AI for marketing and content

AI has made it cheap to produce marketing content, which also means a flood of forgettable content. These answers cover how to use AI in marketing so it brings in customers, not just more posts.

7 questions · Updated 7 October 2026

1. Does AI-generated content hurt SEO?

   Not by itself. Google has said it rewards helpful, reliable content however it is produced, and penalises content made mainly to manipulate rankings, including mass-produced AI pages. AI-assisted content that is accurate, original, reviewed by someone who knows the subject and genuinely useful can rank well. Thin, generic AI text at scale is the risk.

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2. How can a business use AI to create marketing content?

   Use AI to turn your expertise into content at volume: drafting articles from expert interviews, cutting long videos into short clips, writing captions and ad variations, producing on-brand images, and repurposing one idea across channels. Keep people in charge of the ideas, facts and final approval, because audiences notice generic content.

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3. Can AI make short-form videos for social media?

   Yes. AI tools can cut long recordings into short clips with captions, generate b-roll and animated graphics, create voice-overs, and increasingly generate full video scenes from text. For most businesses, the best results still come from real people and products filmed simply, with AI handling editing, captions and versions for each platform.

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4. How can AI improve Google Ads and Meta Ads for a small business?

   AI helps most with the work around the ads: researching search terms, writing many ad variations, spotting wasted spend in search-term reports, building landing pages, and connecting leads back to the campaigns that produced them. The platforms' own automated bidding works best when it receives accurate conversion data, which is often the real gap.

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5. How do we keep AI-written content on brand?

   Write a brand voice guide the AI can follow: who you are writing for, tone, words you use and avoid, formatting rules and examples of good and bad copy. Give it your approved facts, such as services, claims and proof points, and have a person review output against the guide until it is consistently right.

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6. Can AI help us get more Google reviews?

   Yes, by making sure every happy customer is asked at the right moment. Automations can send a review request after a job is completed, follow up once, and alert you to unhappy feedback so you can resolve it. AI can also draft personal replies to every review. Never buy reviews or offer incentives that breach Google's policies.

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7. Should we use AI for marketing or hire a marketing executive?

   AI can now handle much of a marketing executive's production work: content drafts, video editing, social scheduling, ad variations and reporting. What it cannot supply is strategy, judgement about your market and the relationships behind partnerships and PR. Many SMEs combine AI production with a strategist, in-house or outsourced, instead of a full in-house team.

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