# Seo Local

> Local SEO audit for brick-and-mortar, service-area, and multi-location businesses. Covers Google Business Profile signals on the website, NAP consistency across page and schema, local-pack rank tracking, citation samples on Tier-1 directories, and reviews on Google / Yelp / Trustpilot. Distinct from `seo-page` (URL-level keywords, no local layer) and from `seo-schema` (which generates LocalBusine…

- **Type:** Skill
- **Install:** `agentstack add skill-amirjahfar1-automate-seo-with-claude-seo-local`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [amirjahfar1](https://agentstack.voostack.com/s/amirjahfar1)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [amirjahfar1](https://github.com/amirjahfar1)
- **Source:** https://github.com/amirjahfar1/automate-seo-with-claude/tree/main/skills/seo-local
- **Website:** https://nextbrainsolutions.com/

## Install

```sh
agentstack add skill-amirjahfar1-automate-seo-with-claude-seo-local
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

> Example output: [examples/seo-local-sweetgreen-com-20260514/LOCAL-SEO-REPORT.md](../../examples/seo-local-sweetgreen-com-20260514/LOCAL-SEO-REPORT.md)

# Local SEO

Score a local business's website against the signals that drive local-pack and "near me" visibility — GBP integration on the page, NAP consistency, on-page local intent, citation footprint on Tier-1 directories, review-platform presence, and local-pack rank for the business's primary keywords. Deliverable is one prioritised fix list, anchored in observable signals.

> Adapted from [`AgriciDaniel/claude-seo`](https://github.com/AgriciDaniel/claude-seo)'s `seo-local` skill (MIT). Concept and dimension structure mirror the upstream; backend rewired to DataForSEO + Firecrawl + Google APIs. Maps geo-grid checks from the upstream are dropped (no equivalent backend) — see "Limitations" in the deliverable.

## Prerequisites

- DataForSEO MCP server connected (used for local-pack rank, on-page audit data, domain context).
- Claude's `WebFetch` tool available (used for sense-check fallback when Firecrawl is unavailable).
- User provides: (a) a target domain or homepage URL, (b) at least one primary local keyword (e.g. `"dentist Brooklyn"`, `"plumber near me"`), (c) target country and ideally city/region for local-pack scoping. Optional: GBP listing URL, Yelp/Trustpilot URLs for review scraping.

## Process

1. **Validate target & preflight.** See `skills/seo-firecrawl/references/preflight.md` for the canonical 3-stage preflight (cost note, Firecrawl availability, Google APIs). Skill-specific notes:
   - Normalise the target (strip protocol from domain; confirm homepage is fetchable). Confirm at least one local keyword was provided — if none, infer from `` + `` of the homepage; if still ambiguous, ask the user before continuing.
   - DataForSEO bills per call; this run issues ~15–25 calls (single-page on-page checks + 3–5 SERP queries + 1 domain overview). Use the documented `limit`/`ceiling` params to cap.
   - Firecrawl: optional with WebFetch fallback, ~6–9 Firecrawl credits if available (hard cap 12). When available, steps 4 (GBP-on-page audit), 5 (NAP extraction), and 7 (review scraping) run on the homepage + 5 sample pages + provided review URLs. Without Firecrawl those steps degrade to WebFetch-only — schema/JSON-LD detection and `tel:` / address element extraction become best-effort prose inspection. Pass `--no-firecrawl` to force WebFetch-only.
   - Google APIs: tier 1 (GSC) unlocks step 8b (GSC local query performance) after the local-pack rank step; tier 2 (GA4) additionally unlocks step 8c (GA4 organic-by-landing-page enrichment). See `skills/seo-google/references/cross-skill-integration.md` for the full enrichment contract.

2. **Business-type detection**
   - Read homepage + `/contact` + footer prose (WebFetch markdown is enough for this).
   - Classify as one of:
     - **Brick-and-Mortar** — visible street address, "Visit us at", embedded Maps iframe.
     - **Service Area Business (SAB)** — no street address, "serving {region}", "we come to you", `areaServed` in schema without `address.streetAddress`.
     - **Hybrid** — both signals present (e.g. showroom + service area).
   - This determines which checks apply downstream. SAB skips embedded-map and physical-address consistency. Record in `LOCAL-SEO-REPORT.md` "Snapshot".

3. **Industry-vertical detection**
   - From URL patterns (`/menu`, `/practice-areas`, `/listings`, `/inventory`), ``, page prose, infer one of: Restaurant / Healthcare / Legal / Home Services / Real Estate / Automotive / Generic.
   - This routes citation-source recommendations and schema-subtype recommendations later — load `references/local-citation-sources.md` for the vertical's Tier-1 directories.

4. **GBP signals on the page** `mcp__firecrawl-mcp__firecrawl_scrape` (with `formats: ["rawHtml"]`)
   - Scrape homepage + `/contact` (or whichever page has the most local intent).
   - From `rawHtml` extract:
     - Embedded Google Maps iframe (``) — record place ID if present.
     - Reviews widget / GBP rich snippet markup.
     - `aggregateRating` JSON-LD block (presence is the strongest signal that the site wants stars in SERPs).
     - Business hours visibility on page (open-at-search-time correlates with rank — Whitespark's #5 factor).
     - Click-to-call: count of `` elements.
     - GBP profile link: any `` to `https://g.page/...` or `https://maps.app.goo.gl/...` or `https://www.google.com/maps/place/...`.
   - **If Firecrawl unavailable:** WebFetch markdown can detect a `tel:` link in some renderings but loses iframes and JSON-LD. Mark Maps embed / aggregateRating / GBP profile-link detection as `(skipped — Firecrawl required)`.

5. **NAP consistency** `mcp__firecrawl-mcp__firecrawl_scrape` on homepage + 5 sample pages
   - Sample pages: homepage, `/contact`, `/about`, plus 2 service or location pages (pick from sitemap or top traffic pages).
   - For each, extract:
     - **Visible NAP from rendered prose.** Address pattern (street + city + region + postal), phone (`tel:` href + display format), business name (logo alt, footer, schema `name`).
     - **NAP from JSON-LD.** Parse every `` block. Pull `name`, `address.streetAddress`, `address.addressLocality`, `address.addressRegion`, `address.postalCode`, `telephone`.
   - **Compare across the 6 page samples + schema.** Any divergence (different phone format on the contact page vs homepage; "Suite 200" missing from one footer; schema phone in international format while page shows local format) → record in `nap-inconsistencies.csv`.
   - **Brick-and-mortar only:** if a Maps iframe is present, attempt to read the embedded address from the iframe URL (the place ID and address are URL-encoded). Compare to page/schema NAP. SAB skips this.
   - If `nap-inconsistencies.csv` is empty after the scan, write `nap-inconsistencies.csv` as a one-line file with header only and note "NAP consistent across {n} pages and schema" in `LOCAL-SEO-REPORT.md`.

6. **Local-pack rank tracking** `mcp__dataforseo__serp_organic_live_advanced` with country/region filters
   - For each user-provided local keyword (or the 1–3 inferred from homepage):
     - Call `mcp__dataforseo__serp_organic_live_advanced` with the user's country and the most specific region/city the API supports (use `mcp__dataforseo__serp_locations` first to confirm a valid location code if the user supplied a city).
     - Capture: top 10 organic, local-pack presence (yes/no), the 3 businesses in the local pack if shown (name, rating, review count), AIO presence.
     - Cross-check: is the target domain in the top 10 organic? Is the target business name in the local pack?
   - **Save the parsed result per keyword to `local-keywords.csv`** (columns: `keyword,country,location,local_pack_present,target_in_pack,target_pack_position,target_organic_position,top_pack_competitor_1,top_pack_competitor_2,top_pack_competitor_3`).
   - Note the local-pack-ads caveat: the DataForSEO SERP returns the AI/ads-modified pack as Google serves it. If the local pack shows ads, record that — local-pack ad density jumped from 1% to 22% of mobile US local searches in 2025–2026 per Sterling Sky.

7. **Reviews scraping** `mcp__firecrawl-mcp__firecrawl_scrape` on user-provided review URLs
   - **Inputs (user-provided, optional).** GBP listing URL (`https://www.google.com/maps/place/...`), Yelp business URL, Trustpilot business URL, BBB profile URL.
   - **For each provided URL:** scrape with `formats: ["rawHtml"]`. From the parsed DOM, extract: total review count, average rating, date of most recent review (review velocity proxy), count of owner responses on the most recent 10 reviews.
   - **Aggregate signals:**
     - Velocity: ≥1 new review in last 18 days = healthy (Sterling Sky 18-day rule). >21 days since last = "review cliff" risk.
     - Volume: 100 and average position >10, that's a local-pack reach gap — flag in `LOCAL-SEO-REPORT.md` "Top fixes" with the GSC numbers as supporting evidence.
   - If property not verified for this account: surface "GSC: {target_domain} not verified — add it in Search Console" and continue.
   - See `skills/seo-google/references/cross-skill-integration.md` for failure modes.

8c. **GA4 organic by landing page** *(only if google-api.json is present, tier ≥ 2)*
   - Pull GA4 top organic landing pages, last 28 days:
     `python3 scripts/ga4_report.py --report top-pages --days 28 --json`
   - For multi-location sites, surface per-location-page sessions. If one location page captures 80%+ of organic traffic while peer location pages capture  Snapshot dated {YYYY-MM-DD} · Country: {country} · Region: {region} · Primary keyword: "{keyword}"

## Snapshot
- Business type: {Brick-and-Mortar | SAB | Hybrid}
- Industry vertical: {Restaurant | Healthcare | Legal | Home Services | Real Estate | Automotive | Generic}
- Pages sampled for NAP: {n}
- Local keywords tracked: {n}
- Local pack present on {n}/{m} keywords; target in pack on {p}/{m}
- Review platforms audited: {Google, Yelp, ... | not provided}
- GSC last 28d local-intent queries: {n} queries / {clicks} clicks / {impressions} impressions  *(or `not configured`)*

## Verdict: {STRONG | NEEDS WORK | WEAK}

{One-sentence summary anchored in dimension scores below}

## Dimension scores (0–10)

| Dimension | Score | Top finding |
|---|---|---|
| GBP integration on page | {n}/10 | {one-line} |
| NAP consistency | {n}/10 | {one-line} |
| Local on-page (title/H1/contact/service pages) | {n}/10 | {one-line} |
| Local-pack rank | {n}/10 | {one-line} |
| Reviews & citations | {n}/10 | {one-line} |
| **Composite** | {n}/10 | — |

## Top fixes

### Critical
1. {Specific fix anchored in a finding above. Example: "NAP discrepancy: footer shows '(212) 555-1234' but JSON-LD shows '+1-212-555-9999'. Pick one canonical phone, fix the wrong one." Cite the page/schema source.}

### High
- {fix}

### Medium
- {fix}

### Low
- {fix}

## Local-pack rank summary
- "{keyword 1}": local pack {present/absent}, target {in pack at #n / not in pack}, organic position {n}.
- "{keyword 2}": …
- (Full data: `local-keywords.csv`)

## Reviews health (if audited)
- Google: {n} reviews, {rating} avg, last review {n} days ago, owner response rate {p}%.
- Yelp: …
- Trustpilot: …

## Citation sample
- Google Business: {detected / not detected via site:google.com "..." search}
- Yelp: …
- Facebook: …
- BBB: …
- Apple Business Connect: …
- Bing Places: …
- {vertical-specific 1}: …
- {vertical-specific 2}: …

(Caveat: this is a sample, not a comprehensive citation audit. For definitive coverage, use Whitespark / BrightLocal / Yext.)

## Schema status
- LocalBusiness JSON-LD: {present and valid / present but missing recommended properties / invalid / absent}
- Recommended next step: run `seo-schema {homepage_url}` for paste-ready LocalBusiness markup with the correct industry subtype.

## Limitations
This skill could NOT assess:
- **Geo-grid local-pack rank by lat/long.** Requires a Maps API (e.g. DataForSEO Maps geo-grid endpoint) we don't have. Workaround: pay for Local Falcon, GMB Crush, or BrightLocal Local Search Grid.
- **Comprehensive citation audit.** WebSearch sampling covers ~8 directories; full audits cover 50+. Use Whitespark, BrightLocal, or Yext.
- **GBP Insights data.** Requires GBP API access scoped to the listing owner. Ask the listing owner to export Insights and share.
- **Real-time local-pack rank tracking over time.** This skill is a snapshot. DataForSEO is stateless — for trend tracking, save dated `serp_organic_live_advanced` snapshots to local storage (the `seo-drift` pattern), or for a verified own-site use GSC (`mcp__gscServer__get_search_analytics`).
- **Geo-grid local-pack rank by lat/long.** Not covered by this backend; use Local Falcon, GMB Crush, or BrightLocal Local Search Grid (see above).
```

`local-keywords.csv` columns: `keyword,country,location,local_pack_present,target_in_pack,target_pack_position,target_organic_position,top_pack_competitor_1,top_pack_competitor_2,top_pack_competitor_3,aio_present`

`nap-inconsistencies.csv` columns: `source,name,address,phone,page_or_schema_path,canonical_value,divergence_note`

## Tips

- DataForSEO allows up to 2,000 calls/min, 30 concurrent; pace sequentially. Run the per-keyword `serp_organic_live_advanced` calls one at a time.
- DataForSEO bills per call; this run issues ~15–25 calls typical, plus 6–12 Firecrawl credits when Firecrawl is installed. Cap large lists with `limit`/`ceiling`.
- Verdict heuristic:
  - **STRONG**: composite ≥7/10, NAP consistent across all sampled pages, target in local pack on majority of keywords, valid LocalBusiness schema with industry-correct subtype, ≥10 Google reviews with healthy velocity.
  - **NEEDS WORK**: composite 4–6.9/10, OR 1+ NAP discrepancy, OR target out of local pack on majority of keywords. The "Top fixes" section is the deliverable here — most local-SEO audits land in this bucket.
  - **WEAK**: composite 5 locations, audit one location page per region rather than one per location — the local audit pattern repeats per location, so a sample establishes the baseline. If location-page quality variance is the suspected issue, pair with `seo-content-audit` on a sample of location pages.
- AI-search local context (ChatGPT, Perplexity, AI Overviews) is **not** this skill's job — pair with `seo-geo` (URL-level GEO) or `seo-ai-search-share-of-voice` (domain-level brand visibility) for AI-search local visibility.
- The 18-day review velocity rule (Sterling Sky) is the most actionable single number from review-platform analysis. If the most recent review is >21 days old, that's a leading indicator of upcoming local-pack rank drop — flag as Critical regardless of star rating.
- Citation directories per vertical: load `references/local-citation-sources.md`. The list is curated to the directories that move the needle (Tier 1 + vertical-specific), not the long tail.
- Pair with `seo-technical-audit` if site-wide technical-SEO issues surface in step 8 — this skill scopes to local-relevant findings, not the full audit.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [amirjahfar1](https://github.com/amirjahfar1)
- **Source:** [amirjahfar1/automate-seo-with-claude](https://github.com/amirjahfar1/automate-seo-with-claude)
- **License:** MIT
- **Homepage:** https://nextbrainsolutions.com/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-amirjahfar1-automate-seo-with-claude-seo-local
- Seller: https://agentstack.voostack.com/s/amirjahfar1
- Browse the marketplace: https://agentstack.voostack.com/browse

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