If you’re still doing keyword research by juggling five tools and twenty tabs, you’re burning time. In 2025, the fastest way to go from idea → ranked content is a tight AI-assisted workflow. This guide shows you, step by step, how to use Perplexity AI + ChatGPT to build a structured keyword list (main, long‑tail, NLP/conversational queries, FAQs, and semantic terms) you can drop straight into your content plan.
By the end, you’ll have a clean Google Sheet (or CSV) with every term organized, plus prompts you can reuse for any niche.
Step 1: Set Up Requirements
Before you begin, make sure you have:
- A Perplexity AI account (free is fine).
- ChatGPT access (GPT‑4/5 recommended for best structuring).
- A Google Sheet (or any CSV‑compatible spreadsheet).
Pro tip: Create one master Google Sheet with tabs per topic cluster. You’ll reuse the same structure every time.
Step 2: Use Prompts in Perplexity AI
We’ll start in Perplexity to collect raw keyword intelligence. Run these prompts in order. Replace placeholders where indicated.
Prompt 1 — Main Keywords
Use this to surface the core, high‑intent terms around your topic.
Provide a comprehensive list of the top main keywords related to 'INSERT TOPIC'.
Include terms that are highly relevant and frequently searched by users interested in this topic.
Return as a bullet list.
Example topic: Dog Training → main keywords like “puppy training,” “clicker training,” “dog obedience,” etc.
Example:
Search for “how to create a Content,” and you’ll often see a list-style snippet or video.
Prompt 2 — Long‑Tail Keywords
Now expand the first main keyword into specific phrases with clearer intent.
Now list detailed long-tail keywords related to the first keyword from the previous result.
These should be specific search phrases users might use when looking for information on this topic.
Return as a bullet list.
Example: “how to train a puppy to stop barking at night,” “best leash training tips for stubborn dogs,” etc.
Prompt 3 — NLP / Conversational Keywords
Pull the natural‑language queries people actually type or ask voice assistants.
Identify NLP-optimized keywords and conversational queries related to 'MAIN KEYWORD(S)'.
Focus on natural language expressions and semantic variations.
Return as a bullet list.
Example: “What are the best ways to train a dog?” “Is positive reinforcement better than punishment?”
Prompt 4 — FAQs
Collect ready‑to‑use questions for blog sections, FAQ schema, and support content
What are the most frequently asked questions about 'INSERT KEYWORDS'?
Provide a list of the most common questions users ask.
Return as a bullet list.
Example: “What age should you start training a puppy?” “How long does it take to train a dog?”
Prompt 5 — Semantic / Related Keywords
Add synonyms, related concepts, and context terms for topical depth.
Provide semantic keywords and related terms for 'MAIN KEYWORD'.
Include synonyms, related concepts, and contextually relevant phrases that enhance topical coverage.
Return as a bullet list.
Example: “obedience training,” “positive reinforcement,” “reward‑based training,” “crate training,” etc.
Pro tip: If Perplexity references sources, keep them. They’re gold for outbound links and credibility.
Step 3: Organize Data with ChatGPT
Paste everything you pulled from Perplexity into ChatGPT and run this structuring prompt. It preserves all terms even when volume/CPC is missing, so you don’t lose long‑tail gems.
Prompt for ChatGPT (copy‑paste):
Please organize the following keyword research into a detailed and well-structured CSV table.
Include columns: Keyword, Category (main/long-tail/FAQ/NLP/semantic), Search Volume, CPC, Competition.
Preserve every item exactly as provided, even if some fields are missing.
Do not omit conversational or long-tail queries without volume data.
Return only the CSV table ready for Google Sheets.
Pro tip: If you already have volume/CPC from another tool (SEMrush, etc.), paste it alongside and ask ChatGPT to merge and deduplicate.
Step 4: Export and Format Data
- Copy ChatGPT’s CSV output.
- Paste into a CSV file or directly into Google Sheets (File → Import → Paste).
- Ensure you have these columns:
- Keyword
- Category (main, long‑tail, FAQ, NLP, semantic)
- Search Volume
- Cost Per Click (CPC)
- Competition Level
Nice‑to‑have columns: Intent (Informational/Commercial/Navigational), Priority (High/Medium/Low), Target URL (once mapped), Status (Planned/WIP/Published).
Step 5: Refine and Expand with Clusters
Build out clusters by repeating Prompts 2–5 for each secondary focus keyword from your main list.
How to cluster quickly in Sheets
- Add a Cluster column and assign a parent topic (e.g., Dog Training → Puppy Barking).
- Use a Pivot table to see keywords per cluster and total potential volume.
- Deduplicate with =UNIQUE() and track overlaps with =COUNTIF().
Pro tip: Keep one Pillar per cluster (broad guide) and 5–10 Spokes (specific long‑tails/FAQs). Internal‑link spokes → pillar; pillar → spokes.
Step 6: Start Crafting Content
With your finalized list:
- Blog posts & pillars: Use main + semantic terms in H1/H2s, cover FAQs inline, and add jump links.
- Landing pages: Use commercial‑intent long‑tails, add comparison tables and CTAs.
- FAQ hubs & schema: Convert your FAQ list into an FAQ section and add FAQ schema.
- NLP queries: Turn voice‑style questions into subheads with crisp, 40–60‑word answers for snippets/AI overviews.
On‑page essentials
- Put the primary keyword in Title, H1, URL, first 100 words, and 1–2 H2s.
- Use semantic terms naturally across sections.
Add internal links to pillar/spoke pages with descriptive anchors.
Tips for Success
- Prioritize long‑tails + NLP: Easier to rank, higher intent, better conversions.
- Use People Also Ask: Paste PAA questions into your FAQ list for extra coverage.
- Don’t chase volume blindly: Relevance + intent > raw numbers.
- Track performance: Map each keyword to a URL and monitor in GSC/GA4.
- Refresh quarterly: Rerun the workflow to catch new queries and trends.
Copy‑Paste Prompt Pack (All in One)
Use this once in Perplexity; it will guide the full extraction:
You are my keyword research assistant.
Topic: 'INSERT TOPIC'
1) Provide a comprehensive list of the top MAIN KEYWORDS highly relevant to this topic.
2) For the first main keyword, list detailed LONG-TAIL KEYWORDS (specific, high-intent phrases).
3) Identify NLP/CONVERSATIONAL QUERIES people naturally ask about this topic.
4) List the most common FAQs for these keywords.
5) Provide SEMANTICALLY RELATED TERMS (synonyms, related concepts, context terms).
Return each section as a separate, clearly labeled bullet list.
Then move to ChatGPT with the structuring prompt from Step 3.
Quality Checklist (Pre‑Publish)
- Each cluster has one pillar and multiple spokes
- FAQs are integrated and marked up with FAQ schema
- Internal links connect spokes ↔ pillar
- Titles/H1s naturally include the primary keyword
- First 100 words answer search intent directly
- Meta title/description written for clicks (benefit-driven)
Conclusion
Keyword research with Perplexity AI and ChatGPT isn’t a hack—it’s a repeatable, scalable system. Use Perplexity to discover (main, long‑tail, NLP, FAQs, semantic), then use ChatGPT to organize it into a clean, upload‑ready sheet. From there, it’s execution: map clusters, write for intent, and interlink like a pro.
Next Step: Try this on one topic today. Build one pillar and three spokes using this exact workflow—then measure results in 14–30 days.
Mayank Ranjan
Mayank Ranjan is a digital marketing strategist and content creator with a strong passion for writing and simplifying complex ideas. With 7+ years of experience, he blends AI-powered tools with smart content marketing strategies to help brands grow faster and smarter.
Known for turning ideas into actionable frameworks, Mayank writes about AI in marketing, content systems, and personal branding on his blog, ranjanmayank.in, where he empowers professionals and creators to build meaningful digital presence through words that work.
