---
title: "Keyword research in the age of AI"
url: "https://www.omnicliq.com/en/blog/keyword-research-in-the-age-of-ai/"
description: "Keyword research looks mechanical from the outside, but every step is a judgement call: what is relevant, what fits the searcher's intent, what can rank and what is worth turning into content. ChatGPT does not remove the need for judgement. It changes which parts are worth automating.

This is the three-step workflow our SEO team presented at SEO Vibes Tour Athens."
category: "seo"
datePublished: "2023-09-28"
readTime: "3 min read"
author: "Dimitris Bachtsevanis"
locale: "en"
---

# Keyword research in the age of AI

> Keyword research looks mechanical from the outside, but every step is a judgement call: what is relevant, what fits the searcher's intent, what can rank and what is worth turning into content. ChatGPT does not remove the need for judgement. It changes which parts are worth automating.

This is the three-step workflow our SEO team presented at SEO Vibes Tour Athens.

**TL;DR.** Three-step framework for using ChatGPT inside a proper SEO keyword research workflow — from intelligent keyword organisation to automation with AI to iteration based on results. Shared at SEO Vibes Tour Athens. The punchline: AI is a time-efficiency multiplier, not a replacement for judgement.

## Intelligent keyword research organisation

Before AI comes into play, the research plan needs structure. A typical e-shop or B2B site has dozens of intent clusters: buying, informational, comparison, brand and non-brand, plus long-tail variants per persona, use case and funnel stage. Without that structure, AI produces volume, not coherence.

This step is human work: **define the clusters**, **map the stages of the customer journey** the keywords must cover, and **set boundaries** for what is in scope and what is a different project (another product, market or intent). AI can help with first hypotheses, but the final structure is a judgement call and becomes the basis for [on-page SEO](/en/seo/on-page-seo/) and [content marketing](/en/seo/content-marketing/).

## Use ChatGPT to automate and optimise the process

Once the cluster architecture is set, ChatGPT becomes genuinely useful as a volume generator. The pattern we use:

- **Expand seed keywords** into long-tail variants across each cluster, orders of magnitude faster than manual brainstorming.
- **Infer search intent** per keyword by prompting for the underlying question a user is likely asking.
- **Generate topical outlines** for cluster-level content briefs, which the [SEO](/en/seo/) team then reviews and refines.
- **Cross-check competitor coverage:** prompt the model with competitor URLs and ask what keyword gaps are visible.

Critically, none of this output ships as-is. It is raw material for the SEO team to validate with classic tools (Search Console, keyword volume data, SERP inspection) and with their own judgement.

## Iterate based on real results

The third step is where most AI-assisted keyword workflows break down. Teams prompt, get output, ship, and never close the loop. The discipline is to **feed real performance data back into the prompting workflow** — which keyword clusters actually drove traffic, which content briefs converted, which terms the AI over- or under-indexed on.

After a few iteration cycles, the prompting gets sharper, the output gets more aligned with what actually works in this specific site and vertical, and the time saved compounds. **The key to success is maximising time efficiency and human productivity** — not replacing the SEO practitioner, but removing the tedious volume work so the practitioner can spend time on the judgement calls that matter.

## FAQ

### Can ChatGPT do keyword research on its own?
No. It finds ideas and variants faster, but search volume and the final choice are checked with tools like Search Console and by a person.

### Where does AI save the most time?
Expanding keywords into long-tail variants, inferring search intent and drafting first outlines for content briefs.

### How often should I redo keyword research?
After every publication, based on real results in Search Console. The workflow is a loop, not a one-off.