Case study
SEOCoPilot
An AI-powered SEO platform that brings keyword research, on-page audits, competitor analysis, and structured content generation into one tool for content teams.
At a glance
Overview
Project overview
SEOCoPilot is built for content teams, marketers, and SEO specialists who need to move quickly without lowering quality. It replaces the usual mix of keyword tools, editors, crawlers, and dashboards with a single platform. It also goes beyond analysis and writes the content.
We built it end to end, from architecture to UI.
The challenge
Business challenge
A typical SEO workflow spans four to six tools that don't share data, and every article needs hours of research before writing begins. Competitor analysis is slow or skipped, niches are picked by instinct, and content structure, where many rankings are won or lost, is rarely optimised.
The goal was to make well-structured, optimised content achievable at volume for teams that don't have more hours to give.
The solution
What we built
Users start with a URL, keyword, or brief. The platform audits the page, analyses top-ranking competitors for structure and keyword gaps, and then has GPT propose the full outline (H1, H2s, H3s, and paragraph layout) before writing the copy into it.
Keyword research, niche discovery, and performance tracking live in the same app. Python and Django handle page parsing, SEO analysis, the REST API, and OpenAI calls, and the React dashboard gives live feedback as content is analysed and generated.
Features delivered
What shipped
The main capabilities we delivered.
- On-page audits of headings, keyword density, meta tags, length, and internal links
- AI-recommended content structure before any copy is written
- GPT copy written directly into the recommended structure
- Keyword research with volume estimates and difficulty scores
- Competitor analysis that surfaces structure and topic gaps
- Niche discovery for low-competition, high-intent keywords
- Performance tracking for rankings, traffic, and engagement
- One dashboard for research, writing, and results
How it works
The outline before the copy
Each piece of content is structured for search before a word is written.
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01
Enter a URL or topic
One field to start: a page, keyword, or brief.
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02
On-page audit
Headings, metadata, and content gaps are flagged.
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03
Competitor analysis
Top-ranking pages are compared for structure and keywords.
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04
Structure recommended
AI proposes the H1, H2s, H3s, and paragraph layout.
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05
Content generated
GPT writes optimised copy into that structure.
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