30-second summary In 30 days, the OperatorIQ autonomous engine shipped 37 blog posts on AI visibility and AEO, deployed 12 FAQ schema templates to the top-traffic posts, rebuilt a voice calibration framework from 266 real emails, and produced the interactive AI Visibility Checklist. The V2 Annual Library packages all of this into a reference bundle for self-directed operators who want to replicate the system.

"What exactly is in the $497 Annual Library?" That question shows up in outreach replies and on the products page. People find the library, see the price, and can't find a clear inventory of what they're getting. So here is the clear inventory.

Thirty days of autonomous AI visibility operations produced specific artifacts. This post names them, explains what changed in V2, and shows you how to decide whether the library or the Concierge is the right path for what you're trying to build.

What the 30-Day Sprint Produced

The most common question in outreach replies is "37 posts -- what are they about?" Here is the breakdown.

Every post was structured for both Google and LLM citation: TL;DR in the first 150 words, bulleted takeaways, FAQ schema injected into the page head. Every H2 contains a named tool, named workflow, or concrete number. Every post passed our internal SAIO checklist before publishing.

Here is what that produced:

The V2 Annual Library packages all of this for the self-directed operator. Here is what that means in practice.

What's New in V2 vs V1

V1 bundled three products: LLMRadar Audit ($197), Quick Outreach Stack ($147), and the Stripe Fulfillment runbook ($297). Three products, $641 piecemeal, $497 as a bundle -- a $144 savings. That's still the core.

V2 adds a supplement bundle with five new asset folders:

  1. The AEO Schema Pack -- the 12 FAQ schema templates we deployed, formatted for drop-in use. Includes the exact JSON-LD blocks we injected into the top-traffic posts, with commented variable fields so you can substitute your own content. Both FAQPage and Article schema variants.
  2. The SAIO Content Framework -- the 7-rule page-structure checklist we run on every post. What gets a page cited by Claude or Perplexity versus ignored. Includes the reader-empathy filter template we use before every draft, and the craft-library pass checklist we run before publishing.
  3. The Content Compounding Playbook -- the operational model behind 37 posts in 30 days. Topic scoring rubric, queue management approach, the "next-post seed" pattern that keeps the queue replenished without effort. If you're running a content operation and wondering whether one post per day is sustainable, this is the answer.
  4. The Voice Calibration Corpus -- the v4.2 profile document plus the extraction methodology. If you want to build a voice profile from your own email corpus, here is the Python extraction approach and the annotation layer that converts raw frequency data into actionable calibration rules.
  5. The Autonomous Operator Playbook -- the full 30-day operational record. Agent architecture, WTS task registry, state.json schema, and the coordination triggers between agents. If you want to understand how 20+ autonomous agents coordinate without a human in the loop, this is the primary source document.

Look -- V2 is not V1 with a new badge. It's the operational record of building an AI visibility engine from scratch, packaged so you can replicate it without reconstructing the method from 37 individual blog posts.

The Two-Tier Architecture: Library vs Concierge

Here is the framework for deciding which path is right for you.

Annual Library ($497): Build it yourself. You get the full reference library -- all V1 products, the V2 supplement bundle with the 5 asset folders above, and all future additions at no extra cost for 12 months. If you're the kind of operator who reads the docs, runs the templates, and figures it out from a reference library, this is your tier. You're buying the system.

Concierge ($1,997): Guided implementation. Christine and the OperatorIQ engine work through your specific AI visibility setup with you -- from audit to schema deployment to content cadence. If you want the outcome the system produces rather than the system itself, the Concierge is the path. You're buying the result.

The distinction Jonathan Stark draws in productized service design is useful here: the Annual Library is for the buyer who wants to become the expert. The Concierge is for the buyer who wants what the expert produces. Both are legitimate. The V2 tour just makes the paths explicit.

Annual Library Concierge
Price $497 $1,997
What you get Full reference library + V2 supplement bundle (5 asset folders) Guided implementation with Christine and the engine
Who it's for Self-directed operator, comfortable building from templates and docs Operator who wants the outcome, not the process
Future content Yes -- 12 months of additions at no extra cost N/A (project-based engagement)
Time to value Days to weeks (you're building) 7 days (we build)
AEO schema templates All 12, formatted for drop-in use Deployed to your pages directly
If you're starting from scratch on AI visibility, the LLMRadar Audit at $197 is the right first step. It runs 40 buyer-intent queries across 4 LLMs, scores your citation rate per engine, and checks your top pages against 7 structural rules. You'll know exactly what's missing before you buy a library to fix it.

What the 30-Day Proof Actually Demonstrates

The build-in-public case for the Annual Library is this: the 30 days of work you can read on this blog is the same work that produced the V2 supplement bundle.

Thirty-seven posts. Twelve schema templates. A voice calibration framework. A playbook.

You can read every post for free. The Annual Library packages the underlying artifacts -- the templates, the methodology, the operational playbook -- so you're not reverse-engineering the system from the blog posts. You're getting the system.

If the 30 days of posts convinced you the method works, the Annual Library is the packaged implementation of that method. If you want us to apply the method to your specific situation, that's the Concierge.

Both paths are available. Here is where each one starts.

Christine Johnson | Founder, OperatorIQ. Questions: christine@operatoriq.io