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There are thousands of AI tools for marketers, and most of them you will never need. This is the short list we actually use at AIEK, organised by the job each one does rather than by hype. Pick the one tool that relieves your biggest bottleneck and build from there.
AI ad creative
AdCreative.ai generates on-brand banners, product visuals, and copy at the volume that real testing demands. For most small teams, creative is the bottleneck, so this is where we start. Pencil is a strong alternative that predicts which creative is likely to perform.
AI video ads
Creatify turns a product link into short-form video ads in minutes — invaluable now that video carries so much of paid social.
AI copy
AdCreative’s copy AI drafts conversion-tuned ad copy across channels. Whatever tool you use, edit the output against the principles in ad copy that converts.
Landing pages
Unbounce builds and tests high-converting landing pages — and since landing pages decide whether your ads succeed, this is rarely optional. See our full Unbounce review for detail.
Decks and visuals
Gamma spins up polished pitch decks and one-pagers from a prompt — handy for client work and internal buy-in. More in our Gamma review.
Email and owned audience
Kit (ConvertKit) is the owned-audience channel that makes paid traffic pay off long after the click. Read our Kit review.
Monitoring
Brand24 tracks the ripple effect of your campaigns across the web — see the Brand24 review.
How to choose
Do not buy the stack at once. Identify your biggest constraint, add one tool, measure the impact against your paid media metrics over two weeks, then expand. A tool only earns its place if it moves a number that matters.
How to sequence your first three tools
The mistake most marketers make is buying a bundle of tools at once and using none of them well. A better approach is to sequence adoption around your actual bottleneck. If creative production is what slows you down, start with an AI ad creative tool and give it a full month before adding anything else. Once that part of the workflow is genuinely faster, add a landing page tool so the traffic your new creative earns has somewhere strong to land. Only then layer in measurement and monitoring, because those tools are most useful once you have enough volume to produce meaningful signal. Adopting in this order means each tool has a clear job before the next one arrives, and you avoid paying for subscriptions you never fully switch on.
Common mistakes when building an AI stack
- Chasing features over fit. A tool with a hundred features you will never use is worse than a focused tool that solves one job cleanly. Judge tools by the job they remove from your week, not by their feature list.
- Ignoring the export step. AI tools are only useful if their output flows into the rest of your workflow. Before committing, check that a tool exports in the formats your ad platforms and CMS actually accept.
- Skipping the human review. AI output is a strong first draft, not a finished asset. The teams who win with these tools treat them as a way to get to review faster, not a way to skip review entirely.
- Forgetting the compounding cost. Five small subscriptions quietly become a large monthly bill. Audit your stack quarterly and cut anything that has not earned its place.
A realistic weekly workflow
Here is how these tools fit together in practice. On Monday, you brief your AI ad creative tool on the week’s angles and generate a batch of static and video variations. On Tuesday, you refine the strongest three with your copy tool and drop them onto a purpose-built landing page. Midweek, the ads go live and your monitoring tool starts collecting signal on what audiences respond to. By Friday, you review performance, retire anything below your cost-per-acquisition ceiling, and feed the winning angles back into next week’s brief. The AI does not replace the judgement in this loop — it simply lets you run the loop faster and more often, which is where the real advantage comes from.
Frequently asked questions
Do I need all of these tools to get started?
No. Most marketers get the majority of the benefit from one or two tools that address their biggest bottleneck. Start narrow and expand only when a tool has clearly paid for itself in time saved or performance gained.
Will AI tools replace a marketer?
They replace tasks, not judgement. The strategic decisions — who to target, what to say, when to scale and when to cut — still sit with you. AI tools simply compress the production time between those decisions, so you spend more of your week thinking and less of it waiting on assets.
How do I know if a tool is worth the subscription?
Track the hours it saves and the performance it moves over a full month. If a tool cannot point to either faster output or better results within that window, it is not earning its place in your stack, however impressive the demo looked.
Not ready to commit budget to any of this? Work out which parts of the stack you can cover for nothing first — we set that out in best free AI tools for digital marketing.