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How to Monitor Local SEO Across Multiple Locations

Monitor local SEO across hundreds of locations through rollup endpoints, with rank and AI visibility per location and the weakest surfaced first.

You cannot watch three hundred locations a page at a time. Monitoring at scale is the opposite motion from the single-location grid view: instead of one location in depth, you want every location shallow, ranked by who needs attention, from as few calls as possible. That is what the rollup endpoints are for.

Read the whole portfolio in one call each

Two rollups cover search and AI, one row per location, no looping:

• GET /api/v1/seo/rollup returns each location's avgRank, top3Pct, top10Pct, bestKeyword and its tags. Sort by avgRank descending and the locations that need work are at the top.
• GET /api/v1/aeo/rollup returns each location's AI-visibility overall and per-engine scores, a delta against last period, a history spark and a topIssue, plus systemicFixes shared across many locations.

curl "https://ai.synup.com/api/v1/seo/rollup?clientId=CLIENT_ID" \
  -H "Authorization: Bearer $SYNUP_API_KEY"

curl "https://ai.synup.com/api/v1/aeo/rollup?clientId=CLIENT_ID" \
  -H "Authorization: Bearer $SYNUP_API_KEY"

const API = "https://ai.synup.com/api/v1";
const headers = { Authorization: `Bearer ${process.env.SYNUP_API_KEY}` };

async function get(path) {
  const res = await fetch(`${API}${path}`, { headers });
  if (!res.ok) throw new Error(`${res.status}: ${(await res.json()).error}`);
  return (await res.json()).data;
}

async function needsAttention(clientId) {
  const seo = await get(`/seo/rollup?clientId=${clientId}`);
  return seo.rows
    .filter((r) => r.avgRank > 10 || r.top3Pct < 20)
    .sort((a, b) => b.avgRank - a.avgRank); // worst first
}

import os, requests

API = "https://ai.synup.com/api/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['SYNUP_API_KEY']}"}

def get(path):
    r = requests.get(f"{API}{path}", headers=HEADERS, timeout=30)
    r.raise_for_status()
    return r.json()["data"]

def needs_attention(client_id):
    seo = get(f"/seo/rollup?clientId={client_id}")
    rows = [r for r in seo["rows"] if r["avgRank"] > 10 or r["top3Pct"] < 20]
    return sorted(rows, key=lambda r: r["avgRank"], reverse=True)  # worst first

Tags are how you slice a big account

Rollup rows carry tags, and the listings and rank endpoints filter by them. Tag locations by region, brand or tier at onboarding and monitoring becomes "how is the West region doing" rather than "here are 300 rows". If you skipped tagging, that is the first thing to fix. The managing thousands of locations guide covers tagging at scale.

Fold in listing health

Rank does not move while the underlying listings are wrong, so a monitoring view that ignores listing health misleads. GET /api/v1/listings/summary gives a per-location sync and issue count with its own insights block, including a fixFirst list. A location that is ranking poorly and also has connection issues is not an SEO problem yet, it is a listings problem. Check health before you spend effort on keywords.

Turn the rollups into alerts

Monitoring is a schedule, not a page. Pull the rollups on a cadence, diff each location's avgRank and AEO overall against the previous run, and alert on the drops that cross a threshold you set. The AEO rollup's delta already gives you the period change, so you do not have to store history yourself for that one.

Next

Acting on what you monitor at the AI layer is track AEO visibility, and running the whole portfolio operationally is the multi-location dashboard guide, which puts these rollups next to reviews and listings on one screen.