# Connect Levity to Google Sheets > Connect Levity's no-code AI to Google Sheets to automatically classify, tag, and enrich your spreadsheet data at scale. **Canonical page:** https://tray.ai/connectors/levity-google-sheets-integrations/ **Levity connector:** https://tray.ai/connectors/levity-integrations/ **Levity documentation:** https://tray.ai/documentation/connectors/service/levity **Google Sheets connector:** https://tray.ai/connectors/google-sheets-integrations/ **Google Sheets documentation:** https://tray.ai/documentation/connectors/service/google-sheets ## Overview Levity and Google Sheets work well together for teams that live in spreadsheets but don't want to build custom machine learning models just to categorize data. Connect Levity's AI classification engine to Google Sheets, and new rows can trigger AI workflows automatically — coming back labeled, scored, and ready to use. Your spreadsheet stays familiar. It just does a lot more. Google Sheets is one of the most widely used tools for collecting, organizing, and sharing business data — customer feedback, support tickets, product inventory, sales leads. But manually reviewing and categorizing that data is slow, inconsistent, and doesn't scale. Levity fixes this by applying custom-trained AI models to classify text, images, and documents automatically. Connected through tray.ai, new or updated rows in Google Sheets can trigger Levity AI blocks instantly, with classification results written back directly into the sheet. No more repetitive manual tagging, no more backlogs, and no code required. ## Use cases ### Automatic Customer Feedback Categorization As survey responses or customer feedback entries land in a Google Sheet, Levity automatically classifies each one by sentiment, topic, or urgency. The AI-assigned category and confidence score are written into adjacent columns for immediate analysis. Teams can filter, prioritize, and act on feedback without reading every row. - Eliminate hours of manual feedback tagging each week - Consistently categorize thousands of responses with AI accuracy - Surface high-priority negative feedback instantly for faster resolution ### Support Ticket Triage and Priority Labeling When support tickets are logged into a Google Sheet from a form or CRM export, Levity classifies each one by issue type, department, and urgency level. The enriched data is written back to the sheet and can trigger routing or escalation workflows. Support managers get a real-time, categorized view of incoming requests without manual review. - Reduce ticket review time by automatically assigning priority labels - Ensure consistent issue categorization across all incoming tickets - Enable faster routing by pre-tagging tickets before agents review them ### Sales Lead Qualification and Scoring Inbound lead data collected in Google Sheets — form submissions, CSV imports — can be passed to Levity to classify leads by industry, intent signals, or fit score. Results are appended back to the sheet, giving sales teams a pre-qualified, ranked list of prospects ready for outreach. Less time on dead ends, more time on real pipeline. - Automatically score and rank inbound leads without manual review - Filter out low-fit prospects early before they waste rep time - Give sales reps enriched lead data before the first touchpoint ### Content Moderation and Compliance Flagging For teams that collect user-generated content, product reviews, or survey data in Google Sheets, Levity can scan each entry for policy violations, sensitive language, or compliance risks. Flagged rows are labeled in the sheet and can trigger alerts or escalation workflows. Compliance teams stay informed without auditing every record by hand. - Automatically detect and flag policy-violating or sensitive content - Reduce compliance review workload with AI pre-screening - Create an auditable log of flagged content directly in the spreadsheet ### Product Catalog Tagging and Attribute Enrichment Product managers who maintain catalog data in Google Sheets can use Levity to automatically classify products by category, attribute, or audience segment based on descriptions or images. Classified tags are written back into the sheet to support feed management, SEO, or publishing workflows. Large catalogs stay organized without large teams. - Auto-tag thousands of product records in minutes rather than days - Ensure consistent category and attribute labeling across the catalog - Accelerate product publishing workflows with pre-enriched data ### Document and File Type Classification from Sheet Logs When file metadata or document content is logged into Google Sheets — from form uploads or storage integrations — Levity can classify each document by type, topic, or department. Classification results are added back to the sheet, making routing or archiving straightforward. Teams handling large document volumes get instant, accurate organization. - Automatically categorize documents without manual review - Enable smarter archiving and retrieval by adding AI-assigned labels - Reduce document processing backlogs with continuous classification ### Social Media and Review Sentiment Analysis Marketing or CX teams who aggregate social mentions, app store reviews, or NPS comments into Google Sheets can use Levity to run sentiment and topic classification on every new entry. Sentiment scores and topic labels are appended directly to the sheet for reporting and trend analysis. You'll know how customers feel without reading each comment one by one. - Track brand sentiment trends automatically across high volumes of data - Identify recurring topics and themes in customer reviews at scale - Feed enriched sentiment data into dashboards or reporting tools instantly ## Templates ### Classify New Google Sheets Rows with Levity AI Automatically sends each new row added to a specified Google Sheet to a Levity AI block for classification, then writes the returned label and confidence score back into the row. Connectors used: Levity, Google Sheets ### Batch Classify Existing Google Sheets Data with Levity Iterates through all unclassified rows in a Google Sheet, sends each record to Levity for AI processing, and populates a dedicated classification column with results — useful for backfilling legacy data. Connectors used: Levity, Google Sheets ### Flag High-Priority Levity Classifications in Google Sheets After Levity classifies incoming data, this template filters for high-priority or flagged labels, highlights those rows in Google Sheets, and sends an alert to a designated Slack channel or email address. Connectors used: Levity, Google Sheets ### Sync Levity Classification Results to a Google Sheets Dashboard Aggregates Levity classification outputs from multiple sources into a centralized Google Sheet, building a live dashboard of categorized data for reporting and trend analysis. Connectors used: Levity, Google Sheets ### Route Classified Records from Google Sheets to Downstream Tools Uses Levity classification labels assigned in Google Sheets to route records to the right downstream system — a CRM, helpdesk, or project management tool — based on the AI-determined category. Connectors used: Levity, Google Sheets ### Continuous Sentiment Monitoring Pipeline with Levity and Google Sheets Monitors a Google Sheet for new text entries, runs each through Levity's sentiment classification model, and maintains a running sentiment log with trend indicators for ongoing brand or product monitoring. Connectors used: Levity, Google Sheets ## Challenges Tray.ai solves ### Handling Large Volumes of Rows Without Hitting API Rate Limits Google Sheets and Levity both have API rate and quota limits, which can cause failures when classifying hundreds or thousands of rows in rapid succession during batch operations. **How Tray.ai helps:** tray.ai's loop and throttling controls let workflows process rows in configurable batches with time delays between API calls, keeping operations within both Google Sheets and Levity rate limits. No manual intervention, no failed runs. ### Writing Classification Results Back to the Correct Row When processing rows asynchronously or in parallel, writing each Levity classification result back to the exact originating row — rather than the wrong one — requires careful row ID and index management. **How Tray.ai helps:** tray.ai passes the Google Sheets row ID as a persistent variable throughout each workflow run, using it to target the precise row for updates via the Google Sheets connector's row-level operations. Mismatched writes don't happen, even in concurrent workflows. ### Triggering on Incremental Changes Without Reprocessing Old Data Polling-based triggers on Google Sheets can reprocess already-classified rows if the trigger logic isn't carefully scoped, leading to duplicate Levity API calls and overwritten classification data. **How Tray.ai helps:** tray.ai's Google Sheets trigger supports filtering conditions so workflows only fire for rows where the classification column is empty or matches an unprocessed status. That prevents redundant Levity calls and keeps your existing enrichment data intact. ### Managing Levity Model Versioning Across Active Workflows When a Levity AI model is retrained or updated, active workflows may continue calling an older model version, resulting in inconsistent classification outputs written to Google Sheets over time. **How Tray.ai helps:** tray.ai lets teams store Levity model IDs as configurable workflow parameters, so updating the model reference across all active workflows takes one change in one place. No rebuilding integrations from scratch. ### Structuring Unformatted or Inconsistent Input Data Before Classification Google Sheets data collected from forms, imports, or manual entry is often inconsistent — extra whitespace, mixed case, missing values — which can hurt Levity classification accuracy if sent unprocessed. **How Tray.ai helps:** tray.ai's data transformation and helper functions let workflows clean, normalize, and validate text fields from Google Sheets before passing them to Levity, so the model gets well-structured input and returns reliable results. ## Learn more - Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/ - Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/ - Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/ - Book a demo: https://tray.ai/contact/