# Agentic search and marketing workflows

Source: https://www.florianhiess.com/en/expertise/agentic-search/

Language: en

Understand agentic search: GEO, AI agents and workflows in marketing and search. Discover Florian Hieß and my experience in this field.

Author: Florian Hieß

## New forms of search also change the work.

Within my focus, agentic search connects new search visibility with workflows where agents support research and marketing tasks. It concerns both the information your business provides and how your team works with information.

My experience includes GEO as an extension of SEO, citability and mentions, AI agents and agentic workflows in marketing and search. I want to understand the specific task and its scope for action.

An agent can select steps within a brief. That raises questions about control: Which sources may it use? Where does its brief end? Which action must a person approve? For me, these questions belong at the beginning of planning.

## What do I mean by agentic search?

I use agentic search here as a specialist focus bringing search together with agentic processes. The term is used in different ways; my perspective covers research agents and marketing workflows as well as representation of businesses in generative answers.

For your business, I therefore want to identify the intended task more precisely. Should an agent find and check information? Prepare existing research? Or do you want to understand how your offer is described in new search systems?

The distinction changes the next step. For search visibility, work can start with content and documented observation. An agent additionally needs a brief, permitted access and criteria for the result.

[GEO](https://www.florianhiess.com/en/expertise/geo/) explains the perspective on mentions and source references. This distinction helps translate the new term into a manageable question for your business.

## Connecting visibility and workflows

Visibility and workflows meet in information quality. A business needs to explain its offer clearly. A researching agent, in turn, needs criteria for assessing a source and its statements.

I recommend explicitly considering both sides. Which information is missing from your website? Which details does an internal research brief need? Who checks the result before it enters a recommendation or published content?

Citability and mentions remain different questions. Content's suitability as a source is different from a visible brand mention. An agentic process can support documentation. Assessment of the method must remain understandable.

My approach connects these tasks with [SEO](https://www.florianhiess.com/en/expertise/seo/) and [AI implementation](https://www.florianhiess.com/en/expertise/artificial-intelligence/). The relevant relationship depends on whether you want to examine search visibility or change your team's work.

## Which tasks suit agents?

Agentic support can suit tasks requiring further steps to be selected within a clear brief. Research might, for example, raise additional questions to be addressed using permitted sources.

This is a general application example. It doesn't mean every marketing process should be automated. A simple workflow may be sufficient for a defined process.

I recommend beginning with a limited task. Describe the expected result and available information. Permitted actions and checkpoints can then be defined. If a task requires sensitive access or publication, responsibilities must be clarified first.

A useful experiment then shows which work the agent supports and which specialist review remains necessary. This reworking belongs to assessment so the process remains responsibly manageable within the business.

For planning, I would record permitted actions individually. Reading information, saving a draft and publishing content are different permissions. A brief should show which permission the task actually needs. Review then stays focused on understandable actions.

Behaviour when information is missing is equally important. An agent should be able to make an open question visible rather than add a plausible detail. A responsible person can then decide whether further sources or access are needed.

I also recommend comparing the result with the original brief. Was the question answered, and what remains uncertain? Extensive research can miss the actual need. Review should therefore consider the required end state and decide on reworking accordingly. These criteria must be tested in the specific process; describing them alone is not confirmed evidence of quality.

## Control and quality within the process

Control in an agentic process starts with clear boundaries. A brief should specify permitted sources and tools, and the conditions under which work ends.

I recommend treating external content as information whose origin is checked. Instructions in a discovered source must not simply change the brief. The person using the agent must define permitted actions.

A result should include verifiable evidence and visible uncertainty. A summary should show what came from a source and what interpretation was added. Human approval may be needed before an action with external effects.

These rules form part of my planning approach. Whether a process actually fulfils them must be checked through the specific experiment. A convincing-sounding result does not replace that review.

## Experience and continuing education

My experience connects AI agents and agentic marketing processes with GEO, citability and mentions. Continuing education belongs to this focus. I've completed the SurferSEO AEO Masterclass and HubSpot AI Search Certification and am an Otterly Ambassador.

My background in online marketing and SEO helps connect new processes with specific marketing tasks. The ambassador role is distinguished from certifications.

If you'd like to assess a research brief or marketing workflow, describe the current task through [contact and an initial consultation](https://www.florianhiess.com/en/contact/). For a broader introduction, the [AI guide](https://www.florianhiess.com/en/ai/introducing-ai-in-marketing/) describes an approach from a limited experiment to ongoing work.

Your first description can remain an open question. We can use it to identify a suitable framework for an experiment together.

Further reading: [Distinguishing SEO, GEO and AEO](https://www.florianhiess.com/en/seo/seo-geo-aeo-differences/).

## Frequently asked questions about agentic search

### What does agentic search mean?

Within my focus, agentic search means connecting new forms of search with agentic workflows. It includes research and marketing tasks where an agent can select further steps within a brief. The term has different meanings. For a specific collaboration, we therefore explicitly describe the intended task and scope for action.

### How does agentic search differ from GEO?

GEO examines representation in generative answers, including brand mentions and source references. In my perspective, agentic search also covers workflows with agents. The topics overlap in source quality and research. Observing AI answers and building a research agent are nevertheless different tasks that need their own frameworks.

### Are all automated workflows agents?

An automated workflow isn't automatically an agent. A workflow can execute defined steps. An agent receives room to select further steps within a brief. I recommend justifying this freedom through the task. For a clear recurring process, a simpler form of support may be sufficient.

### What experience do you bring in this field?

My experience includes GEO as an SEO extension, citability and mentions, AI agents and agentic workflows in marketing and search. I've also completed the SurferSEO AEO Masterclass and HubSpot AI Search Certification. I'm an Otterly Ambassador.

### Which marketing tasks suit agentic support?

Limited research and preparation tasks may suit agentic support. What matters is whether the task actually requires decisions about further steps. I recommend describing the expected result and permitted sources. Specialist review and possible reworking must remain part of the experiment before permanently adopting a process.

### What role do sources play in agentic research?

Sources determine the foundation on which an agent researches and prepares statements. I recommend making important details' origins and scope visible in the result. A summary should distinguish observation and interpretation. Source content must also not determine new agent instructions or access to further data without review.

### How does agentic search connect with citability and mentions?

Agentic search connects with citability and mentions through research and information observation. A workflow can document source references and brand mentions. Content's suitability as a source and a visible mention must be assessed separately. I recommend describing the method so its support doesn't become an unsupported visibility guarantee.

### How can an agentic workflow be sensibly limited?

An agentic workflow is limited through its brief, permitted access and stopping conditions. Define which actions it may carry out itself and which need approval. I recommend an initially manageable experiment. This allows errors and reworking to be checked before the process touches further systems or important business data.

### When does an agent need human approval?

Human approval is especially relevant when an agent acts externally or changes important data. The business must define the exact boundaries in advance. I recommend connecting approvals to understandable actions, such as publication or sending. A research draft and an executed action should be explicitly distinguished.

### How is the quality of agentic search results assessed?

Agentic search results are assessed against the brief and supporting evidence. Check whether sources fit the question and statements are reproduced correctly. Missing information and uncertainty also belong in the result. I recommend documenting the effort for review. Language quality alone does not demonstrate specialist reliability.

### What distinguishes a research agent from a chatbot?

A research agent works on a defined brief and can choose further steps or sources. A chatbot initially describes conversational use; its actual scope for action depends on implementation. I recommend asking about permitted access and actions rather than inferring capabilities from a label alone.

### How can an initial agentic search use case be tested?

An initial agentic search experiment should have a limited question and reviewable results. Describe permitted sources, access and approvals. I recommend first recording an existing research process for comparison. Then assess the support created and which specialist review people still need to undertake.
