Accounting Service Schema Generator — Be the Firm Clients Find

Generate clean JSON‑LD for accounting firms and CPAs. Clarify address, phone, hours, and services to improve local visibility and trust.

Try the Accounting Generator

Why many accounting pages underperform

Pain points we solve

• Bare snippets: competitors show hours and phone while your result looks generic.
• Services (bookkeeping, tax prep, audits) aren’t obvious to searchers.
• Inconsistent NAP (name, address, phone) across pages confuses maps and prospects.
• Validator warnings for address fields or `openingHours` slow updates.

How SwiftSchema helps

Solution

Our generator ensures essentials are present and correctly formatted — full address, telephone, opening hours, and brief service notes — and outputs copy‑ready JSON‑LD.

List core services and industries served in visible content. For multiple offices, create a dedicated page per location and apply markup accordingly. Include ratings only when policy‑compliant.

How it works

How it works

1. Choose AccountingService in the generator below.
2. Enter firm name and full address (street, city, region, postal code, country).
3. Add telephone and opening hours; summarize key services in visible content.
4. Optionally include AggregateRating if you have compliant, genuine reviews.
5. Copy JSON or Script, paste on each office page, and validate in the Rich Results Test.

Generate Accounting JSON‑LD

Use once per location. Validate. Ship.

What is AccountingService structured data?

AccountingService is a LocalBusiness subtype tailored for accounting firms, bookkeepers, and CPA practices. It exposes the same core properties as a generic LocalBusiness (

, , , ), but the subtype helps search engines understand that you provide professional financial services. When the schema matches the on-page copy—services, industries served, licensing, and credentials—your Knowledge Graph profile becomes more precise. This clarity can influence how your business appears in the local pack, map panels, and brand searches, even though AccountingService itself does not guarantee a bespoke rich result.

Accounting firms often operate from professional suites or shared buildings, making it hard for crawlers to disambiguate them from other tenants. Structured data fills that gap: it spells out suite numbers, upstairs/downstairs entrances, and the relationship between the practice and wider organizations (e.g., a regional firm with a national parent brand). It also communicates service lines, such as tax planning or forensic accounting, which are critical to connecting with the right clients.

Essential schema fields for accounting firms

1. name
   — match the signage or DBA used in your Google Business Profile.
2. address
   (PostalAddress) — include suite numbers, floor, and
   addressCountry
   in ISO format (“US”, “CA”, etc.).
3. geo
   — optional but helpful; pair latitude/longitude with the address to reduce ambiguity between similar addresses.
4. telephone
   — use a local tracking number that routes directly to the office, not a national call center.
5. openingHoursSpecification
   — specify the days and times you accept client visits. Include Saturday appointments if applicable.
6. image
   /
   logo
   — reference a team photo or office exterior to provide human context.
7. areaServed
   /
   serviceType
   — clarify whether you support SMBs, enterprise finance teams, or individual taxpayers.
8. aggregateRating
   /
   review
   — only if you control first-party review collection and meet Google’s review guidelines.

Preparing your content before adding schema

Structured data should document what a visitor already sees. Before you paste JSON‑LD, make sure the location page clearly answers:

• What services does this office provide? (e.g., IRS dispute resolution, CFO advisory, nonprofit audits)
• Who are the point-of-contact leaders? Include partner bios or at least name/credentials.
• Which industries do you specialize in? Manufacturing, SaaS, healthcare, real estate, etc.
• How do clients contact you after hours? Provide a dedicated email address or secure portal link.

Use descriptive headings (“Tax Planning & Advisory in Austin”) and include scannable bullet lists. Doing so helps voice search and also ensures that when your schema lists a service, there’s identical text on-page for validators to verify.

Implementation checklist

1. Create a unique page per office. Even if you cover multiple suburbs from the same suite, give each city its own landing page to avoid mixed signals.
2. Align NAP data. Ensure the name, address, and phone number exactly match your Google Business Profile, footer, and contact page.
3. Generate AccountingService JSON‑LD. Use the form below to capture the location specifics. Include
   geo
   coordinates if you have them.
4. Layer in Organization/ProfessionalService schema. If you have a parent company, add Organization JSON‑LD globally and reference it via
   parentOrganization
   .
5. Validate and deploy. Run the Rich Results Test. Fix typos (e.g., “Oreg.” vs “OR”) before publishing.
6. Track updates. Each time you change hours during tax season, update both the page content and JSON‑LD.

Multi-office and remote service considerations

Accounting firms commonly mix physical offices with remote-only service areas. For remote or virtual advisory teams, keep the

to your legal office but add arrays to list states where you provide services. If CPAs are licensed in multiple states, mention that explicitly in the copy and consider adding with license numbers or professional designations.

For multi-office setups:

• Give each office its own URL (
  /locations/portland-accountants
  ,
  /locations/salem-tax-advisors
  ).
• Embed a distinct AccountingService schema block on each page referencing that office’s address and phone.
• Link those pages from a hub page that uses ItemList schema to enumerate all locations.
• When a satellite office shares resources (same phone, rotating staff), note that in both content and schema to avoid mismatched review or NAP data.

Reporting and QA tips

Accounting sites often see seasonal spikes (tax season, fiscal year end). Build a simple spreadsheet noting when hours extend or contract, which services are in focus, and who owns updates. When you adjust hours for the busy season, update the

along with the Google Business Profile hours so multiple data sources stay in sync.

If you gather case studies or testimonials, cite them on the page and link to them in

attributes or inline anchors. Documenting real-world results (e.g., “Recovered $2M in R&D credits”) boosts trust and also provides anchor text for internal links, which further reinforces topical relevance.

Troubleshooting common issues

• Incomplete address. Include locality, region, postal code, and country. Missing any of these triggers validation warnings and makes geocoding unreliable.
• Misformatted hours. Use ISO day abbreviations (Mo, Tu, We…) and 24-hour time in a single string (
  Mo-Fr 08:00-18:00
  ). For split shifts, add multiple
  openingHoursSpecification
  entries.
• Over-broad location pages. When multiple offices share the same URL, search engines struggle to decide which map pin to show. Split them into discrete pages.
• Unsupported reviews. Do not embed third-party star ratings inside AggregateRating unless you own the review data. Stick to first-party reviews collected on your site.
• Stale service lists. If you sunset audit services or add a forensic practice, update both the visible copy and schema
  serviceType
  /
  knowsAbout
  entries.

Common Errors & Fixes

• NAP mismatch: Audit the footer, contact page, and Google Business Profile to ensure identical formatting (Suite vs Ste., Road vs Rd.) before validating schema.
• Missing suite numbers: If you share a building with other firms, include
  address
  line 2 (
  unitNumber
  ) or mention it in the
  streetAddress
  .
• Ignoring licensing: Highlight CPA or EA credentials where relevant; regulators expect clarity on who prepares returns.
• Forgetting breadcrumbs: Link back to your main Locations hub or Services overview via breadcrumb markup so crawlers see the hierarchy.

{
  "@context": "https://schema.org",
  "@type": "AccountingService",
  "name": "Ledger & Co.",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "900 Pine St",
    "addressLocality": "Portland",
    "addressRegion": "OR",
    "postalCode": "97205",
    "addressCountry": "US"
  }
}