SEO and marketing decision
Keyword Chef
A competent developer can reproduce the core keyword discovery and bulk SERP-analysis features in about a week and run it cheaply with a SERP API; the vendor’s proprietary data/heuristics and user trust are the main things you won’t get.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.
What a replacement has to do
- Search for seed terms, expand with wildcard/autocomplete, check volumes and first-page SERPs in bulk, filter by intent/volume/SERP score, save and share reports.
What it still won’t have
- Proprietary cleaned keyword database and historical volume accuracy
- Any undocumented backend tuning and proprietary SERP-scoring heuristics
- Built-in user trust, reviews, and curated niche insights
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Keyword Chef does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal self-hosted Keyword Chef clone using Node.js (Express) backend, React frontend, Postgres for storage, and SerpAPI (or similar) for SERP data. In scope: wildcard/autocomplete expansion, bulk SERP queries, a SERP-score heuristic, filters (volume, cluster, SERP score), save/shareable report records, CSV export, and basic auth. Out of scope: paid multi-tenant billing, advanced proprietary ranking models, and large-scale scraping infrastructure. Provide error handling, retries and rate-limit handling for the SERP API, unit tests for backend endpoints, and a basic E2E test for the search->report flow.
How we checked
How the score was reached
- Build verdict base78
- An open-source build was found+5
- 3 cited sources+3
- Evidence score86
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productKeyword Chef - Keywords for Publishers
- official pricingKeyword Chef - Pricing and homepage
- open sourceevery-app/open-seo
Integrity checks
What held up, and what did not.
