AI marketing content can fail when a draft sounds persuasive but gives the audience too little useful information. Common problems include generic messages, unsupported claims, inconsistent branding, inaccurate product visuals, and a weak connection between the content and its next step.
These problems show up in blogs, landing pages, ads, emails, and explainer videos. You can address them by supplying better source material, choosing one job for each piece, and reviewing the finished work against the real product. The examples below show what to change and how to check the result.
1. The message could describe almost any business
A line such as “Transform the way you work with our innovative platform” leaves the reader to work out what the product does. A vague brief gives a writing tool little reason to choose a specific buyer, problem, or workflow.
Give the draft a situation to explain. Identify who is using the product, what they are trying to do, what gets in the way, and which feature helps. Include words customers use in approved research or support notes, with personal details removed.
To test the opening, replace your product name with the name of an unrelated business. If the sentence still fits, add a concrete action or detail. A project manager assigning feedback to a teammate is easier to picture than a platform “empowering collaboration.”
2. Confident claims arrive without evidence
Generative AI can produce convincing statements that are inaccurate. NIST describes this behavior as confabulation, including false information and responses that contradict their source material. In marketing, that makes a product benefit, statistic, customer quote, or integration worth checking before it reaches the page.
Read NIST’s Generative AI Profile, including its discussion of confabulation
Prepare a short list of approved claims with a source for each one. A product feature can link to current documentation. A customer quotation needs the approved wording and attribution. A performance figure needs its original measurement, context, and date.
When the evidence is missing, describe what the product demonstrably does. Keep the same standard for a headline, voiceover, caption, and sales email. A number repeated across several assets still needs one verifiable source.
3. The brand changes between assets
An article may sound formal while its matching ad sounds playful. A generated character may change proportions between shots, or a set of illustrations may drift away from the brand palette. Individually attractive assets can still feel disconnected when viewed together.
Make a compact reference pack with approved colors, type, character views, two sample paragraphs, and a few examples of acceptable phrasing. Give each asset a clear role within the campaign. Review the set together so differences are visible.
For generated visuals, leave room for iteration. Runway explains that its models interpret prompts and references, so reaching the intended result can take adjustments. Use an approved frame to guide the next attempt and check continuity throughout the movement.
Read Runway’s guidance on generations that differ from the prompt
4. A polished visual misrepresents the product
A software demo needs screens and actions that match the product buyers will use. If a generated scene introduces a nonexistent button, changes a feature name, or shows a task happening in the wrong order, it creates an inaccurate expectation.
Use an approved recording or interface artwork for the steps that need to be exact. Keep labels and calls to action editable where practical. Generated settings and character scenes can introduce the problem, while the product sequence shows the actual workflow.
Ask the product owner to review the sequence at normal speed. Check that the viewer can see the relevant action and its result. A small screen detail can carry the main point of a demo.
See our guide to explaining a complex SaaS product with video
5. The video has attractive shots but an unclear story
A sequence can lose its meaning when each scene is generated as a separate idea. The opening introduces one problem, the middle lists several features, and the final invitation asks for a step the video has barely explained.
Write a storyboard before finishing the shots. For each scene, record the spoken idea, what the viewer sees, and why that scene belongs at that moment. Read the sequence aloud while showing rough visuals. Remove repeated points and add any missing step.
Give important actions enough time on screen. If the narration describes an approval, show who approves what and what changes afterward. That makes the connection between the promise and the product visible.
Explore what makes an AI explainer video ready to publish
6. SEO content repeats familiar advice without answering the query
A page can mention the right topic repeatedly and still leave the visitor’s question unresolved. For someone searching for AI marketing content mistakes, broad advice to “improve quality” needs a diagnosis, an example, and a way to review the revision.
Google’s guidance asks creators to focus on accuracy, quality, and relevance when using generative AI. It also warns that generating many pages without adding value for users may violate its policy on scaled content abuse.
Read Google’s guidance on generative AI content for websites
Choose a specific question for the page and answer it near the beginning. Add material readers can apply, such as an annotated example, a decision checklist, a process diagram, or documented findings from your own work. Use a clear title, descriptive headings, and links that help readers take the next step.
Google’s content quality questions include whether a page provides original information or analysis and adds value beyond its sources. Use those questions during editing. If a section simply repeats a point already covered, replace it with a useful example or remove it.
Use Google’s questions for assessing helpful content
7. The next step asks for too much or leads somewhere confusing
An introductory video may ask a new visitor to make a purchase before explaining how the service fits their needs. An email may promise a product tour, then send the reader to a homepage where the tour is hard to find.
Choose a next step that follows from the content. A feature walkthrough could lead to the relevant trial screen. An early introduction could lead to examples of the work or a short project inquiry. Match the button wording, destination, and information requested.
Open the destination on a phone and follow the action yourself. Check that the promised material is easy to find and that the form asks for information the visitor can reasonably provide.
An example of fixing AI-generated marketing copy
Consider a fictional SaaS tool that collects client feedback, assigns comments, and tracks approvals. This illustrative edit shows how approved product details can give the message a clearer purpose.
The first draft
Our revolutionary platform eliminates every project delay and transforms team productivity. Experience the future of collaboration today.
The draft makes an absolute promise and gives the reader little information about the workflow. It could describe many tools, and the invitation leaves the next step unclear.
A more useful revision
Collect client feedback in one project view, assign each comment to a teammate, and see which changes are approved. Watch the feedback workflow before you start a trial.
The revision names the task, describes observable actions, and offers a relevant next step. Its feature statements would still need a product check. In a companion video, those same three actions can guide the storyboard.
Plan the sequence with our explainer video script guide
A reusable brief for better AI marketing content
Before drafting, fill in a brief like this with approved information. It gives the writer or production team a shared starting point.
Create a [format] for [specific audience] who need to [task]. Explain how [product or service] helps through [verified workflow]. Use [approved sources] for factual claims and flag anything that needs confirmation. Follow [brand examples and visual references]. The main message is [one sentence]. End with [next step] leading to [destination].
Ask for an outline or storyboard first. Reviewing the sequence while it is still easy to change can prevent an unclear idea from being repeated across a blog, ad, email, and video.
Review the complete piece before publishing
- Audience and purpose. Can the intended reader or viewer recognize the situation and understand the main message?
- Evidence. Can you trace each feature, statistic, quotation, and promise to an approved source?
- Brand and product accuracy. Do the language, visuals, screens, and actions fit the business?
- Reading and viewing experience. Are the copy, on-screen text, captions, and narration clear on the intended device?
- Next step. Does the invitation lead to the material or action it promises?
If your next campaign includes an animated explainer, product demo, or motion graphics video, send Anigem Studio the audience, approved product information, and the workflow you want to show. We can use those details to discuss the script, visual direction, and production scope.
Discuss your marketing video with Anigem Studio
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