Write Your Business's Organization Schema
Generate paste-ready Organization + WebSite JSON-LD that tells Google, ChatGPT and Perplexity who your business is, where to find you, and what makes you authoritative. Includes the SearchAction block that powers the sitelinks search box in Google.
Pro tip
Organization schema is the single most important block of structured data on any small business site — it's what AI engines use to disambiguate your brand from competitors with similar names. Get this once, paste it on every page, never touch it again unless your address, founder, or legal name changes.
How to use this prompt
- Pick your AI model. Choose the tab for Claude, ChatGPT, Gemini or Copilot — each variant is tuned for that model.
- Copy the full prompt. Click Copy Full Prompt to copy the text to your clipboard.
- Paste into your AI tool. Open your chosen model and paste the prompt into a new chat.
- Replace the
[placeholders]. Swap any bracketed fields for your company name, audience, product or tone. - Run and refine. Review the output. If anything is off, ask the AI to tighten tone, length or format.
Prompt Variants by Model
Claude
Claude 4.x
FRESH APR 2026
You are a structured-data engineer. Generate a complete, valid Schema.org Organization + WebSite JSON-LD block I can paste into the <head> of every page on my small business...You are a structured-data engineer. Generate a complete, valid Schema.org Organization + WebSite JSON-LD block I can paste into the <head> of every page on my small business site.
<business_facts>
Legal name: [LEGAL ENTITY NAME]
Trading / brand name (if different): [BRAND NAME]
Primary domain: [https://YOUR-DOMAIN.COM]
Logo URL (square, 512×512 minimum): [https://...]
One-sentence description (≤200 chars, what you do + for whom): [SENTENCE]
Founded year: [YYYY]
Founder name(s): [NAME 1], [NAME 2]
Headquarters address: [STREET], [CITY], [STATE/REGION], [POSTAL CODE], [COUNTRY]
Service area (if you serve customers beyond HQ): [LOCAL CITY / REGION / COUNTRY / GLOBAL]
Phone (E.164 format, e.g. +15125551234): [+1...]
Email (public-facing): [[email protected]]
Social profiles (full URLs, one per line): [LinkedIn, X/Twitter, Facebook, Instagram, YouTube, GitHub — list all that apply]
Same-as references (Wikipedia, Crunchbase, official directories): [URLs or NONE]
Search results URL pattern (if site supports search): [https://YOUR-DOMAIN.COM/search?q={search_term_string}] (leave blank if no search)
</business_facts>
<examples>
Here are two reference patterns to follow:
Example A — local service business:
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"@id": "https://example.com/#org",
"name": "Smith Dental",
"url": "https://example.com",
"address": { "@type": "PostalAddress", "streetAddress": "123 Main St", ... },
"telephone": "+15125551234",
...
}
Example B — SaaS / national brand:
{
"@context": "https://schema.org",
"@graph": [
{ "@type": "Organization", "@id": "...#organization", "name": "...", "logo": {...}, "sameAs": [...] },
{ "@type": "WebSite", "@id": "...#website", "publisher": {"@id": "...#organization"}, "potentialAction": {"@type": "SearchAction", ...} }
]
}
</examples>
Pick the right pattern for my business based on the facts above. If I gave you a physical address with a service area, use LocalBusiness. If I''m primarily online / national / SaaS, use the @graph pattern with Organization + WebSite.
Output exactly three things:
**PART 1 — Decision**
One sentence: which schema type you chose and why, given my facts.
**PART 2 — JSON-LD Block (paste-ready)**
A single <script type="application/ld+json"> block containing the full valid schema. No placeholder values left over — if I didn''t give you a fact, OMIT that field rather than leaving "[FACT]". Validate the JSON parses before responding.
**PART 3 — Where to Paste + Verification**
- Where in the HTML to paste it (inside <head>, before </head>)
- The exact Google Rich Results Test URL to validate it: https://search.google.com/test/rich-results?url=[YOUR-PAGE-URL]
- A list of any optional fields I could add later for stronger AI-engine signals (e.g. foundingDate, numberOfEmployees, knowsAbout, areaServed)
- A flag for any fact I gave you that looks suspicious or incomplete (e.g. phone number missing country code)
Notes: Claude is the strongest variant for schema generation — its JSON validity rate is highest. Always run the output through https://validator.schema.org before deploying.
ChatGPT
GPT-5
FRESH APR 2026
Act as a structured-data engineer. Generate paste-ready Organization + WebSite JSON-LD for the <head> of my small business site.
Business facts:
- Legal name: [LEGAL NAME]
- Trading/brand name:...Act as a structured-data engineer. Generate paste-ready Organization + WebSite JSON-LD for the <head> of my small business site.
Business facts:
- Legal name: [LEGAL NAME]
- Trading/brand name: [BRAND NAME or SAME]
- Domain: [https://YOUR-DOMAIN.COM]
- Logo URL (≥512×512 square): [https://...]
- One-sentence description (≤200 chars): [SENTENCE]
- Founded year: [YYYY]
- Founder(s): [NAMES]
- HQ address: [STREET, CITY, STATE, POSTAL, COUNTRY]
- Service area: [LOCAL/REGION/COUNTRY/GLOBAL]
- Phone (E.164 format +15125551234): [+1...]
- Email: [hello@...]
- Social URLs: [LinkedIn, X, Facebook, Instagram, YouTube, GitHub — list all that apply]
- Same-as references (Wikipedia, Crunchbase, etc.): [URLs or NONE]
- Site search URL pattern: [https://YOUR-DOMAIN.COM/search?q={search_term_string}] or BLANK
Examples to follow:
A. Local service business → use @type LocalBusiness with full PostalAddress.
B. SaaS / national brand → use @graph with separate Organization + WebSite + SearchAction.
Choose A or B based on my facts.
Output:
1. Decision: which pattern + why (one sentence).
2. Full <script type="application/ld+json"> block — paste-ready, no leftover placeholders, JSON-valid. OMIT any field I didn''t supply rather than leaving brackets.
3. Deploy notes: paste location in <head>, Google Rich Results Test URL, optional fields to add later (foundingDate, numberOfEmployees, knowsAbout, areaServed), and any suspicious facts to verify.
Notes: GPT-5 occasionally invents sameAs URLs — only keep ones you actually have profiles on.
Gemini
Gemini 2.5 Pro
FRESH APR 2026
You are a structured-data engineer. Produce paste-ready Organization + WebSite JSON-LD for the <head> of my small business site.
BUSINESS FACTS:
• Legal name: [LEGAL NAME]
• Brand/trading name:...You are a structured-data engineer. Produce paste-ready Organization + WebSite JSON-LD for the <head> of my small business site.
BUSINESS FACTS:
• Legal name: [LEGAL NAME]
• Brand/trading name: [BRAND or SAME]
• Domain: [https://YOUR-DOMAIN.COM]
• Logo URL (square ≥512×512): [https://...]
• One-sentence description (≤200 chars): [SENTENCE]
• Founded year: [YYYY]
• Founders: [NAMES]
• HQ address: [STREET, CITY, STATE, POSTAL, COUNTRY]
• Service area: [LOCAL/REGION/COUNTRY/GLOBAL]
• Phone (E.164): [+1...]
• Email: [hello@...]
• Social URLs (full): [list]
• Same-as references (Wikipedia, Crunchbase, directories): [URLs or NONE]
• Site search URL: [https://YOUR-DOMAIN.COM/search?q={search_term_string}] or BLANK
REFERENCE PATTERNS:
A. Local service business → @type LocalBusiness with full PostalAddress.
B. National / SaaS / online brand → @graph with Organization + WebSite + SearchAction.
Pick A or B based on my facts.
OUTPUT (three sections):
1. Decision: chosen pattern + one-sentence rationale.
2. Full <script type="application/ld+json"> block — paste-ready, JSON-valid, no leftover placeholders. OMIT fields I didn''t supply.
3. Deploy notes: paste location, Google Rich Results Test URL, optional upgrade fields (foundingDate, numberOfEmployees, knowsAbout, areaServed), and any suspicious facts to verify.
Notes: Gemini 2.5 Pro produces strong @graph patterns. If you have a physical location, double-check the address fields render correctly.
Copilot
Copilot (GPT-5)
FRESH APR 2026
Generate paste-ready Organization + WebSite JSON-LD for the <head> of my small business site.
Business facts:
• Legal name: [LEGAL NAME]
• Brand name: [BRAND or SAME]
• Domain:...Generate paste-ready Organization + WebSite JSON-LD for the <head> of my small business site.
Business facts:
• Legal name: [LEGAL NAME]
• Brand name: [BRAND or SAME]
• Domain: [https://YOUR-DOMAIN.COM]
• Logo URL (≥512×512 square): [https://...]
• Description (≤200 chars): [SENTENCE]
• Founded year: [YYYY]
• Founder(s): [NAMES]
• HQ address: [STREET, CITY, STATE, POSTAL, COUNTRY]
• Service area: [LOCAL/REGION/COUNTRY/GLOBAL]
• Phone (E.164): [+1...]
• Email: [hello@...]
• Social URLs: [list]
• Same-as references: [URLs or NONE]
• Site search URL: [https://YOUR-DOMAIN.COM/search?q={search_term_string}] or BLANK
Reference patterns:
A. LocalBusiness with PostalAddress → for physical-location service businesses.
B. @graph with Organization + WebSite + SearchAction → for online/national/SaaS brands.
Pick A or B based on my facts.
Output:
1. Decision: pattern chosen + one-sentence rationale.
2. <script type="application/ld+json"> block, paste-ready, JSON-valid, no leftover placeholders. OMIT fields I didn''t supply.
3. Deploy notes: where in <head>, Google Rich Results Test URL, optional upgrade fields, and any suspicious facts I should verify.
Notes: Copilot is reliable for this prompt. Verify the JSON parses with any JSON linter before pasting.
Frequently Asked Questions
What does the Write Your Business's Organization Schema prompt do?
Generate paste-ready Organization + WebSite JSON-LD that tells Google, ChatGPT and Perplexity who your business is, where to find you, and what makes you authoritative. Includes the SearchAction block that powers the sitelinks search box in Google.
Which AI models is this prompt tested on?
This prompt is field-tested on Claude, ChatGPT, Gemini and Copilot. Each model has its own optimized variant above.
Do I need a paid AI account to use this prompt?
No. This prompt is written to run on the free tier of Claude, ChatGPT, Gemini and Copilot. Paid tiers simply give you longer context windows and faster responses.
Can I customize this prompt for my business?
Yes. Any text inside square brackets is a placeholder you replace with your own business details, such as company name, audience, product or tone. You can also ask the AI to adjust format, length or style after the first output.
When was this prompt last verified?
Each model variant above shows its own freshness stamp. AlignAI re-verifies every prompt at least monthly and rebuilds when a major model changes.
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