Google AI Overview API: Is There an Official One? What to Use Instead

There is no official Google AI Overview API. As of October 2026 we found no public Google endpoint that returns the text or cited sources of an AI Overview. Your options are Search Console for your own site’s traffic, a SERP API that parses the overview from a live result, or a managed AI visibility API that tracks it daily.

Is there an official Google AI Overview API?

No. Google’s own page on AI features in Search tells site owners that traffic from AI features is included in overall search traffic in Search Console and reported in the Performance report. The page does not mention an API for AI Overview content.

That leaves a gap. Search Console tells you how your pages performed. It does not tell you what an AI Overview said, which competitors it named, or which URLs it cited for a given question. Developers who search for a “Google AI Overview API” almost always want that second kind of data.

What are the options for getting AI Overview data?

Option	What you get	You build	Fit
Search Console	Your own site’s traffic from AI features in the Performance report	Nothing	Measuring your own clicks and impressions
SERP API	The AI Overview for one query, parsed from a live Google result	Scheduling, storage, analysis	Spot checks, custom scrapers, research
Managed visibility API	Daily mention status, citations, competitors and trends for your tracked prompts	Your integration only	Dashboards, reports, agents

SERP APIs that parse AI Overviews

Several SERP providers return AI Overview content. SerpApi, for example, works in two steps: a Google search returns an ai_overview.page_token, and a second request to the google_ai_overview engine fetches the overview content. The token expires within one minute of the search, so the second call must follow immediately. Output is JSON by default, with HTML and markdown options. DataForSEO’s LLM Mentions API also covers Google AI Overviews, as a mentions dataset rather than a per-query parser (see our comparison of AI visibility APIs).

Trade-offs to plan for:

• One query per request. Tracking 200 prompts daily means 200 calls a day, plus the second call where the provider uses a token flow.
• Timing. AI Overviews can load after the rest of the page, so a provider that does not wait returns an empty or partial result.
• Variability. Location, language and device change the output. Pin them in every request.
• No history. You store the results and compute visibility yourself.

Managed AI visibility APIs

A managed API turns the problem around. You define the prompts once, the vendor runs them on a schedule, and the API returns stored results and aggregates. GeoGen tracks Google AI Overviews and Google AI Mode as separate engines, alongside ChatGPT, Gemini, Perplexity and Microsoft Copilot, and returns mention status, competitors, citations and visibility trends through a REST API.

The trade-off is control. You see the answers for your tracked prompts, not an arbitrary query on demand, and GeoGen has no classic SERP endpoint.

How do I get Google AI Overview data from the GeoGen API?

First list the models and find the Google AI Overviews entry. The GET /v1/models response returns each model’s uuid, which the other endpoints accept in a comma-separated models filter. Then pull responses for your entity where your brand was mentioned.

import os
import requests

BASE = "https://api.geogen.io/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['GEOGEN_API_KEY']}"}  # wsk_...
ENTITY_ID = os.environ["GEOGEN_ENTITY_ID"]

# 1. Find the AI Overviews model UUID
models = requests.get(f"{BASE}/models", headers=HEADERS, timeout=30).json()["data"]
aio = next(m for m in models if "overview" in m["name"].lower())

# 2. Responses from that engine in the last 30 days where the brand is mentioned
resp = requests.get(
    f"{BASE}/responses",
    headers=HEADERS,
    params={
        "entityId": ENTITY_ID,
        "models": aio["uuid"],
        "period": "30d",
        "mentionStatus": "mentioned",
        "limit": 20,
    },
    timeout=30,
).json()

print(resp["pagination"])   # {"total": ..., "limit": 20, "offset": 0}
for item in resp["data"]:
    print(item)

# 3. Visibility trend for the same engine
trend = requests.get(
    f"{BASE}/trends/visibility",
    headers=HEADERS,
    params={"entityId": ENTITY_ID, "models": aio["uuid"], "period": "7d"},
    timeout=30,
).json()
for point in trend["data"]:          # [{"date": "...", "score": ...}]
    print(point["date"], point["score"])

The same call from the shell:

curl -s "https://api.geogen.io/v1/trends/visibility?entityId=$GEOGEN_ENTITY_ID&period=7d" \
  -H "Authorization: Bearer $GEOGEN_API_KEY"

To see which sources Google AI Overviews cite, call GET /v1/entities/citations with the same entityId and models parameters. For the full create-track-read flow, follow the tutorial on tracking brand mentions in ChatGPT via API; the calls are the same, with a different model filter.

Which option should you pick?

• You only need your own site’s AI feature traffic. Use Search Console. It is free and first-party.
• You need the exact overview text for ad hoc queries or research. Use a SERP API, and budget for the storage and scheduling code.
• You need ongoing brand visibility, citations and competitors in AI Overviews. Use a managed visibility API, or connect an agent through the GeoGen MCP server and ask questions in plain language.

Whatever you choose, keep location and language fixed, and compare at least a week of results before you trust a trend. For the wider field of vendors, see the pillar comparison of AI visibility APIs and the rest of the API and developer guides.

Sources: Google Search Central, AI features and your website, SerpApi Google AI Overview API, DataForSEO AI Optimization API.