Practical strategies to prepare knowledge

Last updated
Save as PDF

You do not need to rewrite your entire knowledge base for AI. The greatest impact comes from small, intentional improvements to high‑value content. By focusing on structure, clarity, recency, and consistency, your content becomes easier for humans and AI systems to interpret. This helps improve deflection, accuracy, and the overall support experience.

Practical GEO preparation does not require large-scale rewrites, but requires focus on:

The top 20 percent of high-impact content
Machine-friendly structure
Clear, atomic writing
Frequent and lightweight updates
A consistent content workflow
Avoiding reactive decisions based solely on traffic

By following these practices, your knowledge team creates durable, AI-ready content that improves both automated experiences and agent performance.

Focus on the top 20 percent

Across knowledge practices, usage data consistently shows that a small portion of articles drive most outcomes. This aligns with our guidance, which recommends applying the 20/80 rule to prioritize the content that solves the majority of user problems.

These high‑value articles are also the ones AI engines rely on most. They serve as cornerstone topics that form the basis of AI‑generated responses in systems like GenSearch, NiCE Autopilot, Nice Copilot, and other enterprise AI tools.

Prioritize for:

Structure cleanup
Clarity improvements
Removal of outdated instructions
Terminology alignment across the knowledge base
Consistent formatting and labeling
Versioning updates

Write for machines and humans

Generative AI relies on structure and clarity. NiCE KM’s Guided Content Framework encourages predictable, well-organized pages because these types of content enhance findability and improve AI comprehension.

AI-friendly content includes:

Short paragraphs with clear purpose
Descriptive and hierarchical headings
Single-purpose sections
Bulleted or numbered steps
Minimal stylistic complexity such as colored fonts, oversized tables, or nested formatting
Consistent terminology across related pages

Improve accuracy and recency

AI engines give more weight to content that is current, consistent, and easy to verify. Outdated content increases hallucination risk and impacts automated and human-assisted support. NiCE KM best practices emphasize continuous content improvement and structured update workflows.

AI responds best to:

Recently updated pages
Clear versioning or release notes
Articles that avoid contradicting earlier instructions
Cleanly separated steps and expected outcomes
Updated terminology that reflects current product naming

Even a small improvement, such as rewriting a confusing paragraph or clarifying a troubleshooting step, can increase GEO performance more effectively than a full content overhaul.

Use a structured content workflow

To prepare content for AI, a structured workflow is essential. NiCE Knowledge Management offers built-in authoring, review, and publishing processes that assist knowledge teams in maintaining clarity and consistency. This approach ensures content health and guarantees AI tools always access accurate, high-quality information.

Recommendations include:

Draft > Review > Approve > Publish
Perform technical and editorial reviews as needed
Check sensitive information for legal and compliance alignment as needed
Gather post‑publication feedback and implement improvement cycles

Avoid reactive overhauls

Traffic decline is a global phenomenon, driven by generative search. Lower page views do not mean your content is less valuable. They only reflect where the content is being consumed.

Do not:

Rewrite articles just because page views dropped
Change formatting only for style
Expand articles with unnecessary text

Focus on:

Accuracy
Clarity
Structure
Alignment with current terminology
Maintenance of highest-value content

Generative systems do not reward volume. They reward clarity and consistency.

Create an evaluation and improvement cycle

A sustainable knowledge practice requires continuous refinement. The NiCE Knowledge Management guidelines recommend regular audits, content health reviews, and data-driven prioritization to ensure your content stays current and supports AI and human audiences.

Include steps such as:

Review top queries and usage patterns
Monitor gaps where content is missing
Use analytics to evaluate top and low-performing articles
Align improvements with KPIs such as deflection, CSAT, and resolution quality