Helpdesk migration

Migrate from knock-ai to Gorgias

Field-level mapping, validation, and rollback between knock-ai and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.

knock-ai logo

knock-ai

Source

Gorgias

Destination

Gorgias logo

Compatibility

67%

8 of 12

objects map 1:1 between knock-ai and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Knock AI to Gorgias is a category shift, not a like-for-like replacement. Knock AI captures B2B buyer intent and routes qualified conversations into Slack; Gorgias is a multi-channel helpdesk designed for ecommerce support. The migration centers on extracting visitor and prospect records, conversation logs, meeting bookings, and enrichment data from Knock AI and structuring them as Customers, Tickets, and Orders inside Gorgias. We preserve qualification scores and routing context as custom customer properties since Gorgias does not have a native buyer-intent scoring model. AI agent guardrails, routing rules tied to Slack channels, and Knock Link entry-point configurations do not migrate; we document the full configuration tree for reimplementation in Gorgias Automations and Flows. We do not migrate LinkedIn outreach sequences, which live in LinkedIn Sales Navigator, not in Knock AI itself. The migration produces a named handoff inventory of every workflow, macro, and automation requiring rebuild in Gorgias so your admin team has a complete rebuild checklist on day one.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

knock-ai logo

knock-ai

What's pushing teams away

  • The starting price of $1,000/month is prohibitive for smaller teams or early-stage companies, especially when the core value of formless capture may not justify the full platform cost.
  • Limited feature set compared to broader revenue platforms—some users cite gaps in integrations and screen sharing capabilities that require workarounds.
  • AI agent guardrails and approved answer configurations require upfront setup time, creating a training barrier before the platform delivers on its automation promise.
  • Enterprise tiers offer custom pricing with dedicated support, but the opaque pricing model makes budget planning difficult and creates friction for procurement teams.
  • Reporting blind spots have been noted in reviews—some teams find it difficult to extract comprehensive analytics on conversation outcomes and pipeline attribution beyond basic sync logs.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How knock-ai objects map to Gorgias

Each row shows how a knock-ai object lands in Gorgias, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

knock-ai

Visitors (Anonymous and Identified)

maps to

Gorgias

Customer

1:1
Fully supported

Knock AI Visitors (anonymous site visitors identified by company, role, and intent signals) map to Gorgias Customer records. The enrichment data—company name, domain, company size, role, budget tier, and intent score—moves as custom properties on the Customer object. Email address is the primary dedupe key. If the visitor was already a known contact in Knock AI's CRM sync log, we match against the email to avoid creating duplicate Customers in Gorgias. Shopify customer records are linked via email match so that order history surfaces in the support ticket.

knock-ai

Conversations

maps to

Gorgias

Ticket

1:1
Mapping required

Knock AI conversation logs (full buyer-facing chat history, timestamps, participant info, qualification outcome) map to Gorgias Ticket records. Each Ticket receives the conversation as a message thread. The Knock AI qualification status (qualified, unqualified, routing destination) migrates as a custom ticket property so support agents can see buyer intent context on the ticket. Internal rep notes attached to conversations in Knock AI are flagged as a separate export and associated manually since Knock AI does not expose internal notes via API.

knock-ai

Qualified Leads

maps to

Gorgias

Customer (custom property: qualification_score)

lossy
Mapping required

Knock AI leads that passed AI qualification carry a qualification score and routing destination. We map the qualification score to a custom number property on the Gorgias Customer (qualification_score__c) and the routing destination to a custom text property (routing_destination__c). Gorgias does not have a native lead object; qualification context is stored as customer metadata rather than as a separate record type. The customer decides whether to use qualification score for routing or tagging in Gorgias during scoping.

knock-ai

Enrichment Data

maps to

Gorgias

Customer (custom properties)

1:1
Mapping required

Prospect enrichment from Knock AI (company info, role, intent signals, LinkedIn profile URL, CRM sync status) maps to named custom properties on the Gorgias Customer. Fields include company_size__c, job_title__c, intent_signals__c, linkedin_url__c, and crm_sync_status__c. We map the enrichment schema during scoping and pre-create all custom fields in Gorgias before migration. Any enrichment data linked to CRM contacts that were also synced to HubSpot or Salesforce carries a separate migration path to the customer's CRM.

knock-ai

Meeting Bookings

maps to

Gorgias

Ticket (linked via external reference)

1:1
Fully supported

Knock AI meeting bookings (buyer details, meeting type, booking status, calendar reference) map to a custom Ticket property or external reference field in Gorgias. The meeting URL, buyer name, and meeting type migrate as structured properties on the associated Customer or Ticket. Calendar events themselves are not recreated in Gorgias since Gorgias does not have a native calendar object; we document the meeting context so agents can access the calendar link in the customer record.

knock-ai

Routing Rules

maps to

Gorgias

Macro / Automation (documentation only)

lossy
Mapping required

Knock AI routing rules assign leads to reps or teams based on configurable conditions. Routing logic is not exposed via API for bulk export. We extract the full rule tree during the scoping call, document the condition matrix (company size, role, intent threshold, routing destination), and produce a structured routing specification. The customer's Gorgias admin uses this specification to rebuild equivalent routing as Gorgias Automations (trigger-based assignment) or Macros. Routing rebuild is out of scope for data migration and handled as a separate documentation deliverable.

knock-ai

AI Intent Agent Configurations

maps to

Gorgias

AI Agent Knowledge Base (documentation only)

lossy
Mapping required

Knock AI AI Intent Agent configurations—guardrails, approved answers, auto-booking trigger conditions, and fallback behaviors—are stored as platform-specific settings with no documented export API. We extract a human-readable summary of all configured topics, routing logic, and fallback conditions. The customer's team rebuilds equivalent knowledge in Gorgias AI Agent using Help Center articles, Guidance (custom instructions), and Actions (multi-step processes). This is a manual reimplementation step outside data migration scope.

knock-ai

CRM Sync Records

maps to

Gorgias

Customer (linked)

1:1
Mapping required

Knock AI maintains a sync log showing what contact and company data was pushed to HubSpot or Salesforce. We use this log to reconcile which Knock AI contacts were already synced, avoiding duplicate creation in the customer's CRM during or after migration to Gorgias. If the customer continues using HubSpot or Salesforce alongside Gorgias, we document the existing sync configuration so that post-migration CRM sync can be re-established from Gorgias rather than from Knock AI.

knock-ai

Chat Links (Knock Links)

maps to

Gorgias

Macros / Automations (documentation only)

lossy
Mapping required

Each Knock Link is a configurable entry point with its own routing, display settings, and branding. Knock Links do not have a Gorgias equivalent because Gorgias uses channel-based routing (email address, chat widget, social handle) rather than unique per-link entry points. We export the link configuration as a structured document listing each Knock Link, its routing destination, and its display settings. The customer's team rebuilds equivalent entry points as Gorgias channel configurations or macros.

knock-ai

LinkedIn Outreach Triggers

maps to

Gorgias

N/A

1:1
Not supported

LinkedIn outreach sequences triggered by Knock AI are stored in LinkedIn Sales Navigator, not in Knock AI itself. We do not migrate active LinkedIn sequences because they are not accessible via Knock AI's API. The customer must manage LinkedIn sequences directly in LinkedIn Sales Navigator or their LinkedIn account post-migration.

knock-ai

Order Data (Shopify context)

maps to

Gorgias

Order (native Gorgias object)

1:1
Fully supported

Gorgias has native Order objects linked to Shopify. If the customer is a Shopify merchant and Knock AI captured order references or purchase intent signals during buyer conversations, we map those order references as linked Order lookups on the corresponding Gorgias Customer or Ticket. This requires the Gorgias Shopify integration to be active and authenticated before migration. We flag this dependency during scoping.

knock-ai

Tags / Labels

maps to

Gorgias

Tags

1:1
Mapping required

Knock AI tags applied to visitors, conversations, or leads (segment tags, qualification tags, routing tags) map to Gorgias Tags on the Customer or Ticket. We extract the full tag taxonomy during scoping and apply tags at the appropriate object level in Gorgias during migration.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

knock-ai logo

knock-ai gotchas

High

CRM sync creates duplicate contacts if records already exist

Medium

AI agent guardrails are not data-exportable

Medium

Routing rules require manual reimplementation

Low

Conversation transcripts do not include internal notes

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Knock AI and Gorgias have incompatible data models

    Knock AI captures B2B buyer intent data (anonymous visitors, qualification scores, Slack-based routing); Gorgias is an ecommerce support helpdesk with Shopify order context and ticket-based workflows. There is no direct object-to-object mapping for AI agent configurations, routing rules, or Knock Links because Gorgias does not have an equivalent data model. We migrate contact records, conversation history, and enrichment data, but AI qualification logic, routing trees, and Knock Link entry points require manual reimplementation. Customers should plan a 2-4 week reimplementation phase after data migration for their admin team to rebuild equivalent automations in Gorgias.

  • AI agent guardrails and approved answers are not exportable from Knock AI

    Knock AI's AI Intent Agent configurations (guardrails, approved answers, auto-booking conditions, fallback behaviors) have no documented API endpoint for export. We extract a human-readable summary of all configured topics, conditions, and fallback logic during scoping. The customer's team must manually reconfigure equivalent knowledge in Gorgias AI Agent using Help Center articles, natural-language Guidance, and Actions. This is a documented handoff deliverable, not a migrated artifact.

  • Internal rep notes do not export from Knock AI

    Knock AI exports the buyer-facing conversation log but does not expose internal rep notes or supervisor annotations attached to a conversation. If your team uses internal notes as part of the qualification or follow-up process, those must be captured separately from a direct export. We can request a data export of conversation-adjacent notes via a manual export request to Knock AI support, but the notes are not available via API. Any internal notes must be manually associated with the corresponding Customer record in Gorgias post-migration.

  • Gorgias Shopify integration must be active before migration

    Gorgias's native Order object and customer order history feature require an active, authenticated Shopify store connection. If the Shopify integration is not set up before migration begins, we cannot map order references or purchase context from Knock AI enrichment data to Gorgias Order records. We flag this as a pre-migration dependency during scoping and pause the Order mapping phase until the integration is confirmed active.

  • CRM sync log requires reconciliation before migration to prevent duplicates

    Knock AI's CRM sync log shows which contacts were pushed to HubSpot or Salesforce. If the customer is migrating both their CRM and Knock AI to Gorgias simultaneously, or if the customer plans to continue using their CRM alongside Gorgias, we reconcile the Knock AI contact list against the CRM sync log to avoid creating duplicate records. Any contact that was already synced to the CRM is flagged for deduplication before Gorgias import.

Migration approach

Six steps for a successful knock-ai to Gorgias data migration

  1. Discovery and scoping call

    We audit the Knock AI account for visitor volume, conversation count, qualification configurations, routing rules, AI agent setup, CRM sync log, and enrichment field taxonomy. We pair this with a Gorgias account audit: existing Customer and Ticket volume, Shopify integration status, current macros and automations, and custom field setup. The discovery output is a written migration scope document listing every object being migrated, every object requiring documentation-only handoff, and every pre-migration dependency (Shopify connection, custom field creation in Gorgias).

  2. Schema setup in Gorgias

    We pre-create custom fields in Gorgias for Knock AI enrichment data: qualification_score__c (number), intent_signals__c (text), routing_destination__c (text), linkedin_url__c (url), company_size__c (text), and job_title__c (text). We create tags for Knock AI taxonomy items that map to Gorgias tagging. If the customer is on Shopify, we confirm the Shopify store connection is active and authenticated so that Order mapping is available during migration. All schema work happens in the customer's live Gorgias account (or Sandbox if requested) before any data import begins.

  3. AI configuration documentation

    We extract the full Knock AI routing rule tree, AI agent configuration summary, and Knock Link configuration document during a dedicated working session with the customer's Knock AI admin. This produces three documents: a Routing Specification (condition matrix and destination mapping), an AI Agent Configuration Summary (topics, guardrails, fallback behaviors), and a Knock Link Inventory (entry point list with routing and display settings). These documents are delivered as the handoff package for manual reimplementation in Gorgias Automations, AI Agent Knowledge, and channel configurations.

  4. Sample migration and reconciliation

    We run a test migration of a representative sample (500-1,000 records) into Gorgias to validate field mapping, tag application, Customer-Ticket relationship integrity, and Shopify order linking. The customer's lead agent reviews 25-50 records against the Knock AI source and signs off on mapping accuracy. Any field type mismatches, missing custom properties, or tag taxonomy issues are corrected before the full migration runs. This step prevents bulk corrections in the production environment.

  5. Full production migration

    We run production migration in dependency order: Customers first (using email as the dedupe key), then Tickets (linked to Customers by email match), then custom properties on Customers (enrichment data), then Tags. Each phase emits a row-count reconciliation report. We use the Knock AI API with rate-limit handling and exponential backoff to paginate through conversation history. Shopify order linking runs as a post-processing step once the Shopify integration is confirmed active. We flag any Knock AI contacts that were already synced to HubSpot or Salesforce for manual deduplication review.

  6. Cutover, delta sync, and handoff

    We freeze new Knock AI writes during the cutover window, run a final delta migration of any records modified during migration, and deliver the AI configuration documentation package to the customer's Gorgias admin. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild Knock AI routing rules as Gorgias Automations, AI agent configurations as Gorgias AI Agent Knowledge, or Knock Links as Gorgias channel configurations; these are documented for manual rebuild. LinkedIn outreach sequences remain in LinkedIn Sales Navigator and are not part of this migration scope.

Platform deep dives

Context on both ends of the pair

knock-ai logo

knock-ai

Source

Strengths

  • Accelerates sales cycle by up to 70% by eliminating form drop-off and connecting buyers to reps instantly
  • Keeps sales reps in Slack where they already work, reducing tool-switching friction and improving response times
  • AI qualification and routing runs continuously without manual SDR follow-up, capturing demand outside business hours
  • Two-way CRM sync with HubSpot and Salesforce keeps contact records and conversation activity automatically updated
  • Supports multi-channel buyer entry from website, LinkedIn, WhatsApp, and Slack with consistent conversation experience

Weaknesses

  • Entry pricing of $1,000/month is a significant commitment for teams under ten people or with limited inbound volume
  • AI agent setup requires configuring guardrails and approved answers, creating a learning curve before automation delivers full value
  • Reporting capabilities have been described as limited by some users, with gaps in pipeline attribution and outcome analytics
  • Feature set is narrower than broader revenue or conversational marketing platforms, which may require supplementary tools for full coverage
  • No public documentation on API rate limits or bulk export endpoints, limiting programmatic data access
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across knock-ai and Gorgias.

  • Object compatibility

    C

    4 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    knock-ai: Not publicly documented.

  • Data volume sensitivity

    B

    knock-ai doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your knock-ai to Gorgias migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about knock-ai to Gorgias data migrations

Answers to the questions buyers ask most during knock-ai to Gorgias migration scoping. Not seeing yours? Book a call.

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Migrations under 10,000 contacts and 20,000 conversations with basic enrichment data typically complete in three to five weeks. Migrations with large engagement histories (over 50,000 conversations), complex enrichment field taxonomies, multi-store Shopify setups, or active LinkedIn outreach sequences move to eight to fourteen weeks because of API pagination, Shopify integration setup, and the documentation scope for routing and AI agent reimplementation. The reimplementation phase for routing rules and AI agent configurations runs in parallel with data migration and extends beyond it.

Adjacent paths

Related migrations to explore

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