The Problem
Google I/O 2026 announced AI Mode for 1B+ users, Gemini 3.5 Flash, Information Agents, and a redesigned search box. Existing rank tracking setups only monitor organic positions. They miss AI Mode citations, which now drive a growing share of traffic. SEO teams need to update their tracking to cover both traditional rankings and AI Mode visibility.
The Scavio Solution
Extend rank tracking to include AI Overview extraction via Scavio. Each query with ai_overview enabled returns both organic results (traditional position tracking) and AI Overview text (AI Mode citation tracking). One API call, two tracking dimensions. Compare pre-I/O and post-I/O data to detect any ranking shifts caused by the Gemini 3.5 Flash update.
Before
Before updating, the team tracked organic positions for 200 keywords. AI Mode citations were unknown. Post-I/O ranking shifts were detected 2 weeks late because the team was not monitoring AI Overview changes.
After
After updating, the same 200 keywords are tracked for both organic position and AI Overview citation presence ($1/week). The team detected 12 keywords where AI Mode citations changed within 3 days of the I/O update, enabling immediate content optimization responses.
Who It Is For
SEO teams updating tracking after Google I/O 2026. Agencies reporting AI visibility metrics to clients. Enterprise teams monitoring Gemini 3.5 Flash impact on rankings.
Key Benefits
- Track organic positions and AI Mode citations in one API call
- Detect post-I/O ranking shifts within days, not weeks
- 200 keywords tracked weekly for $1.00
- Gemini 3.5 Flash impact visible through AI Overview changes
- Historical comparison of pre-I/O vs post-I/O citation patterns
Python Example
import requests
import json
from datetime import datetime
from pathlib import Path
API_KEY = "your_scavio_api_key"
DOMAIN = "yourdomain.com"
def track_post_io(keywords: list[str]) -> dict:
results = []
for kw in keywords:
res = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": "google", "query": kw, "ai_overview": True},
timeout=15,
)
res.raise_for_status()
data = res.json()
organic_pos = None
for r in data.get("organic", []):
if DOMAIN in r.get("link", ""):
organic_pos = r.get("position")
break
ai_text = data.get("ai_overview", {}).get("text", "")
ai_cited = DOMAIN in ai_text.lower()
results.append({"keyword": kw, "organic_position": organic_pos, "ai_cited": ai_cited, "has_ai_overview": len(ai_text) > 0})
date = datetime.utcnow().strftime("%Y-%m-%d")
report = {"date": date, "total": len(keywords), "organic_top10": sum(1 for r in results if r["organic_position"] and r["organic_position"] <= 10), "ai_citations": sum(1 for r in results if r["ai_cited"]), "details": results}
Path(f"rank_tracking_{date}.json").write_text(json.dumps(report, indent=2))
return report
report = track_post_io(["best search api", "serp api pricing 2026"])
print(f"Organic top 10: {report['organic_top10']}, AI citations: {report['ai_citations']}")JavaScript Example
const API_KEY = "your_scavio_api_key";
const DOMAIN = "yourdomain.com";
async function trackPostIO(keywords) {
const results = [];
for (const kw of keywords) {
const res = 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: kw, ai_overview: true }),
});
const data = await res.json();
const match = (data.organic ?? []).find((r) => (r.link ?? "").includes(DOMAIN));
const aiText = data.ai_overview?.text ?? "";
results.push({ keyword: kw, organicPos: match?.position ?? null, aiCited: aiText.toLowerCase().includes(DOMAIN) });
}
return results;
}
const r = await trackPostIO(["best search api", "serp api 2026"]);
r.forEach((x) => console.log(`${x.keyword}: pos=${x.organicPos ?? "n/a"}, ai=${x.aiCited}`));Platforms Used
Web search with knowledge graph, PAA, and AI overviews