Home > Destinations > Snowflake > ChatGPT

Connect ChatGPT to Snowflake

Connect ChatGPT to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a ChatGPT API pipeline.

ChatGPT export job

First sync scheduled

ChatGPT Selected accounts

Configured job

Snowflake Destination table

Account ChatGPT · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export ChatGPT data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize ChatGPT data in PostgreSQL

Bring all your ChatGPT data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

ChatGPT IA data

INmonitors PMbrands CUprompts BLanswers

Catchr pipeline IN PM CU Extract · normalize · load

Snowflake catchr_data.ChatGPT_raw

TableScopeStatus

monitorsSelectedReady

brandsSelectedReady

promptsSelectedReady

answersSelectedReady

Data freshness

Keep your Snowflake tables up to date

Automatically sync new data from ChatGPT so every dashboard, model, and report works with fresh information.

ChatGPTConfigured account

SnowflakeChatGPT Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

monitors326 updated brands102 appended Warehouse up to date

Analysis

Unify ChatGPT with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks monitors · Citation Bonus IA

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

Snowflake model business_360 Unified

FieldFrom

customer_idCRM

Citation Bonusmonitors

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

ChatGPT metrics and dimensions available in Snowflake

Access 6 metrics and 32 dimensions from ChatGPT connectors including Visibility Score, Prominence Score, Frequency Score, Sentiment Modifier, Citation Bonus, Monitor Name, Brand Name, Prompt Text, Prompt User Intent, Response Date, Response Model and many more...

Metrics availables

Dimensions availables

View all ChatGPT Metrics metrics and dimensions

Connect ChatGPT to Snowflake in minutes

Move your data from ChatGPT to Snowflake with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your ChatGPT account

Authenticate your ChatGPT account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

ChatGPT 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields

Authentication Choose one

Password

Key pair

Host Required

xy12345.eu-west-1

Username Required

catchr_service

Database Required

MARKETING.RAW

Private key passphrase Optional

••••••••••••

Private key Required for key pair

-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----

Step three

Keep your Snowflake tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

Review 30-day ChatGPT AI visibility in SQL.

This example summarizes visibility score, average position, and citations by monitored brand.

30-day window

SELECT
  brand_name,
  AVG(visibility_score) AS visibility_score,
  AVG(position) AS average_position,
  SUM(citation_count) AS citations
FROM `your_project.marketing_raw.chatgpt_visibility_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY brand_name
ORDER BY visibility_score DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Emailing

Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I load ChatGPT data into Snowflake with Catchr?

Create the ChatGPT source, then register Snowflake with its account identifier, username, database, schema, and password or private key. Link both through a datastream and target the "answers" table in the job.

Which ChatGPT records can Catchr load into Snowflake?

Select concrete ChatGPT fields such as Citation Bonus, Frequency Score, Position Modifier, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as monitors, brands, and prompts.

How does the initial ChatGPT import differ from later Snowflake runs?

Configure the initial ChatGPT period separately from the recurring schedule for "answers". The source API determines how much history is available.

Does a ChatGPT Snowflake job append or replace data?

Choose an eligible date field as the partition for ChatGPT. Catchr can then replace the matching period in "answers"; without it, later runs append rows and may create duplicates.

How can I turn ChatGPT records in Snowflake into reporting?

With ChatGPT data, a Snowflake query can summarize visibility score, average position, and citations by monitored brand. Use Citation Bonus and Frequency Score in a Snowflake view to create a reusable reporting layer for client analysis.

Does my Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Snowflake database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

Your next database import should not start with five exports.

Connect your marketing platforms and build a data workflow your entire agency can use.

Start your free-trial Book a demo

14 days free-trial

No credit-card required

100+ sources

Used by the world's leading companies

Export ChatGPT data to Snowflake

Centralize ChatGPT data in PostgreSQL

Keep your Snowflake tables up to date

Unify ChatGPT with the rest of your business data

ChatGPT metrics and dimensions available in Snowflake

Connect ChatGPT to Snowflake in minutes

Connect your ChatGPT account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day ChatGPT AI visibility in SQL.

Choose what to load into Snowflake.

ActiveCampaign

Adform

Adjust

AdRoll

AdsWizz

Adtraction Advertising

Airbnb Review

Amazon Ads

Amazon DSP

Amazon Seller

Apple Search Ads

AppsFlyer

App Store Connect

Appstore Review

Awin

Bigcommerce

Bing Webmaster Tool

Booking Review

Branch

Braze

Brevo (ex SendInBlue)

CallRail

Capterra Review

Chartmogul

ChatGPT

Criteo

Facebook Ads

Facebook Pages

Facebook Public Data

Facebook Review

Firebase Realtime Database

g2 Review

Glassdoor Review

Google Ads

Google Analytics

Google Display & Video 360

Google Merchant Center

Google My Business

Google Page Speed

Google Play Review

Google Play Store

Google Search Console

Google Trends

Hubspot

Indeed Review

Instagram

Instagram Public Data

JSON / CSV / XML

Klaviyo

Line Ads

LinkedIn Ads

LinkedIn Pages

Magento

Mailchimp

MailerLite

Matomo

Microsoft Ads

Outbrain

Outbrain DSP

Pardot

Piano Analytics

Pinterest Ads

Pinterest Organic

Pipedrive

Piwik

Prestashop

Profitwell

QuickBooks