Discovery
Can AI systems accurately understand who you are?
Shannon Allen
Chief AI Officer · Venture Architect
I build the strategy, systems and digital infrastructure companies need to operate, compete and grow in an AI-first economy.
Most companies now have AI. Very few have changed how the company actually runs. That distance is the work.
Opportunity lives everywhere. So do I.
A Brighter Tomorrow.
* Measured under an earlier rubric. Current-system re-score pending.
Case study · AimwellBio
A healthcare intelligence platform for clinical, research and investment teams, and the company where I hold the Chief AI Officer role. Not advisory work described from the outside. The number below is one I own.
AEO / GEO Readiness
Scored out of 100 by aeo_geo_v2_entity_aware against the frozen
b2b_healthcare_v1.0 rubric. The scorer and the rubric were versioned and pinned
before the work began, and the “before” figure was measured, not remembered. The
evidence package carries the scorer version, the production commit, the raw output and a timestamped
re-score of the live site.
What one coordinated release changed
Entity architecture Answer readiness Structured data Methodology layer Corpus provenance Conversion pathways
Six workstreams, one release. The platform now states who it is, what it does, how its methodology works and where its evidence comes from, in a form a model can lift and attribute rather than paraphrase and drop.
What deliberately did not change
Scorer version pinned Rubric frozen Control rubric 69 → 69 Factor drift none Invented signals none
A second, physician-facing rubric, untouched by this work, was run across the same change as a control, and returned byte-identical results.
The second number is the whole argument. Anyone can move a score by rewriting the test, so the test was frozen first, and an unrelated physician rubric was run across the same change and came back identical, with no factor drift. The ruler did not move. The building did. That is the difference between a metric that improved and a metric you can hand to a sceptic.
Still open: 7 points
93, not 100. The remaining points sit with factors left unmet rather than manufactured. No invented reviews, no fabricated ratings, no opening hours for a company that does not keep any. A case study that scores itself 100 is marketing.
The AI Readiness Standard
Can AI systems accurately understand who you are?
Can your information be retrieved, trusted and reused?
Are decisions being augmented by proprietary context?
Are repetitive workflows actually disappearing?
Can leadership deploy AI without creating new exposure?
AI Readiness · Discovery
One part of AI readiness most companies have not considered.
Search gave you a ranking. Models give you a mention, or nothing. There is no page two inside an answer. There is one paragraph, and your name is in it or it is not.
So what is your company’s AEO/GEO score?
A few seconds. Scored against the same twenty checks used in the case studies below.
robots.txt: GPTBot, ClaudeBot,
Google-Extended, PerplexityBot. And the systems now shaping buying decisions
never read you. Most teams never chose it. A host, a plugin or a CDN chose it for them.
Most sites do not need redecorating. They need rebuilding for retrieval, and the companies doing it now are quietly becoming the default answer in their category.
From Michigan to Seattle to Miami: a global journey across technology, culture, sports, luxury and opportunity.
A life built on connections.Selected Relationships & Partners
Rolls-Royce
Atlanta Braves
Atlanta Hawks
Association of Luxury Suite Directors (ALSD)
Damen
Triton Submarines
Selected Commercial Record
Five platforms. One operating pattern: strategy that becomes systems.
This is the operating room, not the mood board: executive AI leadership, premium commercial systems, partner strategy, market entry and high-trust storytelling brought into one buildable pattern.
Sports, venue, hospitality and luxury relationships shaped into credible partner systems.
Chief AI Officer, innovation leadership, governance, workflows and executive adoption.
Yachts, aviation, mobility and premium buyer journeys built for confidence and close rate.
Technology, mobility, GCC opportunity and founder-led ventures moved from signal to system.
Different places, sharper context and executive storytelling that makes complexity usable.
Ventures & Engagements
Founded, led or creatively directed. Each one a different market, the same operating pattern.
The map in the hero is not aspiration. These are the rooms, and the work that happens once you are actually in them.
Second case study · GlamDerm
Board-certified cosmetic and medical dermatology, two New York offices, recognised expertise in skin of colour. Manhattan is the most contested dermatology market in the country, and to an answer engine the practice was indistinguishable from any other website.
AEO / GEO Score
AEO/GEO score out of 100, scored against the fixed twenty-item rubric used before
aeo_geo_v2_entity_aware existed. The baseline is measured from the Internet Archive capture
of 16 January 2026: a WordPress build from before answer engines mattered. At the practice’s
request the exact baseline figure is not published. It was below passing.
These figures were produced on a different ruler from the AimwellBio score above and are not
comparable with it. No comparison is drawn here, and a re-score under the current system is
pending.
What the machine could read before
Organization SearchAction WebPage WebSite
Generic WordPress boilerplate. It declares that a website exists and an organisation owns it. It does not say who practises there, what they treat, or where they are.
What it reads now
MedicalClinic Physician ×3 MedicalProcedure ×31 PostalAddress ×3 Person ×4 WebPage / WebSite
Named physicians. Thirty-one procedures, each a typed entity linked to the practitioner who performs it. Two offices with structured addresses and phone numbers.
That last number is the whole argument. The rebuilt page carries less copy than the one it replaced. Nothing was bulked up for the algorithm. What changed is that the same practice is now stated in a form a model can lift and attribute, which is the difference between ranking and being named.
Still open: 13 points
FAQ schema, review and rating signals, opening hours, breadcrumbs. Published here because a case study that scores itself 100 is marketing. This is the work, and the next phase of it.
Your turn
Same twenty checks, same rubric, run against your domain. You get the number, the itemised scorecard and the three items costing you the most, in writing, whether or not we ever speak.
Published
Qualification precedes opportunity. The same discipline applied to sovereign market entry, institutional credibility, and now AI.
Market Entry & Qualification
As Featured In
Forbes
Robb Report
Bloomberg
Boat International
CoinTelegraph
Family first. Everything else follows.
Discipline today. Leadership tomorrow.
Bigger horizon. Wider opportunity.
In their words
Public recommendations from people who hired him, worked alongside him, or paid him. Dated, so you can see the pattern rather than a snapshot.
2008
Shannon was a strong “translator” between “IT speak” and “Marketing speak,” and brought greater understanding between the two groups. I advise hiring Shannon.
Jeffrey T. HarrisTechnical Business Analyst · was Shannon’s client
2012
When I was VP of marketing for a major health insurance agency, I had the budget to hire any web designer and developer I wanted. I chose Shannon… He understands the value of great design, but beyond that he understands the power of great copy and business process.
Samuel SalterSenior AI Architect & Management Consultant · was Shannon’s client
2016
If you are a company or brand seeking to adapt to today’s mobile technology shift, Shannon Allen is your secret weapon.
Daniel MojicaVertiport Chicago · UAM / AAM / eVTOL
2024
Shannon has been a thought leader and true professional throughout the years… someone I can rely on to give a success path to a bigger and brighter tomorrow.
Rick PelletierDivisional VP, Strategic Alliances · Rocket Pro
Before you ask
Search gave you a ranking. Models give you a mention, or nothing. SEO optimises for a crawler matching strings; answer engines retrieve entities, claims and relationships. A company can rank on page one and still be unquotable.
Twenty one binary checks across machine access, entity clarity, retrievability and answerability. Every item is pass or fail rather than a judgement, and the rubric is fixed and versioned, so anyone can re-run it and get the same number.
AI and answer engine readiness moved from 54 to 93 out of 100 in one coordinated release. The scoring system was frozen and versioned before the work began, and an independent control rubric run across the same change returned identical results. The improvement is the building, not the test.
Worldwide. The heaviest concentration is the United States and the GCC, particularly Saudi Arabia. Neither is a limit.
The intake runs every hour of every day, which is what AI is genuinely good for. The reply is written by Shannon, weekdays between 10am and 6pm Eastern. Send it at three in the morning; it will be read and answered inside that window.
Chief AI Officer engagements, AI transformation against the AI Readiness Standard, and AEO/GEO retrievability assessment. Strategic advisory, transformation initiatives and ventures, each structured around the objective rather than sold as a fixed package.
Let's work together
Executive Dossier
Chief AI Officer · AI Transformation Executive · Venture Architect
Certified
Education
Issued September 2026. Every credential above links to Anthropic’s own verification record, not a badge image.
References
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