Most AI tools struggle to reliably answer questions related to specific product IDs, error codes, or order numbers. Other AI tools miss or mix up results—leading to irrelevant, misleading, or partial results.
Numeric search looks at alphanumeric identifiers more carefully, delivering precise matches from spreadsheets and other sources, so you get helpful, complete answers the first time.
Better results from spreadsheets and structured data
Fewer irrelevant and incomplete answers, saving you time
Improved accuracy for code-based queries
Understands alphanumeric identifiers like product, error, dates, and order codes.
Improves retrieval from structured data sources such as spreadsheets and tables.
Treats codes differently from normal text to deliver precise results where accuracy matters.
You decide when to enable it—or let the agent decide in future updates.
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Learn more about numeric search in our docs
Numeric Search is a feature built to handle alphanumeric identifiers—such as product codes, order IDs, error codes, dates, and version numbers—with precision. Unlike regular AI search, it treats codes differently from normal text, ensuring accurate retrieval even from messy spreadsheets or structured data sources.
Traditional AI search tools often confuse or miss product IDs and error codes because they treat them as plain text. Numeric Search applies exact matching logic, prioritizing alphanumeric patterns, so you get complete, accurate results instead of partial or misleading answers.
Numeric Search is optimized for:
If your workflows involve codes or identifiers, Numeric Search dramatically reduces noise and irrelevant results.
Numeric Search isn’t limited to numbers alone. It’s built to understand alphanumeric identifiers—like product IDs, error codes, version strings, or order numbers—that often combine digits and text. This ensures accurate retrieval whether your query is numeric, textual, or a mix of both.
Numeric Search is designed to treat codes with exact precision. Instead of grouping or confusing near-matches, it respects every character in the identifier. That means SKU-001 and SKU-0001 are recognized as distinct values, so you always retrieve the correct record without accidental overlaps.
Numeric Search is spreadsheet-aware. It recognizes tabular structures, interprets rows and columns intelligently, and ensures that code-based lookups are not lost in irrelevant context.
Yes. Numeric Search was designed for exactly that. Even if your spreadsheets have merged cells, inconsistent column naming, or codes buried inside text fields, the system can still identify alphanumeric patterns like order numbers, error codes, and SKUs.
Numeric Search is enabled by default, so you can start using it right away without any setup. Navigate to Personalize › Citation. From here, you can click to disable the feature if your workflow doesn’t require code-aware search, and re-enable it later when you do.
Without Numeric Search, queries involving product IDs, error codes, or order numbers may return incomplete or mixed-up answers. Enabling Numeric Search ensures exact matches, improving reliability across structured data.
Numeric Search is available across all CustomGPT.ai plans. For details, see our Pricing page.
Yes. Numeric Search inherits the enterprise-grade security controls of CustomGPT.ai, including:
Your data is never used for training or shared outside your environment.
Yes. Numeric Search is purpose-built to enhance code-based retrieval across the tools your teams already use. Whether it’s a CRM, ERP, support platform, or internal log system, it treats product codes, order numbers, and error IDs with the precision they require. The result is faster lookups, fewer mismatches, and more reliable access to the critical data your business depends on every day.
