Should an AI agent landing page use the word autonomous?

Use it carefully, if at all. Autonomous tells a buyer the agent acts without them, which is exactly what many cautious buyers fear. It's usually stronger to describe what the agent does on its own and what it asks you to approve. If autonomy is your real advantage, show it in the task run and pair it with clear limits and an off switch.

How long should an AI agent landing page be?

As long as it takes to answer the buyer's questions, and no longer. A simple agent with one task and few integrations may need only the hero, task run, how it works, guardrails and a call to action. An agent that touches sensitive systems needs the full outline, because each extra section answers a real objection a security-minded buyer will raise.

Do I need a video for the task run?

Not necessarily. A short screen recording works well, but an interactive walkthrough, an animated sequence of real screenshots or a step log with timestamps can show the same thing. What matters is that the visitor sees the agent's input, its steps, the approval point and the finished output, and that you label honestly whether it's real use or a sandbox run.

Should the agent landing page be separate from the homepage?

Often yes. A homepage introduces the company and serves several audiences, while a landing page sells one agent and one task to one kind of buyer, usually for a campaign or launch. If you only have one agent and one audience, your homepage can follow this outline. Once you add agents or audiences, give each its own landing page.

What if the agent is still in beta?

Say so on the page. Label the task run as a beta or sandbox run, describe the guardrails you have today, and make the call to action a waitlist, design-partner slot or pilot rather than a self-serve signup. Buyers forgive an early product much faster than they forgive a page that overstated what it can do.

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AI Agent Startup Landing Page Template: Section by Section

A copyable AI agent landing page template, section by section: what the agent does, where humans approve, integrations, proof, and copy prompts for each block.

By Mehdi HassanNov 2, 20268 min read

The short answer

An AI agent landing page template should run in this order: a hero naming the task the agent completes, a replayable task run, how it works with human approval points, the integrations it touches, guardrails and permissions, proof, pricing, an FAQ and one call to action. Each section answers a doubt a cautious buyer has about delegating work.

Key takeaways

Name the job the agent finishes in the hero, not the model or the word autonomous.
Show where a human approves, because approval points are what make delegation feel safe.
List integrations with the actions the agent takes in each, such as read, draft or send.
Put guardrails and permissions on the page, not only in the security docs.
Use one primary call to action that matches how buyers try the agent: demo, sandbox or pilot.

Part of AI Startup Website Design: How to Sell a Product Your Visitor Doesn't Trust Yet

What sections should an AI agent landing page have?

An AI agent landing page needs ten sections, in an order that moves a skeptical buyer from "what does it do" to "is it safe to let it act" to "how do I start". The table below is the outline; the rest of this article gives each section's job and copy prompts you can fill in.

Agent pages differ from other AI pages because the product takes actions, not just answers. Our hub on AI startup website design covers how to sell AI to visitors who don't trust it yet. An agent page has to go further and show control: what the agent touches, what it can't do, and where a person stays in the loop.

Order	Section	The buyer's question it answers
1	Hero	What job does this agent finish, for whom?
2	Task run	Can I watch it do the job?
3	How it works	What are the steps, and where do I approve?
4	Integrations	Which of my tools does it touch, and how?
5	Guardrails and permissions	What can't it do, and can I stop it?
6	Use cases	Does it fit my team's workflow?
7	Proof	Who else trusts it, and with what?
8	Pricing	How is it billed when it does the work?
9	FAQ	What about data, errors and setup?
10	Final call to action	What's the safest way to try it?

How do you use this AI agent landing page template?

Use this AI agent landing page template as a copy outline first and a design brief second. Write every section's words before anyone opens Figma, because the hardest decisions on an agent page are about what you're willing to claim.

Pick one task
Choose the single job the page sells. An agent that does many things still needs one lead task the visitor can picture.
Fill the copy prompts
Answer each prompt below in plain sentences. Leave a gap where you don't have the material yet, rather than writing around it.
Collect the real assets
Record a real task run, list integrations with their actions, and write down your permission model. These carry more weight than any headline.
Cut what you can't support
Drop any section you can't back up yet. A missing proof section is better than a vague one.
Design and test
Lay out the page, then review it on a phone and with someone outside the team who doesn't know the product.

For a deeper look at the design side of agent sites, our guide to designing an AI agent website covers the replayable task run and guardrails in detail. This template is the copyable outline that sits on top of it.

What goes in the hero and task run?

The hero names the job the agent completes and who it's for; the task run directly below shows the agent doing that job. Together they answer the first question every visitor has in a few seconds.

Section 1: Hero

Headline prompt: "[Agent name] [verb]s your [task] so [role] can [outcome]." Name the finished job, not the technology.
Subhead prompt: "It [step one], [step two] and [step three], and asks you before it [risky action]."
Call to action prompt: "[Watch a task run] or [Start a sandbox trial]." One primary button.
Visual: a still from the task run, not an abstract orb or glowing gradient.

Our collection of AI product hero sections shows how teams put proof above the fold instead of claims.

Section 2: Task run

Prompt: "Here's [agent] handling a real [task] from [trigger] to [finished output]."
Show: the input, each step the agent takes, the point where it asks for approval, and the final result.
Label it honestly: say whether the run is a recording of real use, a sandbox run or a staged example.

How do you show how the agent works and where humans approve?

Show the agent's workflow as three to five numbered steps, and mark which steps need a human. Approval points are the heart of an agent landing page, because they turn "autonomous" from a risk into a choice.

Section 3: How it works

Prompt per step: "Step [n]: [agent] [action] using [data or tool]. [You approve / It runs on its own]."
Approval prompt: "You decide what needs sign-off. By default, [agent] asks before it [sends, pays, deletes, publishes]."
Undo prompt: "Every action is logged, and you can [review, reverse or pause] it from [place]."

Section 4: Integrations

List the tools the agent connects to, and for each one say what it does there. "Works with Salesforce" tells a buyer nothing; "reads deals and drafts follow-up notes in Salesforce, never edits stages" tells them exactly what they're agreeing to.

Integration	What the agent does	Access needed
[CRM]	[Reads records, drafts notes]	[Read, write drafts]
[Email]	[Drafts replies for approval]	[Read, draft only]
[Ticketing tool]	[Tags and routes tickets]	[Read, update fields]

How do you show guardrails, use cases and proof?

Guardrails say what the agent won't do, use cases show where it fits, and proof shows who already trusts it. Put all three on the landing page, because a buyer weighing delegation shouldn't have to dig through docs to find them.

Section 5: Guardrails and permissions

Prompt: "[Agent] can't [action], [action] or [action]. It only accesses [scope]."
Control prompt: "Pause or stop it at any time from [place]. Set limits on [spend, volume, recipients]."
Data prompt: "Your data is [stored where], [used or not used for training], and [deleted when]." Link to your trust page.

The detail behind that data line belongs on a dedicated AI trust page, which covers data, training and privacy answers.

Section 6: Use cases

Give two to four use cases by role, each written as before and after: "[Role] used to [manual task]. Now [agent] [does it], and they [review it]." Keep each one to a real workflow your product supports today.

Section 7: Proof

Use only proof you have: customer logos you have permission to show, quotes from named users, task counts from your own product data, security reviews you've passed. If you're pre-launch, a founder note explaining who you built it for is more honest than borrowed authority.

Hypothetical example: a filled-in template for a support triage agent

For example, suppose a seed-stage startup sells an agent that triages support tickets.

Hero: "Tria sorts your support queue before your team logs in, and asks before it replies to a customer." Task run: a recorded sandbox run showing 20 tickets tagged, three drafted replies waiting for approval, and one escalation.

Integrations: reads and tags tickets in the help desk; drafts replies only; never closes tickets. Guardrails: no refunds, no account changes, a daily cap on drafted replies. Use cases: support lead, solo founder handling support. Proof: two design-partner logos with permission and a founder note. CTA: "Try it on a sandbox queue."

This is an illustration of the template, not a client or a real product.

What goes in the pricing, FAQ and final call to action?

The last three sections remove the remaining objections: what it costs when the agent does the work, what happens when it gets something wrong, and the lowest-risk way to start.

Section 8: Pricing

Prompt: "Billed per [seat, task, outcome or usage tier]. [What counts as one unit]."
Limit prompt: "You set a [monthly cap], and [agent] stops when it's reached."

Section 9: FAQ

Answer the questions buyers ask a sales rep: what happens when the agent makes a mistake, how long setup takes on your side, who can see the data, and whether it works with their stack. Write each answer so it makes sense quoted on its own, which also helps AI search engines cite it, as our guide to answer-first page structure explains.

Section 10: Final call to action

Repeat the hero's primary action, and match it to how buyers really try agents: a sandbox, a recorded demo, or a scoped pilot. Avoid adding a second, competing button at the bottom.

How do you check your AI agent landing page before launch?

Check the page against the buyer's questions in the outline table. If any row has no answer on the page, that's the gap to fix before you spend on traffic.

Can a visitor say what job the agent finishes after reading only the hero?
Does the task run show at least one approval point and one finished output?
Does every integration say what the agent does in it?
Is there a clear statement of what the agent won't do?
Is every piece of proof real and permitted?
Is there one primary call to action, repeated, not three competing ones?

For a quick outside view, run the page through our free landing page grader, then compare it with the AI startup landing page examples we've collected.

Frequently asked questions

Should an AI agent landing page use the word autonomous?: Use it carefully, if at all. Autonomous tells a buyer the agent acts without them, which is exactly what many cautious buyers fear. It's usually stronger to describe what the agent does on its own and what it asks you to approve. If autonomy is your real advantage, show it in the task run and pair it with clear limits and an off switch.
How long should an AI agent landing page be?: As long as it takes to answer the buyer's questions, and no longer. A simple agent with one task and few integrations may need only the hero, task run, how it works, guardrails and a call to action. An agent that touches sensitive systems needs the full outline, because each extra section answers a real objection a security-minded buyer will raise.
Do I need a video for the task run?: Not necessarily. A short screen recording works well, but an interactive walkthrough, an animated sequence of real screenshots or a step log with timestamps can show the same thing. What matters is that the visitor sees the agent's input, its steps, the approval point and the finished output, and that you label honestly whether it's real use or a sandbox run.
Should the agent landing page be separate from the homepage?: Often yes. A homepage introduces the company and serves several audiences, while a landing page sells one agent and one task to one kind of buyer, usually for a campaign or launch. If you only have one agent and one audience, your homepage can follow this outline. Once you add agents or audiences, give each its own landing page.
What if the agent is still in beta?: Say so on the page. Label the task run as a beta or sandbox run, describe the guardrails you have today, and make the call to action a waitlist, design-partner slot or pilot rather than a self-serve signup. Buyers forgive an early product much faster than they forgive a page that overstated what it can do.

Mehdi Hassan · CEO & Design Director

Copywriter, designer and developer, and founder of Designify Studio. Over five years, 60+ projects across 14+ industries, for startups that have raised $300M+.

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