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
You pay

$29/mo

$348/yr

Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$200/mo20 h/mo upkeep

On cash alone, building overtakes the subscription at 8 seats.

The code exists. It is not what you are paying for.

This project is real, published, and does the core job — and this page still says keep paying. What the subscription buys is proprietary data, infrastructure at scale and proprietary models, and none of that ships in a repository. Fork it anyway if you want to. Go in knowing what it does not carry. What stays hard ↓ · All Ahrefs alternatives, with the arithmetic →

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 dataThe only AI marketing platform built on Ahrefs’ proprietary index of the web.
  • Infrastructure at scaleWith our in-house infrastructure, we power custom LLMs, enhance data with AI, and expand our databases continuously.
  • Proprietary modelsWith our in-house infrastructure, we power custom LLMs, enhance data with AI, and expand our databases continuously.
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 8 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

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

Not run yet
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 checked4 sources · 3/3 runs agreed · evidence score 26

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.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 3 moats quoted from the page