example report are free; editable export is the paid feature. No price or purchase destination has been supplied.

When the service accepts an explicit Send, it uses the existing capped guest AI path and displays the successful API response. Opening the page checks configuration only and makes no model request. A configured status does not establish remaining capacity. Limits or service failures can stop a request; the demo does not automatically send, retry, restart a session or substitute a scripted AI answer. Keep customer information and credentials out of the questions.

This first-party synthetic QA page is separate from the merchant installation template. The merchant template remains off until its own domain, publication and hosted-lifecycle requirements are met. Embedding the QA page is limited to specifically reviewed test origins; this link does not promise general embedding compatibility. Assess each actual reply against the fictional facts and treat purchase or revenue outcomes as separate evidence.

Test sales behavior before counting revenue

Test a few independent buyer intentions rather than repeating one friendly opening. Include a buyer already committed to premium, a skeptical price comparison, a genuine limit mismatch, a low-intent browser and an unsupported delivery or billing question. Continue each conversation far enough to see whether the agent remembers the prior answer and offers a relevant next step.

Review the outcome against approved facts. Did it preserve a stated premium choice? Did it explain the business value of a relevant higher tier? Did it ask a useful question rather than restart a generic intake? Did it avoid inventing prices, discounts, urgency or a checkout action? A more expensive recommendation is useful only when the product evidence and buying task support the case.

Track technical and commercial evidence separately. A visible chat control confirms rendering. A successful response confirms that specific exchange. A purchase action and a payment require their own evidence. Only a properly scoped comparison with verified purchase outcomes can support a claim about conversion or revenue effects.

YieldGate / OraXLabs is preparing this merchant-first installation approach for generated apps. Start with one public product URL and one purchase question, then inspect a small conversation preview before considering a larger installation. The examples above are editorial illustrations; platform-specific installation and live response claims require separate verification.

Sources & scope

• Lovable connector types — Observed 2026-10-27
• Lovable custom connectors — Observed 2026-10-27
• Bolt MCP servers — Observed 2026-10-27
• Bolt template catalog — Observed 2026-10-27

Sources were checked on the dates above. The checklist and interpretation are YieldGate / OraXLabs editorial analysis, not a claim of measured customer performance. This guide was developed with AI assistance and a separate fact and editorial review. Product capabilities mentioned as general patterns are not a statement of YieldGate availability.