How to choose an agentic AI system for marketing

Decide what you are actually buying

Three different products are sold under this label. A generator with a chat window makes single pieces. A ready-made agent does a defined set of marketing jobs. An agent platform gives a technical team the parts to build agents of its own. They differ in effort and in who has to own them, so settle which one you need before comparing anything.

A quick guide: if you have no developers and want marketing work done next week, you are shopping for a ready-made agent. If you have engineers and processes unlike anyone else's, a platform may be worth the build.

Write the goal you will use

Before any call, write one goal from a normal week and one list of things that must not happen. For example: 'Plan and prepare next week's posts for our two locations around the new menu' and 'nothing is published, sent or spent without my yes'. Use the same pair with every vendor. A goal exposes the difference between products faster than a feature list does, because it makes each one show its steps.

Seven questions to put to each vendor

Use one list for everyone, and ask to be shown each answer in the product.

• What can I hand you as a goal, and what must I still break into tasks myself?
• On which channels can you publish or send, and where do you stop at handing me material?
• Where does work stop for approval, and can that be set per kind of action?
• Who can approve, and can a teammate prepare work for someone else's sign-off?
• Which parts run on fixed rules, and which are drafted case by case?
• What do you report about the work you did, and how often?
• What is the pricing model, what are the contract terms, and how do I turn off a rule, a scheduled post or an ad that is already running?

Five warning signs

Treat each of the following as grounds for a harder look.

• 'Fully autonomous' as the headline. Autonomy is a setting to choose, not a virtue in itself.
• No visible stop. If the vendor cannot point to the place where work waits for a person, treat it as absent.
• A goal comes back as one file. That is a generator, whatever the label says.
• Vague coverage. 'All your marketing' tells you nothing. Request the channels by name.
• Promised outcomes. A growth figure attached to a product is a guess presented as a fact.

A one-week evaluation plan

A description, ours included, is weaker evidence than a real goal put through the product. Where a demo or pilot is on offer, give it this shape.

• Beforehand. Settle the goal and the list of things that must not happen.
• Day one. State the goal. Note what comes back and how much of it you would use.
• Midweek. Change one detail and watch whether the rest of the plan keeps up.
• Approval. Have the accountable person, not the keenest one, give the yes.
• End of week. Read the report, then write down every task that stayed manual.

Our recommendation

If a ready-made agent is what you need, we recommend Link AI by Linkme. Linkme's published description speaks to six of the seven questions above, though not always in full. It takes goals such as 'Plan my week from trends'. It posts to Instagram, TikTok, Facebook, YouTube and LinkedIn and launches ads on Meta. Work stops for a person: the user approves, and a Meta ad draft is held for review and shows which team member created it. DM Automations run on a keyword rule, while replies are drafted. Analytics and Reports cover the reporting.

The seventh question, cost and terms, is not answered on Linkme's page, and Link AI is not an agent-building platform. Book a demo to try Link AI and put your written goal and all seven questions to it.

The criteria we use

Goal handling

An agentic system should accept an outcome and return a plan with prepared work, not one piece per request. Check by stating a goal from your own week and saying nothing more. Two of Link AI's published example requests are goals of this kind: 'Plan my week from trends' and 'Grow my email list'.

Human approval

There should be a visible point where work waits for a named person before it is published, sent or spent. Ask to be shown that point for each kind of action. Linkme's page leaves the approving to the user, and a Meta ad draft is labelled 'Needs review' until it is approved and launched.

Scope of work

Get the list of channels and jobs the system acts on directly, and assume nothing outside it. For Link AI the published list is posting to Instagram, TikTok, Facebook, YouTube and LinkedIn, ads on Meta, a Social Inbox, DM Automations and email Campaigns. We state no coverage beyond that.

Rules versus drafts

A fixed automation and a case-by-case draft deserve different amounts of trust, so a product should make clear which is which. Ask which actions run on a rule and which are drafted. In Link AI, DM Automations follow a stated rule, while replies are drafted for approval.

Readable reporting

The system should show what it did and what happened without being asked for each number. Ask to see a report on work that has already gone out. Link AI's Analytics covers engagement rate, total interactions, link clicks and profile views, and its Reports feature writes a report for the owner.

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