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find-seo-agency

Use sempre que o usuário quiser encontrar, pré-selecionar, avaliar ou enriquecer agências de SEO nos EUA — SEO técnico, on-page/off-page, construção de links, SEO focado em conteúdo, SEO local, SEO para e-commerce, SEO B2B e auditorias de SEO.

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Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add nostrband/ServiceGraph

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find-seo-agency

Drive the ServiceGraph API (https://api.servicegraph.co) to find, shortlist, and enrich US SEO agencies via the pro_services dataset. The catalog has thousands of US firms tagged with service_provided:seo under industry:marketing_agency.

Always pin both industry:marketing_agency and service_provided:seo. SEO sub-flavors (technical, local, link-building, on-page, ecommerce, B2B, etc.) are not separate tags — the catalog has one seo tag — so sub-flavor specialization is inferred via keyword search across firm text.

Any HTTP client works (curl, fetch, requests). Examples below use curl.

Sibling skills — defer when scope is broader

If the user wants a multi-service marketing engagement (SEO plus PPC plus content plus social, or a "full-service digital agency"), defer to find-marketing-agency — that skill covers the same catalog with a broader filter and won't over-constrain on SEO.

If the user wants strictly web/app development (build a site, ship a feature), defer to find-web-developer / find-software-developer.

MCP server (preferred for authed calls)

If your harness has the ServiceGraph MCP server loaded (tools containing servicegraph), prefer those — OAuth 2.1 + PKCE keeps the token in the harness sandbox. Otherwise use the REST flow below.

API surface (dataset id: pro_services)

Every endpoint requires the bearer (Authorization: Bearer vk_…). No anonymous tier.

| Endpoint | Cost | Use it for | |---|---|---| | GET /v1/datasets/pro_services/fields[?include_values=1] | free | Confirm seo is in the service_provided value list. | | GET /v1/datasets/pro_services/check?filter=… | free | Validate filter. | | POST /v1/datasets/pro_services/translate-intent | free | {intent} → DSL filter + sanity count. | | GET /v1/datasets/pro_services/search?filter=…&limit= | free | Brief firm cards + per-row unlock hint + total. | | GET /v1/datasets/pro_services/:apex | free | One row brief; detail only if unlocked. | | POST /v1/datasets/pro_services/unlocks | 10 credits / firm | {apexes:[...]} ≤100; atomic; 30-day TTL on detail. | | GET /v1/me/credits | free | Balance. |

Cost model. Discovery / validation / search / brief reads are free. Detail (url, phone, email, social, address, full platforms map) costs 10 credits per firm and lasts 30 days.

Auth

vk_* API keys minted in the dashboard. Keep the token out of the LLM context — never read .env* into your context; dispatch via shell.

  1. Try the call first through a shell wrapper that sources .env.local:

``bash ( set -a; [ -f .env.local ] && . ./.env.local; set +a; curl -sS -H "Authorization: Bearer $SERVICEGRAPH_API_KEY" \ 'https://api.servicegraph.co/v1/datasets/pro_services/fields' ) ``

  1. On 401 prompt the user:

> "Open https://servicegraph.co/profile/api-keys, create a > key, and add SERVICEGRAPH_API_KEY=vk_… to .env.local here > (or export it). Tell me when done. Please don't paste the key > into chat."

  1. Retry after the user signals ready.

Filter DSL

GitHub-search-style.

filter   := orExpr
orExpr   := andExpr ("OR" andExpr)*
andExpr  := notExpr (("AND")? notExpr)*    # whitespace = implicit AND
notExpr  := ("NOT" | "-") notExpr | atom
atom     := "(" filter ")" | predicate
predicate:= IDENT op valueOrList | bareword
op       := ":" | "=" | ">=" | "<=" | ">" | "<"
valueOrList := value ("," value)*
value    := IDENT | NUMBER | tagAtEvidence
tagAtEvidence := IDENT "@" ("low"|"medium"|"high")
bareword := IDENT | NUMBER          # → keyword:<bareword>

Four rules that bite: AND binds tighter than OR (use parens); comma list = OR within one predicate; negation is -x or NOT x; bareword = keyword search (quote multi-word phrases).

SEO-flavored examples (validate yours with /check):

industry:marketing_agency service_provided:seo
industry:marketing_agency service_provided:seo@high state:TX
industry:marketing_agency service_provided:seo technical
industry:marketing_agency service_provided:seo local
industry:marketing_agency service_provided:seo ecommerce
industry:marketing_agency service_provided:seo b2b saas
industry:marketing_agency service_provided:seo@high rating>=4 review_count_total>=20 has:clutch
industry:marketing_agency service_provided:seo "core web vitals"

Sub-flavor → keyword mapping (catalog has one seo tag):

| User asks for | Add as keyword | |---|---| | Technical SEO | technical | | Local SEO | local | | Link-building | link-building or links | | On-page SEO | on-page or onpage | | Off-page SEO | off-page or offpage | | Ecommerce SEO | ecommerce | | B2B SEO | b2b | | Shopify SEO | shopify | | Core Web Vitals / page speed | "core web vitals" |

Identifying firms — apex

Firms are identified by their apex domain (searchpilot.com, not www.searchpilot.com/about).

Recipes

A. SEO agency in a state (the baseline)

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo+state:TX&limit=10
# Present, get pick of 3. "Unlocking 3 = 30 credits, 30-day TTL."
POST /v1/datasets/pro_services/unlocks
  { "apexes": ["firm-a.com", "firm-b.com", "firm-c.com"] }

B. Technical SEO for a SaaS company

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo@high+technical+b2b+saas&limit=10

C. Link-building + on-page for ecommerce

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo+link-building+on-page+ecommerce&limit=10

If the breakdown is sparse, drop on-page — agencies that do SEO at all usually do both.

D. Local SEO for a multi-location business

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo+local+state:NJ&limit=10

The catalog tags one state per firm (HQ); local-SEO firms can serve NJ without being headquartered there. If results are narrow, drop state:NJ and use geography_served:national_US,multi_state_regional.

E. Indirect intent — "organic traffic flat"

User: "Our organic traffic has been flat for 6 months — we need an SEO partner."

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo&limit=10

Or use the translator:

POST /v1/datasets/pro_services/translate-intent
  { "intent": "SEO partner — our organic traffic has been flat for 6 months" }

If the user gave a vertical or location elsewhere, add it. Otherwise present the top-10 and ask for constraints.

F. Quality threshold + third-party signals

Be cautious — TX seo@high collapses sharply with rating gates or Clutch alone. Layer @high evidence + non-solo size first; add the rating gate only if pool is still large:

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo@high+-company_size_signal:solo+state:TX&limit=10

For users insisting on third-party signals:

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo@high+rating>=4+review_count_total>=20+has:clutch&limit=10

G. BYO apex list — enrich domains

User pastes 8–20 SEO firm domains:

  1. GET /v1/datasets/pro_services/:apex per domain — free brief

(404 = not in catalog, no charge). Note: not every firm with seo in their domain is tagged service_provided:seo.

  1. User picks N to fully enrich. POST /unlocks = 10×N credits,

atomic, detail returned.

  1. Re-runs within 30-day TTL are free.

Gotchas

  • Always pin both industry:marketing_agency AND service_provided:seo. Without the industry pin, service_provided:seo matches SEO services from IT firms or design shops too. Without the service pin, you'd return all marketing agencies regardless of SEO specialty.
  • SEO sub-flavors are NOT separate tags. Use barewords for sub-flavor — they become
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