AI Search

Prompt Engineering

The practice of crafting and optimizing text inputs (prompts) to effectively communicate with AI language models and achieve desired outputs.

Quick Answer

  • What it is: The practice of crafting and optimizing text inputs (prompts) to effectively communicate with AI language models and achieve desired outputs.
  • Why it matters: Helps you understand how AI systems discover, interpret, and surface your content.
  • How to check or improve: Review AI crawler access, cite-worthy structure, and prompt visibility signals.

When you'd use this

Helps you understand how AI systems discover, interpret, and surface your content.

Example scenario

Hypothetical scenario (not a real company)

A team might use Prompt Engineering when Review AI crawler access, cite-worthy structure, and prompt visibility signals.

Common mistakes

  • Confusing Prompt Engineering with AI Answer Engine: A search system that uses artificial intelligence to directly answer user queries with synthesized responses rather than returning a list of links to external websites.
  • Confusing Prompt Engineering with Generative Engine Optimization (GEO): The practice of optimizing digital content to improve visibility in AI-generated search results from platforms like ChatGPT, Perplexity, Claude, and Google AI Overviews.

How to measure or implement

  • Review AI crawler access, cite-worthy structure, and prompt visibility signals

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Updated Jan 1, 2025·3 min read

What is Prompt Engineering?

Prompt engineering is the skill of writing effective instructions for AI systems. A well-crafted prompt can dramatically improve the quality, accuracy, and relevance of AI outputs.

Why It Matters for GEO

Understanding prompt engineering helps with GEO in two ways:

  1. Content optimization - Knowing how prompts work helps you create content that AI systems can effectively use
  2. Testing visibility - Crafting test prompts helps you assess your LLM visibility

Key Prompt Engineering Principles

Be specific: "List the best CRM tools for small businesses" outperforms "Tell me about CRMs"

Provide context: Background information improves response quality

Specify format: Request bullet points, tables, or specific structures

Iterate: Refine prompts based on outputs

Prompt Engineering for GEO Testing

When testing your content's AI visibility:

  1. Craft prompts your target audience would use
  2. Vary phrasing to test different scenarios
  3. Track which prompts return citations to your content
  4. Optimize content based on findings

Why this matters

Prompt Engineering influences how search engines and users interpret your pages. When prompt engineering is handled consistently, it reduces ambiguity and improves performance over time.

Common mistakes

  • Applying prompt engineering inconsistently across templates
  • Ignoring how prompt engineering interacts with canonical or index rules
  • Failing to validate prompt engineering after releases
  • Over-optimizing prompt engineering without checking intent
  • Leaving outdated prompt engineering rules in production

How to check or improve Prompt Engineering (quick checklist)

  1. Review your current prompt engineering implementation on key templates.
  2. Validate prompt engineering using Search Console and a crawl.
  3. Document standards for prompt engineering to keep changes consistent.
  4. Monitor performance and update prompt engineering as intent shifts.

Examples

Example 1: A site standardizes prompt engineering and sees more stable indexing. Example 2: A team audits prompt engineering and resolves hidden conflicts.

FAQs

What is Prompt Engineering?

Prompt Engineering is a core concept that affects how pages are evaluated.

Why does Prompt Engineering matter?

Because it shapes visibility, relevance, and user expectations.

How do I improve prompt engineering?

Use the checklist and verify changes across templates.

How often should I review prompt engineering?

After major releases and at least quarterly for critical pages.

  • Guide: /resources/guides/optimizing-for-chatgpt
  • Template: /templates/definitive-guide
  • Use case: /use-cases/saas-companies
  • Glossary:
    • /glossary/ai-answer-engine
    • /glossary/generative-engine-optimization

Prompt Engineering improvements compound when teams document standards and validate changes consistently.

Prompt Engineering improvements compound when teams document standards and validate changes consistently.

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