GEO DIY: Copy-Paste Prompts to Find the Best Schema Link Targets

I am building Schema.org Organization markup for [YOUR COMPANY NAME], a [TYPE OF BUSINESS] based in [CITY, STATE/COUNTRY].

Find me:
1. The exact Wikipedia URL if a page exists for this organization (or a closely related concept)
2. The Wikidata QID (e.g. Q12345) and its entity URL (https://www.wikidata.org/wiki/Q12345)
3. A Crunchbase URL if this company is listed
4. A LinkedIn company page URL if one exists
5. Any government business registry or NAICS classification page that applies

Return each result as a plain URL on its own line. If no match exists for an item, say "Not found" — do not fabricate URLs.

I need sameAs links for a Person entity in Schema.org markup.

Person: [FULL NAME]
Role: [JOB TITLE / ROLE]
Company: [EMPLOYER OR AFFILIATION]
Location: [CITY, STATE/COUNTRY]

Please find:
1. A Wikipedia page for this person (if one exists)
2. A Wikidata QID and entity URL
3. Their LinkedIn profile URL
4. Their Google Scholar profile (if academic)
5. Any major press mentions or profiles on news sites (NYT, Forbes, TechCrunch, etc.) that could serve as subjectOf links

Return URLs only. Flag any result you are not confident about. Do not guess.

I am writing Schema.org markup for a page about the topic: [TOPIC OR INDUSTRY TERM].

Find me authoritative reference URLs for this concept that I can use in sameAs or relatedLink:
1. The Wikipedia page (exact URL)
2. The Wikidata entity URL
3. A definition or overview page on a .gov or .edu domain (if one exists)
4. The most-cited industry report or whitepaper on this topic published in the last 3 years
5. The Schema.org type definition page for the most relevant type (e.g. https://schema.org/Service)

Return each as a plain URL. Do not fabricate. If uncertain, say so.

Below is the text of a blog post. Identify every named entity (organizations, people, technologies, algorithms, regulations, events) that is mentioned.

For each entity:
1. Identify its type (Organization, Person, Technology, Concept, etc.)
2. Find the Wikipedia URL for that entity
3. Find the Wikidata QID

Format your response as a table with columns: Entity Name | Type | Wikipedia URL | Wikidata QID

If an entity has no Wikipedia page, note that. Do not fabricate URLs.

--- START OF CONTENT ---
[PASTE YOUR BLOG POST TEXT HERE]
--- END OF CONTENT ---

I am writing an article that mentions [TECHNOLOGY / PRODUCT / REGULATION NAME].

Find me the best URL to use in a Schema.org "mentions" property for this entity:
1. Wikipedia page URL
2. Wikidata QID and URL
3. Official documentation or product page (e.g. developer.mozilla.org for web technologies, irs.gov for tax regulations)
4. The original research paper or announcement URL (if it came from academic or institutional research)

Rank these by how authoritative AI models are likely to treat them. Return plain URLs.

I run a website about [YOUR TOPIC / INDUSTRY]. I need to find authoritative .gov and .edu URLs that cover this subject area — pages I can reference in my Schema.org relatedLink or citation properties to strengthen E-E-A-T signals.

Topic: [DESCRIBE YOUR TOPIC IN 1–2 SENTENCES]
Audience: [WHO IS YOUR TARGET AUDIENCE]

Find me:
1. 3–5 relevant .gov pages (U.S. federal or state) that cover this topic
2. 3–5 relevant .edu pages (university research, extension programs, white papers)
3. 1–2 international equivalents (EU, UK Gov, or WHO if relevant)

Return page title + URL for each. Confirm the pages are real before listing them.

I need to populate the "subjectOf" property in Schema.org Organization markup for [YOUR COMPANY / BRAND NAME].

Search for:
1. News articles from major outlets (Forbes, TechCrunch, Wired, Inc., Business Insider, local business press) that mention or profile this company
2. Podcast appearances or interviews featuring the founder or team
3. Industry publication features (trade press, niche media)

For each result return: Publication name | Article title | URL | Approximate publish date

If you cannot find verified results, say so rather than guessing. I will manually verify each URL before adding it to my schema.

I made the following claim in a blog post and need a Schema.org "citation" link to support it:

Claim: [PASTE YOUR SPECIFIC CLAIM OR STATISTIC HERE]

Find me:
1. The most authoritative peer-reviewed paper or research report that supports or validates this claim
2. The DOI link or PubMed/arXiv URL for that paper
3. Any Google Scholar search query I can use to find additional supporting studies
4. A .gov or .edu page that references similar data

Return URLs only. Do not fabricate research. If no credible citation exists, tell me that directly.

I need to populate sameAs and hasMap fields in Schema.org LocalBusiness markup for:

Business name: [BUSINESS NAME]
Address: [FULL ADDRESS]
Business type: [TYPE, e.g. "digital marketing agency", "plumber", "restaurant"]
Phone: [PHONE NUMBER]

Find me:
1. The Google Maps listing URL for this business (if it exists)
2. The Apple Maps deeplink URL (if available)
3. Yelp business page URL
4. Better Business Bureau (BBB) listing URL
5. Bing Places listing URL
6. Any industry-specific directory that applies (e.g. Angi for home services, Avvo for lawyers, Healthgrades for doctors)
7. The Chamber of Commerce listing if in a U.S. city

Return each as a plain URL. Note which ones you are confident about vs. which need manual verification.

I offer [SERVICE TYPE] services to clients in [GEOGRAPHIC AREA — city, state, or region].

For my Schema.org areaServed and serviceArea properties, I want to link to authoritative geographic reference pages. Find me:

1. The Wikipedia page for the primary city or region I serve
2. The Wikidata QID for that city/region
3. The U.S. Census Bureau page for that city (if U.S.-based)
4. The official city government website (.gov domain)
5. Any regional business association or economic development authority page

Return plain URLs. Confirm accuracy before listing.

I am building FAQ schema markup for my website about [YOUR TOPIC]. Below are the questions and my draft answers. For each answer, find me the single most authoritative URL I can cite — a .gov page, .edu page, Wikipedia entry, or major publication.

[QUESTION 1]: [YOUR DRAFT ANSWER]
[QUESTION 2]: [YOUR DRAFT ANSWER]
[QUESTION 3]: [YOUR DRAFT ANSWER]

For each question, return:
- The best citation URL
- The domain type (.gov / .edu / Wikipedia / press)
- A one-sentence reason why this source supports the answer

Do not fabricate URLs. If no strong citation exists for an answer, say so.

I want to understand which sources AI answer engines most commonly cite when answering questions about [YOUR TOPIC].

Based on your training data and web access, tell me:
1. The top 5 domains that are most frequently cited as authoritative sources for this topic
2. The specific pages (not just domains) that tend to appear as citations
3. What makes these sources trusted for this topic (recency, authority, data quality, etc.)
4. Which of these sources I could realistically get a link or mention from

This will help me choose which pages to reference in my schema markup and which sites to pursue for backlinks.

Topic: [YOUR TOPIC IN 1–2 SENTENCES]

I am about to add this URL to the "sameAs" field in Schema.org markup for my [Organization / Person / LocalBusiness]:

Entity name: [YOUR ENTITY NAME]
Entity description: [1–2 sentence description]
URL to validate: [THE URL]

Please tell me:
1. Does this URL resolve to a real page that is about this specific entity?
2. Is the entity on this page the same entity I described, or could it be a different entity with a similar name?
3. Is this a high-authority source for this entity type (e.g. Wikipedia for people/orgs, Google Maps for businesses)?
4. Any reason I should NOT use this URL in my schema?

Be direct. If the URL looks wrong or risky, say so clearly.

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "@id": "https://yourdomain.com/#organization",
  "name": "Your Company Name",
  "url": "https://yourdomain.com",
  "logo": "https://yourdomain.com/logo.png",
  "description": "One clear sentence describing what your organization does.",
  "foundingDate": "2023",
  "founder": {
    "@type": "Person",
    "name": "Your Name",
    "@id": "https://yourdomain.com/your-name.html#person",
    "sameAs": [
      "https://www.linkedin.com/in/your-linkedin-handle",
      "https://www.wikidata.org/wiki/Q[YOUR-QID]"
    ]
  },
  "sameAs": [
    "https://en.wikipedia.org/wiki/Your_Company",
    "https://www.wikidata.org/wiki/Q[YOUR-QID]",
    "https://www.linkedin.com/company/your-company",
    "https://www.crunchbase.com/organization/your-company",
    "https://www.bbb.org/us/[state]/[city]/profile/[your-listing]"
  ],
  "subjectOf": [
    {
      "@type": "Article",
      "name": "Article Title That Covers Your Brand",
      "url": "https://techcrunch.com/2026/01/01/article-url"
    }
  ]
}