Workflow

Agentic SEO Citation Dashboard

Daily dashboard tracking ChatGPT, Perplexity, and Gemini citations for your brand using Scavio agentic traffic feeds.

Overview

Ships a daily citation report showing which LLM engines mentioned your brand, the prompts that triggered it, and the source URLs cited. Replaces weekly manual checks with an always-on AEO dashboard that feeds a Notion database and a Slack digest at 9 AM daily.

Trigger

Cron schedule (daily at 7 AM UTC)

Schedule

Daily at 7 AM UTC

Workflow Steps

1

Load tracked brands and prompts

Read target brand queries and competitor set from a JSON config.

2

Query each LLM engine

Scavio agentic search against ChatGPT, Perplexity, and Gemini citation endpoints.

3

Extract citation sources

Parse cited URLs and extract domain, anchor text, and position in answer.

4

Diff against yesterday

Compare today's citation set to the prior run and tag gains, losses, and new entrants.

5

Write to Notion database

Upsert one row per (brand, engine, day) with citation count and top sources.

6

Slack digest

Post a morning summary to #aeo-dashboard with wins, losses, and competitor movements.

Python Implementation

Python
import os, requests, json
API_KEY = os.environ["SCAVIO_API_KEY"]
H = {"x-api-key": API_KEY}
BRANDS = ["scavio", "serpapi", "brightdata"]
ENGINES = ["chatgpt", "perplexity", "gemini"]

def citations(brand, engine):
    r = requests.post("https://api.scavio.dev/api/v1/search",
        headers=H, json={"platform": f"agentic-{engine}", "query": brand})
    return r.json().get("citations", [])

report = {}
for b in BRANDS:
    report[b] = {e: citations(b, e) for e in ENGINES}
print(json.dumps(report, indent=2))

JavaScript Implementation

JavaScript
const API_KEY = process.env.SCAVIO_API_KEY;
const H = { "x-api-key": API_KEY, "content-type": "application/json" };
const BRANDS = ["scavio", "serpapi", "brightdata"];
const ENGINES = ["chatgpt", "perplexity", "gemini"];

async function citations(brand, engine) {
  const r = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST", headers: H,
    body: JSON.stringify({ platform: "agentic-" + engine, query: brand })
  });
  return (await r.json()).citations || [];
}

const report = {};
for (const b of BRANDS) {
  report[b] = Object.fromEntries(await Promise.all(ENGINES.map(async e => [e, await citations(b, e)])));
}
console.log(JSON.stringify(report, null, 2));

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Reddit

Community, posts & threaded comments from any subreddit

Frequently Asked Questions

Ships a daily citation report showing which LLM engines mentioned your brand, the prompts that triggered it, and the source URLs cited. Replaces weekly manual checks with an always-on AEO dashboard that feeds a Notion database and a Slack digest at 9 AM daily.

This workflow uses a cron schedule (daily at 7 am utc). Daily at 7 AM UTC.

This workflow uses the following Scavio platforms: google, reddit. Each platform is called via the same unified API endpoint.

Yes. Scavio's free tier includes 500 credits per month with no credit card required. That is enough to test and validate this workflow before scaling it.

Agentic SEO Citation Dashboard

Daily dashboard tracking ChatGPT, Perplexity, and Gemini citations for your brand using Scavio agentic traffic feeds.