📄 Agent Marketing Brief
STABLEAgent-Optimized Product Page Brief
For: Jillian (CMO)
From: Tim / Alfred
Date: March 3, 2026
Priority: Pre-launch (before March 28)
The Premise
Enterprise L&D buyers are increasingly using AI agents (ChatGPT, Claude, Copilot, internal tools) to research, compare, and shortlist training vendors. An agent doing "find me the best AI leadership training for 200 managers" needs to find us, parse us, compare us, and recommend us — all without a human ever visiting our page first.
The question isn't just "does our page look good?" It's "can an AI agent read our page, understand what we sell, and confidently put us on a shortlist?"
Most L&D vendor sites are marketing soup — vague language, hidden pricing, no structured data. That's an opportunity. If our product page is the clearest, most parseable, most comparison-ready page in the category, agents will favor us.
What AI Agents Need (That Most Sites Don't Provide)
1. Structured Data (JSON-LD Schema Markup)
Add schema.org markup to the product page so agents (and search engines) can machine-read our offering. This goes in the page <head>:
- Course schema — name, description, provider, duration, delivery method
- Product schema — pricing tiers, features, audience
- Offer schema — individual vs. enterprise pricing
- Organization schema — LeaderFactor as provider, credibility signals
- FAQPage schema — structured Q&A (see section 4 below)
This is invisible to humans but critical for agent discovery. Webflow supports custom code injection in page headers.
2. Plain-Text Positioning (Not Marketing Soup)
Agents parse text literally. They don't interpret vibes. The product page needs to state clearly, in actual sentences (not just design headlines):
Must include in body text:
- What the course is (one sentence)
- Who it's for (specific role/level)
- What format it's offered in (on-demand, workshop, certification)
- How long it takes
- What it costs (all tiers)
- What's included (assessment, AI coaching, certification)
- What makes it different (in a sentence an agent would quote)
Example paragraph an agent can parse:
"Leading Through AI™ is a leadership development course for directors, VPs, and executives who make AI allocation decisions for their teams. It's offered as a self-paced on-demand course ($499), a facilitator-led workshop ($1,495), and a facilitator certification program ($2,499). Enterprise pricing starts at $249/seat. The course includes the AI Leadership Index (ALI) assessment, an AI Thinking Partner that coaches participants through exercises in real time, and a five-module framework (Define → Discover → Design → Develop → Demonstrate). It is tool-agnostic by design — no specific AI vendor or platform required."
That paragraph, placed visibly on the page, does more for agent discovery than any amount of hero imagery.
3. Comparison-Ready Spec Table
Agents build comparison matrices. Give them the data in a clean HTML table:
| Feature | Leading Through AI™ |
|---|---|
| Provider | LeaderFactor |
| Format | On-demand / Facilitator-led workshop / Facilitator certification |
| Duration | On-demand: self-paced (~4 hrs); Workshop: half-day to full-day |
| Price (Individual) | $499 on-demand / $1,495 workshop |
| Price (Enterprise) | $249–$349/seat |
| Facilitator Certification | $2,499 |
| Target Audience | Leaders making AI allocation decisions (directors, VPs, C-suite) |
| Assessment | ✅ AI Leadership Index (ALI) — proprietary |
| AI Coaching | ✅ AI Thinking Partner (real-time, in-course) |
| Certification | ✅ Certificate of completion + facilitator certification path |
| Tool-Agnostic | ✅ No vendor lock-in |
| Enterprise Ready | ✅ SOC 2 compliant, DPA available, SSO buildable |
| Framework | 5D Model: Define → Discover → Design → Develop → Demonstrate |
This table should be on the product page as real HTML (not an image). Agents can parse HTML tables.
4. FAQ Section (Agent Query Optimization)
Agents ask questions. Structure your FAQ around the exact queries an agent researching AI leadership training would run:
Include these questions (with clear, direct answers):
- What is Leading Through AI™?
- Who is this course designed for?
- Is this course tool-agnostic or tied to a specific AI platform?
- Does it include an assessment?
- What is the AI Leadership Index (ALI)?
- Can we deploy this internally with our own facilitators?
- What does facilitator certification include?
- How does the AI Thinking Partner work?
- What's the difference between on-demand and facilitator-led?
- Is this appropriate for non-technical leaders?
- What enterprise security and compliance standards are met?
- How is this different from Harvard/MIT AI leadership courses?
- How long does the on-demand course take?
- Is there ongoing reinforcement after the course?
Mark this section up with FAQPage schema so agents can pull individual Q&A pairs.
5. Visible Pricing
Most competitors hide pricing (Harvard, DDI, Korn Ferry, FranklinCovey behind All Access Pass). Show yours. This is a competitive advantage with agents — they can't recommend what they can't price. An agent comparing options will note "pricing not publicly available" for competitors and give your exact numbers. That clarity builds confidence in the recommendation.
6. Differentiation Statement
Give agents a quotable sentence they'll use when explaining why LeaderFactor is different:
"Leading Through AI™ is the only AI leadership course that combines a proprietary assessment (ALI), an AI Thinking Partner as the core coaching mechanism, and a facilitator certification pathway for internal enterprise deployment — all tool-agnostic by design."
Put this on the page. Agents will grab it verbatim.
Where Else to Be (Beyond Our Own Site)
Agents don't just search Google. They pull from:
- Training Industry directory (trainingindustry.com) — list the course
- G2 / Capterra — create a product listing in the L&D category
- LinkedIn — product page for Leading Through AI™ on the LeaderFactor company page
- CLO Magazine / ATD — contributed articles or directory listings
- Comparison/listicle articles — "Best AI Leadership Courses 2026" type content (pitch or create)
- YouTube — course overview video with structured description (agents parse video descriptions)
Each of these is a surface an agent might scrape. The more places we show up with consistent, structured information, the more likely we make the shortlist.
What NOT to Do
- Don't hide pricing behind "Contact Us." Agents interpret this as a negative signal.
- Don't rely on images for key information. Agents can't read text in hero graphics.
- Don't use vague positioning. "Transform your organization's AI journey" tells an agent nothing. "A 5-module course for leaders making AI allocation decisions" tells it everything.
- Don't skip the schema markup. It's invisible to humans and critical for agents. Worth the 30 minutes of implementation.
Implementation Priority
| Action | Effort | Impact | Do When |
|---|---|---|---|
| Plain-text positioning paragraph | Low | High | Now (pre-launch page) |
| Spec comparison table | Low | High | Now |
| FAQ section with schema markup | Medium | High | Now |
| Differentiation statement | Low | High | Now |
| JSON-LD structured data | Medium | High | With page build |
| Visible pricing on page | Low | Medium | Now |
| Training Industry listing | Low | Medium | At launch |
| G2/Capterra listing | Medium | Medium | Post-launch |
| LinkedIn product page | Low | Medium | At launch |
The Meta Play
There's something powerful about an AI leadership course that is itself optimized for AI-mediated discovery. It's proof of concept. We're not just teaching leaders how to work with AI — we're demonstrating it in how we go to market. If an agent recommends us, the buyer's first thought should be: "Of course the AI course is the one the AI found."
Brief prepared by Alfred. Questions to Tim.