Lesson 11. Prompts for support and SEO
If you're looking for how to write an SEO prompt or how to build a support prompt for a real customer question, this lesson puts both directions into a working format. Support and SEO look like different worlds, but both are solved by precision, understanding user intent, and clear structure.
Topic breakdown
In support, it's important to correctly understand the user's question, respond with empathy, and show a clear next step. An answer that's too long or too formal only gets in the way.
In SEO, the keys become search intent, page type, topic, and structure. If you don't set these in advance, the model almost always produces a generic outline and weak meta texts.
This lesson is useful because you learn to look at support and SEO separately while seeing how in both cases a prompt builds a manageable and work-ready system.
What you'll learn
- standardize FAQ and support responses
- generate SEO outlines and meta descriptions
- combine support and SEO around one topic
- manage empathy, next steps, intent, and structure
Lesson plan
Support prompt structure
A good support response usually consists of empathy, explanation, and a concrete next step.
The main signal in SEO prompts
Without search intent and page type, AI almost always gives too-generic and weak SEO output.
One topic — two goals
The same question can be used for helping a customer and for search content, but the goals of these prompts must be kept separate.
Caution with facts
For prices, laws, timelines, conditions, and technical specs, AI is better used as a draft tool, with final verification done manually.
Weak vs strong prompt
Answer the customer and make SEO text.
Question: 'When will my order arrive?'. First write a 3-part support response: empathetic start, brief explanation, concrete next step. Then for the topic 'delivery time', determine informational search intent, build a 5-block SEO outline, and write a meta description under 155 characters.
The strong prompt separates support and SEO into two tasks with different goals. So the result doesn't blend and each part comes out more useful.
Ready prompt template
Copy and adaptFirst write a support response to the user's question in 3 parts: 1) short empathetic answer, 2) clear explanation, 3) next step. Then for the same topic, determine search intent, build an SEO outline of 5 blocks, and create a meta description under 155 characters. Do not add unverified facts.
Why it works
User intent and search intent aren't equal: support solves a specific user problem, SEO answers a search query.
For support, key signals are empathy, brevity, and a clear next step.
For SEO, it's important to set intent, topic, and page type in advance — otherwise the model produces too-generic output.
When dealing with facts, figures, and promises, AI is safer to use as a tool for structure and draft, not as the final source of truth.
Practice
- Write down 3 common customer questions or FAQ items.
- For each, build a 3-part support prompt.
- For one question, add search intent, SEO outline, and meta description.
- Determine where it's better to separate support and SEO, and where they can be linked.
Mini-project
Mini-project: FAQ answer and SEO page
Take one common question and prepare both a support response and SEO structure for it, so one topic works for two business goals.
Tasks
- Choose one common question.
- Build a 3-part support prompt.
- Add search intent and SEO outline.
- Check the meta description and CTA.
Deliverables
- 1 support response
- 1 SEO outline
- 1 meta description and brief review
Checklist
Common mistakes
- generating SEO text without fact-checking
- not specifying the next step in a support response
- writing dry or cold support text
- not specifying search intent and page type in SEO prompts
Lesson FAQ
Can support and SEO be combined in one prompt?
Yes, but only if you explicitly separate the blocks and goals. Otherwise the support response and SEO outline start interfering with each other.
Can meta descriptions be fully entrusted to AI?
As a draft — yes. But the final version is better checked manually: for brand, facts, and text length.