A giant a part of website positioning isn’t technique. It’s the menial, repeatable repairs: re-running the weekly web site audit, catching the submit that quietly shed a 3rd of its rankings, noticing the DR 80 backlink you misplaced final Tuesday, checking whether or not AI assistants nonetheless describe your product precisely.
All of this wants somebody within the room, reliably, on a schedule, doing the identical diligent checks each time. Nevertheless it doesn’t want you significantly. It simply must ping you when one thing’s value your consideration.
That is the a part of website positioning you possibly can hand to Agent A.
Listed here are a number of the greatest use instances you will get began with. We’ve already constructed most of them as expertise or apps in Agent A, however I’ve additionally given you a starter immediate to make use of in the event you’d wish to construct them your self.
What’s Agent A?
Agent A is a advertising and marketing agent from Ahrefs—an AI assistant with direct entry to the complete Ahrefs dataset that may perform advertising and marketing duties autonomously, slightly than simply reply questions.


Agent A consists of:
- Unrestricted entry to Ahrefs endpoints. Each endpoint we use to construct Ahrefs is offered, together with many you can not attain by way of API or MCP.
- Severe tech stack beneath. Postgres for state, Flask for UIs, an OpenRouter proxy with 300+ fashions, internet fetch with full-page parsing, PDFs, OCR, scheduled jobs.
- Native connectors to advertising and marketing instruments. Slack, HubSpot, GitHub, Notion, Linear, Mailchimp, Resend, SendGrid, Stripe, Gong, WordPress, Airtable, Apify, and even Semrush.
- Professional ability library. The Ahrefs staff has contributed pre-built advertising and marketing expertise and functions that encode how we really work.
Key phrase analysis isn’t laborious. It’s tedious. You pull 4,000 candidates, then spend a day throwing 3,800 of them away, studying SERPs one key phrase at a time, and dragging the survivors into one thing that resembles a plan.
Sam, our VP Advertising and marketing, determined he was completed doing that by hand. He had Agent A construct a key phrase analysis device that may take your area of interest (e.g., “espresso”), type them into clusters, and provide the skill to spin up a content material temporary for every one.
Whenever you sort a distinct segment into the device, Agent A expands it into seed key phrases, then does a complete afternoon’s work in twenty minutes.


It pulls actual quantity from Key phrases Explorer and reads the SERP for each surviving candidate, analyzing search intent, key phrase problem, and who’s already rating. For every key phrase, it counts the page-type make-up of the highest 10 (e.g., editorial articles versus product pages, YouTube movies, or Reddit threads).
The whole lot comes out graded Go, Possibly, or Skip, with the simple wins flagged, plus your opponents mined for hole key phrases you don’t cowl but.


Twenty minutes later, you come again to 5 tabs:
- Overview (with charts)
- A graded key phrase checklist
- Clusters grouped into matters (every with pillar key phrase, whole quantity, site visitors potential, common problem, and SERP make-up at a look)
- Competitor Hole checklist
- Hub-and-Spoke Map of the way it all hyperlinks collectively


Then, in the event you click on on the “Get temporary” button on any key phrase, Agent A writes the spec a content material editor would: three title choices and a meta description, a URL slug, a word-count goal set to beat the pages at the moment rating, a full H1/H2/H3 define, FAQs mined from the precise Reddit and Quora threads in that SERP, internal-linking tables, and a differentiator aimed on the weakest competitor on web page one.



If the SERP is video-heavy, it tells you to shoot a YouTube video alongside the article.
We’ve constructed Sam’s Content material Key phrase Analysis app in Agent A, so all it’s a must to do is to put in it.


Should you’d wish to construct your personal, right here’s a starter immediate:
Starter immediate
Construct me a key phrase analysis device. Enter: a distinct segment (one phrase or phrase). Pipeline: (1) fetch key phrase solutions + international and top-country quantity from Key phrases Explorer; (2) vet every candidate, dropping low-volume, single-word, and off-intent phrases; (3) run a SERP evaluation per surviving key phrase to attain problem and classify intent; (4) cluster key phrases into subject teams; (5) non-compulsory: generate a content material temporary per cluster. Present clusters within the UI with quantity and intent per key phrase, and an “export” button. Run as background jobs the UI polls.
Web site audits are nice at producing findings and horrible at getting them mounted. The report fills up with points and the problems sit there.
So right here’s methods to automate that in Agent A.
Arrange a job that runs each Sunday. Ask Agent A to drag your most up-to-date Ahrefs Web site Audit, rank the problems by precedence, and open a GitHub pull request scoped to the high-severity fixes: indexability issues, damaged pages, damaged inside hyperlinks, and extra.


The PR lands with a guidelines and the audit information connected, so the developer selecting it up Monday morning doesn’t need to re-derive what’s unsuitable.


Each processes are already in-built Agent A as Expertise. The Web site Audit Discovery ability surfaces and prioritizes the problems, and Web site Audit Concern Fixer drafts the fixes.


As soon as launched, you possibly can ask Agent A to run this each Sunday so it’s automated.
Starter immediate
Construct me a weekly site-audit-to-GitHub job. Each Sunday, fetch my newest Ahrefs Web site Audit, filter to high-severity points (damaged hyperlinks, lacking canonicals, redirect chains, indexability), group them by repair sort, and open one GitHub PR per group with a guidelines physique and the affected URLs. Skip any challenge that’s already in an open PR. Put up a one-line abstract of what was opened.
Visitors decay is invisible daily and painfully apparent in hindsight. A submit that quietly misplaced 40% of its site visitors over 1 / 4 doesn’t journey any alarm, nevertheless it hurts you over the lengthy run.
Right here’s methods to automate it. As soon as 1 / 4, get Agent A to check each weblog submit’s natural site visitors towards the prior interval, flag those trending down, and write a refresh suggestion for every: what’s seemingly inflicting the drop and what to replace.
Floor the evaluation in actual numbers by connecting Ahrefs Net Analytics and pulling in Search Console information by means of Ahrefs’ GSC Insights report.


This course of is offered in Agent A as a Ability or an App. The Declining Content material Detection ability does the decay evaluation, whereas the Weblog Freshness app offers you a standing dashboard of refresh candidates with the diagnostics connected.


Ask Agent A to arrange a schedule for this so it runs robotically with out you having to immediate it.
Should you’d wish to construct your personal, right here’s a starter immediate:
Starter immediate
Construct me a quarterly content-decay job. Pull natural site visitors for each weblog submit for the present quarter and the prior one. Flag posts the place site visitors dropped meaningfully. For every, write a refresh suggestion (seemingly trigger + what to replace) and append it as a brand new row in my Notion editorial database. Type by site visitors misplaced so the largest decays are on the high.
You may as well use Agent A to construct out a pipeline the place you possibly can paste an URL from the above device and replace them. That is precisely what our Director of Content material Advertising and marketing, Ryan Legislation did.


The pipeline fetches the article and run 5 diagnostics:
- Scope steering — Set whether or not it is a gentle refresh or a full rewrite.
- Claims audit — the LLM flags each statistic, research reference, and dated assertion within the submit, grades every for staleness, and the place wanted suggests a substitute URL.
- Ahrefs mentions — cross-checks the article towards options launched since publication and suggests the place to say the brand new ones.
- Matter gaps — re-runs the SERP towards present top-ranking pages and surfaces matters they cowl that mine doesn’t.
- Authoritative pages — finds new linkable sources revealed for the reason that article was revealed.
The ultimate stage is a side-by-side diff between the present article and the proposed updates, with settle for/reject per change.


Right here’s a starter immediate to construct the replace pipeline:
Starter immediate
Construct me a blog-post replace pipeline. Enter: a printed URL. Fetch the article. Run 5 diagnostic levels: (1) Steering — I set scope (gentle refresh vs. full rewrite); (2) Claims Audit — LLM extracts each stat, research reference, and dated assertion and grades every for staleness with a instructed substitute; (3) Ahrefs Mentions — cross-check towards Ahrefs options launched since publication and counsel the place to drop new ones; (4) Matter Gaps — re-run the SERP, floor matters present top-ranking pages cowl that mine doesn’t; (5) Authoritative Pages — discover linkable sources revealed since my article. Remaining stage: side-by-side diff between present article and proposed updates, with settle for/reject per change. Export the accepted model as markdown and WordPress shortcodes.
Each AI writing device sells you a similar trick: a completed draft in two minutes. What they don’t point out is the remainder of the week that you just then need to spend fixing it. The final mile is the place the time went all alongside, and a quicker first draft doesn’t contact it.
Right here’s why: “Write me an article” is one immediate doing the work of 9 jobs directly, and it does all 9 badly. Actual website positioning content material is a sequence: key phrase analysis, SERP evaluation, hole evaluation, define, draft, inside hyperlinks, citations, pictures, formatting. Collapse that right into a single ask and you may really feel each skipped step within the output.
So Ryan ran the chain as a substitute of the immediate. He constructed the Weblog Pipeline on Agent A: 11 levels, a goal key phrase in a single finish, a publish-ready draft out the different.


The distinction is that you just see, and may edit, each stage because it goes. Agent A does the meeting; you retain the judgment. You cease salvaging AI drafts and begin approving them.


Starter immediate
Construct me an assisted long-form article pipeline. Atomic enter is a goal key phrase. Levels run sequentially as background jobs the UI polls: (1) key phrase analysis by way of Ahrefs, (2) competitor SERP fetch, (3) AI Content material Helper subject snapshot, (4) bulleted define with mandated subject protection, (5) data-mention placement, (6) full draft, (7) polish, (8) WordPress shortcode formatting + .docx export. Every stage exhibits its output, has an “edit” textarea, and a “refine with suggestions” chat that re-runs the stage with my notes. Model information comes from a per-author voice profile.
Each staff desires the month-to-month efficiency report. No one desires to make it.
So Ryan used Agent A to write down it. Now, on the first of every month, Agent A builds a weblog efficiency report and pulls the numbers collectively from Ahrefs Net Analytics and Ahrefs’ GSC Insights report so that they keep constant.
Crucially, it isn’t traffic-only. The report covers the complete website positioning image: clicks and impressions, key phrase rankings and place modifications, referring domains and backlinks gained or misplaced, plus KPI tiles, month-over-month developments, and high movers. That’s what makes it an website positioning report slightly than a site visitors report.


Sooner or later, I can foresee Ryan piping this straight into our #weblog Slack channel by way of the Slack integration.


You are able to do precisely the identical as Ryan by putting in the Month-to-month Web site Efficiency Report app, accessible in Agent A. Level it at your property, set the schedule, and decide your Slack channel.


Should you’d wish to construct your personal, right here’s a starter immediate:
Starter immediate
Construct me a month-to-month weblog report job. On the first of every month, pull GSC + Ahrefs Net Analytics for the prior month, compute KPI tiles (clicks, impressions, high gainers, high losers) with month-over-month deltas, render a brief abstract, and submit it to my #advertising and marketing Slack channel. Embody a hyperlink to the complete report.
Each month, your opponents earn hyperlinks you’d like to have. Most of these are hyperlink alternatives sitting in plain sight.
Right here’s how we are able to automate them in Agent A.
As soon as a month, get Agent A to take a look at your primary opponents, discover their greatest new referring domains (sorted by the referring area’s personal site visitors and Area Ranking) and log them as a prospecting checklist.


These are potential prospects. The purpose is to see which publications and pages are linking out in our area proper now, so outreach goes to locations that demonstrably hyperlink to websites like ours. A high-DR web site that simply linked a competitor is a far hotter goal than a chilly checklist.
You are able to do the identical through the use of the Hyperlink Intersect Prospecting ability to seek out domains linking to opponents however to not you.
Should you’re particularly in search of damaged hyperlink constructing alternatives or linkbait alternatives, we’ve these expertise accessible too.


Run these expertise, then get Agent A to set it up as an automation.
Or in the event you’d wish to construct your personal, right here’s a starter immediate:
Starter immediate
Construct me a month-to-month competitor backlink job. For my checklist of competitor domains, fetch new referring domains gained within the final month by way of Web site Explorer, type by the referring area’s personal site visitors then Area Ranking, drop low-quality and known-spam sources, and append the highest outcomes to an Airtable base with columns for supply URL, referring area, DR, site visitors, and which competitor it hyperlinks to.
AI assistants are quietly changing into a discovery channel, and what they are saying about you isn’t all the time what you’d say about your self.
Optimizing for the way you seem in AI solutions, whether or not you name it AEO or GEO, is more and more the website positioning staff’s job, as a result of it’s the identical work: understanding what surfaces win visibility, and incomes your home in them.
Right here’s methods to automate it.
Ask Agent A to run a weekly evaluation of your model mentions throughout the foremost AI assistants (or simply the one which issues most to you). Agent A checks how the model is being described, then logs any recurring unfavorable themes (unsuitable pricing, an outdated characteristic declare, a competitor framed as higher).
Should you use Notion or Airtable, you possibly can pipe them in there, too, so you possibly can monitor patterns over time.


You’ll be able to simply do that in Agent A through the use of the AI Model Sentiment ability to run the immediate panel and monitor framing over time. Then, pair it with the AI Point out Hole Evaluation ability to see the queries the place opponents get cited and also you don’t.
Ask Agent A to set it up as an automation for you and also you’re all set. (Or Agent A will even ask you in order for you the automation.)


Should you’d wish to construct your personal, right here’s a starter immediate:
Starter immediate
Construct me a weekly brand-mention monitor for ChatGPT. Every week, test how my model is described in AI solutions by way of Model Radar, extract recurring themes, and log unfavorable or inaccurate ones (unsuitable pricing, outdated claims, unfavorable competitor framing) into an Airtable base with the theme, an instance quote, and the date. Solely report AI share-of-voice relative to my named opponents.
Reddit is consuming the SERPs. There’s a great probability a Reddit thread now outranks your fastidiously optimized web page for a few of your key phrases.
Right here’s how one can automate this in Agent A.
As soon as per week, get Agent A to scan your high key phrases for newly-ranking Reddit discussions value participating with. It checks the SERP for every precedence key phrase, isolates the Reddit outcomes that not too long ago broke into the highest positions, and passes you a shortlist.


The worth is timing. Leaping right into a thread that’s actively rating, whereas it’s recent and the query is reside, is value way over discovering it six months later.
Starter immediate
Construct me a weekly Reddit-opportunity scanner. For my checklist of high key phrases, pull the present SERP by way of Key phrases Explorer / SERP overview, isolate reddit.com outcomes rating within the high 10, and flag ones that newly entered the highest positions this week. Give me a digest: key phrase, thread title and URL, present place, and the query being requested, sorted by key phrase quantity.
Everybody agrees inside linking ought to occur on each publish. Nearly no person does it on each publish.
It’s the flossing of website positioning.
To repair this, Ryan constructed the Inner Linker. Give it a brand new article (a printed URL, or simply pasted draft markdown if it isn’t reside but) and it tells you which ones of your current posts ought to hyperlink to it.


The matching isn’t keyword-guesswork. It vector embeds your article with Gemini and cosine-compares it towards each different submit on the sitemap, then re-scores the highest matches by site visitors, so a related submit pulling actual natural site visitors ranks above an equally related one which no person visits. A hyperlink solely helps if it sits on a web page with authority to move.
It additionally reads every candidate’s markdown and quietly drops any submit that already hyperlinks to you, so the checklist is just locations you haven’t lined but.
It even finds the only paragraph that most closely fits your new article, and has Agent A write a pure 2-6 phrase anchor and rewrite that one sentence to incorporate it. You copy the rewritten sentence straight into the outdated submit. No deciding the place the hyperlink goes, no wording it your self.
Right here’s a starter immediate to recreate this for your self:
Starter immediate
Construct me an internal-linking device. Enter: both a printed weblog URL or pasted draft markdown for unpublished items. Embed the enter article with Gemini and cosine-compare towards my pre-cached weblog submit vectors. Rescore high candidates with authority weighting: 0.7 × similarity + 0.3 × log(org_traffic). Auto-exclude any host already linking to me (parse every candidate’s markdown physique). For every high host, establish the only paragraph most semantically aligned with the enter article, and that’s the place the hyperlink goes. Have Claude draft a pure 2-6 phrase anchor and rewrite a sentence within the host paragraph to incorporate it. Cache passage vectors per host so repeat lookups are on the spot.
Shedding a hyperlink from a DR 80 web site issues. Shedding it silently, and discovering out 1 / 4 later when rankings slip, is the issue.
Right here’s how one can automate this in Agent A.
Each Monday, get Agent A to summarize your not too long ago misplaced backlinks from high-authority domains. When you have a devoted outreach particular person (or whoever’s in cost), you possibly can even get Agent A to ping them robotically in Slack (by way of the mixing.)
It pulls misplaced backlinks from Web site Explorer, filters to referring domains with a Area Ranking of fifty or greater, and consists of the misplaced URL plus the web page it used to reside on, so reclamation outreach can begin the identical day.



Right here’s a starter immediate to construct this your self:
Starter immediate
Construct me a Monday lost-backlink alert. Every Monday, pull backlinks misplaced within the final week by way of Web site Explorer, filter to referring domains with DR 50+, drop nofollow-only and known-spam losses. For every: the linking web page, the misplaced goal URL, the referring area’s DR, and the anchor textual content that was used.
Glen’s analysis discovered that “better of” lists are 43.8% of the pages ChatGPT cites. So, getting added to an inventory like “greatest website positioning instruments” is a large win. However these lists change continuously, and your spot in them issues, so a quiet demotion can value as a lot as elimination.
Right here’s how we are able to use Agent A to repair this.
Everytime you uncover a brand new listicle point out, ask Agent A so as to add it to Firehose for monitoring. Then ask Agent A to re-check every tracked web page for modifications each two weeks: did our entry get eliminated, did we slide down the rating, did a competitor get added above us?



It makes use of Web page Examine to diff the web page towards its final snapshot, so that you solely hear about it when one thing really modified
Starter immediate
Construct me a listicle-mention monitor. Once I add a URL the place my model is talked about, register it in Firehose for monitoring. Each fortnight, re-fetch every tracked web page, diff it towards the final snapshot, and flag solely significant modifications: my point out eliminated, my rank place modified, or a competitor added. Ship me a digest of simply the modified pages with a earlier than/after of the related part.
Remaining ideas
Should you’re an Ahrefs buyer, you possibly can attempt Agent A free of charge for one month.
Launch any of the talked about expertise, set up the apps, or paste the starter prompts right into a recent workspace and your personal Agent A will begin constructing, or seize the completed instruments from the appliance library.




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