How I Use My AI Advertising Assistant After 200+ Hours

After spending 200+ hours with Agent A, Ahrefs’ AI advertising and marketing assistant, I’m nonetheless undecided whether or not it’s my greatest pal or my greatest risk—it’s that succesful.

Right here’s me letting my AI assistant code one thing for me, whereas I ponder the AI doomsday situations.

However debating the impression of AI on our jobs solely will get you thus far. A greater use of your time is determining how you can reinvent your function with this know-how. I imply, use it to do the stuff you by no means had sufficient time, expertise, or assets to do earlier than—and create extra worth to your group within the course of.

On this article, I’ll present how I exploit Agent A for advertising and marketing: constructing small instruments, automating search engine optimisation analysis, bettering my writing, organizing information, operating recurring checks, and connecting the instruments I already use. Every part features a immediate you possibly can strive, plus the frustrations and limits I’ve discovered alongside the manner.

An AI advertising and marketing assistant is a devoted workspace for advertising and marketing duties that may use instruments, work with recordsdata, connect with information sources, keep in mind preferences, and automate repeatable workflows.

It seems like a typical AI chatbot on the floor, however that’s simply the way you speak to the agentic AI know-how “below the hood”.

You possibly can arrange your first agent utilizing Claude Code or the ChatGPT Brokers function in minutes utilizing a single sentence, no coding expertise wanted.

In contrast to a chatbot that primarily solutions questions, or a general-purpose AI agent that begins from scratch, a advertising and marketing assistant comes with built-in advertising and marketing experience, specialised instruments, and integrations with the platforms you already use.

Agent A, for instance, comes with advertising and marketing apps and expertise constructed by the Ahrefs group primarily based on mixed years of expertise in advertising and marketing.

Agent A additionally has direct entry to Ahrefs information, and is designed to work with it natively. Meaning much less setup, fewer workarounds, and a a lot sooner path from concept to execution.

Since early April, I’ve amassed 248 chat periods, roughly 17,000 messages, 41 apps, 57 artifacts, and 17 automated jobs in Agent A, my AI assistant.

That’s why I not consider it as a chatbot. It feels extra like a workshop—a spot the place work will get completed. I can construct, experiment, and resolve issues there, then invite others in to collaborate or discover what I’ve created.

Right here’s how I exploit it in my day-to-day work.

My assistant retains me from burning out on repetitive search engine optimisation work

search engine optimisation includes numerous repetitive work: pulling information, cleansing it up, evaluating reviews, checking assumptions, and determining what to do subsequent. It’s necessary work, but it surely shouldn’t take over your day. My AI assistant handles a lot of that busywork, so I can concentrate on technique and decision-making.

One instance is a key phrase analysis hub I constructed. It brings collectively the frameworks, shortcuts, and processes I’ve developed through the years right into a single workflow. As an alternative of ranging from scratch, I get a prioritized listing of alternatives, enterprise potential scores, and subject relationships that make the subsequent steps a lot clearer.

If you wish to copy the logic of my app, present this GitHub hyperlink to any AI agent. I encourage you to remix it so it feels tailored—as a result of that’s the entire level.

When you’re utilizing Agent A, you can too strive the Content material Key phrase Analysis app by Sam Oh, which you will know from our YouTube channel.

My assistant displays metrics I might in any other case overlook to examine

Many advertising and marketing reviews are solely helpful in the event that they hold operating after the primary evaluation. My AI assistant turns one-off investigations into recurring techniques with scheduled checks, historic monitoring, alerts, and reviews. Issues that used to stay on a to-do listing grow to be processes that run routinely.

For instance, for one of many AI search engine optimisation experiments I did, I constructed a customized dashboard displaying citations and mentions earned by the pages I constructed, i.e., the AI protection.

The assistant can then message me on Slack each week with a simplified model of the report:

My assistant remembers product information and distinctive step-by-step guides

Product particulars, buyer insights, selections, and classes discovered usually get buried in chat threads and forgotten paperwork.

My AI assistant acts like a librarian that retains observe of this info and makes it simple to retrieve later. Meaning much less time trying to find context and fewer errors attributable to lacking info.

For instance, I can use the app to get information for a presentation and ask my AI assistant to create an infographic from it:

The immediate I used to create the infographic.

And the short one-shot infographic I pasted proper into the webinar deck.

If you’d like an app precisely like that, present this GitHub hyperlink with all of the directions to your AI assistant.

By the way in which, collating the entire directions and pushing them to GitHub was additionally completed by Agent A. I simply described what I needed to attain.

My assistant remembers how I prefer to write

One of many greatest frustrations with AI is having to repeat the identical stylistic preferences again and again. So, I taught my agent what to keep away from and what to emphasise, so these preferences grew to become a part of its default conduct.

The type reference works like a ability contained in the software, so I can name on it anytime by saying one thing like, “use my editorial information.”

To make this work, I merely gave the assistant hyperlinks to my favourite articles and some pointers on how I like to write down. From that, it constructed a writing profile that I can hold refining over time.

You are able to do the identical. Present your assistant examples of labor you admire—or your individual greatest work—and it could actually be taught the patterns, preferences, and elegance that make your writing really feel like you.

My assistant helps me apply nice concepts and practices I’ve seen on-line

There’s extra helpful content material on-line than anybody can learn, not to mention put into observe. Most of us are continually saving articles, guides, and frameworks with each intention of coming again to them later however we hardly ever do.

An AI assistant may also help with that. You present it a helpful information or framework, it learns the method, and the subsequent time you want that strategy at work, it already is aware of how you can run it.

For instance, my colleague Louise wrote an incredible information on YouTube monitoring, however the sensible steps had been lots to recollect. So, I requested my agent to show the step-by-step directions from the information right into a reusable ability.

Have a look at the immediate within the picture—you don’t must be an AI immediate engineer to make your assistant immediately extremely helpful to you.

Since my assistant has entry to search engine optimisation information, it could actually autonomously run the directions given within the article.

On a sidenote, LLMs like ChatGPT and Claude Opus present the intelligence, however we nonetheless want to present them the precise context. That may be so simple as displaying your assistant the content material you want. Join the assistant to the precise set of information, e.g., search engine optimisation information, and

My assistant runs content material analysis within the background and tells me when it’s completed

As a content material creator, what you actually need is a customized content material feed: the necessary alerts from the week that might encourage your subsequent piece.

An AI agent may also help lots right here. It may possibly plan the workflow, run it on a schedule, and message you when one thing is price studying.

I’ve at all times felt behind on what’s taking place on Reddit, so I requested my assistant to construct a Reddit listening app. It checks r/search engine optimisation, r/bigseo, and r/SEO_LLM for posts about AI search, generative engine optimization, and AI visibility.

As an alternative of scrolling manually, related posts are collected each day, matched towards key phrases, saved in a searchable format, and was a weekly report. I exploit it to maintain up with a fast-moving subject with out having to stay on Reddit.

However in fact, I are inclined to overlook to examine the app. Good factor my assistant sends me reviews straight to Slack.

My assistant builds webpages for me (CMS too)

Whenever you want a webpage, what you actually need is to launch pages shortly with out ready on a designer’s queue or a developer dash.

An AI assistant may also help with that. It may possibly plan the web page, construct it, publish it someplace shareable, and allow you to hold making modifications in plain English even after it’s stay. It may possibly even construct a fast CMS for that web page.

In Agent A, I may also purchase a brand new area proper within the software and have the Agent publish to it for me.

Get an agentic AI software like Agent A and describe the web site you need as if you happen to had been briefing a teammate or a contractor. Share examples, temper boards, competitor pages, or anything that helps talk the look, really feel, and function of the location. The extra context you present, the better it’s for the AI to grasp what you’re making an attempt to construct.

My assistant pulls information from the instruments I already use (so I don’t have to)

Content material usually is determined by information saved throughout analytics platforms, CRMs, spreadsheets, and different instruments. Quite than manually pulling the whole lot collectively, I can ask the AI to gather the related information and put together an preliminary evaluation.

From there, it could actually floor traits, spotlight notable findings, and generate charts or visuals that can be utilized immediately in a report or article.

For instance, my newest article on Moltbook was virtually completely completed inside the AI workspace, together with pulling information from Ahrefs and visualizing it.

My assistant builds instruments tailor-made to precisely how I work

After doing one thing for years, you develop your individual manner of working. The issue is that the majority software program is designed for the typical consumer, not to your particular workflow. AI modifications that by making it simple to construct instruments round the way you already work.

For instance, impressed by my colleague Louise, I constructed a Scrapbook app. It takes articles, movies, hyperlinks, or notes, summarizes them, generates associated content material concepts, and shops the whole lot in GitHub so I can entry it from wherever and share it with my group.

It’s half second mind, half analysis library, and half quotation vault for future writing initiatives.

So each time I come throughout inspiring content material, I can simply come to the Agent and say “scrapbook URL”.

My assistant connects my complete advertising and marketing stack

Some apps have been a part of my each day work for years. Now I don’t must hold leaping between them, as a result of AI acts because the glue between these techniques.

My assistant helps transfer info between instruments, remembers selections, checks standing updates, and retains workflows operating.

• Ahrefs: the whole lot search engine optimisation and AI search, together with reporting, key phrase
  analysis, competitor evaluation, and lots extra.
• Apify: scraping internet pages and SERPs for information that isn’t in any
  software but—helpful for one-off competitor pulls, constructing customized datasets, and watching pages that change.
• Github: the place my notes, information bases, and small app code stay.
  Markdown recordsdata sync there routinely, so I at all times have a clear backup and teammates can learn or edit the identical content material.
• Linear: my work log. Each process, concept, and follow-up goes right here so
  I can see what’s in progress, what’s ready on me, and what’s completed.
• Slack: the place the agent talks to me when one thing wants consideration—each day digests, completed jobs, alerts from recurring checks. Saves
  me from having to recollect to examine each dashboard.
• WordPress: posting articles for evaluations, updating articles.

The toughest a part of utilizing a strong AI assistant is noticing when my very own considering begins bending to suit what it produces. Just a few patterns I hold catching myself in and how you can repair them.

Pondering extra AI output means higher work

Extra output doesn’t equal higher work.

One of many greatest traps with AI is assuming that producing extra routinely creates extra worth. It doesn’t. When you’re not cautious, you find yourself constructing extra issues whereas sustaining fewer of them. High quality slips, possession turns into fuzzy, and your consideration will get unfold too skinny.

The reply isn’t to create much less. The entire level of utilizing AI is to do extra, in spite of everything. The bottom line is to start out small. Earlier than constructing an app, automation, or content material engine, create the minimal helpful model first—a immediate, guidelines, observe, or proof of idea. Then scale solely what proves genuinely helpful.

The identical applies to search engine optimisation and content material advertising and marketing. Publishing a lot of AI-assisted content material isn’t routinely dangerous. Publishing a lot of content material with out human supervision, unique perception, or actual worth is. That’s when Google’s spam techniques—and human readers—begin to discover.

Letting the mannequin do my considering for me

One of many best errors to make with AI is handing over the considering, not simply the work.

The mannequin isn’t the good one on this duo. It’s good at producing prospects, recognizing patterns, and filling in gaps, but it surely doesn’t have your judgment, expertise, or style.

Once I rely too closely on its framing, I cease bringing my very own viewpoint to the desk and find yourself making edits contained in the assistant’s worldview as a substitute of growing my personal.

I’ve discovered the very best outcomes come once I begin with a tough take first. What do I feel? What am I not sure about? What would a superb reply really seem like? As soon as I’ve that, I exploit the mannequin to problem my assumptions, floor blind spots, or prolong my considering—not exchange it.

Mistaking velocity for progress

AI makes it extremely simple to create issues shortly. The issue is that creation is just one a part of the job.

I’ve discovered that transferring sooner doesn’t at all times imply making progress. Typically it simply means accumulating extra issues to handle later—new instruments, automations, paperwork, and workflows that appeared helpful within the second however by no means grew to become a part of a sustainable system.

The actual price exhibits up later as workspace litter, half-finished initiatives, and background work that nobody really owns.

To keep away from that, I deal with administration as a part of the creation course of. I exploit AI to assist hold observe of what’s being constructed via Linear—assessment queues, work logs, supervisor checks, and common cleanup cycles. Creating one thing is simple. Ensuring it stays helpful is the place the actual work begins.

No one talks about “pc use circumstances” as a result of the pc is a general-purpose setting. An AI agent feels comparable. The actual worth usually seems solely after you strive a process and see whether or not the agent can work out the steps, use the precise software, or construct the lacking piece.

See what my colleagues do with their brokers and get some extra inspiration in these guides:

On prime of that, there are lots of different instruments you possibly can connect with your AI assistant. As an illustration, you possibly can join Agent A to HubSpot, Notion, Airtable, Google Advertisements, Mailchimp, Stripe, Gong, and dozens extra.

It’s in all probability not an accident that OpenAI and Anthropic are forming partnerships to assist corporations undertake their know-how.

Even when the know-how is that this good, it doesn’t clarify itself. You possibly can present somebody an AI agent, inform them it could actually plan, use instruments, construct apps, keep in mind context, and work within the background—and the apparent query continues to be: Okay, however what do I really do with it?

After spending time with Agent A, I perceive the issue higher. Everyone knows that the tech is highly effective, the onerous half is studying how you can assume with it.

Thanks for studying! Be happy to attach with me on LinkedIn or Substack.