SERPpost can return an aiOverview field with a Google search response when Google returns that result type. Treat it as part of the Google SERP for the query you sent. It is not a universal monitor for every answer engine, and it does not turn an absent field into a result.
This guide shows a small, repeatable workflow: send an authenticated Google request, check whether the response contains aiOverview, keep the raw payload, and compare the observation with the rest of the returned SERP data.
Updated August 25, 2026.
What this workflow measures
The workflow measures a Google result page at the time of the request. If the response includes aiOverview, your application can store that returned data alongside the query, country, language, and retrieval time.
It does not measure citations or sentiment across other generative products. It also cannot prove that an AI Overview will appear for every query, location, or later request. Google result features vary, so your code needs to handle a response that has no aiOverview field.
Send one authenticated Google request
Create an account, then retrieve your API key in the Dashboard. The documented V1 search request uses the Google result type, a query, and the market settings you want to inspect.
curl -X POST https://serppost.com/api/v1/search \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"s": "how to set up a home office",
"t": "google",
"p": 1,
"d": 20000,
"country": "us",
"language": "en",
"maxCache": 0
}'
maxCache: 0 asks for a fresh request. If you run the same query repeatedly, record the time of each request instead of assuming two responses describe the same result page.
For the current request format and available search result types, see the SERPpost V1 documentation. You can also inspect a sample request before integrating in the API Playground.
Check for the optional aiOverview field
SERPpost’s Google search capability lists organic, relatedSearches, and aiOverview as response fields. A practical parser should treat aiOverview as optional:
- Save the complete JSON response for the request you made.
- Test whether
data.aiOverviewis present before reading it. - Store the query, country, language, and retrieval time with the response.
- Keep the returned organic results beside the feature data so a later reviewer can see the surrounding SERP.
Do not manufacture an empty object, a citation count, or a sentiment label when the field is absent. Those are analysis choices your own application would need to define and validate.
Use a query set you can review
Start with a small list of queries that matter to a real product, content, or research decision. Run each query with the same market settings, then inspect the returned data before expanding the job.
| Record | Why keep it |
|---|---|
| Query and market | Shows what you asked Google to return. |
| Retrieval time | Keeps separate requests from being treated as one observation. |
| Raw response | Lets you re-check fields instead of relying on a summary. |
| Application decision | Connects the observation to a content, research, or product action. |
This gives a developer a reviewable record without claiming that the API has observed every AI answer surface.
Validate the integration before you automate it
Use the Playground to inspect the request shape, then make a real authenticated call with your own API key. Confirm that your code handles both cases: a Google response with aiOverview and one without it. Only then add storage, scheduling, or downstream analysis.
If your use case requires cross-product citation tracking or model-level sentiment analysis, evaluate a tool that explicitly documents that coverage. Do not infer it from a Google SERP response.
FAQ
Does every Google request include aiOverview?
No. The field is available when the selected result type and the returned Google result provide it. Your integration should check for the field rather than assume it is always present.
Is this a cross-engine AI visibility monitor?
No. This workflow inspects the Google search response that SERPpost returns. It does not claim to monitor other answer engines or calculate cross-engine citation and sentiment metrics.
Where can I test the request?
Open the API Playground to inspect a request shape, or create a free account to make authenticated V1 requests with your own API key.