SEO and marketing decision
Ahrefs
Build only a narrow DIY toolkit; Ahrefs’ core durable advantages—its proprietary web index, large-scale crawling infrastructure, and in-house models—are not realistic for a single team to reproduce, so keep paying for the full product if you need those capabilities.
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
- Crawl target site(s), extract on-page SEO signals, run keyword lookups, track keyword ranks over time, and produce exportable reports/dashboards.
What it still won’t have
- Ahrefs’ proprietary web index and its coverage/freshness
- Large-scale crawling infrastructure and data volume (hundreds of billions of pages)
- Built-in enterprise features such as uncapped API access, SSO, ISO27001 controls
- Pretrained/custom LLMs and any proprietary models or derived datasets
- Advanced integrations and premium reporting/automation add-ons
What remains hard
- Proprietary data
The only AI marketing platform built on Ahrefs’ proprietary index of the web.
- Infrastructure at scale
With our in-house infrastructure, we power custom LLMs, enhance data with AI, and expand our databases continuously.
- Proprietary models
With our in-house infrastructure, we power custom LLMs, enhance data with AI, and expand our databases continuously.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 8 seats.
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 SEO toolkit using Python (FastAPI), PostgreSQL, Redis (optional), and a small React frontend. Implement: (1) a configurable site crawler that fetches pages, extracts title/meta/body text and outbound links and stores results in Postgres; (2) a keyword lookup module that accepts seed keywords and expands via a third-party SERP/keyword API or lightweight SERP scraping; (3) a scheduled rank-checker that queries SERPs for tracked keywords and records positions; (4) a dashboard showing projects, recent crawl results, tracked keywords, and CSV export; (5) background workers (RQ/Celery) for crawling and rank checks, and basic auth. Out of scope: building a multi-billion-page web index, enterprise SSO/ISO certifications, or training custom LLMs. Include error handling, retries, unit tests for core modules, and deployment docs for Docker + a small VPS (2 vCPU, 4GB RAM).
How we checked
How the score was reached
- Pay verdict base20
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-9
- Evidence score26
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 · 4
Every page the run actually retrieved.
- official productAhrefs — official product
- official pricingAhrefs Pricing
- official docsAhrefs Use Cases / Letaido
- open sourceevery-app/open-seo
Integrity checks
What held up, and what did not.
