By Ryan Beck, Managing Partner, BECK Digital
Prepared for NADO’s 2026 Annual Training Conference in Reno
Last reviewed: October 12, 2026
This guide accompanies my portion of “Inside Out AI—Mastering Internal AI Policies and External AI Relations.” It is designed for NADO conference attendees who want to explore the resources behind our discussion of quality content, website technology, and a credible public story.
The question at the center of the presentation is simple:
When someone asks AI about your regional development organization, does it get the answer right?
Does it explain your actual services? Identify the communities you serve? Distinguish your planning assistance from a funding agency’s responsibilities? Provide the correct next step?
An answer can sound confident and still get those details wrong. Your opportunity is not to control every AI response. It is to improve the accuracy, clarity, accessibility, and supporting evidence of the public information those responses may draw from.
This is a BECK Digital companion resource for conference attendees—not official NADO guidance or an endorsement by the platforms discussed.
In this guide
- Start here: three useful resources
- More content is not the same as better information
- Answer the questions your community actually asks
- Make expertise visible—and claims verifiable
- Understand what AI search can—and cannot—promise
- Use structured data to describe facts
- Separate search discovery from model training
- Your website is not the whole public record
- When AI gets it wrong, investigate before diagnosing
- Start this week: one program, one question, one owner
Start here: three useful resources
You do not need to read every technical document to begin.
- For leadership and program staff: Google’s helpful, reliable, people-first content guidance. Use it to evaluate whether your information answers real needs and demonstrates relevant expertise.
- For communications staff: Google’s guidance on generative AI content. Use it to build review practices around AI-assisted publishing.
- For your website team: Google’s guidance on AI features and your website. Use it to understand technical eligibility, established search fundamentals, and the limits of special “AI optimization” claims.
The sections below translate those resources into practical questions for an RDO.
1. More content is not the same as better information
“Content is king” has been a familiar marketing slogan for years. But publishing volume is not a strategy by itself.
AI makes producing words easier. It does not automatically make those words useful, accurate, or specific to your organization. Google warns that generating many pages without adding value can violate its spam policies, and it recommends fact-checking AI-generated content before publication.
Consider this fictional example:
- Actual responsibility: your organization helps towns plan infrastructure projects and prepare funding applications.
- Unchecked draft: “We award infrastructure grants.”
That is more than imprecise writing. It changes your role and creates an expectation you may not be able to meet.
The same problem can appear in eligibility requirements, application deadlines, service areas, or program availability.
AI assistance is not inherently low quality. The danger is publishing without someone checking whether the result reflects the approved facts.
Try this
Ask a program owner to review one AI-assisted description:
- Did it introduce a service you do not provide?
- Did it add an unsupported qualification or deadline?
- Did it confuse your responsibilities with a partner’s?
- Does it help someone understand whether you can assist them?
Read more: Google’s guidance on using generative AI content.
2. Answer the questions your community actually asks
People seeking help may not know your organization’s acronym, department names, or formal program terminology.
Start with their problem—not your organizational chart.
For one important service, check whether your public information answers:
- Who are we?
- What do we actually do?
- Who do we help?
- Where do we help?
- What requirements or limits apply?
- What is currently available?
- What supports our claims?
- What should someone do next?
This is a recommended RDO checklist, not a published AI ranking formula.
How you answer matters, too:
- Use plain language.
- Explain unfamiliar acronyms.
- Give the answer before the supporting detail.
- Be explicit about roles and limitations.
- Use descriptive headings and short sections.
- End with the right contact or next step.
Federal plain-language guidance supports simple wording, reader-centered organization, and content that is easy to scan and understand.
An illustrative rewrite
Instead of:
“Our Community Development Division facilitates infrastructure-related technical assistance.”
Consider:
“Does your town need help planning a water project? Our team can help you understand the planning and funding-application process. We provide technical assistance—we do not award the funding. Contact our community development team to discuss your project.”
Only use wording like this if it accurately describes your services.
Read more:
3. Make expertise visible—and claims verifiable
Google describes four qualities associated with helpful content: experience, expertise, authoritativeness, and trustworthiness, commonly abbreviated as E-E-A-T. It says trust is the most important of these qualities. E-E-A-T is not itself a specific ranking factor or a universal numerical score used by every AI product.
For an RDO, the framework becomes four practical questions:
| Question | What your organization can demonstrate |
|---|---|
| Have you actually done this work? | Explain your contribution to a project and document the results. |
| Does the person explaining it know the subject? | Have the appropriate specialist write or review guidance. |
| Are you recognized as a relevant source? | Identify relevant official references and partner descriptions. |
| Can someone rely on the information? | Provide accurate facts, supporting sources, current information, and clear limitations. |
You likely already have much of this material: staff expertise, regional plans, project records, and established partnerships.
The task is to make it recognizable and verifiable.
Where authorship is appropriate, identify the real person or team behind the guidance. A byline does not create expertise; it should help a reader understand who is responsible and why their knowledge is relevant. Google’s guidance emphasizes clear sourcing and creator information where readers would expect it.
Read more: Creating helpful, reliable, people-first content.
4. Understand what AI search can—and cannot—promise
Search-enabled AI tools can retrieve public sources while developing an answer. Google describes a “query fan-out” technique in which its AI features may issue related searches across subtopics and data sources.
This means your website is not only a destination. It can also be a source from which another system explains your organization.
For Google’s AI supporting links, a page must be indexed and eligible to appear with a snippet. There are no additional technical requirements specific to those AI features, and meeting the requirements does not guarantee selection.
Questions for your web team
- Can intended search crawlers access our approved public information?
- Are important program pages eligible for indexing?
- Are they linked from relevant navigation and related pages?
- Is essential information available as readable text?
- Are restrictions or security settings unintentionally blocking access?
Read more:
The starter guide provides a useful foundation for site organization, navigation, and clear content.
5. Use structured data to describe facts—not manufacture credibility
Structured data is a standardized way to describe information on a page. Google uses it to help understand content and entities. The markup should describe information visitors can see, rather than introduce hidden or unsupported claims.
For an RDO, organizational identity is a useful starting point.
Google’s Organization documentation covers information such as names, alternate names, website address, contact details, and relevant identity references. These properties can help distinguish an organization from others.
Try this
Ask your developer to compare the markup with your visible public information:
- Is the official name correct?
- Is the acronym or alternate name represented appropriately?
- Are the website and contact details current?
- Do referenced profiles identify the same organization?
- Does the markup agree with what visitors read?
Structured data is not a substitute for useful content. Google does not require special AI schema for its AI search features, and markup does not guarantee an AI citation.
Read more:
6. Separate search discovery from model training
Crawler access is a technical topic, but it connects directly to organizational policy.
OpenAI documents separate crawlers for different purposes:
OAI-SearchBotsupports ChatGPT search discovery.GPTBotrelates to content that may be used for model training.
OpenAI describes independent controls for the two.
Your organization should make deliberate decisions about access rather than assuming every AI-related crawler serves the same purpose.
Ask your web team to review crawler and security settings against your intended public-discovery and data-use policies.
Also be cautious about universal requirements involving llms.txt, Markdown mirrors, or special AI markup. Google says new machine-readable files and special markup are not required for its AI search features. Optional approaches should address a specific use case—not come with citation guarantees.
Read more: OpenAI’s overview of crawlers.
7. Your website is not the whole public record
Your own pages explain your account. Other sources may corroborate particular facts.
Imagine a fictional infrastructure project:
- Your RDO explains its planning assistance.
- The municipality identifies the project owner.
- The funding agency identifies the award recipient.
- Reporting describes the project’s outcome.
Those sources establish different facts. The public record should clarify the relationships, not blur them.
Ask:
- Do partners use the right organization name?
- Do they describe your actual contribution?
- Are outdated descriptions still circulating?
- Are results supported by documentation?
- Have you distinguished your role from the roles of others?
The objective is not merely more mentions. It is accurate positioning, documented outcomes, and relevant outside descriptions that people can check. None of these should be presented as a guarantee of AI recommendations.
8. When AI gets it wrong, investigate before diagnosing
An inaccurate answer is a reason to investigate—not proof that your website lacks expertise or that one technical feature will solve the problem.
Use a simple record:
| Record | What to capture |
|---|---|
| Question | The exact wording entered. |
| Context | The tool, date, and relevant conversation context. |
| Error | The specific statement that is wrong or unsupported. |
| Sources | What the answer cites and whether those sources support it. |
| Correct information | Facts verified by the program owner. |
| Next action | A public-page correction, partner correction request, or technical investigation. |
| Follow-up | What happened in subsequent tests. |
For Google-specific investigations, Search Console’s URL Inspection tool provides information about an indexed page and tests its indexability. The Page indexing report helps investigate indexing status and problems. These tools do not evaluate every AI platform.
Read more:
Treat repeated testing as a diagnostic process. One response is not a stable ranking or proof that a particular change caused the result.
9. Start this week: one program, one question, one owner
You do not need to begin with an organization-wide website overhaul.
Choose one important service. Write down a question someone in your community would ask about it. Then read the public page as if you knew nothing about your organization.
Can you tell:
- What assistance is provided?
- Who and where it serves?
- What the organization’s role is?
- What requirements or limitations apply?
- What to do next?
- What evidence supports the explanation?
Find one missing, unclear, or incorrect answer. Assign someone to fix it this week.
Then identify who will keep that information current.
At BECK Digital, our focus is connecting organizational expertise to clear digital information and practical systems for maintaining it. The goal is not more pages or a promise to control AI answers. It is a dependable public account of who you are, how you help, and what someone should do next.
For NADO conference attendees, that is the starting point worth taking home: one useful question, one accurate answer, and one accountable person.