Andrew Pickett has won a $9,075,000 wrongful-death verdict, tried 50+ jury trials to verdict, beaten State Farm for $2.5M, and earned 450+ five-star reviews. This afternoon an AI agent searched his name to build the Knowledge Panel a lawyer like that should own. It found an actor, a Canadian-football lineman, a physician — and discovered that the one page on the internet that says who Andrew is has been hidden from Google with a single line of code. Here is the full audit, and the entity home we shipped to anchor him back, before writing this sentence.
37
Ahrefs domain rating — real authority
0
Knowledge Panels rendering for “Andrew Pickett”
~19
organic visits/month to his site
When you Google him, you meet everyone but him
A potential client searches “Andrew Pickett.” The results serve up a Canadian Football League offensive lineman, an actor on IMDb, a public-health director in Pennsylvania, a BYU cheerleader, a family-medicine physician — and a Wikipedia entity. Andrew the personal-injury trial attorney — 50+ jury trials, a $9,075,000 wrongful-death verdict, a $2.5M verdict against State Farm, 450+ five-star reviews — is in there somewhere.
There is no Google Knowledge Panel for “Andrew Pickett.” There can’t be. Google has no confident way to pick one of them — and the one page that should settle it, his own bio, is hidden.
The one line of code behind it all
We pulled the raw HTML of /about/andrew-pickett/ — the page that should be Andrew’s strongest E-E-A-T asset, the page that lists his UVA degree, his University of Florida J.D., his University of Miami LL.M., his decade as an 18th-Circuit prosecutor, his 50+ trials. The meta robots tag reads:
<meta name=”robots” content=”noindex, follow”>
That tag is an explicit instruction to Google: do not index this page. A Knowledge Panel cannot form when the canonical “this is who I am” page is forbidden from the index. Everything else we found is downstream of this.
Run the numbers
| What we checked | Status, June 20, 2026 | Verdict |
|---|---|---|
| The bio page (/about/andrew-pickett/) | Excellent, accurate — and tagged noindex. The homepage is indexable; the page about the person is not. | The entity home, hidden |
| Person schema | A clean Person + ProfilePage entity exists — but only on the noindex page. Defined where Google is told not to look. | Right data, trapped |
| Authority vs. traffic | DR 37 — but ~19 organic visits/mo and only 4 keywords in the top 3. | Strong engine, idling |
| The signals | Three phone numbers; three sameAs sets that disagree; “520” reviews in one module and “450+” in another on the same page. | Three stories, one entity |
See the scorecard
Scored on the same 100-point Personal Brand Score rubric we use for every Local Service Spotlight audit, Andrew opens at 42. The drag is entirely on the machine-readable side — entity home, Knowledge Panel, and search presence — not on the reputation, which is elite.
The counter-intuitive part: a rival at half his authority laps him 26×
Here is the finding that should bother Andrew most, because he is beating himself. His domain has real backlink authority — DR 37. A direct local competitor, Alpizar Law, sits at DR 21 — half of Andrew’s — and converts it into a different universe of demand:
| Live metric, June 20, 2026 | Andrew Pickett Law | Alpizar Law |
|---|---|---|
| Ahrefs Domain Rating | 37 | 21 |
| Keywords in positions 1–3 | 4 | 88 |
| Organic visits / month | ~19 | ~499 |
| Monthly organic traffic value | ~$5 | ~$1,896 |
Half the domain rating, roughly 26× the organic traffic and 22× the top-3 rankings. The bottleneck isn’t links and it isn’t authority — Andrew wins both. It’s on-page content structure and entity disambiguation: the work nobody else in Brevard is doing.
Proof ledger: every number here traces to a source captured today — Ahrefs API for DR/keywords/traffic across both domains, the raw HTML <head> and JSON-LD read live for the noindex tag, the trapped Person schema, and the three phone numbers, and a clean “Andrew Pickett” search for the disambiguation. Page 17 of the PDF maps all of it, claim by claim. Verify before you vouch.
Earned, but not legible
This is the most useful lesson in the whole audit. Andrew did everything that’s hard and slow — the verdicts, the LL.M., the 450+ reviews, the judicial-nominating chair. What’s missing is the cheap, fast part: making that record legible to machines. Un-hide the bio, publish one consistent Person entity on an indexable page, reconcile the phone numbers and the sameAs links, mint a Wikidata ID that says “this Andrew Pickett, not the actor” — and a decade of real proof finally points at one place Google and the AI engines can read.
Ship the fix, not the meeting
So that’s what we did. In the same session that produced this audit, the agent also:
- Built Andrew’s indexable entity home — live now at dennisyu.com/andrew-pickett/: a canonical Person/Attorney page with full schema, a single clean sameAs lattice, explicit “different from” disambiguation against the actor and the athlete, and a high-authority backlink pointing straight at andrewpickettlaw.com. Unlike his current bio, it’s indexable — so Google can finally read who he is.
- Mapped the 90-day plan — de-block the entity and fix NAP (Week 1), disambiguate everywhere and rebuild the top practice pages (Weeks 2–6), then run the content factory and Dollar-a-Day on his verdicts and Brevard guides (Weeks 7–12). Projected score: 42 → 85.
- Documented everything in an 18-page PDF Andrew can read in ten minutes, with a one-page access checklist that asks about 25 minutes of his time, total.
Count the cost
| Line item | This audit | Typical agency |
|---|---|---|
| Research: live Ahrefs across two domains, raw-HTML + JSON-LD entity inspection, live disambiguation search | ≈ $5–7 in tokens + API units, one afternoon | $3,500–$7,500 3–6 weeks no implementation |
| Deliverables: 18-page sourced PDF, live entity home with schema, this article | ||
| Implementation begun before the client was even asked |
The Deliverable
Read the complete 18-page audit — every finding, every source, the 90-day plan, and the 25-minute ask — or see the entity home we already shipped.
Local Service Spotlight · Free Quick Audit
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In about 5 minutes you’ll get a real diagnosis of where you stand in Google and AI search — plus a prioritized action plan tied to revenue, not vanity metrics. Prescription before diagnosis is malpractice, so we start with your data. Then you decide: implement it yourself (even with your own AI agents), or have our trained AI Builders do it for you.
Part of the Local Service Spotlight audit series — following Anthony Hilb, Scot Prohaska, Asbel Montes, Jim Klauck, Chuck Thokey, and Julian David. Same method every time: verify before you vouch, source every claim, ship the fix with the findings. Andrew Pickett gave permission for his audit to be published.
This audit is part of BlitzMetrics Lighthouses — the leaders, founders, and young-adult AI Builders we’re proud to work with. See the full honor roll →
Dennis Yu
Dennis Yu is the CEO of Local Service Spotlight, a platform that amplifies the reputations of contractors and local service businesses using the Content Factory process. He is a former search engine engineer who has spent a billion dollars on Google and Facebook ads for Nike, Quiznos, Ashley Furniture, Red Bull, State Farm, and other brands.
Dennis has achieved 25% of his goal of creating a million digital marketing jobs by partnering with universities, professional organizations, and agencies. Through Local Service Spotlight, he teaches the Dollar a Day strategy and Content Factory training to help local service businesses enhance their existing local reputation and make the phone ring.
Dennis coaches young adult agency owners serving plumbers, AC technicians, landscapers, roofers, electricians, and believes there should be a standard in measuring local marketing efforts, much like doctors and plumbers must be certified.