Keyword Keg Review
A five-tool keyword research suite built on 11 autosuggest APIs, now being migrated into the Keywords Everywhere ecosystem
Keyword Keg was a genuinely useful keyword research suite built around 11 autosuggest APIs and bulk upload capabilities that most competitors lacked. However, it is actively being folded into Keywords Everywhere, and new sign-ups are being redirected to that platform. If you are evaluating keyword research tools today, the smarter path is going directly to Keywords Everywhere rather than building workflows around a product mid-migration.
Pros and cons
- Pulls keyword suggestions from 11 autosuggest APIs including Google, YouTube, Amazon, eBay, and Wikipedia
- Bulk upload up to 500,000 keywords at once via CSV or Excel to get metrics appended in one pass
- Automatic intent categorization into Buyer Intent, Product Info, Questions, Alphabetical, and Prepositions
- White-label CSV, Excel, and PDF export available for agency reporting
- Up to 30 seed keywords searched simultaneously, generating thousands of results in one run
- Actively being migrated into Keywords Everywhere, making it a platform in transition rather than a stable product
- Pricing page is no longer accessible, adding uncertainty around cost and plan availability
- No standalone API or integrations with third-party tools for automated workflows
What is Keyword Keg?
Keyword Keg is a five-tool keyword research suite developed by the same team behind Keywords Everywhere. Its primary differentiation has always been breadth: the platform pulls keyword suggestions from 11 autosuggest APIs simultaneously, covering search engines (Google, YouTube, Bing, Yahoo, Yandex), e-commerce platforms (Amazon, eBay, Alibaba), informational sites (Wikipedia, Ask.com), and app stores (Google Play). This gives it one of the widest source sets in the keyword research category.
The five tools cover distinct stages of the research workflow. The Find Keywords tool handles seed keyword expansion across all 11 APIs. The Import Keywords tool lets you upload existing keyword lists of up to 500,000 rows via CSV or Excel and get metrics appended directly to your file. The Related Keywords tool scrapes Google's related searches section. The People Also Ask For tool pulls PASF data from SERPs. The Merge Words tool combines multiple keyword components to generate permutations. Together they cover keyword discovery, enrichment, and bulk processing in ways that many point solutions do not.
As of mid-2026, Keyword Keg is undergoing a full migration into Keywords Everywhere. The pricing page is no longer active and new users are being directed to Keywords Everywhere instead. The core capabilities, particularly the 11-API approach and bulk upload, informed how Keywords Everywhere developed its own feature set. Existing Keyword Keg users can expect continued support during the transition, but the platform is not taking on new standalone customers in the traditional sense.
Core features
Find Keywords Tool with 11 Autosuggest APIs
Enter up to 30 seed keywords at once and pull suggestions from Google, YouTube, Bing, Yahoo, Yandex, Amazon, eBay, Alibaba, Wikipedia, Ask.com, and Google Play Store simultaneously. Each result comes with volume, CPC, competition, trend, and a value score combining volume and CPC into a monetization signal.
Bulk Import and Metrics Appending
Upload CSV or Excel files containing up to 500,000 keywords and download the same file back with volume, CPC, competition, and trend data appended to each row. This is one of the largest bulk processing capacities in the keyword research category, particularly useful for teams enriching keyword lists pulled from GSC, competitor audits, or client briefings.
Keyword Intent Categorization
Every keyword is automatically categorized by search intent: Buyer Intent (buy, discount, deal), Product Info (review, best, top), Questions, Alphabetical variations, and Prepositions. This allows immediate filtering by funnel stage rather than manually scanning keyword lists to identify commercial versus informational queries.
Related Keywords and PASF Scraping
The Related Keywords tool scrapes Google's related searches section at the bottom of search results pages and returns those keywords with full metrics. The PASF tool extracts People Also Ask For questions tied to a seed term. Both give direct signals from Google's own query association logic rather than estimated co-occurrence data.
White-Label Export
All keyword data and reports can be exported to CSV, Excel, or PDF with white-label branding options applied. For agencies building deliverables on top of keyword research output, this removes the need for post-export reformatting before presenting to clients.
Pricing
| Feature | Migration to Keywords Everywhere See keywordseverywhere.com |
|---|---|
| Bulk upload up to 500K keywords | ✓ |
| 11 autosuggest APIs | ✓ |
| Intent categorization | ✓ |
| White-label export | ✓ |
| Standalone pricing page active | ✗ |
Who it is for
SEO teams working with very large keyword lists, such as those exported from Google Search Console or pulled from technical audits, will appreciate the 500,000-row upload limit and the ability to get metrics appended directly to their file. This eliminates the copy-paste workflow required by most keyword tools that cap bulk lookups at a few thousand rows.
The combination of Amazon, eBay, and Alibaba suggest APIs alongside Google makes Keyword Keg a useful source for e-commerce keyword discovery. Commercial intent is built into the categorization layer, so filtering to buyer-intent product keywords across multiple marketplaces is faster than in tools that only cover Google.
White-label PDF and Excel export, intent classification, and multi-seed search make the platform suited to agencies building keyword research deliverables. The volume of results returned across 11 APIs, combined with the filtering tools, supports both discovery and final list curation within the same interface.
Verdict
Keyword Keg delivered genuine value through its multi-API breadth and bulk upload capabilities, particularly for agency keyword research workflows. The platform's migration into Keywords Everywhere is the main caveat for new users: you are evaluating a product in transition. If the features described here appeal to you, the smarter move is to evaluate Keywords Everywhere directly, as that is where future development is concentrated.
Frequently asked questions
Is Keyword Keg still available?
Keyword Keg is in active migration to Keywords Everywhere, developed by the same team. The pricing page is no longer accessible and new sign-ups are being redirected to Keywords Everywhere. Existing users are being supported during the transition.
What makes Keyword Keg different from other keyword research tools?
Its main differentiator is the 11 autosuggest API approach, pulling keyword suggestions from Google, YouTube, Amazon, eBay, Wikipedia, and several other platforms simultaneously. Most keyword tools focus on one or two sources. The 500,000-row bulk upload is also unusual in its scale.
Does Keyword Keg support white-label reporting?
Yes. CSV, Excel, and PDF exports include white-label options so agencies can present keyword research deliverables without Keyword Keg branding. This is available across the tool suite.
What is the relationship between Keyword Keg and Keywords Everywhere?
Both are products from the same development team. Keyword Keg was a standalone web app focused on keyword research at scale. Keywords Everywhere is a browser extension that adds keyword data directly to Google, YouTube, Amazon, and other platforms as you browse. The team is consolidating development around Keywords Everywhere.
How does Keyword Keg handle search intent?
Keywords are automatically tagged by intent category: Buyer Intent (purchase-signal phrases), Product Info (review and comparison phrases), Questions, Alphabetical expansions, and Prepositions. You can filter by intent category to quickly isolate keywords by funnel stage without manually reviewing hundreds of results.