> article
AI killed my Ahrefs subscription.
I paid Ahrefs ninety-nine dollars a month for two years and opened the dashboard maybe forty times a year. The same work — keywords, rankings, backlinks — now runs for under eight dollars a month, because an AI coding tool writes the connecting code that used to need an engineer. The data was never the expensive part. I was paying for a dashboard and the comfort of using what everyone else uses, and both of those just became optional.
I paid Ahrefs $99 a month for two years. I opened the dashboard maybe forty times a year.
I cancelled it. The same work — keywords, rankings, backlinks — now runs for under $8 a month. Not because I found a cheaper tool that does the same thing. Because I stopped paying for the part I never actually needed.
The data was never what cost $99. The data is cheap. I was paying for a nice dashboard and the comfort of using what everyone else uses. Both of those became optional.
Two different products
Ahrefs and DataforSEO look like competitors. They're not really the same kind of thing.
Ahrefs is a polished product you log into. A dashboard, a brand, deep charts built for long analysis sessions. Its crawler scans billions of pages a day, and its backlink data is the best in the industry. You pay for the experience of looking at the data, not just for the data.
DataforSEO is the opposite. It's an API — a data source built for developers, with documentation instead of a dashboard. It has its own search data, its own keyword database, its own backlink crawler. The data is good enough for most jobs, a bit less rich than Ahrefs, and you pay per request. Fractions of a cent each. Not a flat monthly fee.
Until a few years ago, this made the choice easy for any non-technical founder. Writing scripts against a developer API wasn't realistic if you couldn't code, so you paid for the dashboard. That was the right call.
Now that reason is gone. An AI coding tool writes the connecting code for you in seconds. So the premium I was paying Ahrefs — for the dashboard around the data, not the data itself — stopped making sense.
The math
Here's what DataforSEO actually charges, from their public pricing:
- A search-ranking check: about $0.0006 each
- A live ranking check (instant): about $0.002 each
- Keyword research (volume + cost-per-click): about $0.0015 per keyword
- A backlink pull for one domain: about $0.03
Now here's a month of real work for a founder running one company — mine:
| What I do | How much per month | Cost |
|---|---|---|
| Keyword research for new content | 500 keywords | $0.75 |
| Ranking checks on tracked keywords | 1,000 checks | $1.50 |
| Backlink audits (my site + 3 competitors) | 100 calls | $3.00 |
| Tracking AI citations (Perplexity, ChatGPT, Claude) | 50 calls | $2.50 |
That's under $8 a month.
The same work on Ahrefs Lite is $99 a month. On Standard, $249.
So the gap is 12× to 31×.
If you run an agency with ten clients, $99 spreads across ten retainers and the math is fine. But a founder running one company is paying twelve times what the data costs — and the extra is a dashboard, a brand, and the feeling of safety.
What Ahrefs changed
Recently, Ahrefs launched a $29 Starter plan — its first tier under $99, ever.
The official reason was "broadening access." The real reason is that pay-as-you-go APIs and AI-first tools were eating the cheap end of their market, and $29 was the answer.
But the Starter plan still limits rank tracking to the first page, still limits keyword history, and still pushes you toward the $99 Lite plan the moment you have a real workflow. It's the "spend $35 for free shipping" trick — built to feel cheap, designed to upsell.
If $29 genuinely covers what you do, take it. If it doesn't, the math doesn't favor Ahrefs at any tier above it.
The honest counterargument
The strongest case for paying Ahrefs is that their data is better. That's true. And it doesn't matter for most people. Both things at once.
Where Ahrefs genuinely wins:
- Backlink depth. Their crawler has been running for over a decade. The backlink map is the deepest there is. If link-building is your main game, Ahrefs is the right tool.
- Keyword Difficulty scores. Theirs are tuned against fifteen years of ranking history. DataforSEO's are good but newer, with less history behind them.
- The dashboard. Ahrefs is built for long, exploratory analysis sessions. DataforSEO has docs.
These are real advantages. They're exactly why a big enterprise SEO team should pay for the top tier.
But the founder I'm writing for isn't doing link-building at scale, isn't re-checking difficulty scores every week, and isn't running multi-hour sessions in a dashboard. They're tracking a hundred keywords, watching rankings, and once a month checking who links to a competitor.
For that, Ahrefs's extra quality is invisible. You're paying for depth you never measure, on data you never double-check.
My workflow
The reason DataforSEO works for me is that it fits the tools I already use.
- My keywords live in a Notion table. One row per keyword, with the page it targets.
- Once a week, I open my AI coding tool, hand it the table, and say: "fetch the search volume, cost-per-click, and current ranking for each of these using DataforSEO." It writes the script. The script runs. The table updates.
- When a ranking drops in a way worth investigating, one live check (a fifth of a cent) tells me the top three competitors and what changed since last week.
- Backlink audits run once a quarter, not weekly. A hundred calls a quarter. $3.
Total tools: Notion, an AI coding tool, DataforSEO, a spreadsheet. Total time: about forty-five minutes a week.
The thing Ahrefs can't sell you is the mindset: SEO data is a cheap raw ingredient. Your job is to combine it with your own judgment — not to rent someone else's dashboard to look at it.
"But I can't code"
The objection I hear most: "I don't know how to call an API. The whole point of Ahrefs is that I don't have to."
Fair a few years ago. Not anymore. You don't need to write a single line of code. You need to:
- Open a DataforSEO account. (The minimum top-up is $50 and lasts most founders six months.)
- Open any AI coding tool — Cursor, Claude Code, whatever.
- Type: "Here's my DataforSEO key. Read this list of keywords from my spreadsheet, fetch the search volume and rankings, and write the results back." Paste the documentation link when it asks.
- Run it. Open the spreadsheet.
First time: forty-five minutes. Second time: two minutes. Third time: zero — because you saved the script.
The hard part isn't technical. It's the mental shift. You stop thinking of SEO as a tool you log into, and start thinking of it as data you work with. Once that clicks, $99 a month for a dashboard starts to feel like $99 a month for a printout of a spreadsheet.
If you're hiring me
Half the case studies on this site used SEO research I ran on DataforSEO, not Ahrefs — the Leucine audits, the Aannapurnaa keyword work, the IU Productions benchmarking. All of it ran on one $50 top-up that lasted six months.
Most non-technical founders are one generation behind on their growth tools. The smart move now is cheap data APIs plus AI coding tools. The polished dashboards are where the profit margins are — which is exactly why you keep getting marketed to.
If you're hiring someone to run growth and their first move is "let's get an Ahrefs subscription" without doing the math, ask them to do the math.
The close
Next time someone tells you they "use Ahrefs," ask them how many calls a month they actually make. They won't know.
If you're paying $99 a month for forty logins a year, run the math I just ran. It takes ten minutes, and it might save you a thousand dollars a year.
Sources: DataforSEO pricing and infrastructure pages, the Ahrefs Starter plan announcement, AhrefsBot crawler details, a G2 comparison, and a DataforSEO backlink API comparison.