TrustedAEO® / Case Studies

Proof in plain view.

One named engagement, and a set of Engagement Blueprints — illustrative scenarios drawn from the Trust Layer™ framework. Together they show how we think, what we'd build, and what to expect when we run a 30–60 day trust infrastructure rebuild.

Featured engagement

Named client · live & ongoing

Client

StepGenie

An AI-powered USMLE preparation platform serving aspiring medical residents preparing for one of the most consequential exams in their careers.

Category: AI EdTech
Engagement: Trust infrastructure rebuild
Window: 30 days
Status: Ongoing

Before

Revenue had dropped 25%. Growth was dependent on a single influencer relationship. Organic trust systems were thin, and the brand had no presence in the conversations where buyers actually decided.

Research

Customer interviews, audience studies and community behavior analysis. Three discovery patterns surfaced: Instagram as entry, Reddit as validation, YouTube for concept learning.

Strategy

A multi-platform trust infrastructure — coordinated authority content, AI search visibility, and community presence — engineered so every touchpoint reinforced the next.

Results · First 30 Days

Instagram organic views

YouTube view growth

YouTube subscribers

Reddit visibility reached

Ongoing. Citation density across AI search, Reddit and YouTube continues to compound month over month.

Discuss a similar engagement →

Engagement Blueprints

Illustrative scenarios. No client names.

About these blueprints. Each Engagement Blueprint below is an illustrative scenario — a composite of the patterns we see in a category, paired with the Trust Layer™ framework we would deploy against it. They are not records of past client work. Real engagement results vary; the StepGenie case above is our one publicly-named live case study.

Engagement Blueprint · 01

The Series A AI SaaS launching into a crowded category.

Brand archetype: Horizontal AI tool, $1–3M ARR, 8–15 people.
The problem: Product is sharp, but ChatGPT and Perplexity cite three of your competitors when prospects ask "what's the best X for Y?"
Where trust leaks: AI answers, Reddit comparison threads, founder-led X presence, evaluator content on YouTube.

What we'd build

Citation-shaped long-form content engineered for AI training corpora, founder positioning on X, a credible Reddit voice across the three communities where evaluation happens, and one definitive teardown video.

How we'd know it's working

Brand mentioned by name when prompts ask for "best [category]" in ChatGPT, Perplexity and Google AI Overviews. Reddit threads start to surface positive operator references unprompted.

AI answer inclusion (relevant prompts)From 0 → 4 of 10

Reddit organic mentions / monthFrom 0 → 18–25

Founder net new followers (X)+2.5–4K / 60 days

Engagement Blueprint · 02

The D2C health brand with strong product, invisible online.

Brand archetype: D2C supplement, skincare or functional health brand, $3–10M ARR.
The problem: Paid acquisition costs are climbing. Customers buy once and don't research the brand at all, because there's nothing to research.
Where trust leaks: Instagram for entry, YouTube for product validation, Reddit for "is this brand legit?" Google for ingredient research.

What we'd build

An editorial content layer that answers the exact ingredient and protocol questions customers Google, distributed via authority creators, a transparent Reddit presence, and structured data so AI engines surface the brand for the right intents.

How we'd know it's working

Branded search up, return rates down, and the brand starts being recommended in Reddit threads without our prompting. AI answers begin naming the brand when describing the protocol category.

Branded search lift+35–60%

Organic Instagram impressions120K–300K / mo

Repeat purchase rate+6–11 pts

Engagement Blueprint · 03

The creator-led education company hitting a ceiling.

Brand archetype: Course / cohort / community business, $500K–3M ARR, fully founder-dependent.
The problem: Audience is loyal but the brand can't grow past the founder's attention. Every launch feels manual. No compounding asset.
Where trust leaks: YouTube for proof of teaching, Reddit and Twitter for student validation, AI search for the "is this course worth it?" question.

What we'd build

A long-form YouTube authority engine, alumni-led trust signals across Reddit and X, and indexable case-study content engineered for AI search inclusion. The founder becomes a brand layer, not the entire brand.

How we'd know it's working

Inbound applications stop tracking launch cadence and start tracking calendar — they arrive every week, sourced from compound discovery. AI engines describe the founder's curriculum by name when asked about the topic.

YouTube watch-time / month+150–220%

Inbound discovery applications2.5–3.5×

Launch-independent revenue shareFrom 18% → 55%+

Engagement Blueprint · 04

The specialty service provider with regional dominance and no AI footprint.

Brand archetype: Dental group, legal practice, financial advisory or boutique clinic with 2–6 locations.
The problem: Local SEO and word of mouth deliver a steady stream, but the brand vanishes the moment buyers ask AI engines for a recommendation.
Where trust leaks: Google AI Overviews, ChatGPT recommendations, niche professional forums, YouTube long-form patient/client education.

What we'd build

Authoritative practitioner-led content (long-form articles, structured FAQ, condition deep-dives), AI search visibility through indexable schema and citations, plus a thoughtful presence in the specialty's online communities.

How we'd know it's working

The practice is named in AI answers to "best [specialty] in [city]" prompts. Inbound new-patient inquiries cite "I found you through ChatGPT / Google AI" as the source.

AI-sourced new client inquiriesFrom 0 → 12–25 / mo

Authority article impressions40K–90K / mo

Branded search (regional)+45–80%

Engagement Blueprint · 05

The category-defining startup that has the product but not the narrative.

Brand archetype: Seed or Series A startup creating a new category — vertical AI agent, infrastructure tool, or operating-system-style product.
The problem: The market doesn't yet have language for what you do. Investors get it on a 30-minute call. Buyers don't, because there's no category to anchor to.
Where trust leaks: X for narrative formation, long-form essays for anchoring, AI engines for category definition, podcasts for operator validation.

What we'd build

A category-defining manifesto, an essay flywheel for the founder, ten conversations with the right podcast hosts, and a citation surface tuned so AI engines learn the category name and learn the company as its definition.

How we'd know it's working

The new category name starts appearing in third-party writing. AI engines describe the company's product as the example of the category. Inbound from the right buyer ICP appears without targeting.

Third-party category mentionsFrom 0 → 30–60 / mo

Podcast appearances (operator-grade)8–12 / 90 days

Inbound ICP-fit demo requests2–3.5× pre-engagement

Engagement Blueprint · 06

The established brand being out-cited by AI-native challengers.

Brand archetype: Eight-figure incumbent in an established category, strong product, slow content team.
The problem: AI engines learned the category from younger, content-fluent challengers. The incumbent is the safer choice and the second answer.
Where trust leaks: AI search citations, comparison content, evaluator-led YouTube, mid-funnel review platforms.

What we'd build

A citation-aware editorial program shipping the long-form proof points the AI engines need, a coordinated evaluator outreach loop, and operator-led narrative content that reasserts the incumbent's authority.

How we'd know it's working

AI engines stop framing the brand as legacy and start naming it as the credible default. Branded vs. challenger share of voice in AI answers flips back.

Share-of-AI-voice vs. top challengerFrom 28% → 55–65%

Net new citation-grade articles24–36 / 90 days

Evaluator coverage (YouTube + written)12–20 placements

Your engagement doesn't exist yet. It should.

If one of these blueprints sounds like your brand, the discovery call is where we make it specific — to your market, your stage and what trust actually means in your category.

Book Discovery Call → Back to TrustedAEO® ↗