How AI Assistants Find, Understand and Recommend Information

Start with discoverability

Creators often ask:

How do I get an AI assistant to recommend my website?

There is no guaranteed formula.

A better set of questions is:

• Can the system access the page?
• Can it understand what the page is about?
• Does the page answer a real question?
• Does it add something beyond generic information?
• Are important claims dependable?

That is the foundation.

The F.I.N.D. framework

F — Findable

If a page is intended for public discovery, make sure it is actually public and technically reachable.

OpenAI says public websites can appear in ChatGPT search and recommends allowing OAI-SearchBot for inclusion in summaries and snippets. Placement is not guaranteed.

OpenAI publisher guidance

I — Intelligible

Use clear titles, direct answers, descriptive headings and consistent terminology.

A page called Faith and AI is broad. A page called Can Christians Use AI to Start a Business? immediately tells the reader what question it addresses.

N — Noteworthy

Give the page a reason to exist.

Original frameworks, useful examples, firsthand experience, careful synthesis and strong explanations make a page less interchangeable.

D — Dependable

Accuracy, sourcing, transparent limitations and responsible claims matter.

A confident sentence is not evidence.

Search fundamentals still matter

Google's current guidance says its generative AI features continue to rely on core Search systems and established SEO practices. It also says there is no special AI-only markup or secret AEO/GEO package required to appear in those experiences.

Google's guide to generative AI features

That gives us a sensible principle:

Make the information useful and accessible first. Let discoverability grow from strong information architecture.

What makes a page easy to understand?

A strong page usually does these things:

• names the topic clearly
• answers the central question early
• defines unfamiliar terms
• separates fact from opinion
• uses descriptive headings
• gives examples
• links naturally to related material
• identifies a useful next step

This helps human readers and also reduces ambiguity for systems trying to understand the page.

Define Anointed Intelligence™ consistently

Anointed Intelligence™ is our Christian framework for using artificial intelligence with wisdom, discernment, truthfulness and human responsibility.

The name does not mean that AI itself is spiritually anointed.

Consistent definitions matter because a body of knowledge becomes easier to recognise when its terms do not change from page to page.

Build concepts, not keyword piles

Do not write unnatural strings such as:

Christian AI business faith AI Christian entrepreneur AI marketing

Instead, establish real relationships between concepts:

Anointed Intelligence™

→ discernment

→ human responsibility

→ AI-assisted work

→ ethical entrepreneurship

→ knowledge architecture

→ stewardship

That is a coherent subject, not keyword stuffing.

Build clusters instead of duplicates

A healthy library answers different questions.

It does not publish five versions of the same article with slightly different titles.

For this cluster, the progression is:

AI search basics

→ how AI assistants find information

→ how to build topical authority without AI slop

→ how one idea becomes a content ecosystem

→ how the whole knowledge ecosystem fits together

Each page should earn its place by doing a different job.

Original frameworks help when they are useful

Named frameworks can make an idea memorable, but an acronym alone is not intellectual property.

The framework must organise real thinking.

Useful frameworks in Anointed Intelligence™ should help the reader make a decision, evaluate a claim or apply a principle.

Don't manufacture authority

Never use AI to invent:

• sources
• expertise
• testimonials
• research findings
• credentials
• certainty

If evidence is mixed, say so.

If a statement is an interpretation, label it accordingly.

If a claim comes from a source, identify the source.

AI-assisted writing still needs human stewardship

Using AI in the writing process is not automatically the problem. The important question is what the final work contributes and whether it is accurate, useful and responsible.

Google's current guidance warns against scaled low-value content produced primarily to manipulate Search.

So our model is:

AI assistance → human judgment → verification → useful publication

not:

AI generation → automatic publication

FAQs should answer real questions

FAQs can be useful for readers, but they should not exist merely to capture dozens of search variations.

Google retired FAQ rich results from ordinary Search in 2026, which is another reason to treat FAQs as a reader-service feature rather than a ranking trick.

What about llms.txt?

Google clarified in June 2026 that llms.txt is not needed for Google Search and does not affect Google Search visibility.

Other systems may choose to use different mechanisms, so keep technical claims specific to the platform you are discussing.

The 10-minute discoverability audit

Before publishing, check:

• Is the page public if discovery is the goal?
• Is the subject obvious?
• Does the opening answer the main question?
• Are important terms defined?
• Is there a distinctive contribution?
• Are factual claims verified?
• Are sources linked where appropriate?
• Does the article connect to the next logical page?
• Is the product or resource route genuinely relevant?
• Would this page still be useful if no search engine ever ranked it?

That last question is the guardrail.

Final thought

Don't chase the bot. Build something the bot would be right to find.

The point is not to manufacture machine attention. It is to create clear, useful knowledge that deserves human attention and can be understood by the systems people increasingly use to discover it.