Finds relevant keywords
Looks for the searches with real volume where your site has no page yet.
| Keyword | Monthly searches |
|---|---|
| outcome harness for ai agents | 1,300 |
| ai agent kpi tracking | 880 |
| agent experiment loop | 590 |
| measure ai agent results | 320 |
How the agent works
What it does on your site through the deal window. Nothing goes live until you approve it.
Actions the agent will take
Matches titles & descriptions
Writes the title and description against the search query and the surrounding results.
example.com › blog › agent-loops
What an agent loop is, and why most of them stall
example.com › outcome-deals
Outcome Deals — pay only for the traffic we add
Set the target, pay for what we hit. Connect Search Console and see the offer before you commit.
example.com › docs › outcome
Outcome docs: levers, hypotheses, and verdicts
Creates blogs & pages
Builds pages for the gaps, around the searches they need to answer.
Changes existing content
Rewrites page content to match the answer the user came for.
The search
“how to measure what an ai agent achieved”
- Names the number it moves
- Shows the method, step by step
- Opens with a product pitch
And many more actions, chosen by what the outcome needs next.
It works every day. Nothing goes live without you.
Here’s what one day with the agent looks like.
- 01
It runs on its own
Once a day, every day of the deal window. No prompt needed.
Autopilot
Run 6 finished, 9:02Next run tomorrowExample
- 02
It explains every change
Before it changes anything, it writes down what should improve and by when.
Expected result/guides/espresso-beansA title that names “best espresso beans” should bring more clicks within 14 days.
Written before the change
Example
- 03
It asks before it publishes
Every change waits in your Changes tab. Approve it and it goes live. Where it can’t publish, you get a hand-off to paste.
Waiting for youWordPress · Edit pageEspresso Beans | Harbor & Pine Coffee
The 9 Best Coffee Beans for Espresso at Home
ApproveRejectExample
- 04
It reports back
An email after every run. When it needs you, it asks, and keeps working on the rest.
Outcome Agent
Harbor & Pine has a question: Which beans lead?
Two product pages compete for “espresso beans”. Which one should rank?
Single originHouse blendOr answer in your own words
Example
- 05
It takes direction
Every run is a chat. Read its reasoning, steer it mid-run, or start a run yourself.
Rewriting titles on four guide pages.
Skip the brewing guide. We’re redoing it.
Done. Three pages, brewing guide left alone.
Example
- 06
It checks what worked
When the numbers come in, it marks each change as worked, didn’t, or too early to tell. Then it does more of what worked.
Worked/guides/espresso-beansClicks before
212
After
297
Next: the same fix on similar pages
Example
Connect Search Console
Pick a website you own.
Review the deal
The target, the cost, and the terms, before you accept.
Run the loop
The AI agent runs actions to achieve the outcome.
Settle on the result
We measure and refund what we missed.