https://github.com/mizcausevic-dev/saas-help-center-geo-optimizer
Scores SaaS help center content for GEO readiness, answer structure, FAQ quality, and AI visibility opportunities.
https://github.com/mizcausevic-dev/saas-help-center-geo-optimizer
aeo analytics answer-engine-optimization content-ops customer-support fastapi generative-engine-optimization geo help-center python saas schema-org technical-seo
Last synced: 12 days ago
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Scores SaaS help center content for GEO readiness, answer structure, FAQ quality, and AI visibility opportunities.
- Host: GitHub
- URL: https://github.com/mizcausevic-dev/saas-help-center-geo-optimizer
- Owner: mizcausevic-dev
- Created: 2026-05-12T16:03:17.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2026-05-12T21:32:42.000Z (about 1 month ago)
- Last Synced: 2026-05-12T23:14:29.219Z (about 1 month ago)
- Topics: aeo, analytics, answer-engine-optimization, content-ops, customer-support, fastapi, generative-engine-optimization, geo, help-center, python, saas, schema-org, technical-seo
- Language: HTML
- Homepage: https://kineticgain.com/
- Size: 643 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
Awesome Lists containing this project
README
# SaaS Help Center GEO Optimizer
Score a SaaS help center for GEO readiness so support, marketing, and content
teams can turn support articles into AI-citable answers instead of generic
search leftovers.
## Why This Repo Is Good
- It sits directly at the intersection of marketing, SaaS, and analytics.
- It targets GEO and answer-engine visibility, not just old-school SEO.
- It produces a prioritized fix queue instead of vague “optimize your content” advice.
- It gives support and content teams a measurable way to improve AI answer coverage.
## What It Ships
- FastAPI scoring service
- realistic Zendesk-style help-center export
- GEO scoring for entity clarity, FAQ readiness, schema coverage, structure, citation value, and freshness
- article-level explanation surface
- real PNG screenshots generated from repo-owned proof pages
- tests and CI
## Screenshots
### Overview
### Fix Queue
### Evidence Lane
### API Summary
## Local Run
```powershell
cd saas-help-center-geo-optimizer
py -3.11 -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt
.\.venv\Scripts\python.exe -m app.main
```
Open:
- [http://127.0.0.1:4617/](http://127.0.0.1:4617/)
- [http://127.0.0.1:4617/queue](http://127.0.0.1:4617/queue)
- [http://127.0.0.1:4617/evidence](http://127.0.0.1:4617/evidence)
- [http://127.0.0.1:4617/docs](http://127.0.0.1:4617/docs)
If that port is occupied:
```powershell
$env:PORT = "4621"
.\.venv\Scripts\python.exe -m app.main
```
## Validation
```powershell
cd saas-help-center-geo-optimizer
.\.venv\Scripts\python.exe -m unittest discover -s tests
.\.venv\Scripts\python.exe scripts\run_demo.py
.\.venv\Scripts\python.exe scripts\smoke_check.py
.\.venv\Scripts\python.exe scripts\render_readme_assets.py
```
## Example Output
```json
{
"slug": "set-up-sso-for-your-workspace",
"geoScore": 59,
"priority": "high",
"fixQueue": [
"Refresh article examples and timestamp to improve answer trust.",
"Add explicit FAQ blocks to increase answer extraction quality."
]
}
```
## Repo Layout
- `app/main.py`
- `app/services/geo_service.py`
- `app/data/sample_help_center.json`
- `docs/architecture.md`
- `scripts/render_readme_assets.py`
## Why It Matters for SaaS Teams
Help-center content is often some of the highest-intent material a SaaS company
publishes. If those pages are easy for AI systems to parse and cite, they can
influence:
- support deflection
- trial conversion
- product education
- brand authority in AI-generated answers