GPT Search

GPT Search is a GPT-powered way to retrieve real-time information from the web and use it to produce answers with links to relevant sources. Instead of relying only on a model’s built-in knowledge, GPT Search can look up current details and then synthesize what it finds into a response you can follow up on.

In Fetch Hive research, GPT Search is especially useful when you need up-to-date context—like recent changes, current events, or topic-specific background—while still keeping your work anchored to the sources that informed the answer.

Use Cases

Source-aware topic research

Give Fetch Hive agents access to current web context so they can compare multiple sources, capture key takeaways, and produce a summary that’s easier to review and fact-check.

Competitive and market narrative checks

Use GPT Search context to help agents track what’s being said publicly about competitors or categories, then compile structured notes you can use for decision-making and follow-up questions.

Answer drafting with cited context

When you ask for an explanation, brief, or comparison, Fetch Hive agents can use GPT Search to retrieve current information and generate an answer tied to the most relevant references.

Why use GPT Search with Fetch Hive?

Fetch Hive helps you operationalize research: agents can use GPT Search for more current context, while you get full traceability. Every step is logged so you can see what sources were used, what happened during retrieval, and where an answer may need refinement. Fetch Hive also records workflow costs, helping you understand spend per run and evaluate what to improve next. Finally, the final research outputs can be routed into the formats your team uses—reports, briefs, dashboards, spreadsheets, alerts, or downstream internal steps—so “research” becomes something repeatable.

FAQ

How do Fetch Hive agents use GPT Search?

Fetch Hive agents can use GPT Search during research and answer generation to retrieve current web context and then synthesize it into grounded outputs with source links.

Is GPT Search a direct workflow step in Fetch Hive?

No. GPT Search is available for Fetch Hive agents to use for research and reasoning, rather than as a direct workflow step you add.

What kind of outputs can I expect from GPT Search in Fetch Hive?

You can expect synthesized summaries and research notes that incorporate web-retrieved information, typically with links to relevant sources where available.

What does Fetch Hive provide beyond GPT Search itself?

Fetch Hive adds trace logs and cost visibility, so you can review what your agent did, inspect step-by-step results when something looks off, and track the costs associated with each run.

Can I use GPT Search to improve research quality with more recent information?

Yes. GPT Search is designed to retrieve timely web context, which helps agents avoid relying only on older knowledge when you need the latest details.