Google Grounding

Google Grounding is a way to have Gemini answers grounded in real-time Google Search results. Instead of relying only on a model’s knowledge cutoff, Gemini can use web content to produce responses that include inline supporting links and “search suggestions” (where returned by the API).

In practice, this is useful when you need fresher information, more transparent sourcing, and better factuality for topics that change over time. Depending on the returned data, Gemini may also surface search suggestions that point users to the relevant results for the grounded response.

Use Cases

Grounded answers for current events

Use Google Grounding when your team needs concise explanations that reference up-to-date web sources, including inline links, so stakeholders can quickly verify claims.

Source-aware market and competitor research

Give Fetch Hive agents a grounded research layer to collect current context, compare what multiple sources say, and produce summaries that point back to the underlying Search results.

Location-aware “what’s nearby?” summaries

When questions involve places, routes, or weather, Google’s Maps-focused grounding context can complement Search-grounded responses—helping agents produce recommendations and overviews that reflect current, real-world information (based on the data the integration returns).

Why use Google Grounding with Fetch Hive?

Fetch Hive helps you operationalize grounded research and answers: agents can use Google Grounding to generate more verifiable outputs, while Fetch Hive records a detailed trace log of what happened and what was used. You can also review failures and gaps in context when something doesn’t come back clearly, and you can track cost per workflow/run/user so experimentation stays accountable. Finally, Fetch Hive can take the grounded output and deliver it to the tools and formats your team uses—like briefs, dashboards, spreadsheets, alerts, or internal handoffs—so the research doesn’t end at a chat window.

FAQ

Is Google Grounding available as a direct workflow step in Fetch Hive?

No. Google Grounding is available for Fetch Hive agents to use during research and answer generation, rather than as a direct workflow step.

How do Fetch Hive trace logs help with Google Grounding results?

Fetch Hive provides traceability of each step so you can inspect how the grounded answer was produced, what was retrieved or returned, and where an output may have missed key context.

Can I see what a Google Grounding run cost in Fetch Hive?

Yes. Fetch Hive logs costs at the workflow/run/user level so you can understand spend associated with grounded research and generation.

What kinds of outputs can Fetch Hive generate using Google Grounding?

Fetch Hive agents can produce grounded summaries and source-linked responses based on the Search context returned by the integration, including inline supporting links where provided.

Does Google Grounding always include search suggestions and exact source details?

Not always. Depending on the returned result, the response may include grounding metadata such as “search suggestions” and inline supporting links—so you should use the returned data as the source of truth.