For marketing teams and smaller businesses starting their AI journeys, ChatGPT, Claude, and Copilot offer three distinct routes into AI-supported CX marketing.
Each tool has a different role to play, whether teams need broad support with everyday tasks, deeper analysis of customer data, or assistance within established workplace applications.
Before committing to high prices and lengthy plans, marketing leaders should start with low-risk, read-only use cases and expand automation only after validating the insights and recommendations produced.
Andrea Lineham, CMO at Supermetrics, told CX Today that CX marketing teams are looking to apply AI more consistently across recurring tasks.
“The driver is repetition," she said.
"CX marketing teams ask the same handful of questions constantly: Where are customers dropping out? Which audience is becoming more expensive to reach? What should we test next?”
The End of Prompt-Only AI
For marketing, the role of AI is shifting beyond one-off prompts due to its inefficiency in campaigns and customer journeys.
Despite its success in demonstrating what it could provide CX, teams now need consistent answers to understand where customers are dropping out, how campaigns are performing, and what should be tested next.
In fact, “the real value comes when a prompt becomes part of a repeatable workflow,” notes Lineham.
A workflow can provide the AI with consistent instructions and relevant customer and campaign context, offering access to the necessary data and business rules needed to interpret information.
From here, it can identify emerging customer segments and highlight campaign issues, recommending areas for further investigation.
Lineham emphasized:
“A workflow does that consistency automatically, so the marketer’s time goes into judging the recommendation, not re-writing the prompt that produced it."
By ensuring consistent repeated analysis, this makes it easier to identify genuine changes in customer behavior, while still leaving human marketers responsible for final approval.
With AI assistants increasingly becoming part of repeatable CX marketing workflows, the choice of tool depends on the tasks marketers need to perform and the systems they already use.
ChatGPT: A Flexible Starting Point
In regard to flexibilty, ChatGPT offers a strong starting point for CX marketing teams that are experimenting with AI or need support across everyday tasks.
“It's useful for campaign concepts, research summaries, message variations, customer-experience briefs, and basic analysis,” Lineham explained.
For marketers working across different areas, this tool offers versatility when moving between content, research, and analysis, providing accessibility and building familiarity with AI before developing more structured workflows.
However, the tool's limitations mean the quality of analysis depends on the quality of information given, meaning a static file may no longer reflect current behavior, while a governed connection to campaign data could provide more relevant signals.
To ensure marketers make the most of this tool, ChatGPT should support decision-making by relying on clear guidelines and human review when the customer-facing experience is affected.
Claude for High-Context Marketing Work
For tasks requiring complex context and a higher level of coherence across a longer piece of analysis or writing, Claude may be more suitable for marketers.
Lineham noted:
“Claude is well suited to work that involves substantial context and where the quality and coherence of the output matter.”
This can be useful for analyzing feedback across channels, examining NPS or CSAT trends, identifying which segments affect satisfaction, and turning those findings into practical recommendations.
In fact, Anthropic's latest text watermarking announcement also offers brands transparency around AI-generated content by indicating the likelihood Claude was involved in creating it, supporting clearer internal governance and assessment into whether AI-generated content has been used.
