GEO Probe — Agifly × Agoria

Agifly×AgoriaGEO Probe

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Questions about the workshop? Reach Alain anytime at alain@agifly.be

Brand nameAliases (comma-separated)DomainLegal nameVAT

Services

Locations

Founding yearCertifications

Competitors (comma-separated)

Estimated cost: €0.0000

Prompt

Language:

You can edit the prompt before sending — the engines receive whatever is in the box.

ChatGPT

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Perplexity

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Gemini

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Claude

Anthropic · web search

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Entity JSON-LD Generator — Schema.org for AI engines

Fill the form on the left. The right pane shows a live JSON-LD preview ready to paste into your HTML <head>. Sensible Acme Belgium defaults are pre-filled so you can see what good looks like.

Legal name *Brand / trade nameURL (your domain) *Entity type *Founding date (year)Founder name(s)BCE / KBO numberVAT number

Address

Street addressPostal codeCityCountry code

PhoneEmailContact page URLNumber of employees

Areas served

Languages

Same-as URLsKnows-about / expertiseIndustries / NAICS codesCertificationsLogo URL

Live JSON-LD preview

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "@id": "https://acmebelgium.be/#organization",
  "name": "Acme Belgium BV",
  "alternateName": "Acme",
  "url": "https://acmebelgium.be",
  "logo": "https://acmebelgium.be/logo.png",
  "foundingDate": "2014",
  "founder": {
    "@type": "Person",
    "name": "Sophie Verlinden"
  },
  "vatID": "BE0123456789",
  "taxID": "0123456789",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Frankrijklei 100",
    "postalCode": "2000",
    "addressLocality": "Antwerpen",
    "addressCountry": "BE"
  },
  "areaServed": [
    "Belgium",
    "Netherlands",
    "Luxembourg"
  ],
  "availableLanguage": [
    "nl",
    "fr",
    "en"
  ],
  "numberOfEmployees": "50-100",
  "knowsAbout": [
    "predictive maintenance",
    "vibration analysis",
    "manufacturing automation",
    "ISO 13374"
  ],
  "industry": [
    "Manufacturing",
    "Industrial automation"
  ],
  "hasCredential": [
    "ISO 9001",
    "ISO 27001"
  ],
  "sameAs": [
    "https://www.linkedin.com/company/acme-belgium",
    "https://kbopub.economie.fgov.be/kbopub/zoeknummerform.html?nummer=0123456789",
    "https://www.wikidata.org/wiki/Q000000"
  ],
  "contactPoint": [
    {
      "@type": "ContactPoint",
      "telephone": "+32 3 123 45 67",
      "email": "hello@acmebelgium.be",
      "contactType": "sales",
      "url": "https://acmebelgium.be/contact",
      "availableLanguage": [
        "nl",
        "fr",
        "en"
      ]
    }
  ]
}
</script>

Golden Source Re-test — diff against a prior run

Pick a baseline run from your session history, re-run now, and compare engine answers side-by-side. Coverage delta and a Golden Source map fall out automatically.

⚠ Heads up — this exercise is designed for multi-session use

AI engines don't re-index your site in real time. Re-running the same prompt 5 minutes after the baseline will almost always give you the same answer (or near-identical) because the underlying training data hasn't changed. This exercise is genuinely useful when you (a) run a baseline now, (b) publish a new Citation Page or update existing content, and (c) come back days or weeks later to measure the impact. For an in-workshop demo, run it just to see the mechanism — don't expect dramatic deltas in the same hour.

What does this exercise actually do?

GEO is a moving target. The same brand can be cited by ChatGPT one day and ignored a week later. Exercise 5 measures whether your GEO work is actually moving the needle. Workflow 1. Run Exercise 1 (Digital Twin Audit) first. That captures a BEFORE snapshot of how each engine answers for your brand. 2. Make a change — publish a new page with a Statistic + Quote + Citation, edit content, or just wait a few days. 3. Come back here, pick that earlier run from the dropdown, and click Re-run now. The exact same prompt runs again on all 4 engines. 4. Read the diff cards per engine: did the brand gain or lose mentions? Citations? Did inaccuracies appear or get resolved? Golden Source map Click Generate Golden Source map to classify your last 5 baseline questions: • golden — cited reliably (≥2 engines cite a source). Keep doing what you're doing. • almost — mentioned but not cited (≥2 engines mention but <2 cite). The Gap column tells you to add a Statistic + Quote + Citation to make the page citable. • missing — not mentioned at all. The Gap says to write a fresh Citation Page targeting this question.

Pick a prior baseline from session history

No prior Digital Twin runs in this session yet. Run Exercise 1 first.

Session history

No probes yet. Run one to get started.

Session configuration