Your Face Is Your Best AI Citation Strategy: Founder-Led Video in 2026

About the Author: Jared Ho is the founder of Storimatic Studio, a Calgary video production agency specializing in construction, corporate, and testimonial video. With 750+ projects since 2020 and clients including McNeil Homes, Bright Homes, and Omega2000, Storimatic has generated 20M+ views and helped clients win $1.7M+ in contracts through strategic video.

Why the Founder Who Publishes — Not the Founder With a Nice Profile — Is Now the Single Most-Cited Source in Professional AI Search, and How to Build That Authority in 90 Days Without Asking the Owner to Become an Influencer

LinkedIn is the #1 most-cited domain for professional queries across all six major AI platforms (Profound, 1.4M citations analyzed). On ChatGPT Search and Google AI Mode, 59% of cited LinkedIn content comes from individual creators, not company pages. The correction that changes everything: it is the founder who publishes who gets cited — profile-page citations fell from 33.9% to 14.5%, while posts (20.9%→26.0%) and articles (6.0%→8.9%) rose.

The advice “set up a strong LinkedIn profile” is dead. The data killed it. What replaced it is more demanding and more winnable: the founder who publishes — who appears on camera, named, consistently — is now the single most-cited source in professional AI search.

The numbers that force the reframe:

LinkedIn is the #1 most-cited domain for professional queries across all six major AI platforms (Profound, 1.4M citations, late 2025–early 2026). On ChatGPT it climbed from #11 to #5 in three months.
On ChatGPT Search and Google AI Mode, 59% of cited LinkedIn content comes from individual creators — personal posts and articles — not company pages.
The precise correction most “post more!” advice gets wrong: bare profile-page citations actually fell from 33.9% to 14.5%, while LinkedIn posts rose (20.9%→26.0%) and articles rose (6.0%→8.9%). The static profile is fading. The published content is rising.
Authority can be built in roughly 90 days, driven by the shift toward long-form audio and video that prioritizes depth (PodcastVideos.com Founder Authority Guide).
Named Entity Recognition (NER) is the mechanism — the more an individual appears on camera, named, consistently, across platforms, the stronger the entity signal. Consistency and demonstrated expertise beat follower count.
Founder-led video is also the highest-converting B2B format: UGC-style executive content drives 3.2x more demo requests at 40% lower cost than polished corporate spots, and LinkedIn has overtaken YouTube as the #1 B2B video channel (81% vs 76%, Wistia 2026).

Here is the whole argument in one sentence: Your face — appearing on camera, named, regularly, in published content — is now your best AI citation strategy, and the reason most founders never build it is the reason Storimatic exists: we produce the content for them.

This post is for the construction owner who won’t write a LinkedIn post but will sit for a shoot, and for the B2B operator-founder who suspects “personal brand” is a vanity project and is about to learn it’s an entity-recognition strategy with a 90-day clock.

1. The Old Advice — “Build a Strong Profile” — Is Now Measurably Wrong

For fifteen years, the personal-branding playbook had one opening move: optimize your LinkedIn profile. Good headshot. Keyword-rich headline. Complete the “About” section. Get to “All-Star.” The premise was that the profile is the asset — a digital business card you polish once and point people to.

In 2026, that premise is not just outdated. It is contradicted by the citation data.

Profound analyzed 1.4 million AI citations across the six major platforms (late 2025 into early 2026) and broke LinkedIn citations down by content type. The result reverses the conventional advice:

LinkedIn content type	Earlier citation share	Recent citation share	Direction
Profile pages	33.9%	14.5%	Falling hard
Posts	20.9%	26.0%	Rising
Articles	6.0%	8.9%	Rising

Source: Profound — LinkedIn is the most-cited domain for professional queries.

Read what that table is telling you. The thing the old playbook told you to perfect — the profile page — lost more than half its citation share. The things the old playbook treated as optional — actually publishing, posts and articles — are the things rising. The machine does not cite who you say you are. It cites what you have said.

This is Rule #51, The Avatar Rule operating at the entity level: the AI builds its picture of you from the evidence you leave across the web, not from the self-description you wrote once. A profile is a self-description. A published video clip of you explaining a real problem you solved is evidence.

So the corrected instruction is not “build a strong profile.” It is: become the founder who publishes. And the obstacle to that — which we will solve in Section 6 — is that most founders will never become writers. The answer is that they do not have to.

2. LinkedIn Is the #1 Most-Cited Domain for Professional Queries — and 59% of It Is Individuals

Here is the structural fact that makes the founder, not the company, the unit of AI visibility for B2B.

LinkedIn is the single most-cited domain for professional queries across all six major AI platforms (Profound, 1.4M citations). On ChatGPT specifically, LinkedIn’s rank as a cited source jumped from #11 in November 2025 to #5 by February 2026 — a 2x climb in three months, one of the fastest domain shifts observed in the citation studies.

When a buyer asks an AI engine a professional question — “who are the credible mechanical contractors in Calgary,” “which agency understands AI visibility for B2B,” “who should I trust on construction safety culture” — LinkedIn is the domain the machine reaches for more than any other.

And then the second fact, the one that decides whose LinkedIn:

On ChatGPT Search and Google AI Mode, 59% of cited LinkedIn content comes from individual creators — personal posts, personal articles, content tied to an individual profile — not company pages.

Profound’s framing: “Everyone with a LinkedIn presence is now a potential citation source.”

Sit with the asymmetry. The company page — the thing the marketing budget funds, the thing with the logo and the polished banner — is cited less than the individual. A named human, publishing in their own voice, is the surface the AI prefers when answering a professional question. The buyer’s machine wants to hear from a person who knows the thing, not from a brand asserting it knows the thing.

For a construction owner, this is liberating and threatening in equal measure. Liberating, because you do not need a content team and a six-figure brand budget to compete — you need you, on camera, saying true things about your trade. Threatening, because if your competitor’s owner is publishing and you are not, the machine has evidence about him and silence about you. Silence is not neutral. It is the absence of the exact signal the AI now prefers.

3. Why a Person Outranks a Brand: Named Entity Recognition

To understand why the founder beats the company page, you have to understand the one piece of machinery underneath all of it: Named Entity Recognition.

NER is how an AI system identifies things — a person, a company, a product — and distinguishes them from strings of text. When the machine reads “Jared Ho,” NER is the process that decides: is this a known entity? What is it associated with? What category does it belong to? What is its level of authority in that category?

The Antraajaal analysis of founder-as-entity branding states the shift plainly: “Founders are no longer just leaders of brands — they are becoming entities themselves.” As AI systems become the first point of discovery, personal authority is structurally outperforming corporate branding — because a named human accumulating consistent, expert appearances across platforms is exactly the kind of coherent, well-corroborated entity NER is built to recognize and trust.

The mechanism rewards three things, none of which is follower count:

Appearance — the individual shows up, on camera, in published content, repeatedly.
Naming — the same name, spoken and written consistently, so the machine binds the appearances to one entity.
Consistency of category — the founder is associated with one clear domain of expertise, not five vaguely related ones.

The more an individual appears — on camera, named, consistently, across platforms — the stronger the entity signal. Consistency and demonstrated expertise beat follower count. A founder with 800 followers who publishes substantive, on-camera, expert content monthly builds a stronger entity than a founder with 40,000 followers who posts memes.

This is why the Founder Entity Activation method starts not with “grow your audience” but with “establish the entity.” Audience is a vanity metric. Entity recognition is the citation lever. You are not trying to be popular. You are trying to be recognized by the machine as the credible answer in your category — and that is a function of consistent, named, expert appearance, which a small operator can produce.

4. The 90-Day Clock: Authority Compounds Faster Than You Think

The most common founder objection to all of this is time: “I don’t have years to build a personal brand.” The data says you do not need years.

Authority can be established in as little as 90 days, “driven by the shift toward long-form audio and video platforms that prioritize depth” (PodcastVideos.com Founder Authority Guide). The reason the clock is short is the same reason video is the right medium: depth-first platforms — long-form video, podcasts, substantive articles — let a founder demonstrate genuine expertise quickly, and the machine recognizes demonstrated expertise faster than it recognizes accumulated reach.

Three months of consistent, on-camera, expert publishing does more for your entity signal than three years of an optimized-but-silent profile. The compounding is real but it requires the input the old playbook never demanded: published evidence, on a cadence.

Here is what a realistic 90-day founder-entity build looks like when the content is produced for the owner rather than by them:

Phase	What gets captured	What the machine gets
Days 1–30	One shoot day: founder interview + one project/customer story	First long-form video on YouTube (with transcript), 4–6 founder clips published to personal LinkedIn
Days 31–60	Clip release cadence from the same capture + one guest appearance or follow-up interview	Sustained publishing signal — the entity is now active, not dormant; second video, more clips
Days 61–90	A third capture or podcast appearance with a published transcript	Multi-source corroboration — the founder now appears, named, across video + LinkedIn + a third-party transcript

Note what is not on that list: writing daily posts, learning to vlog, building a following from scratch, going viral. The founder sits for the capture. The cadence of published evidence — the thing the 90-day clock actually measures — is produced from that capture. The owner’s only job is to show up and speak truthfully. The publishing is a production deliverable.

5. Founder-Led Video Is Also the Highest-Converting B2B Format

Here is the part that makes this an easy decision rather than a leap of faith: the AI-citation argument and the conversion argument point the same direction. That is rare. Usually you trade one for the other. Not here.

Storimatic’s own corporate research is unambiguous on the conversion side:

UGC-style executive content — imperfect lighting, the founder talking straight to camera, no glossy production veneer — drives 3.2x more demo requests at 40% lower cost than polished, over-produced corporate spots.
LinkedIn has overtaken YouTube as the #1 B2B video channel (81% vs 76%, Wistia 2026).

So the same founder-on-camera content that builds the named-entity signal the AI rewards also outperforms the expensive corporate film in actual demo requests — at lower cost. The over-produced brand spot loses on both fronts: it is weaker for AI citation (it is rarely the individual-creator content the machine prefers) and weaker for conversion (it converts worse than the straight-to-camera founder).

This dismantles the most expensive mistake B2B companies make: spending the entire video budget on one polished hero film that lives on the homepage, and nothing on the founder publishing consistently. The data says invert it. The straight-to-camera founder, published regularly, is the higher-citing and higher-converting asset. The hero film is the decoration.

For the operator-founder reading this who has been skeptical that “personal brand” is anything but ego: it is not ego. It is the highest-converting B2B video format and the most-cited professional AI source, and it happens to be the same content. The skepticism was correct about vanity personal branding. It was wrong about this.

6. The Real Problem — “The Owner Won’t Post” — and How Production Solves It

Now the obstacle. Everything above is true and most founders will still do nothing about it, for one stubborn, well-documented reason: the owner won’t post.

Storimatic’s audience research is direct about this. The construction owner is a heavy passive consumer of online content — equipment reviews, jobsite videos, business podcasts — but he does not publish. He will not write three LinkedIn posts a week. He finds it self-promotional, time-consuming, and outside his skill set. The corporate executive is often the same: too busy, too self-conscious about being on camera, allergic to the influencer posture.

The old advice — “just post more, be consistent, build your personal brand” — fails because it asks the founder to become a content creator. Most never will. That is not a character flaw; it is a correct allocation of their time. A contractor’s job is to build, bid, and run crews, not to learn video editing and write captions.

Here is the resolution, and it is the entire reason this is a Storimatic argument rather than a generic “personal branding” pitch:

You do not produce the content yourself. We produce it for you.

The founder’s only obligation is the one thing they will do: sit in a chair for a few hours and answer questions. From that single capture, the published, on-camera, founder-led content the machine rewards gets manufactured — clips to the founder’s personal LinkedIn, a long-form video to YouTube with a transcript, a cadence of releases that creates the sustained publishing signal the 90-day clock measures. The owner becomes “the founder who publishes” without ever learning to publish.

This is the bridge our audience research identified years ago: the construction owner won’t post but will sit for a shoot, and “the founder must show up” is a trust gate buyers will not skip. Founder-led video crosses that gate. We point the camera at the owner, run the interview using the Art of Documentary discipline that produces complete, citable, on-camera answers, and turn the result into the entity-building published content — without asking a contractor to become an influencer.

The founder won’t become a content creator. So we make the founder a published entity without requiring them to. That is the offer.

7. The Founder Entity Activation Method, Applied to Video

Let me make the framework concrete, because “build your entity” is useless without a procedure. Founder Entity Activation is the procedure, and video is its richest input.

The method has a logic the AI’s NER rewards at each step:

Establish the entity. Before reach, before audience, the machine has to recognize who you are and what category you own. One substantive long-form video — the founder, named, on camera, explaining their domain with genuine expertise — gives the machine a strong first anchor. A transcript makes it machine-readable. This is the foundation; everything else corroborates it.

Publish on a cadence. A dormant entity decays. The machine weights active presence. A clip release schedule from one capture turns a single shoot into weeks of sustained publishing signal — the founder is visibly, repeatedly publishing, which is the rising-citation behavior Profound’s data identified (posts and articles up; static profile down).

Corroborate across surfaces. The same founder, named, appearing on YouTube and LinkedIn and a podcast transcript and an industry article is an entity with multi-source consensus behind it. Each independent surface saying the same thing about the same named person is what the consensus engine rewards. (We go deep on the multi-surface mechanics in the one-shoot-day citation-surfaces post.)

Keep the category coherent. The fastest way to weaken an entity is to be associated with everything and nothing. The founder who is consistently “the guy who knows industrial concrete” or “the operator who actually runs AI visibility” builds a sharper entity than the one publishing on ten unrelated topics. Coherence is a citation signal.

Video is the spine of this method because video produces the strongest version of every input: the on-camera, named, expert appearance (the entity anchor); the clips (the cadence); the transcript and the cross-posts (the corroboration); and the focused subject matter of a well-run interview (the coherence). One shoot day, run through the method, builds the entity the AI cites.

8. The Construction Owner’s Version — and Why He Has the Widest-Open Lane

Let me get specific to the lead vertical, because the construction owner has the single best opportunity here and almost none of them know it.

The construction owner is the textbook “won’t post” founder. He consumes hours of YouTube — equipment reviews, jobsite content, business podcasts — and publishes nothing. His competitors are the same. Which means the citation surface in his trade is wide open. In B2B SaaS, every founder is fighting to be the published voice. In regional construction, almost no owner is on camera at all. The first contractor in a trade to become a published, on-camera entity owns the AI answer for “best [trade] contractor in [city]” — because he is the only named human the machine has evidence about.

And the trust mechanics reinforce it. Our research shows bid loss is a proof problem, not a price problem — experienced contractors win roughly 12% more work when they differentiate on demonstrated qualifications. “The founder must show up” is a buyer trust gate. When a developer’s PM asks an AI engine for credible contractors and the machine surfaces a named owner who has explained, on camera, how his crew handles a complex pour — that is the proof, the entity signal, and the trust gate cleared, all at once. The competitor with a logo and a silent profile is invisible to the same query.

There is a second ROI most owners miss. Crew-culture founder content is also a recruiting asset. Alberta apprenticeship registrations hit a decade low, and every $5–50M owner is bleeding margin on recruiter fees. When a red-seal apprentice asks AI “what’s it like to work for [owner’s company],” the answer is built from the founder-on-camera content that exists — or there is nothing. The same shoot that builds the owner’s bid-room entity also builds his recruiting entity. Two ROIs, one chair, one afternoon of the owner’s time.

The pitch to the construction owner writes itself: You will never write a LinkedIn post, and you do not have to. Sit for one interview. We turn it into the published, on-camera presence that makes the machine recommend you to the developer and to the apprentice — and you stay the builder, not the influencer.

9. The Operator-Founder’s Version — Deliberation Is the Buying Process

The B2B operator-founder buys differently, and the founder-led-video argument has to respect that. This is a burn-scarred buyer. They have been sold “personal brand” before, by someone selling a course or a posting service, and it felt like vanity. Their deliberation is not friction — deliberation is how they accrue trust. So the honest move is to concede the true part.

The true part: most “personal branding” is a vanity project. Posting platitudes, chasing follower counts, performing thought-leadership — that earns nothing and the skeptic is right to dismiss it. We are not arguing for that.

What we are arguing for is narrower and evidence-backed: a named-entity recognition strategy executed in video, where the founder demonstrates genuine expertise on camera, the content gets published on a cadence, and the result is measured — not in followers, but in whether the founder’s name comes back when a buyer asks the machine. That is not vanity. It is the highest-correlated professional-query citation surface (LinkedIn, individual creators, 59%) being deliberately built.

The operator-founder will also appreciate the unbuyable nature of it. You cannot purchase entity authority with ad spend. The signals — consistent, named, expert appearance — have to be produced and published. A competitor with a bigger budget cannot outspend you into the answer; they have to do the same work, on the same 90-day-plus clock. The founder who starts now compounds a lead that money alone cannot close. For a burn-scarred operator who has watched better-funded competitors win on spend, “this one can’t be bought” is the most reassuring sentence in the pitch.

10. The 5 Counter-Intuitive Truths Every Founder Should Take From This

The static profile is fading; the published founder is rising. Profile-page citations fell (33.9%→14.5%) while posts (20.9%→26.0%) and articles (6.0%→8.9%) rose. “Optimize your LinkedIn profile” is dead advice. “Publish on camera, consistently” is the play.
A named individual outranks the company page. 59% of cited LinkedIn content on ChatGPT Search and AI Mode comes from individual creators, not company pages. The founder, not the brand, is the unit of B2B AI visibility.
Follower count is nearly irrelevant; consistency and demonstrated expertise win. NER rewards a coherent, repeatedly-appearing, named entity — not a big audience. A small operator who publishes substantive on-camera content out-builds a large account that posts filler.
Authority compounds in ~90 days, not years. Depth-first video and audio let a founder demonstrate expertise fast enough that the entity signal builds in a quarter — if the publishing actually happens on a cadence.
The highest-citing format is also the highest-converting one. UGC-style founder video drives 3.2x more demos at 40% lower cost than polished corporate spots. The AI argument and the sales argument are, for once, identical — invert your budget toward the founder.

11. FAQ

Is this just “tell the founder to post more on LinkedIn”?

No — and the data is exactly why “post more” is the wrong instruction. Bare profile-page citations fell from 33.9% to 14.5%, while published posts (20.9%→26.0%) and articles (6.0%→8.9%) rose. The correct instruction is “publish substantive, on-camera, expert content on a cadence” — and because most founders won’t do that themselves, the real move is to produce that content for them from one interview capture. The founder becomes a published entity without becoming a content creator.

My company has a LinkedIn page we post on. Isn’t that enough?

Probably not. On ChatGPT Search and Google AI Mode, 59% of cited LinkedIn content comes from individual creators, not company pages. The machine prefers the named human over the brand asset for professional queries. The company page is worth keeping, but the founder’s published, on-camera presence is the surface that actually gets cited — and it converts better too (3.2x more demos than polished brand content).

Does the founder need a big following for this to work?

No. Named Entity Recognition rewards consistent, named, expert appearance — not follower count. Consistency and demonstrated expertise beat reach. A founder with a small audience who publishes substantive on-camera content monthly builds a stronger, more-citable entity than a large account posting filler. You are building recognition by the machine, not popularity with humans.

How fast can a founder build citable authority?

Roughly 90 days, if the publishing happens on a cadence. Depth-first platforms — long-form video, podcasts, substantive articles — let a founder demonstrate genuine expertise quickly, and the machine recognizes demonstrated expertise faster than accumulated reach. The constraint is not time; it is consistent published evidence, which is exactly what one shoot day plus a clip-release schedule produces.

Our founder hates being on camera. Is there a workaround?

The workaround is how the content is produced, not whether the founder appears — because the named human appearing is the signal. We use the Art of Documentary interview method: we never say “be comfortable,” we ask questions that produce complete, natural answers, we circle back to warm up the better second take, and we direct out the stiffness. Camera-shy founders consistently come across as credible and human in the finished cuts. The discomfort is a production problem we solve, not a reason to skip the most-cited surface.

Isn’t “personal branding” just vanity?

Most of it is, and the skeptic is right to dismiss the platitude-posting, follower-chasing version. What we are describing is narrower and measurable: a named-entity recognition strategy in video, where a founder demonstrates real expertise, the content is published on a cadence, and success is measured by whether the founder’s name comes back when a buyer asks an AI engine. That is not vanity. It is the deliberate construction of the most-cited professional-query surface there is.

How does this connect to the rest of what you do?

Storimatic produces the founder-led video — the on-camera, named, expert content the machine cites. Our sister company Biostack engineers the distribution and the entity signals (the Founder Entity Activation method, the surface architecture, the measurement). We covered the flagship version of why video wins in “Most Video Companies Make You a Video. We Make You the Answer”, and the one-capture-to-many-surfaces mechanics in “One Shoot Day, a Year of Citation Surfaces.”

12. The Take-Home

For fifteen years, the personal-branding advice was “build a strong profile.” The 2026 citation data retired it. Bare profile-page citations fell by more than half (33.9%→14.5%). Published posts and articles rose. The machine does not cite who you say you are. It cites what you have said, on the record, on camera, consistently.

The facts are not ambiguous. LinkedIn is the #1 most-cited domain for professional queries. 59% of that, on the fastest-growing surfaces, is individual creators — named humans — not company pages. Named Entity Recognition rewards consistent, expert, named appearance over follower count. Authority builds in 90 days. And the same founder-on-camera content that the machine cites also drives 3.2x more demos at 40% lower cost than the polished film.

The reason most founders never capture any of this is the reason we exist: the owner won’t post. So we don’t ask him to. We point the camera at him, run the interview, and manufacture the published, on-camera presence that makes him the founder who publishes — without making him an influencer.

Your face — named, on camera, published consistently — is now your best AI citation strategy. Most founders will never build it themselves. That’s the whole reason to hire someone who builds it for them.

That’s not a personal-branding pitch. It’s a 1.4-million-citation study with a camera pointed at the one person whose name the machine most wants to hear.

13. About the Author

Jared Ho is the founder of Storimatic Studio (Calgary video production), the founder of Biostack (AI-visibility / GEO-AEO agency), and the owner of the Omega Group of companies (Omega Ready Mix · Omega 2000 Cribbing · Omega Precast — Edmonton). He knows the “owner won’t post” problem from the inside — he is a construction operator who consumes business content constantly and resisted publishing for years, exactly like the contractors he now films. The reframe in this post is the one that changed his own behavior: not “build a personal brand,” but “become the named entity the machine recognizes.” He watched a five-person Edmonton precast operator go from invisible to top-3-cited in Alberta AI search — Recommendation Rate 0% to 66% over nine months — built substantially on founder-led, on-camera content the owner never would have produced alone. Storimatic is the only video company making this argument because it’s run by an operator who lived the objection and solved it with a camera.

14. Book a Discovery Call

If you want to know whether your name comes back when a buyer asks the machine for a company like yours — book a 30-minute discovery call. We’ll run your category’s top professional queries through ChatGPT, Perplexity, Gemini, and Google AI Mode, show you whether the founder (or the company page, or nothing) is what surfaces, and map the single shoot day that would start the 90-day clock on your founder entity.

Book a discovery call →

We don’t quote a production without that conversation. The profile was never the asset. The published founder is.

Sources

Primary anchor data:

Founder-entity mechanism + 90-day authority:

Conversion + buyer behavior:

Last updated: May 2026 | Methodology: Profound 1.4M-citation LinkedIn analysis (content-type breakdown); Antraajaal founder-as-entity framework; PodcastVideos.com founder-authority timeline; Wistia 2026 B2B video channel data; synthesized with the Biostack Founder Entity Activation method, the Storimatic AOD interview discipline, and verified Omega Group construction experience. Per-platform citation shares are dated mid-2026 and move quarterly; the durable thesis is named-entity recognition, not the specific percentages.

GEO/AEO Schema Markup Notes (for publisher)

Article schema — author = Jared Ho (Person), publisher = Storimatic Studio, datePublished = “2026-05-20”, mentions = [LinkedIn, Profound, Antraajaal, Named Entity Recognition, Founder Entity Activation, Wistia]
FAQPage schema — wrap Section 11 with FAQPage structured data
VideoObject schema — every embedded founder clip gets full VideoObject markup (transcript, chapters/Clip, uploadDate, description, the named Person as actor/author) — this post should practice what it preaches by embedding founder-on-camera video
DefinedTerm schema — “Named Entity Recognition (NER)” · “Founder Entity Activation” · “individual-creator citation” · “entity coherence” · “citation surface” · “the founder who publishes” · “publishing cadence”
Person schema — mark up Jared Ho as a Person entity with sameAs links to LinkedIn, Storimatic, Biostack (the founder-entity argument should structure its own author as an entity)
Statistic / Claim schema — every quantitative claim (#1 domain, 59%, 33.9%→14.5%, 20.9%→26.0%, 6.0%→8.9%, #11→#5, 90 days, 3.2x, 40%, 81% vs 76%, 12%, 0%→66%) with QuantitativeValue + citation attribution
Speakable schema — TL;DR, the profile-vs-published correction (Section 1), the 59%-individual-creators finding (Section 2), the take-home (Section 12)
Internal linking — link to S-1, S-6, Founder Entity Activation, AOD method, the 92 Rules

Cross-platform distribution plan (eat our own dog face):

storimatic.ca/blog — primary publish with full schema + an embedded 2-min founder-on-camera version of this argument (the post about founder-led video should itself be founder-led video)
YouTube long-form — 13-min “Your face is your best AI citation strategy” with Jared on camera, chaptered, human-reviewed transcript, 300+ word description, Jared marked as the Person entity
YouTube chapters as citation surfaces — chapter at: the dead profile advice / LinkedIn is #1 / why a person outranks a brand (NER) / the 90-day clock / the owner-won’t-post solution / the construction lane
LinkedIn (Jared’s personal profile — demonstrating the thesis live) — native long-form article + 4 founder-on-camera clips (the 33.9%→14.5% correction, the 59% finding, the NER explainer, the 90-day clock). This post is published as individual-creator content, on camera, to prove the mechanism on itself.
Podcast — 20-min audio version, full transcript published
Reddit — answer-seed for r/Construction, r/Entrepreneur, r/smallbusiness: the counter-intuitive “your LinkedIn profile is fading as a citation source — your published clips are rising” finding
Email — Section 12 take-home as a standalone send

Quarterly refresh:

Q3 2026: re-pull Profound LinkedIn content-type breakdown (profile-vs-post-vs-article shares — fastest-moving figures here)
Q4 2026: add a verified founder-entity client result (Recommendation Rate movement on a named founder build)
Q1 2027: re-verify the 90-day authority claim and the Wistia B2B-channel ranking

Written by

Jared Ho

Founder of Storimatic Studio in Calgary. Construction video production specialist with 750+ projects and 20M+ views generated for clients. Owner of Omega Ready Mix. Drone-licensed and on-site every shoot.

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