kwrds.ai Is Now a Multi-Engine AI Keyword Research Tool
- Author: kwrds.ai Team
- Published On: January 22, 2026
Keyword research no longer starts — or ends — with Google.
Users now search through ChatGPT, Perplexity, YouTube, Reddit, Amazon, and even image and news search engines. Each platform has its own intent, language patterns, and ranking logic.
That's why we're excited to announce a major update to kwrds.ai.
We've expanded from Google-only keyword research to 13 different search engines and discovery platforms, making kwrds.ai one of the most complete AI keyword research tools available today.
Watch kwrds.ai Multi-Engine Keyword Research Demo
See how the kwrds.ai Multi-Engine Keyword Research can be used to automate your SEO workflow.
🚀 What's New in kwrds.ai
You can now run keyword research for:
- ChatGPT
- Perplexity
- YouTube
- Bing
- Amazon
- eBay
- Yahoo
- Baidu
- Yandex
- Google Shopping
- Google News
- Google Images
Before this update, kwrds.ai only supported Google Search. Each vendor now has its own dedicated keyword discovery engine.
This matters because keywords are contextual. The same query means different things depending on where users search.
Why Multi-Engine Keyword Research Matters (SEO, GEO & AEO)
Traditional SEO assumes:
One keyword → One intent → Google SERP
That model no longer holds.
Today we have:
- SEO → Search Engine Optimization (Google, Bing)
- GEO → Generative Engine Optimization (ChatGPT, Perplexity)
- AEO → Answer Engine Optimization (ChatGPT, Perplexity)
Each engine:
- Surfaces different results
- Reflects different user intent
- Requires different optimization strategies
Using Google keywords to optimize:
- An Amazon product title
- A YouTube video
- Or ChatGPT-focused content
…simply doesn't work.
kwrds.ai solves this by letting you research keywords directly at the source.
How kwrds.ai Works
For every supported vendor, we built a dedicated algorithm that:
- Uses real autocomplete and suggestion data
- Expands results based on your focus keyword
- Extracts the most popular user-generated search terms
- Enriches each keyword with:
- Search volume
- Trend data
- CPC
- Search intent
- Competition
📡 All data is fetched in real time.
Every search pulls fresh results — no caching, no reused datasets.
Example: ChatGPT Keyword Research
When you select ChatGPT as the vendor and enter a seed keyword like:
"how to"
kwrds.ai analyzes how users phrase questions inside ChatGPT and returns the most popular queries.
Example results include:
- how to train your dragon
- how to draw
- how to tie a tie
- how to download youtube videos
Each keyword includes volume, trend, CPC, intent, and competition.
This data reflects how users interact with LLMs, not Google search behavior.
Step-by-Step: Keyword Research in kwrds.ai
Step 1: Choose a Search Engine
Select the platform you want to optimize for:
- ChatGPT → AI answers
- Amazon → Product listings
- YouTube → Video titles
- Reddit → Community discussions
Step 2: Enter a Focus Keyword
Examples:
- how to
- best
- vs
- buy
- review
Step 3: Select Region & Language
Useful for international SEO and marketplaces.
Step 4: Analyze the Results
Sort and filter by:
- Volume
- Trend
- Intent
- Competition
Step 5: Export & Apply
Export keywords to CSV and use them for:
- Content planning
- Product titles
- Video scripts
- AI-optimized articles
Why We Built This
We added these vendors to make kwrds.ai the most complete keyword research tool available.
As search fragments across:
- AI assistants
- Marketplaces
- Communities
- Visual platforms
Keyword research must evolve.
With the rise of GEO and AEO, Google-only tools are no longer enough.
Try the New Multi-Engine Keyword Research
If you want to:
- Optimize for AI answers
- Create better Amazon listings
- Discover real user questions
- Stay ahead of search evolution
kwrds.ai is built for that future.
👉 Start researching keywords where your users actually search.
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