Content Optimization (Phase 2)

Goal: Know exactly what the content needs to include before writing a single word.

Data Pulled from NeuronWriter

Data	How It's Used
Terms per section (title, H1, H2, content_basic)	Feed into the AI prompt as reference terms to consider naturally
Term usage ranges (e.g. traction: 6-21x)	Use as directional optimization guidance, not rigid repetition targets
PAA questions	Structure as FAQ section
Content questions	Expand into subheadings
Entities	Ensure authoritative sources are cited
Word count target	Set the target word count for generation
Content type breakdown	Confirm the right content format for the SERP
Intent breakdown	Validate SpyFu's intent classification
Competitor content scores	Benchmark quality target

The Combined Prompt

prompt = f"""
Write a {word_count}-word {content_type} about "{keyword}".
Use a {tone} tone with a {hook_angle} angle.

STRUCTURE:
- H1 title (include target terms)
- 4–6 H2 subheadings
- FAQ section answering these questions:
  {paa_questions}
- Conclusion with {cta}

REFERENCE TERMS — use only where they fit naturally:
{neuron_terms_with_ranges}

Target: {target_words} words
"""

important

NeuronWriter terms are reference guidance only. The final article must prioritize search intent, clarity, information gain, and natural writing over rigid term matching.

Using NeuronWriter Effectively

1. Run SpyFu scoring first — only use NeuronWriter for confirmed P1–P2 or strategically important P3 keywords
2. Poll /get-query every 5–10s until status == 'ready' (~60s processing time)
3. Extract terms_txt.content_basic as space-separated reference terms
4. Extract ideas.people_also_ask for FAQ section structure
5. Use metrics.word_count.target as the generation word count goal
6. Check serp_summary.top_intent to validate your intent assumption