Extract Google AI Overviews via API

The Problem

AI Overviews now dominate the top of many Google SERPs, and they are eating click-through rates for everything below them. If your SEO dashboard does not know what the AI Overview says, whether your site is cited inside it, or how the overview changes by location, you are flying blind on a growing share of traffic. Google does not expose AI Overview content through Search Console or any official API. Manual checks do not scale, and most SERP tools either skip the overview entirely or return it as opaque HTML that nobody downstream can use.

The Scavio Solution

Scavio returns AI Overviews as structured, typed data: the generated answer, the list of cited sources with URLs, and the confidence indicators Google exposes. You can track which queries trigger an overview, which domains get cited, and how the overview text shifts across locations and over time. Pair it with an alerting layer and you get notified the moment your domain is cited or dropped. Pair it with your SEO dashboard and you finally have a measurable view of the layer that sits above your organic rank.

Who It Is For

SEO leads, content strategists, and AI search analysts tracking Google's generative layer. If a meaningful share of your target queries now shows an AI Overview, you need structured access to that surface.

Key Benefits

• AI Overview text and source citations returned as structured fields
• Trigger detection so you know which queries surface an overview
• Location-aware so you see how overviews differ by geography
• Historical diffing becomes possible with stable schema over time
• Works alongside standard organic, PAA, and Knowledge Graph data

Python Example

import requests

API_KEY = "your_scavio_api_key"

def ai_overview(query: str):
    r = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY},
        json={"platform": "google", "query": query, "ai_overview": True},
        timeout=15,
    )
    data = r.json()
    ov = data.get("ai_overview")
    if not ov:
        return None
    return {
        "text": ov.get("text"),
        "sources": [s["link"] for s in ov.get("sources", [])],
    }

print(ai_overview("how to refinance a mortgage in 2026"))

JavaScript Example

const API_KEY = "your_scavio_api_key";

async function aiOverview(query) {
  const r = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: {
      "x-api-key": API_KEY,
      "content-type": "application/json",
    },
    body: JSON.stringify({ platform: "google", query, ai_overview: true }),
  });
  const data = await r.json();
  const ov = data.ai_overview;
  if (!ov) return null;
  return {
    text: ov.text,
    sources: (ov.sources ?? []).map((s) => s.link),
  };
}

console.log(await aiOverview("how to refinance a mortgage in 2026"));

Platforms Used