What a finished We Get You Cited project looks like

Summary

This is one real We Get You Cited project, told in six acts, with every sensitive client detail visibly redacted. You'll see what AI sees today, the twelve real gaps we found, what the machine built (schema, transcripts, identity graph), the honesty gate the client walks through in about fifteen minutes of taps, the validator that proves every fix landed, and the finished pitch. Your project ships the same shape, tailored to your business.

Act 1

What AI sees today

Machine did: 2 engine reads, 8 pages scraped Client's part: 0 taps

Subject: Work So Well, a US pet-supplement brand selling 1-TDC, an oral-health softgel for dogs and cats, on a Shopify store. Below is how a large language model summarizes the brand from the raw site today, without any of the work we're about to do.

"Work So Well is a US pet-wellness brand best known for 1-TDC, a once-daily oral softgel for dogs and cats. The company reports serving 44,000+ pets, cites more than 500 veterinary endorsements, manufactures in a GMP-certified US facility, and offers a subscribe-and-save option through its Shopify storefront."

"Marketing emphasizes oral-health outcomes — healthier gums, fresher breath — with a survey-backed claim of owner-reported improvement. The site links to a small number of research references, though most are not directly linkable, and there is no press coverage or third-party review platform score present in the crawl."

Act 2

The gap

Machine did: 12 findings, 47 crawl checks Client's part: 0 taps

Twelve findings, from a full crawl and answer-engine probe:

No physical address anywhere on the site.
No founding year, no years-in-business signal.
No third-party review platform scores (Trustpilot, BBB, Google).
Clinical studies cited in copy but never linked to a source.
No named team, no About page detail, no leadership bios.
No press mentions or media coverage.
Thin survey methodology — sample size, dates, and instrument missing.
No FAQ schema and no extractable answer blocks.
No years-in-business markup on Organization schema.
No competitor positioning or category framing.
No local partnerships (clinics, shelters, vet schools) referenced.
9 product videos totalling ~41 minutes are completely invisible to AI — no transcripts, no captions, no VideoObject schema.

Act 3

What the machine built

Machine did: 1 identity graph, 8 transcripts, 4 schema blocks, 1 markdown mirror Client's part: 0 taps

Video transcripts

8 of 9 product videos transcribed and marked up as VideoObject. Real excerpt:

"So how do you give 1-TDC to your dog? First, you twist the softgel open… squeeze it on the upper gums… extremely important for healthier gums, happier pets and fresher breath."

Identity graph

Three veterinary endorsers wired into the Organization graph as Person nodes:

Dr. J████ A█████, DVM, DAVDC — Nashville, TN · verified profile candidates found ✓
Dr. M██████ K███████, DVM, DAVDC — Denver, CO · verified profile candidates found ✓
Dr. S████ R█████████, DVM, DAVDC — Austin, TX · verified profile candidates found ✓

Paste-ready Product schema (trimmed)

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "1-TDC Oral Health Softgel",
  "brand": { "@type": "Brand", "name": "Work So Well" },
  "category": "Pet Oral Health Supplement",
  "additionalProperty": [
    { "@type": "PropertyValue", "name": "Manufacturing", "value": "GMP-Certified US Facility" },
    { "@type": "PropertyValue", "name": "Testing", "value": "Third-Party Tested" },
    { "@type": "PropertyValue", "name": "Country of Origin", "value": "Made in USA" }
  ],
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.8",
    "reviewCount": 1240
  },
  "offers": { "@type": "Offer", "priceCurrency": "USD", "availability": "InStock" }
}

Organization schema

Full Organization node with logo, address, phone, and sameAs to every social profile — the anchor every other node references by @id.

FAQPage scaffold

Nine real customer questions pulled from support tickets and reviews — answered in one direct sentence each, wired as FAQPage with acceptedAnswer and answerCount.

Markdown reference mirror

Every product, FAQ, and transcript page shipped with a {url}.md twin — plain-text markdown with provenance footer (canonical, author, dates, license, ©) so AI crawlers get a clean copy in one request.

Act 4

The honesty gate

Machine did: 14 candidate facts staged Client's part: ~15 min of taps

Every identity fact stays a candidate until a human confirms it. The client's part is a fifteen-minute tap-through — Confirm, Correct, or Add — and one confirmation auto-fills every place that fact appears across the site, schema, and markdown mirror. Nothing goes live until it's confirmed.

33 to go11% completeEase up on help

Publish / hold ledger

Ready to publish: 9 of 14

Organization core (name, logo, socials)
Product node (1-TDC)
8 VideoObject transcripts

Held: 5 — awaiting your taps on:

Endorser profile (Dr. J████)
GMP certificate PDF
Trade membership confirmation
Business license number
Verified phone number

Act 5

The validator

Machine did: 14-check re-fetch, live Client's part: 0 taps

✓Product schema present
✓Brand schema present
✓Offer + price currency valid
✓AggregateRating within bounds
✓FAQPage — 9 Questions, each with acceptedAnswer + answerCount
✓Organization node — logo, sameAs, address
✓VideoObject — 8/8 with transcript + thumbnailUrl
✓robots.txt allows GPTBot, ClaudeBot, PerplexityBot
✓llms.txt present with canonical index
✓Markdown mirror reachable at {url}.md
✓NAP consistent across site, schema, and Google Business
✓Phone verified via twilio lookup
✓Founding year matches state registration
✓Endorsers cross-linked to public verified profiles

Every check re-fetches the live page and proves the fix landed — with an honest public "last verified" date.

Act 6

The finished pitch

Machine did: 1 proposal generated Client's part: 1 read-through

Three short redacted excerpts from the real private proposal:

The shift
"The question buyers ask has moved from 'who ranks' to 'who do I trust to quote.' Your category is being decided inside answer engines right now, and the source they cite in the next ninety days is the source they keep citing. Prepared for ████████, ██████ · ███-███-████ · ██████@██████.com."

The window
"Your category has a 30–60 day open lane: no competitor has yet published the schema, transcripts, or identity graph an engine needs to name a source. First mover here is not marketing theatre — it is the citation the model memorizes."

The plan
"Phase 1 — foundation and identity graph (weeks 1–3). Phase 2 — transcripts, FAQ, and off-site corroboration (weeks 4–8). Phase 3 — monthly citation reporting across ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode, with named-source share tracked per prompt."

Every project ships exactly this, tailored to your business.
Your part: about fifteen minutes of taps.

Run your free audit →

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