For greater than two years, a brand new idea has been rising known as Agentic search engine marketing.
The concept is to carry out search engine marketing utilizing brokers based mostly on language fashions (LLMs) that carry out complicated duties autonomously or semi-autonomously to save lots of time for search engine marketing consultants.
After all, people stay within the loop to information these brokers and validate the outcomes.
Right this moment, with the appearance of ChatGPT, Claude, Gemini, and different highly effective LLM instruments, it’s simple to automate complicated processes utilizing brokers.
Agentic search engine marketing is, subsequently, using AI brokers to optimize search engine marketing productiveness. It differs from Generative Engine Optimization (GEO), which goals to enhance search engine marketing to be seen on engines like google powered by LLMs equivalent to SearchGPT, Perplexity, or AI Overviews.
This idea is predicated on three major levers: Ideation, Audit, and Era.
On this first chapter, I’ll concentrate on ideation as a result of there’s a lot to discover.
In our subsequent article, we are going to see how this idea might be utilized to auditing (full web site evaluation with real-time corrections), and the way lacking content material might be generated utilizing a “Human within the Loop” – or somewhat “search engine marketing Professional within the Loop” – strategy.
AI Brokers And Workflows
Earlier than presenting detailed use instances relating to ideation, it’s important to elucidate the idea of an agent.
AI Agent

AI brokers want no less than 5 key parts to operate:
- Instruments: These are all of the assets and technical functionalities out there to the agent.
- Reminiscence: That is used to retailer all interactions in order that the agent can keep in mind data beforehand shared within the dialogue.
- Directions: Which outline its limits, its guidelines.
- Data: That is the database that accommodates the ideas that the agent can use to unravel issues; it will possibly use the information of the LLM or exterior databases.
- Persona: Which defines its “persona” and infrequently its degree of experience, together with, particularly, its method of interacting.
Workflow
Workflows permit complicated duties to be damaged down into less complicated subtasks and chained collectively logically.
They’re helpful in search engine marketing as a result of they facilitate the gathering and manipulation of knowledge wanted to carry out particular search engine marketing actions.
Moreover, in latest months, AI suppliers (OpenAI, Claude, and many others.) have moved from merely providing the mannequin as such to enriching the consumer expertise.
For instance, the Deep Analysis characteristic in ChatGPT or Perplexity isn’t a brand new mannequin, however a workflow that enables complicated searches to be carried out in a number of steps.
This course of, which might take a human a number of hours, is carried out by AI brokers in a couple of tens of minutes.

The diagram above illustrates a easy search engine marketing workflow that begins with “Knowledge & Constraints,” which feeds a software known as “Instruments search engine marketing 1” to carry out a particular motion (equivalent to SERP evaluation or scraping).
Subsequent, we’ve two AIs (IA 1 and IA 2) that intervene to generate particular content material, after which comes the “HITL” (Human In The Loop) step earlier than reaching the deliverables.
Though AI and automation play a central function, human supervision and experience stay important to make sure high quality outcomes.
Use-Case: Ideation
Let’s begin with ideation. As , AI excels at opening up potentialities.
With the proper strategies, it’s potential to push AI to discover each conceivable thought on a subject.
An search engine marketing knowledgeable will then choose, refine, and prioritize the perfect recommendations based mostly on their expertise.
Quite a few experiments have demonstrated the optimistic influence of this synergy between human creativity and synthetic intelligence.
Beneath, Ethan Mollick’s diagram posted on X (Twitter) illustrates a benchmark of the artistic course of with and with out AI:
In a big consultant pattern of people in comparison with GPT-4: “the artistic concepts produced by AI chatbots are rated extra artistic [by humans ]than these created by people… Augmenting people with AI improves human creativity, albeit not as a lot as concepts created by ChatGPT alone” pic.twitter.com/rJDUZxJ4iL
— Ethan Mollick (@emollick) February 2, 2025
The determine reveals the distribution of creativity scores (from 0 to 10) assigned to totally different sources: ChatGPT, Bard (now Gemini), a human management group (HumanBaseline), a human group working with AI (HumanPlusAI), and one other group working towards AI (HumanAgainstAI).
The horizontal axis represents the perceived degree of creativity, whereas the vertical axis signifies the frequency of every rating (density).
We are able to see that the curve equivalent to HumanPlusAI is usually shifted to the proper, that means that evaluators contemplate this human+AI collaboration to be essentially the most artistic strategy.
Conversely, the typical scores of ChatGPT and Gemini, though excessive, stay beneath these obtained by the human-machine synergy.
Lastly, the HumanBaseline group (people alone) is just under the efficiency of the Human+AI duo, whereas the HumanAgainstAI group is the least artistic.
AI alone can produce spectacular outcomes, however it’s together with human experience and sensitivity that the very best ranges of creativity are achieved. Let me offer you some concrete examples.
Instruments Like Deep Analysis
Among the many instruments out there, Deep Analysis stands out for its capacity to conduct in-depth analysis in a number of steps, offering a beneficial supply of inspiration for ideation.
I like to recommend utilizing this open-source model; should you want, you may as well use the OpenAI or Perplexity variations.
How Does It Work?
This diagram describes the operation of the Open Supply Deep Analysis software.
It generates and executes search queries, crawls the ensuing pages, then recursively explores promising leads, and eventually produces an in depth report in Markdown format.

There are a number of steps to utilizing Deep Analysis:
- Enter your question: You may be requested to enter your question. It’s essential to attempt to be as exact as potential. Don’t hesitate to ask ChatGPT or Claude to create your DeepResearch search.
- Specify the depth of the search (really helpful: between 3 and 10, default: 6): What number of subjects might be present in every iteration?
- Specify the depth of exploration (really helpful: between 1 and 5, default: 3): If the crawler finds an attention-grabbing matter, what number of pages deep will it discover?
- Refinement: Generally, you might want to reply follow-up inquiries to refine the route of the search.
With this open-source model, you may flip this open-source venture into an actual search engine marketing software. I’ve recognized greater than 4 use instances:
- Competitor Content material Evaluation: The software can automate the gathering and evaluation of rivals’ content material to establish their methods and spot alternatives for differentiation.
- Lengthy-Tail Key phrase Analysis: By analyzing the online, it will possibly establish particular key phrases with excessive potential and fewer competitors, facilitating content material optimization.
- SERP Evaluation: It may possibly acquire and analyze search engine outcomes to know tendencies and rivals’ positioning.
- Content material Concept Era: Primarily based on in-depth analysis, it will possibly establish related subjects and regularly requested questions in a given area of interest.
For instance, you may set up CursorAI, a code era software, and ask it to switch the code to create a SERP evaluation. The software will simply make all the mandatory adjustments.
With Agentic search engine marketing, it’s potential not solely to customise and enhance present instruments however, extra importantly, to create your individual software to fit your particular wants.
Then again, if you’re not a developer in any respect, I counsel you to make use of a no-code resolution.
No-Code Agent Workflow Instruments
Right here is an instance of a no-code software known as Dng.ai.
We use a CSV file offered by Moz, which we analyze utilizing an agent able to processing the information, producing Python code, and extracting all the mandatory data.
In blue, you could have the enter fields that function a place to begin; then, in orange, you could have instruments like scrapers, crawlers, and key phrase instruments to extract all the mandatory knowledge; and eventually, in purple, you could have the AIs that establish all of the clusters that should be created.

The agent then compares this knowledge with the subjects already in your web site to establish lacking content material.
Lastly, it generates a whole checklist of subjects to create, guaranteeing optimum protection of your search engine marketing technique. There are numerous no-code instruments for constructing Agentic workflows.
I gained’t checklist all of them, however as you may see right here on this software, an interface is robotically generated from the workflow, and all you might want to do is specify your matter and a URL and press the run button to get the leads to lower than two minutes.

Discover The Full Potential Of This Device For Your self
I go away you to understand the outcomes of a software that’s constructed from the search engine marketing knowledge of any software.

I believe I may have made greater than two hours of video on YouTube simply on the ideation side, as there’s a lot to say and take a look at.
I now invite you to discover the complete potential of those instruments and experiment with them to optimize your search engine marketing technique, and subsequent time, I’ll cowl audit use instances with Agentic search engine marketing.
Extra Sources:
Featured Picture: jenny on the moon/Shutterstock