Keyword Keg vs QuestionDB in 2026: Bulk multi-API discovery versus a $9.99 question-mining companion
Keyword Keg processes up to 500,000 keywords across 11 autosuggest APIs but is mid-migration to Keywords Everywhere. QuestionDB mines Reddit, Quora, and PAA data for real audience questions starting at $9.99 a month.
Keyword Keg
QuestionDB- Keyword Keg pulls from 11 autosuggest APIs in one search; QuestionDB pulls from four question sources: Reddit, Quora, Google PAA, and People Also Search.
- QuestionDB's Solo plan is $9.99 a month with 100 searches, while Keyword Keg's pricing page is currently offline as the product migrates to Keywords Everywhere.
- Keyword Keg supports bulk upload of up to 500,000 keywords per file. QuestionDB has no bulk upload feature at all.
- QuestionDB includes an AI Outline Generator that turns a chosen question into a structured content brief, a feature Keyword Keg does not offer.
- Neither tool has an API. Keyword Keg has none by design choice; QuestionDB has none at any plan tier.
- QuestionDB offers a free tier with 5 searches a month to test data quality before paying. Keyword Keg currently has no accessible free or paid signup path for new users.
Keyword Keg and QuestionDB are not really competing for the same job. Keyword Keg is built for breadth and scale: 11 autosuggest APIs feeding a single search, plus a bulk upload tool that can enrich 500,000 keywords at once. QuestionDB is built for depth on one specific angle, mining Reddit threads, Quora answers, and Google's People Also Ask and People Also Search boxes to surface the actual questions an audience is asking. One is a volume-and-breadth research suite in the middle of a migration to Keywords Everywhere; the other is a cheap, focused tool that content teams use alongside a primary keyword platform, not instead of one. The right comparison here is less "which is better" and more "which job are you trying to do this week."
The tools at a glance
Keyword Keg
A five-tool keyword research suite built on 11 autosuggest APIs, now being migrated into the Keywords Everywhere ecosystem
Keyword Keg's core strength is source breadth: a single search pulls suggestions from Google, YouTube, Bing, Yahoo, Yandex, Amazon, eBay, Alibaba, Wikipedia, Ask.com, and Google Play simultaneously. Automatic intent tagging sorts the output into Buyer Intent, Product Info, Questions, Alphabetical, and Prepositions, so commercial and informational queries are separated without manual review.
The bulk import tool is the feature that sets it apart from most competitors, including QuestionDB. Uploading a CSV or Excel file with up to 500,000 keywords and getting volume, CPC, competition, and trend data appended in one pass is a scale that question-mining tools were never built to handle.
The complication is timing. Keyword Keg is being folded into Keywords Everywhere, its pricing page is no longer live, and new signups are redirected elsewhere. That makes it a strong tool for people who already have access and a difficult one to recommend to someone starting from scratch this year.
| Feature | Migration to Keywords Everywhere See keywordseverywhere.com |
|---|---|
| Autosuggest sources | 11 APIs |
| Bulk keyword upload | Up to 500,000 rows |
| Intent categorization | Yes |
| White-label export | Yes |
| Standalone pricing page active | No |
QuestionDB
Find low-competition keywords by mining questions from Reddit, Quora, SERP PAA, and People Also Search
QuestionDB starts from a different premise than most keyword tools: instead of expanding a seed keyword into variations, it mines Reddit threads, Quora answers, and Google's question-shaped SERP features to find what an audience is genuinely asking. That question-first approach surfaces sub-topics that volume-driven tools tend to miss entirely.
Paid plans add search volume, keyword difficulty, and CPC data on top of the question database, and the AI Outline Generator turns a selected question into a structured article outline. For content teams, that shortens the gap between "found a topic" and "have a brief to write from."
It is a narrow tool by design. There is no API, no bulk upload, and data depth thins out on highly competitive topics. At $9.99 a month for the Solo plan, it is priced as a companion to a heavier keyword platform, not a replacement for one, and the free tier's 5 searches a month is enough only to sanity-check the data before committing.
| Feature | Free Free | Solo $9.99/mo | Business $29.99/mo | Enterprise $69.99/mo |
|---|---|---|---|---|
| Searches per month | 5 | 100 | 400 | 1,000 |
| Search volume & difficulty | ✗ | ✓ | ✓ | ✓ |
| AI Outline Generator | ✗ | ✓ | ✓ | ✓ |
| CSV & image export | ✗ | ✓ | ✓ | ✓ |
| API access | ✗ | ✗ | ✗ | ✗ |
Head-to-head feature comparison
| Feature | Keyword Keg | QuestionDB |
|---|---|---|
| Data sources | 11 autosuggest APIs (search engines, marketplaces, reference sites) | 4 question sources (Reddit, Quora, Google PAA, People Also Search) |
| Search volume & CPC data | Yes (volume, CPC, competition, trend, value score) | Yes, on paid plans (Solo and up) |
| Bulk keyword upload | Yes, up to 500,000 keywords per file | No |
| Question / intent focus | Intent categories: Buyer Intent, Product Info, Questions, Alphabetical, Prepositions | Question-first: every result is a real audience question |
| AI content brief generation | No | Yes (AI Outline Generator) |
| API access | No | No |
| White-label export | Yes (CSV, Excel, PDF) | No |
| Free tier | No | Yes (5 searches/month) |
| Standalone pricing page active | No, redirects to Keywords Everywhere | Yes |
| Starting price | Unpublished (in migration) | $9.99/mo (Solo) |
Which should you choose?
QuestionDBQuestionDBKeyword KegKeyword KegQuestionDBKeyword KegThese two are complements more than rivals. Keyword Keg's value is in scale: broad source coverage and bulk enrichment for people who already have keyword lists to process. QuestionDB's value is depth on a single, specific signal: what real people are asking in forums and SERPs, turned directly into content briefs. A content team could reasonably run both, using Keyword Keg for volume-driven discovery and QuestionDB for topic and angle ideas that a database-driven tool would never surface.
Bottom line
If your job is finding article topics and understanding what your audience is actually asking, QuestionDB at $9.99 a month is close to free and the AI Outline Generator gets you to a brief faster than manually reading Reddit threads. If your job is processing large keyword lists at scale or exporting white-label reports for clients, Keyword Keg still does that better than QuestionDB ever attempted to, but be aware you are working with a product mid-migration rather than a stable long-term platform.
Frequently asked questions
Can QuestionDB replace Keyword Keg for keyword research?
Not fully. QuestionDB is built specifically for question-based, audience-intent research pulled from Reddit, Quora, and SERP features, while Keyword Keg is built for broad-source keyword expansion and bulk enrichment across 11 autosuggest APIs. Teams that need both jobs done typically run a question-mining tool like QuestionDB alongside a database or autosuggest tool rather than picking one.
Is QuestionDB worth it for a small content team on a tight budget?
Yes, at $9.99 a month for 100 searches, QuestionDB is one of the cheapest tools in this category, and the free tier with 5 searches lets you check data quality for your niche before paying anything. It is a low-risk add-on rather than a major line-item decision.
Does Keyword Keg still work for bulk keyword uploads in 2026?
Existing Keyword Keg accounts can still use the 500,000-row bulk upload tool, since the platform continues to support current customers during its migration to Keywords Everywhere. New users, however, cannot sign up through Keyword Keg's own pricing page, which is no longer active.
What does QuestionDB's AI Outline Generator actually produce?
It takes a chosen topic or question and generates a structured article outline with suggested headings and supporting points, functioning as a starting point for a content brief rather than a finished one. It is available on the Solo plan and up, not on the free tier.
Which tool has better data for e-commerce keyword research?
Keyword Keg, because it pulls suggestions directly from Amazon, eBay, and Alibaba autosuggest alongside Google, giving it marketplace-specific coverage that QuestionDB does not attempt. QuestionDB's sources are Reddit, Quora, and Google SERP features, none of which are marketplace-native.
Does either tool offer an API for automated workflows?
No, neither Keyword Keg nor QuestionDB offers API access at any plan tier. Both are browser-based, manual-workflow tools, which is a meaningful gap for teams that want to pipe keyword or question data into other systems automatically.