Use AI to expand your creative thinking—not outsource your judgment.

Specify the audience, buying situation, offer, available proof, channel and constraints. Include what the brand must not claim. Separate verified facts from assumptions and ask the model to flag gaps instead of filling them with invented statistics, testimonials or product capabilities.

For a new product campaign, a useful request might ask for three distinct ways to explain one approved benefit, each with an opening, a demonstration and an objection to address. A request for ‘a viral ad’ provides neither a meaningful strategy nor a reliable standard for reviewing the result.

Before sharing customer records, proprietary plans or unpublished assets, check the tool’s data-handling terms and your own permissions. Use the minimum information needed for the task. A public consumer tool should not automatically become the destination for confidential business material.

A dozen near-identical captions do not necessarily create a useful experiment. Ask for meaningfully different approaches to the same customer problem: demonstration-first, objection-first or use-case-first. Then select a small number that the team can execute and evaluate properly.

Keep a record of which variables changed. If the offer, format, audience and landing page all change at once, it becomes harder to interpret performance. Use the platform metrics to diagnose attention and response, then connect them to qualified actions and commercial outcomes.

For product imagery, inspect what the output actually depicts. Packaging, dimensions, materials, labels and use conditions can be altered by generation. A polished image that makes the product look different from what a customer receives is not a successful creative asset.

Review is not a final spell-check. Assign people to check the accuracy of claims, brand fit, product fidelity, accessibility and rights. Keep the source or approval behind every factual assertion available to the reviewer. If the team cannot verify a claim, remove or qualify it.

Synthetic spokespeople and AI-assisted influencer content deserve particular care. Do not create fictional customer experiences and present them as genuine testimony. Check likeness, voice, music and asset permissions, along with platform rules and applicable law. Clearly distinguish a fictional or synthetic persona when needed to avoid misleading the audience.

For actual creator endorsements, the FTC’s disclosure guidance still matters: a paid relationship or free product can be a material connection. A disclosure must be understandable and placed where the audience will notice it. AI production does not remove responsibility for the underlying advertising.

Google’s guidance for AI Overviews and AI Mode says the established SEO fundamentals remain relevant. There are no additional technical requirements or special optimizations required for these AI features. A page must be indexed and eligible to appear in Search with a snippet; eligibility does not guarantee inclusion.

For a brand, the practical work is to make accurate information easy to find and understand. Explain products and services clearly, answer real customer questions, maintain crawlable pages and ensure any structured data matches visible content. Avoid presenting a new acronym as proof that an agency can guarantee citations in AI answers.

Monitor relevant queries and business outcomes, but recognize the reporting limits. Google says traffic from its AI features is included in the overall Web search reporting in Search Console. That does not give you a separate, complete scoreboard for every AI interaction, and Google’s guidance should not be generalized to every other answer engine.

Choose a repeatable workflow where the team already knows what good work looks like. Record the current time and effort, define the review gate and test an AI-assisted version. Compare production effort, revision burden and the quality of the final approved work—not just how quickly the first draft appeared.

Keep what helps and discard what creates rework or risk. The goal is not to replace the person closest to the customer. It is to give that person better options, more time for judgment and a reliable process for turning an idea into something the brand can stand behind.