SEO LEAD / SYSTEM BUILDER
A catalog of builds separate from client case studies — showing technical range. SoarTask is the flagship; the rest show breadth.
Total Projects
6
Live Demos
2
Systems Built
4
Flagship product build
Interface demonstration · sanitized workflow
Flagship product build
Built as a product architecture; readiness gates and external release evidence remain explicit.
Evidence → priority
every finding keeps its source, timestamp and limitations
Owner-ready execution
issues become tasks with roles, approvals and context
Recheck → outcome
results return to the same evidence trail for accountability
SEO intelligence system
A unified Python SEO intelligence toolkit combining GSC, GA4, SERP/competitor research, PageSpeed Insights, SE Ranking API, on-page crawl and root-cause analysis — with a data contract and score reconciliation.
Stack
Python, GSC API, GA4 API, PageSpeed Insights, SE Ranking, on-page crawl, JSON/HTML/Markdown report
Output
JSON / HTML / Markdown report
Coverage
15 brand configurations
Analyzes ranking drops at keyword-to-page level, search-intent alignment, content gaps, win probability, ranking forecasts, title/SEO A/B tests, content briefs and link opportunities. Supports 15 brand configs — 13 client + 2 internal (QuantSoar, LeeScout).
View system detail →Second system build
Turns a week of manual pillar, cluster and internal-link planning into an implementation-ready workflow in about one hour per brand.
Deterministic Python engine + guided AI analysis. It produces csv, html, excel, cms exports, content briefs and implementation plans and keeps four human-review gates before implementation, so the team can continue from the same plan immediately.
View system detail →Before
1 week / brand
After
1 hour / brand
Brands
15 report datasets
URLs
4,180 crawled URLs
Clusters
867 topic clusters
Pillars
359 selected pillars
Coverage
7 site types
Governance
4 human-review gates
Export
24-sheet Excel export
Counts are summed from the local report summaries; time saving is an owner-reported workflow result.
Technical architecture
The systems are designed as connected layers: collect the signal, transform it into a decision, assign the work and make the outcome easy to recheck.
GSC, GA4, SERP, PSI, crawls and structured briefs.
Python rules, prioritization and content architecture logic.
Tasks, exports, dashboards and implementation-ready outputs.
Owners, checks, reports and evidence that close the loop.
Build principles
Inputs, assumptions and outputs are visible instead of hidden in a black box.
Each layer can be reused across brands, tools and workflows.
Automation accelerates judgment; it does not remove the review gates.
The final output names the priority, owner and next implementation step.
Builder work
This page documents systems and products I built. Client outcomes, rankings and performance evidence live in Case Studies so the two types of work stay clear.
Live platform · built and maintained as part of the QuantSoar product work.
169 verified projects · 13 developers · 6 areas across Bangkok · confirmed pricing data.
Live website · 50+ tools complete · free to use.
Analyzes ranking drops at keyword-to-page level · search-intent alignment · content gaps · win probability · ranking forecasts · title/SEO A/B tests · content briefs and link opportunities. Supports 15 brand configs · 13 client + 2 internal (QuantSoar · LeeScout).
Reported workflow improvement: planning time reduced from about 1 week per website to about 1 hour. The report library covers 15 website datasets and turns thousands of pages into a clear · implementation-ready content plan.
Case studies show the business impact — not just the build.
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