Copilot Search

Copilot Search gives users a way to ask questions in natural language and get AI-assisted answers supported by web context. Instead of scanning search results one by one, users can ask Copilot to research a topic, explain options, summarize information, or help make sense of current web content.

For teams using Fetch Hive, Copilot Search is useful when a task needs more than a list of links. It can help turn open-ended questions into clearer answers, research summaries, comparison notes, and source-aware context that can be used in repeatable workflows.

Use Cases

Research summaries

Use Copilot Search to gather context around a topic, trend, product, company, or question. Fetch Hive can then process the response into a concise summary, research brief, or structured note your team can review.

Competitive comparisons

Ask Copilot Search to compare products, services, categories, or market positions, then use Fetch Hive to turn the result into a cleaner comparison table, decision summary, or internal research snapshot.

Content and planning inputs

Use Copilot Search to explore angles for blog posts, landing pages, reports, campaigns, or customer research. Fetch Hive can standardize the output so your team gets consistent briefs instead of one-off search notes.

Why use Copilot Search with Fetch Hive?

Copilot Search is helpful on its own, but Fetch Hive makes it easier to use as part of a repeatable research process. Instead of manually asking the same types of questions, copying answers, and organizing results by hand, Fetch Hive can run Copilot Search as a workflow step, capture the output, and process it into the format your team needs.

Because Copilot Search supports parallel execution in Fetch Hive, teams can process many queries, topics, or research tasks faster without checking each one manually. Fetch Hive also records detailed trace logs for every step, making it easier to see what happened, what failed, and where the workflow can be improved. Every run can be cost-tracked, so teams can monitor spend per workflow, run, or user while sending finished outputs into reports, spreadsheets, briefs, dashboards, or internal tools.

FAQ

What is Copilot Search used for?

Copilot Search is used for asking natural-language questions and getting AI-assisted answers supported by web context. It is useful for research, summaries, comparisons, planning, and understanding current topics.

Is this about Copilot.com or Microsoft 365 Copilot?

This page refers to Copilot Search from Copilot.com, not Microsoft 365 Copilot for workplace files, Teams, Outlook, or enterprise Microsoft 365 data.

Can I use Copilot Search inside Fetch Hive workflows?

Yes. Copilot Search is available as a Fetch Hive workflow step. You can use it to retrieve AI-assisted search responses, then process, summarize, compare, or send the output into another tool.

Can Fetch Hive run multiple Copilot Search tasks at once?

Yes. Copilot Search supports parallel execution in Fetch Hive, which is useful when researching many topics, queries, products, competitors, or sources at the same time.

How does Fetch Hive help with Copilot Search results?

Fetch Hive helps turn Copilot Search output into repeatable operational content. You can log each step, track costs, format the result, and send the final output into reports, spreadsheets, briefs, dashboards, or other internal tools.