CHAZ
Machine-Readable Governance
Est. 1996
THE SYSTEM ISN'T EVIL.
IT'S FRAGILE.
Institutions fail when
process meets pressure.
Search behavior has changed faster than you might have imagined.
Residents, journalists, lawyers, vendors, and personnel are increasingly turning away from Google. These days, they're using ChatGPT, Copilot, and Gemini.
Unless you've been keeping up, there's a good chance your site's content and data is not designed for this type of interaction.
I help cities, agencies, and organizations address this challenge.
What This Is (and Is Not)
This is IT and information-architecture work, not marketing. We're focused on process, not your sales funnel.
I’m not “doing SEO.”
We're focused on process, not your sales funnel.
The key is to make your existing data, documents, and workflows machine-readable, resilient, and trustworthy for generative engines.
AI is looking for "the" authoritative source. That means:
- Organizing content in a manner that allows AI systems to accurately understand it
- Removing any confusion, redundancy, and isolated data points
- Making certain that publicly available information is correctly presented rather than fabricated
The goal is accuracy, durability, and reduced downstream risk.
What This Work Actually Delivers
Engagements focus on a single department, system, or content domain—public-facing or internal—where accuracy, accessibility, and durability matter.
Typical work includes:
- Data & Content Structuring
Restructuring policies, product documentation, FAQs, disclosures, knowledge bases, and records so generative systems can correctly ingest, summarize, and cite them—without guessing. - Single Source of Truth Corrections
Locating conflicting, duplicated, or stale information across websites, PDFs, portals, and internal tools, then consolidating it into clearly defined authoritative sources. - Workflow Hardening
Mapping how information moves from internal owners and systems to public or client-facing outputs, and fixing the specific steps that introduce errors, lag, or inconsistency. - AI Readiness Diagnostics
Testing how your organization currently appears in generative responses and identifying the structural causes of inaccuracies, omissions, or hallucinated answers.
This is quiet, technical work.
When it’s done correctly, nothing dramatic happens—information stays accurate, systems stay stable, and problems don’t escalate.
That’s the goal.
Why Clarity in Public Information Matters
When public information is ambiguous, fragmented, or inconsistent:
- Generative systems (Generative Engine Optimization aka GEO) fill the gaps instead of asking questions
- Errors propagate instantly and at scale
- Staff are pulled into constant correction and cleanup
- Legal, reputational, and political exposure increases
GEO reduces these risks by fixing the underlying structure—so information is interpreted correctly the first time, instead of corrected after the damage is done.
How Engagements Start
Engagements typically initiate with a focused diagnostic phase lasting two to three weeks:
- Targeting a specific department, system, or information domain
- Providing a comprehensive assessment of structural vulnerabilities
- Delivering a practical remediation strategy with prioritized solutions
These engagements are designed as concise, well-defined professional services projects rather than indefinite staff augmentation. Contracting processes are generally uncomplicated, with the scope and deliverables clearly outlined from the outset. Insights gained can be leveraged across various teams or business units.
Who This Is For
- IT, data, and platform teams responsible for public- or client-facing information
- Organizations operating under regulatory, legal, or reputational scrutiny
- Municipalities, agencies, nonprofits, and private companies with high information visibility
- Teams whose content is frequently cited, challenged, or relied upon for decisions
If your data has to be right—and stay right—this work applies.
When to Consider Other Options
If your needs revolve around branding, content marketing, SEO initiatives, or superficial website enhancements, I may not be the ideal choice for you.
My expertise lies in systems, organization, and precision—rather than in crafting messages.
Contact
disrupt@revolt.training
954-901-0971
Confidential inquiries welcome.
FAQs
1. What is Generative Engine Optimization (GEO)?
Generative Engine Optimization, or GEO, involves organizing data, documents, and workflows in a manner that allows generative AI systems to accurately understand, summarize, and cite the information. The emphasis is placed on precision and establishing authority rather than focusing on rankings or traffic metrics.
2. How does GEO differ from SEO?
While SEO aims to enhance visibility for search engines and increase click-through rates, GEO is tailored for generative systems that provide direct answers to inquiries. The primary objectives are accuracy, consistency, and being recognized as a credible source—rather than merely tracking visibility statistics.
3. Is this related to marketing or communications?
No, this falls under the domain of IT and information architecture. The emphasis lies on systems, structure, and processes instead of branding strategies, messaging tactics, or lead generation efforts.
4. Do you produce new content?
Not typically. The main focus is on refining the organization of existing content so it can be effectively interpreted by AI systems.
5. Which organizations benefit from this service?
Any entity whose information impacts the public—including municipalities, agencies, nonprofits, and private companies—can find value in GEO practices.
6. What issues does this address?
This approach helps prevent inaccurate AI-generated responses, the dissemination of conflicting public information, excessive staff time spent rectifying mistakes, as well as potential legal complications or damage to reputation.
7. How long does a standard engagement last?
Typically, engagements commence with a diagnostic phase lasting two to three weeks that targets a specific department, system, or area of information.
8. What are the usual deliverables?
Deliverables often consist of a detailed assessment identifying structural weaknesses along with documented findings and a prioritized remediation strategy suitable for internal execution or collaboration with vendors.
9. Do you only diagnose problems or do you also implement solutions?
We offer both services. Some projects conclude after diagnosis; others progress into implementation based on their scope, internal capabilities, and risk appetite.
10. Can this work alongside existing IT teams and vendors?
Absolutely. Our approach is designed to complement internal teams by clarifying roles while addressing often overlooked issues.
11. Do you collaborate with legal or compliance teams?
Yes. Our work frequently overlaps with legal requirements and regulatory obligations; we can coordinate efforts with counsel when necessary.
12. When might this not be suitable?
If your priorities are centered around branding initiatives, content marketing strategies, SEO campaigns, or superficial website enhancements—this engagement may not align with your needs.
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