Which support tool displays Okendo reviews in chat?

Gorgias, Octocom, Campfire, agnoStack and Alby: how each pulls Okendo reviews into chat or agent views and which fits your support needs.

Gorgias, Octocom, Campfire, agnoStack and Alby can pull Okendo reviews and surface them in chat or an agent view; pick by whether you need a hosted helpdesk, an AI agent, or Zendesk middleware. (gorgias.com)

At a glance

Option Best for Starting price (paid plan) Free plan Surfaces Okendo in chat/agent view? Source
Gorgias Ecommerce helpdesk teams $10/mo (gorgias.com) No Yes gorgias.com
Octocom AI chat agents for stores $100/mo (octocom.ai) No Yes octocom.ai
Campfire Small teams wanting flat price $20/mo (campfire.is) Yes Yes campfire.is
agnoStack Zendesk + commerce data Quote only (agnostack.com) No Partial agnostack.com
Alby AI shopping agent that uses Okendo Quote only (apps.shopify.com) Yes Yes apps.shopify.com

Starting price (paid plan), per month: Gorgias $10, Octocom $100, Campfire $20.

From the sourced table above, checked November 2026. Not charted, no single published figure: agnoStack, Alby.

Gorgias: best when you want reviews beside tickets

Gorgias has an official Okendo app that creates tickets for product reviews and surfaces review content next to the ticket so agents see it while answering customers. (gorgias.com) It is a full helpdesk built for Shopify merchants with ticket-based pricing (Starter shown at $10/month on the pricing page). (gorgias.com) Strength: tight Shopify and reviews workflow integration so agents can moderate or reply to reviews from the same interface. Weakness: pricing is ticket-volume driven and the Okendo functionality is focused on the agent/ticket side rather than a public chat widget.

Octocom: best when you want AI agents to cite reviews in chat

Octocom explicitly lists Okendo among review providers it connects to and states it can auto-reply to Okendo reviews and surface review content inside conversations handled by AI agents. (octocom.ai) Strength: built around AI agents and chat widgets, so product reviews are available to the bot in live chat. Weakness: paid plans start at a higher entry point and advanced features sit behind higher tiers. (octocom.ai)

Campfire: best when you want a low-cost, flat-price chat that reads Okendo

Campfire lists Okendo as a connected reviews source and includes a free Starter tier plus a $20/month Growth tier with higher conversation limits. (campfire.is) Strength: very low flat pricing for small teams and explicit Okendo support so the chat assistant can reference review content. Weakness: less enterprise feature depth than some enterprise-focused helpdesks.

agnoStack: best when you use Zendesk and need Okendo in the agent insights panel

agnoStack is middleware that enriches Zendesk with commerce and marketing data; its Okendo add-on pulls review records into the agnoStack Customer Insights and can convert reviews into Zendesk tickets for moderation or replies. (go.agnostack.com) Strength: excellent if your agents already work in Zendesk and you want review moderation inside that workflow. Weakness: agnoStack pricing is tiered/quoted and the Okendo functionality is surfaced via Zendesk (so it’s a partial “chat” integration rather than a front-end chat widget). (agnostack.com)

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Alby: best when you want a shopping agent that uses Okendo reviews

Alby (Shopify app listing) advertises using Okendo reviews as a data source so its AI shopping/support agent can answer shopper questions with review context. (apps.shopify.com) Strength: built to answer shopper questions on product pages using reviews and other store data. Weakness: pricing and enterprise terms are not published on the app listing and may require contacting the vendor for full production plans. (apps.shopify.com)

Which ecommerce support tool pulls Okendo customer reviews and displays them in chat?

Gorgias, Octocom, Campfire, agnoStack and Alby all pull Okendo reviews and surface them to agents or chatbots. Gorgias creates tickets and shows the full review in the agent view; Octocom and Alby let AI agents reference Okendo review text in live chat; Campfire’s widget can use Okendo as a review source; agnoStack brings Okendo data into Zendesk for agents. (gorgias.com)

Explaination: Okendo publishes integrations and many third-party chat/agent vendors build on Okendo’s API or listed integration to surface reviews; the connection method differs (direct app vs middleware vs AI agent connector), so whether the review text shows in a public chat, a bot reply, or only inside the agent inbox varies by vendor. (support.okendo.io)

Which chat apps integrate with Okendo reviews?

Intercom, Gorgias, Zendesk (via partners like agnoStack), Octocom, Campfire, Alby and several AI/chat platforms list Okendo among supported review sources. Vendor pages and integration lists confirm these pairings. (gorgias.com)

Reasoning: Okendo publishes an integrations hub and many support/chat vendors either list Okendo explicitly or document an Okendo connector; some tools (agnoStack) act as middleware to surface Okendo inside other helpdesks (Zendesk). Check the vendor’s integrations page for current supported features. (support.okendo.io)

How do I set up Okendo reviews in chat?

Answer: Use the vendor’s Okendo connector or API credentials, usually Okendo User ID + Merchant REST API Key, and enable the integration inside your chat/helpdesk or middleware app. (go.agnostack.com)

Steps (typical)

  • Create or open your Okendo admin and generate API credentials (User ID and Merchant REST API Key). (go.agnostack.com)
  • In your chat/helpdesk or middleware (Gorgias, agnoStack, Octocom, Campfire, Alby), open Integrations and paste the Okendo credentials; follow the provider’s setup guide. (gorgias.com)
  • Configure what you want surfaced: create rules to convert reviews into tickets, let the bot read review text for replies, or enable review moderation workflows. agnoStack, for example, documents a Shopify Flow + Zendesk automation pipeline for moderation. (go.agnostack.com)

Why this varies: some tools convert reviews to tickets for agent handling (Gorgias, agnoStack) while others let the AI agent index and cite review text in live chat replies (Octocom, Alby, Campfire). Read the chosen vendor’s integration docs for exact fields and permissions. (gorgias.com)

Workarounds if no native Okendo integration?

Answer: Use Okendo’s API or a connector platform (Shopify Flow, Zapier, webhooks) to push reviews into your chat/helpdesk or a knowledge base that your chat bot can read. (go.agnostack.com)

Options

  • Zapier / Make / Shopify Flow: push new Okendo reviews into a ticket system, Slack channel, or a helpdesk API to create a ticket or message the agent. Okendo documents APIs and Flow triggers; many middleware vendors provide example flows. (support.okendo.io)
  • Use a knowledge-base ingestion: export Okendo reviews to a searchable docs index that your AI chat agent or RAG system consumes so the bot can quote reviews even without a native connector. (octocom.ai)
  • Build a small middleware lambda: call Okendo’s merchant API periodically, then POST new reviews into your helpdesk’s ticket API. This is what some agnoStack/Zendesk workflows use in their guides. (go.agnostack.com)

Which should you choose?

Your situation Best fit
You need reviews shown beside support tickets in a Shopify-native helpdesk Gorgias
You want an AI chat agent that cites product reviews to shoppers Octocom
You want the cheapest flat-rate chat that can use Okendo Campfire
You already run Zendesk and want review moderation inside agent tools agnoStack
You want a shopping agent embedded into product pages that uses Okendo reviews Alby

Which option fits which situation. You need reviews shown beside support tickets in a Shopify-native helpdesk: Gorgias. You want an AI chat agent that cites product reviews to shoppers: Octocom. You want the cheapest flat-rate chat that can use Okendo: Campfire. You already run Zendesk and want review moderation inside agent tools: agnoStack. You want a shopping agent embedded into product pages that uses Okendo reviews: Alby.

From the table above.

How this comparison was made

Prices and integration features were taken from each vendor’s published pages and documentation and were checked in November 2026. The products were not tested hands-on; assertions are drawn from vendor documentation and public pricing pages.

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