Dialog vs TextYess (2026)

The agent acts in systems Dialog does not own, and a customer can add connections of its own. Dialog installs as a Shopify app and embeds through an SDK and CDN script that expose cart management and product fetching, so the agent adds to cart in the merchant's store instead of only advising.

Smart Reengagement captures a shopper's contact details in conversation and pushes them into the brand's connected email or CRM system. Developer mode adds external API calls, webhook triggers and custom rules, so the set of connections is not fixed. Reach extends onto external assistants including ChatGPT, Perplexity and Gemini, where the brand's own agent answers.

Sourceapps.shopify.com/dialog-ai-sales-assistant, npm SDK and askdialog.com/agentic-commerceread 2026-09-01

An official Meta Business Partner, TextYess ships a Shopify app. It connects to Shopify checkout, Klaviyo, Gorgias, Zendesk, Instagram and WhatsApp, and also to WooCommerce with real time product sync and a native Klaviyo integration. The agents take action in these tools. They sync orders into the merchant system, recover abandoned carts, verify cash on delivery orders and forward support tickets directly into Gorgias or Zendesk. These are commerce platform, marketing, helpdesk and messaging tools that TextYess does not own.

Sourceapps.shopify.com/textyess-1 and textyess.comread 2026-09-01

Dialog runs guided conversational sales flows that qualify a shopper's needs, recommend products with encoded recommendation logic and sequencing, and drive toward purchase. There is no complex multi step or multi agent orchestration.

Sourceaskdialog.com/agentic-commerceread 2026-10-01

Selling, support and retention run autonomously across channels. Conversations launch proactively, and every interaction from pre purchase to post sale is managed in one unified inbox, with automations such as abandoned cart recovery.

Sourcetextyess.comread 2026-10-01

The merchant's own customers start the agent's work, not the merchant's staff. A shopper's question on the homepage, a product page or search, or inside ChatGPT, Gemini, Claude or Perplexity, wakes the agent with no one at the merchant starting it, and a Smart reengagement module reaches back out to shoppers.

Sourceaskdialog.comread 2026-10-01

The assistant operates across on site chat, WhatsApp and voice in beta, and it launches conversations proactively. Event based automations such as abandoned checkout and post purchase follow ups fire on their own, alongside marketing campaigns at scale.

Sourcetextyess.comread 2026-10-01

The agent works from a structure built over the brand's own material, which Dialog calls encoding, not prompting. Dialog ingests the live catalog alongside the brand's documentation and content. The third encoding dimension, expertise, covers product knowledge, sales logic and recommendations, built on how the brand's best sellers advise.

That store persists, follows the catalog as it changes, and is read at conversation time to answer product questions and drive recommendations, with dynamic FAQs assembled from real shopper questions on top of it. Dialog says the agent is trained on the brand's catalog and tone, but what it describes is ingestion and retrieval, not fine tuning.

Sourceaskdialog.com/agentic-commerceread 2026-09-01

Replies are grounded in the product catalog, FAQs and site content. TextYess also uses customer behavioral data such as purchase and browsing history to generate tailored messages.

Sourcetextyess.comread 2026-10-01

Per-shopper state outlives the conversation. Smart Reengagement identifies hesitant shoppers on what they asked but did not buy and carries that into a follow-up, so the exchange is retained and read back instead of discarded at session end. No memory feature is named, scoped or given a lifetime. The persistent brand encoding of identity, guardrails and expertise is configuration, not memory.

Sourceaskdialog.com/solutions/smart-reengagement and askdialog.com/agentic-commerceread 2026-09-01

As an AI native CRM, TextYess persists customer profiles and behavioral history to personalize future conversations. It names no agent memory and does not say what the assistant keeps or for how long.

Sourcetextyess.comread 2026-10-01

Dialog encodes a brand across three dimensions, identity, responsibility and expertise. Responsibility covers guardrails, policies and escalation, the rules the brand sets for its customers. The agent hands off under conditions the brand defines, and the same interface lets a team tune how it answers, recommends and escalates. Dialog names the guardrails as a pillar but gives no detail on them. There is no per action gate, permission model or escalation configuration.

Sourceaskdialog.com/agentic-commerce, brand encoding sectionread 2026-09-01

People step into a conversation instead of approving messages first. The unified inbox lets a person take over any conversation the assistant is running, across WhatsApp, on site chat and voice, so a human can seize a live exchange that is going wrong. Messages send without a hold. The assistant replies autonomously in seconds around the clock and recovers carts on its own. TextYess names no approval queue, review step, autonomy setting or permission scope over what the assistant may say or offer.

Sourcetextyess.com and textyess.com/blog/textyess-vs-klaviyoread 2026-09-01

An AICPA SOC 2 badge and a GDPR badge appear on Dialog's site. Shopify's data governance belongs to Shopify, not Dialog. There is no named control for customers, such as single sign on, role based access control, audit logging or retention configuration, and no public SOC 2 report or trust portal.

Sourceaskdialog.com homepage badge rowread 2026-09-15

The custom tier lists enterprise grade security as a bundled feature, and the site uses SSL. TextYess names no attestation, certification, single sign on, role based access control, audit logging, encryption statement, retention configuration or sub-processor list, and it has no security or trust page. The platform holds WhatsApp conversation histories, order data and customer behavioral profiles for more than 160 merchants.

Sourcetextyess.com/pricing and textyess.comread 2026-09-01

Teams can review past conversations, and Conversation Insights logs and analyzes every question a shopper asks to surface recurring objections and gaps, with the SDK emitting positive and negative feedback events per response. Dialog calls this no black box. For a conversational agent the transcript is a genuine record of what it did. There is no audit log, run history, decision trace or record of which catalog item or rule produced a given answer, so the transcript is the only record. The analytics layer describes shopper behavior, not agent execution.

Sourceaskdialog.com/solutions/conversation-insights and the npm SDK feedback eventsread 2026-09-01

Every tier includes viewing conversation history. The AI Shopping Assistant holds those conversations, so its own exchanges are retained and readable across WhatsApp, on site chat and voice in one unified inbox. Real time analytics cover conversions, response times, campaign performance, customer intent, orders generated and revenue. TextYess names no run trace, tool call log or decision record, and does not say why the assistant recommended a given product or escalated a given conversation.

Sourcetextyess.com and textyess.com/pricingread 2026-09-01

Dialog is delivered only as a hosted service, embedded through a script, an npm package or a Shopify app, with nothing the customer selects. There is no region choice, data center disclosure, VPC, private tenancy or self hosted option. The developer mode option for an agent by country is audience segmentation, not data residency.

Sourceaskdialog.com/agentic-commerce and npmjs.com/package/@askdialog/dialog-sdkread 2026-09-01

The service runs only in the cloud. The pricing tiers differ on channels, message volumes and support, not on where anything runs. There is no region choice, VPC, private tenancy, self hosted or on premises option, and TextYess discloses no data centers. Because it runs on WhatsApp as a Meta Business Partner, message handling sits inside Meta's infrastructure, which the merchant does not choose.

Sourcetextyess.com and textyess.com/pricingread 2026-09-01

Four prebuilt agent modules ship by name, each with its own product page. AI Personal Shopper handles conversational discovery across the catalog, AI PDP Assistant answers questions and handles objections on the product page, Smart Reengagement identifies hesitant shoppers and captures contact details, and Conversation Insights turns conversations into merchandising and content signals. A brand switches these on instead of assembling them.

Sourceaskdialog.com solutions pages and site navigationread 2026-09-01

The AI Shopping Assistant comes prebuilt and connected to the brand's product catalog and order history. It answers product questions, recommends items and handles post purchase support without being built. Ready made automations ship alongside it, and a merchant switches them on instead of writing them. TextYess names abandoned cart recovery, post purchase follow up and cash on delivery order verification as examples, plus outbound campaign templates. It describes the set in product copy and offers no browsable library.

Sourceapps.shopify.com/textyess-1 and textyess.comread 2026-09-01

The model provider is not named, and the customer cannot select a model or route across providers. ChatGPT, Gemini and other assistants are places the agent is distributed, not model choices.

Sourceaskdialog.com/agentic-commerceread 2026-09-01

The platform runs its own assistant. TextYess names no model provider and no way for a merchant to select, route or bring a model. On the enterprise tier, dedicated AI model training means TextYess fine tunes a model on the merchant's data. That adjusts the model but does not let the merchant choose which model powers the product.

Sourcetextyess.com/pricing and textyess.comread 2026-09-01

The TypeScript SDK ships on npm as @askdialog/dialog-sdk, instantiated with an API key, with a CDN build exposing DialogSDK on the window for teams not using a package manager, and covering assistant interactions, product fetching, cart management, appearance customization and feedback events such as userSendPositiveFeedback and userSendNegativeFeedback. Alongside it, a developer mode triggers external API calls, injects custom rules, fires webhook triggers and manages multiple agents per country, catalog or persona.

Sourcenpmjs.com/package/@askdialog/dialog-sdk and askdialog.com/agentic-commerceread 2026-09-01

There is no API reference, endpoint, authentication scheme, SDK or MCP server, and no developer, documentation or status section on the site. The integrations into Shopify, Klaviyo, Gorgias and Zendesk reach from the platform into those tools, and merchants cannot build on TextYess through them. The custom ERP and CRM integrations on the enterprise tier are work TextYess performs for the customer.

Sourcetextyess.com/pricing and the textyess.com site mapread 2026-09-01

The customer runs an optimization loop on the agent, which Dialog calls Continuously test, evaluate and improve. It has four steps, all in one interface. Teams review past conversations, understand how users behave, fine-tune how the agent answers, recommends and escalates, and improve performance. Dialog frames it as no black box. The loop tunes and measures the agent's own behavior, not a downstream business metric. There is no A/B testing of agent versions.

Sourceaskdialog.com/agentic-commerceread 2026-09-01

The analytics track conversions, response times, campaign performance, customer intent, orders generated, revenue and return on investment. TextYess names no evaluation harness, scored test set, quality gate, sandbox or controlled comparison, and it publishes no measure of reply accuracy. Merchants have no stated way to test a change to the assistant before customers see it. Dedicated AI model training on the enterprise tier is tuning that TextYess does, not a tool the merchant uses.

Sourcetextyess.com and textyess.com/pricingread 2026-09-01

Dialog is an embedded conversational agent (including photo based multimodal input) but performs no browser automation or general computer use.

Sourceaskdialog.com/agentic-commerceread 2026-10-01

The assistant works through messaging channels and e-commerce integrations. It does not drive a browser or use a GUI.

Sourcetextyess.comread 2026-10-01