AI in Marketing: Practical Lessons from a 2025 Survey

AI in Marketing: Lessons from a 2025 Survey

Search Engine Journal’s 2025 research collected responses from 155 US-based marketing decision-makers. This article revisits that historical snapshot, then considers practical questions for teams evaluating their own use of AI. It is not a description of current market-wide adoption.

The central operational question is how AI can support skilled people while preserving accuracy, judgement and a recognisable brand voice.

The discussion follows the original article’s main themes: tool selection, content workflows, outcomes, limitations and investment decisions. The practical recommendations below are editorial interpretation, rather than additional survey findings.

Use AI to Support Marketing Judgement

AI can assist with tasks such as preparing drafts, exploring alternatives and organising information. That does not remove responsibility for deciding what the work needs to achieve. A useful division of labour gives tools a defined task while people retain responsibility for the brief, interpretation, evidence and final approval. Saving production time matters only when the resulting work remains appropriate and dependable.

Choose Tools Around the Work

Tool popularity is a starting point for investigation, not a procurement strategy. The 2025 material discusses ChatGPT alongside other assistants. For a working team, compare tools against recurring tasks, review requirements, data handling and integration needs rather than treating adoption as evidence of fit.
Gemini: evaluate against a defined task
Perplexity: inspect the evidence behind an answer
Claude: assess output quality within your workflow
A collection of tools is useful only when its responsibilities are clear. Document which tool supports which task, who reviews its output and what information it may process. Avoid adding overlapping subscriptions without establishing a benefit.

Content Was a Prominent Area of Reported Value

Among the respondents, content work stood out as a practical application. The published summary reported these areas of value:
Content creation: 64.5%
Content optimisation: 43.9%
Idea generation: 43.9%
For a content team, these findings suggest a useful place to run a bounded trial. Compare a defined workflow with and without assistance, and review the result for accuracy, relevance and editorial quality. A faster draft should not automatically be counted as a better published article.

Separate Time Savings from Business Results

Time savings were cited by 76.8% of respondents. Operational efficiency was a clearer finding than improvements in outcomes directly connected with return on investment.
Keep those two levels distinct when evaluating a project. Track the effort required to produce an acceptable output, then separately assess whether the finished work contributes to qualified enquiries, sales or another stated objective.

Build Review into the Workflow

The published summary reported that 54.2% identified output quality as a major limitation. This is a reason to establish review requirements rather than assume a fluent draft is ready to publish.
A practical review should consider:
Context and important qualifications
The amount of manual checking required
Appropriate handling of confidential information
Consistency with the intended brand voice
Decide who is responsible for each check. Review should be proportionate to the task, with clear ownership rather than a general expectation that someone will notice errors.

Connect Investment with a Demonstrated Need

When planning expenditure, begin with the workflow that needs improvement. Estimate its volume, the time currently spent on it and the standard an acceptable result must meet. A trial can then reveal whether a tool, integration or training investment addresses that need.
Team design should follow the evidence from that work. Map responsibilities before changing roles, and distinguish automation of a task from replacement of the judgement surrounding it. The right staffing decision depends on the organisation rather than on an assumption about what other teams are doing.

Practical Steps for Marketing Teams

The following actions translate the discussion into a small implementation plan. They are recommendations for evaluation, rather than claims that one approach guarantees success.
Invest in relevant skills: teach the team how to write useful briefs, examine outputs, verify evidence and apply the tools to a defined process. Review training needs before assuming another tool will solve the problem.

Set review checkpoints: define what must be checked, by whom and before which stage of publication or use.
Use business knowledge responsibly: approved insights from your own work can make content more specific. Use anonymised or appropriately authorised material, and check the data-handling arrangements before sending customer or commercial information to a tool.
Keep human creative responsibility: use assistance to explore and prepare work, while retaining editorial ownership of the idea, tone and relationship with the audience.
Establish clear working rules: document permitted uses, review responsibilities, source checks and escalation when an output is uncertain. Address rights and privacy requirements through the organisation’s appropriate procedures.

Questions to Keep Reviewing

Rather than presenting predictions as settled outcomes, revisit these questions as your workflow develops:
Content volume and quality: is additional output useful to the audience, or is it adding repetition and review work without a clear purpose?
Capacity in smaller teams: which tasks genuinely become easier, and how can the recovered time be used for higher-value work?
Changing responsibilities: which routine tasks can be assisted, and which decisions still require specialist experience and accountability?
Search and discovery: how do people find and use your content, and what evidence supports any change to the publishing plan? Test assumptions instead of redesigning the strategy around a prediction alone.

Conclusion

The 2025 survey is a useful historical reference, with clear limits: a small, self-reported US sample cannot represent every market or establish a causal effect on performance. Use it to formulate questions, then evaluate your own workflows. A practical approach combines a defined task, appropriate information, skilled review and measures that distinguish production efficiency from customer and business value.

Editorial Takeaways

Start with the decision, then choose the tool:
A clear objective makes it easier to decide which work to delegate to AI and which aspects need experienced human judgement. Technical fluency cannot compensate for an undefined problem.

Review the full cost of the output:
Include briefing, checking, corrections and maintenance when evaluating efficiency. A rapid first draft offers limited value if it creates disproportionate review work or weakens the usefulness of the finished piece.

Source and Context

This article revisits Search Engine Journal’s 2025 State of AI in Marketing survey. Practical recommendations are editorial interpretation; unverified attributed quotations from the Persian source are not reproduced.

Read the original 2025 source