The about page gives AI your company story, founding team, and vendor stability signals. Enterprise buyers ask AI "who is behind this product?" — and the about page is where AI finds the answer.
The about page is your company's credibility page. AI uses it to evaluate vendor stability, founding history, and leadership before recommending your product.
Organization node includes foundingDate, description, and numberOfEmployees — core signals that tell AI how established your company is.Person node with name, jobTitle, and sameAs linking to their LinkedIn profile. AI uses this to verify real people are behind the product.sameAs array on the Organization connects your company to authoritative external profiles, giving AI cross-reference points for trust evaluation.AboutPage instead of generic WebPage tells AI this page specifically describes the company, not the product or a feature.Each field in the template below serves a specific role in how AI systems discover, classify, and recommend your business.
Researched and tested by Minnesota AI
nameurlfoundingDatenumberOfEmployeessameAsconditionalnamesameAsCopy this prompt and paste it into Claude, ChatGPT, Cursor, or any AI coding tool. It will ask for your business details and generate ready-to-use JSON-LD schema for your page.
You are implementing AIFDS-compliant JSON-LD structured data for a SaaS About page. AIFDS (AI-Friendly Data Structure) is a schema framework built on research into which structured data fields AI systems actually read, parse, and use when deciding whether to cite a page. Documentation at aifds.org. Before generating any code, ask me for the following information in a single numbered list. Do not generate schema until I have answered every required field. REQUIRED — do not proceed without these: 1. About page title 2. Answer 3. Company description 4. Company name 5. Crunchbase slug 6. Domain 7. Employee count 8. Founder 9. Founding year 10. Linkedin slug 11. Question 12. Twitter handle OPTIONAL — ask for these but proceed if I skip them: 1. sameAs Once I provide the information, output a complete JSON-LD script block ready to paste into the <head> of my HTML page. Output requirements: - Valid JSON-LD wrapped in <script type="application/ld+json"> tags - schema.org vocabulary only - Every AIFDS-required field for this industry and page type included - Include this data attribute on the script tag: data-aifds="aifds.org SaaS About" - No placeholder text — omit missing optional fields rather than fill with examples - After the code block, list any optional fields skipped that would strengthen AI citation
Generated schema follows the AIFDS framework. Fields were selected based on research into AI crawler behavior. View the research at minnesota.ai
Copy the template below and replace every YOUR_* value with your own data. This block belongs in a <script type="application/ld+json"> tag in the <head> of your about page.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Organization",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_COMPANY_NAME",
"url": "https://YOUR_DOMAIN.com",
"description": "YOUR_COMPANY_DESCRIPTION",
"foundingDate": "YOUR_FOUNDING_YEAR",
"numberOfEmployees": {
"@type": "QuantitativeValue",
"value": "YOUR_EMPLOYEE_COUNT"
},
"founder": [
{
"@type": "Person",
"name": "YOUR_FOUNDER_1_NAME",
"jobTitle": "YOUR_FOUNDER_1_TITLE",
"sameAs": "https://www.linkedin.com/in/YOUR_FOUNDER_1_LINKEDIN/"
},
{
"@type": "Person",
"name": "YOUR_FOUNDER_2_NAME",
"jobTitle": "YOUR_FOUNDER_2_TITLE",
"sameAs": "https://www.linkedin.com/in/YOUR_FOUNDER_2_LINKEDIN/"
}
],
"sameAs": [
"https://www.linkedin.com/company/YOUR_LINKEDIN_SLUG/",
"https://www.crunchbase.com/organization/YOUR_CRUNCHBASE_SLUG",
"https://twitter.com/YOUR_TWITTER_HANDLE"
]
},
{
"@type": "AboutPage",
"@id": "https://YOUR_DOMAIN.com/about/#webpage",
"url": "https://YOUR_DOMAIN.com/about/",
"name": "YOUR_ABOUT_PAGE_TITLE",
"isPartOf": { "@id": "https://YOUR_DOMAIN.com/#website" },
"about": { "@id": "https://YOUR_DOMAIN.com/#organization" }
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/about/#breadcrumb",
"itemListElement": [
{ "@type": "ListItem", "position": 1, "name": "Home", "item": "https://YOUR_DOMAIN.com/" },
{ "@type": "ListItem", "position": 2, "name": "About", "item": "https://YOUR_DOMAIN.com/about/" }
]
},
{
"@type": "FAQPage",
"@id": "https://YOUR_DOMAIN.com/about/#faqpage",
"mainEntity": [
{
"@type": "Question",
"name": "YOUR_QUESTION_1",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_ANSWER_1"
}
},
{
"@type": "Question",
"name": "YOUR_QUESTION_2",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_ANSWER_2"
}
}
]
}
]
}
Use a QuantitativeValue node with a numeric value. For exact headcount, use the number directly (e.g., "value": "45"). For ranges, you can use minValue and maxValue instead (e.g., "minValue": "50", "maxValue": "100"). AI systems use employee count as a company size signal — a company with 200 employees reads differently than a 5-person startup. Keep it current and update it as your team grows.
At minimum, include name, jobTitle, and a sameAs link to their LinkedIn profile. This gives AI enough to verify the person is real and assess their background. You can optionally add image, alumniOf, and description, but the core three fields are what AI relies on for vendor evaluation. If you have co-founders, list each one as a separate Person in the founder array.
Vendor stability signals are structured data points that help AI evaluate whether your company is reliable enough to recommend. The key signals are foundingDate (how long you have been around), numberOfEmployees (company size), founder (real people behind it), and sameAs (external profiles that corroborate your identity). When AI recommends software to enterprise buyers, it weighs these signals to avoid suggesting fly-by-night vendors. A company founded in 2015 with 50 employees and verified LinkedIn profiles is a safer recommendation than one with no background data.