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Get 1 Month of Agent A Free ($99 Value)
Curious whether Agent A can actually speed up your SEO workflow? Try it yourself with a completely free month. You’ll get your own full Agent A account with unrestricted access to the platform so you can test audits, content planning, keyword research, clustering, reporting, and everything else covered in this review.
A Real-World SEO Workflow of Agent A from ahrefs
Agent A genuinely sped up my SEO workflow. The biggest win for me was how it combines Ahrefs data with AI models like Claude and GPT to turn what would normally take hours into something I could work through in minutes. The reports, strategy docs, interlinking plans, and content briefs were surprisingly usable straight out of the box.
What I liked most was the ability to cross-check Ahrefs data against GSC exports automatically, spot missed opportunities, and generate client-ready deliverables without spending half a day buried in spreadsheets.
What I didn’t like was the UI feeling a little rough around the edges, the free credits disappearing pretty quickly on heavier workloads, and a few workflows still feeling more functional than polished.
Overall though, I’d absolutely recommend trying it if you already work inside Ahrefs or spend a lot of time doing SEO analysis manually. I’m definitely going to keep using it.
Snapshot
I really like this combo – it pairs Ahrefs’ mighty SEO insights with the speed and versatility of tools like Claude. In place of slaving away manually, Agent A helps smooth out the workflow, making research, content planning, and SEO a heck of a lot easier. One of the best things about it is that you’re not locked into just one model; you can hook up and work with multiple AI tools as needed, including Claude, GPT, DeepSeek, Qwen and all the rest.
To be honest, it’s pretty simple to use. Once you’ve had a bit of practice with AI tools you’ll pick it up in no time.
I gave it a spin for a website that was getting better and better at climbing the ranks, but still losing oodles of clicks. With Agent AI was able to whip up a super-efficient SEO diagnosis from Ahrefs data in under 20 minutes flat. That was a major win for me personally, a real productivity boost.
It hooks up directly to Ahrefs and gets to work on its own
The main thing to keep in mind here is this tool does a lot for you, including keyword research, audits, brief writing, and long-term strategy planning. Basically it can help with just about anything related to the SEO industry.
It’ll drag in all the latest Ahrefs stuff right into the conversation – site metrics, organic keywords, top pages, referring domains, SERPs, competitor analysis – and away it goes. Just give it a thumbs up and it takes care of the rest. Which is a total game, changer for the workflow to be honest.
What normally takes an age, wading through data until you’re in over your head, turned into a professional, presentation-ready report that’s ready to roll. The workflow ended up cutting the time it takes to spot those nasty ranking crashes, commercial keyword losses, and the baggage of old technical debt.
Connect Ahrefs
Give the thumbs up and Agent A pulls live site metrics, keywords, top pages, referring domains, and SERPs automatically.
Upload your GSC data
Cross-reference Ahrefs gaps with Google Search Console exports to surface page 2–3 rankings Ahrefs misses.
Get the report
Walk away with a polished, client-ready PDF or CSV. These are things you would actually charge for.
I got an SEO strategy plan from Agent A in Ahrefs in under 10 minutes
Here’s what I did, why I did it, and how the tool made a huge difference.
Here’s the play by play of how I used Agent A to create a solid SEO plan for a real estate tools site in a fraction of the time it would normally take.
The problem
I was working on a content-heavy domain that had hundreds of indexed pages, years worth of accumulated URLs, and no clear content structure to speak of. The site was getting decent impressions but the click-through rates were terrible, and the owner had no idea why. Before I could even start making recommendations, we needed to take a good hard look at the data and figure out what was going on.
How it played out
Grab the raw GSC data
Two exports, pages and queries, 16 months of data. 572 indexed pages and several hundred ranking queries. No cleaning, just straight CSVs.
Let Agent A ask the right questions
Who is the audience? What’s the business goal? Local or national? How do you want the output? Four questions that can completely flip a content strategy.
Agent A digs into the data
Once the brief was set, it analyzed the whole dataset on its own, what would’ve taken all day to find manually.
Get a solid 16-page plan
A full, stakeholder-ready PDF. Not a list of suggestions. A real strategy document.
What it found
What the 16-page plan included
Executive summary
The three most important changes to make first.
GSC data breakdown
What’s working and what’s not, with the data to back it up.
Five content hubs
Each with a rationale based on real impression volume.
Hub detail pages
Pillar URL, target keywords, hub-and-spoke diagram, spoke list with build vs. upgrade status, consolidation and redirect calls.
Internal linking rules
Written as a repeatable standard, not a one-off checklist.
Technical pre-work
What needs sorting before publishing anything new.
12-month roadmap
Realistic for a single writer to follow.
KPI targets
Month 6 and month 12 benchmarks.
What we left out
And why. That last section is what separates real strategic thinking from just a to-do list.
Why this saved me a ton of time
The data analysis alone, spotting patterns in 572 URLs and 1,000 queries, finding cannibalization, diagnosing CTR vs. ranking problems, spotting orphaned content, would’ve been a full day of work if I’d done it myself. Writing up the architecture section, the hub rationale, the spoke lists with status tags, the 12-month roadmap, and the KPI framework would’ve been another day on top of that.
Agent A did all that in about 7 minutes. What I got was a solid, data-driven plan that I could hand off to a client or a content team and they could just start acting on it right away.
The tool doesn’t replace the need for strategic thinking. I still had to know what to ask, what the business goal meant for prioritization, and how to validate what it found. But it totally took the drudgery out of the job, the part that’s mostly time-consuming, not thinking.
It spots the stuff Ahrefs alone would have missed
One of the most impressive moments I had in my testing was working on a B2B software client. Agent A pulled up some keyword gap data from Ahrefs, then I uploaded a GSC export and it cross-checked the two. It turned out Ahrefs had found 45 “gap” keywords, but 13 of them the site actually ranked for, just on page 2 or 3, but Ahrefs doesn’t track that kind of thing very well.
What really stands out is that it interprets data and actually pushes back when the data is telling a story that doesn’t match the brief. When I doubted a keyword it called a “gap” that we actually ranked for. It actually flipped the whole gap analysis on its head, from “keywords we don’t rank for” to “strategic ground we haven’t staked out,” and uncovered topics that the content strategy was calling out as core positioning areas where the site was getting zero traffic. That’s the kind of strategic pivot most tools can’t make.
It churns out client-ready reports and analysis
Each time I finished a session I ended up with a polished PDF or CSV report that was ready to hand over to a client or writer. One content brief came out at 11 pages, all nicely branded, with real customer stats pulled straight from the website and worked into the document.
| Output type | What you get | Ready to charge for? |
|---|---|---|
| Content brief | 11 pages, branded, real stats from site data | Yes |
| Topical roadmap | Re-generated after GSC reconciliation updates findings | Yes |
| Interlinking strategy | Hub-and-spoke map across 138 URLs with from→to→anchor text | Yes |
| SEO audit report | Traffic dips, ranking losses, technical debt, cannibalization | Yes |
These aren’t rough cut outputs. These are things you would actually charge for.
It thinks strategically, technically, and considers the data
One session started with uploading a 138 URL PDF for a service industry software client. Agent A worked its way through them, joined them up with Ahrefs top-page data, grouped the URLs into 12 topical themes, identified some pillar candidates, built out a tiered interlink plan with anchor text sources, and flagged a typo URL that was getting nearly 20,000 monthly impressions and needed a 301 redirect.
It also spotted that one key product page was sitting at 45 in the rankings with tens of thousands of monthly impressions but still only got a fraction of the internal editorial love it deserved, the single biggest untapped asset on the site. That kind of deep dive across a full URL set in one go is genuinely hard to replicate manually.
It’s upfront about its own data limitations
A mark of a tool worth trusting: when Ahrefs gave some wonky traffic numbers in one session, Agent A flagged the discrepancy, tested out a different query mode, found the right figure, and explained exactly why there was a gap in the first place. It didn’t gloss over it. In another session it was honest that Ahrefs misses some page 2+ rankings and GSC is the real source of truth for what a site actually ranks for. That kind of honesty makes it more useful, not less; you’re not flying blind on your data quality.
The content velocity math is something you can actually walk a client through. In one content planning session for a service industry SaaS, it was able to run the numbers: target lift, per-piece traffic expectations by content type, content compounding timelines by publish month, and a realistic 6-month forecast with clear caveats on what conditions would need to hold for the goal to be achievable. That’s the kind of framing that builds confidence with clients and keeps expectations aligned.
The not so good
✓ The good stuff
- Hooks directly into Ahrefs, that’s means no manual exports
- Cross-references GSC vs. Ahrefs data automatically
- Client-ready outputs you can charge for
- Pushes back when data doesn’t match the brief
- Honest about its own data limitations
- Works with Claude, GPT, DeepSeek, Qwen, and others
✗ The rough edges
- UI feels functional, not flashy. I think it’ll get a polish in future iterations.
- Free trial credits burn fast on heavy workloads
- Frontend froze on quota config changes (needed a refresh)
- Exports default to .md files, not PDF
- Some workflows feel clunky vs. other AI tools
Visually the experience is still a bit rough and needs some work. You can see the power that’s lurking beneath the surface but the UI feels a lot more functional than flashy at the moment. Some of the workflows feel clunky, repetitive and really just a bit more ‘get the job done’ compared to some of the other AI tools on the market that really do feel more refined.
For me the only real pain point was getting a handle on the free trial, the platform advertised that it came with a free trial but the AI came with a separate prepaid block of credits that would get used up pretty fast if you’ve got a computationally heavy workload. I burned through all the free credits a lot quicker than I was expecting.
One small UX touch I think could have been handled a bit better was the export options, by default some of the deliverables came over as .md (Markdown) files which was more technical than it needed to be. I would have thought you could default to PDFs or at the very least give a clearer upfront choice of export format.
The Free Model Appears to Have a Bug…
Here is a screenshot of my frustrating little moment. Once all of my free tokens for Claude were used up, I went with the free version that comes (apparently) standard with the agent. Here is me frustratingly trying to get it to do something. Anything.
Frequently asked questions
Does Agent A need an Ahrefs subscription to work?
You’ll need to be an active Ahrefs subscriber in order for Agent A to pull in live site data – its main draw. That being said, you can still use the AI layer to process uploaded exports, such as a GSC csv file, without needing an active Ahrefs connection, although that’s not really the point of Agent A.
What AI models can you use with Agent A?
Agent A isn’t tied to a single model… Claude, GPT, DeepSeek, and Qwen are all on the list, so you can choose the one that works best for your workflow or whatever’s available to you at the time.
Is Agent A worth it if I already use Ahrefs manually?
That’s the pitch, really. If you’re spending hours doing things like gap analysis, GSC reconciliation and your interlinking strategy by hand, Agent A can cut all that down to just one session. And the output quality is actually client-ready… which I have to say was a real surprise.
How do I get started with agent A?
Give Agent A a domain with a specific problem to solve, like ‘rankings are improving but clicks are dropping’ – that’s actually a great place to start. Then just upload a GSC export alongside it, and that’s where you’ll really see the power of the GSC vs Ahrefs reconciliation come to life.
More tools in the same wheelhouse
If Agent A is your research engine, these help you actually deliver on what it surfaces.
About Bryan Reynolds
I’m Bryan Reynolds. I’ve tested a lot of SEO tools that promise the world and deliver a spreadsheet. Agent A is the first one that actually made me rethink my workflow, not because of the hype, but because the output was something I could hand to a client without apologizing for it.
Want to talk through your own setup? Get in touch.
