Reader persona: a founder, marketer, growth operator, or product manager who ships landing page changes but does not have a dedicated QA team reviewing every campaign page.
Job to be done: use an AI agent to run a structured landing page QA pass before publishing, promoting, or sending traffic to a page.
Most landing page problems are not strategic.
They are small, avoidable mistakes:
- the CTA points to the wrong place
- the pricing page opens a 404
- mobile copy wraps badly
- the form label is confusing
- the hero claim does not match the ad
- the page says “book a demo” but the button says “get started”
- a screenshot is outdated
- the social proof is buried
- the signup flow asks for too much too early
Humans miss these because everyone is rushing to launch.
An AI agent can help by running the same landing page QA checklist every time.
The goal is not to let the agent rewrite the page automatically. The goal is to catch conversion leaks before paid traffic, social posts, newsletters, or sales outreach amplify them.
The page set
Start with a small set of URLs.
Create a file called landing-page-qa.md:
# Landing page QA pass
Campaign: May product workflow campaign
Date: 2026-05-14
Pages to check:
- Homepage: https://example.com/
- Pricing: https://example.com/pricing
- Signup: https://example.com/signup
- Blog post: https://example.com/blog/example-post
Primary CTA:
Start in Telegram
Expected CTA destination:
https://t.me/example_bot
Audience:
Non-technical operators who want an AI assistant to help with research, marketing, sales discovery, or business workflows.
Do not submit any forms.This gives the agent enough context to judge the page against intent, not just syntax.
The agent prompt
Use this prompt:
Run a landing page QA pass using the URLs and campaign context in landing-page-qa.md.
Rules:
- Inspect public pages only.
- Do not log in.
- Do not submit forms.
- Do not purchase, subscribe, cancel, comment, send messages, or change account data.
- You may click navigation links and CTA links only to verify destination.
- If a click would submit data or trigger an external visible action, stop and ask.
- Check desktop first. If browser tooling supports it, also check a narrow mobile viewport.
Return a report with:
1. Overall launch readiness: green / yellow / red
2. Blocking issues
3. CTA issues
4. Copy-message mismatch
5. Trust and proof gaps
6. Mobile/readability issues
7. Links checked
8. Recommended fixes in priority orderThis turns QA into a repeatable operator workflow.
It also makes the agent’s boundary explicit: verify, report, stop before external action.
What to check
A useful landing page QA pass should inspect six areas.
1. Message match
The page should match the promise that brings visitors there.
Ask the agent to compare:
- campaign angle
- hero headline
- subheadline
- CTA text
- first screenshot or demo section
- audience language
Example issue:
Message mismatch: Campaign promises "AI agent for customer research," but hero headline says "automate your browser." Consider adding the customer research use case in the first screen.This is a marketing issue, not a browser issue.
The agent can catch it because it can read the campaign brief and the page together.
2. CTA consistency
CTA problems are common.
Ask the agent to record:
- visible CTA text
- destination URL
- whether the destination opens
- whether the CTA matches the campaign goal
- whether there are competing CTAs
Example:
CTA issue: Hero button says "Get started" but footer button says "Join waitlist." Both point to the Telegram bot. Use one action phrase for this campaign.For ClawMama-style campaigns, this matters because the primary CTA is often a Telegram bot. The page should make that transition feel intentional, not surprising.
3. First-screen clarity
The first screen should answer:
- What is this?
- Who is it for?
- What can I do next?
- Why should I trust it?
Ask the agent to summarize the first screen in one sentence:
Based only on the first screen, what does this product do and who is it for?If the answer is vague, the page is not ready.
Example output:
First-screen clarity: yellow. The page communicates "AI assistant" but not the specific operator workflows. Add examples such as customer research, sales prep, and weekly marketing summaries above the fold.4. Proof and risk reducers
Visitors need proof, especially for agent products.
Ask the agent to look for:
- examples
- screenshots
- workflow demos
- pricing clarity
- permission boundaries
- approval model
- privacy expectations
- support or contact path
For AI agents, approval language is a trust feature.
Example:
Trust gap: The page says the agent can browse websites, but it does not explain when it asks before posting, submitting forms, or changing accounts. Add a short "you approve external actions" note near the CTA.This kind of note can improve conversion because it reduces fear.
5. Link and route checks
The agent should check obvious links:
- header nav
- primary CTA
- pricing
- docs
- blog links
- social links
- terms/privacy if present
Use a simple table:
| Link text | Destination | Result | Notes |
| --- | --- | --- | --- |
| Start in Telegram | https://t.me/example_bot | OK | Opens Telegram bot link |
| Pricing | /pricing | OK | Loads pricing page |
| Docs | /docs | Broken | 404 |Do not ask the agent to crawl the entire site unless that is the task. For campaign QA, check the conversion path, not every page.
6. Mobile readability
If the browser tool can resize or emulate a narrow viewport, ask for a mobile pass.
Check:
- headline wrapping
- CTA visibility
- sticky elements covering content
- forms too low on page
- horizontal scrolling
- tiny text
- screenshots that become unreadable
Example:
Mobile issue: Primary CTA falls below two large screenshots on a 390px-wide viewport. Move one CTA directly under the first paragraph.Mobile issues often have a large conversion impact and are easy to miss from a desktop workflow.
Output format
Ask the agent for a report that a busy operator can act on:
# Landing page QA report
Readiness: Yellow
## Blocking issues
- Docs link in header returns 404.
## High-priority fixes
1. Make hero CTA and footer CTA use the same action phrase.
2. Add approval/safety copy near the browser automation claim.
3. Move mobile CTA higher.
## Evidence
- Homepage title: ...
- Hero CTA: ...
- CTA destination: ...
- Pricing page loaded: yes
## Safe next action
Fix the broken docs link before publishing campaign traffic.The report should end with one recommended next action.
Not ten. One.
Approval rules
Landing page QA can cross into external action if you are not careful.
Use these rules:
| Agent action | Default |
|---|---|
| Open public page | Allowed |
| Click navigation link | Allowed |
| Click CTA to verify destination | Allowed if no form submission |
| Fill test form | Ask unless staging |
| Submit form | Ask |
| Open Telegram bot | Allowed to verify link destination, but do not send message |
| Send message to bot | Ask |
| Change CMS content | Ask |
| Publish page | Ask |
This keeps the workflow safe while still useful.
A recurring weekly version
You can run this as a weekly growth hygiene task:
Every Friday, run a landing page QA pass on:
- homepage
- pricing page
- latest blog post
- signup path
Compare against this week's main campaign angle.
Return only yellow/red issues and the top three fixes.
Do not change anything.This is especially useful for small teams where copy, product, and campaigns change quickly.
How this fits ClawMama
ClawMama is a good home for this workflow because the operator can trigger it conversationally:
Check the homepage, pricing page, and latest launch post before I post on X.
Do not submit forms or send messages.An OpenClaw/Hermes-style agent can combine browser inspection, screenshots, page text, and a structured QA report. The human stays in control of external actions like publishing, submitting forms, or posting on social.
For a first run, use public pages only. New ClawMama users get $2 credits and access to the latest ChatGPT model, which is enough to test a small QA pass on a few pages.
Bottom line
A landing page QA pass is a high-leverage agent workflow because it is:
- repeatable
- easy to review
- low-risk when scoped to public pages
- directly tied to conversion
- useful before every launch
Do not wait for a big redesign.
Give the agent three URLs, the campaign promise, the expected CTA, and clear stop rules.
It will catch the boring mistakes that cost signups.