Project Description
We’re working on a system that helps SEOs move from explaining results → to showing outcomes.
Instead of long SEO proposals, we’re focused on one idea:
“What does the Google result look like after the work is done?”
What this is about?
Most SEO proposals today explain actions:
- backlinks
- content strategy
- technical fixes
But clients usually respond better when they can see the outcome, not the process.
We’ve been testing a different approach:
simulating what a future SERP could look like before changes happen.
Example of what we mean
Instead of saying:
“We will improve rankings”
We show:
- what the SERP could look like in the future
- how brand narratives shift across results
- how visibility of positive/negative content changes
Some teams now pitch it like:
“This is your future Google page.”
What we’ve observed
- Traditional SEO proposals focus on activities
- Clients react more strongly to visible outcomes
- “Before vs projected SERP” closes decisions faster than explanations
The challenge is not ranking.
It’s showing the outcome before it happens.
What we need:
We are collecting structured data to improve this system.
Your task is simple:
help us map real SERPs and brand situations into structured interpretation data.
Data format (simple)
You will work with lists like:
- Brand / company name
- Associated SERP perception (positive / neutral / negative mix)
- Key visible signals (news, reviews, forums, articles)
Example:
- Brand A → mixed reputation (news + reviews + forum complaints)
- Brand B → strong positive visibility
- Brand C → unstable narrative (conflicting sources)
We are not collecting keyword rankings.
We are collecting:
how brands and SERPs feel in real search results.
Core task
For each brand list:
- identify overall SERP sentiment structure
- highlight dominant narrative (positive / negative / mixed)
- note what is shaping perception (news, reviews, authority pages, etc.)
Data sourcing
You are expected to:
- find or propose your own SERP examples
- ensure they are real and verifiable
- structure them in a consistent format
There is no fixed dataset provided.
We rely on contributors to build it from real-world SERPs.
Ideal contributor
This is not pure SEO execution work.
We are looking for people who:
- understand how SERPs influence perception
- can think beyond rankings
- can structure messy information into clear patterns