Ravi Kumar Jangid Get in touch
Organic growth at scale · 2024 - present

Scaling a fintech site to 34K+ ranking keywords

Topical clusters, 1,000+ articles and 50+ landing pages, run as one content engine rather than a publishing calendar.

Fintech ยท Fundraising platform

34K+ranking keywords worldwide
12K+of those in the United States
139K+annual organic sessions
1,050+articles and landing pages shipped

The situation

A fundraising platform serving founders and investors worldwide, competing in a category where the incumbent content is produced by firms with far larger editorial budgets.

The problem

Publishing volume alone does not build authority. It builds an archive. The site needed a structure that made every new article strengthen the ones around it, and coverage deep enough that the domain read as an authority on the whole subject rather than a collection of posts.

Approach

What I
actually did.

In order, with the reasoning behind each step.

01

Mapped the subject, then the keywords

Topical clusters first: the full map of what a founder raising capital needs to understand, broken into pillars and supporting subjects. Keyword research filled the map in. It did not define it.

02

Built pillar and cluster architecture with deliberate internal linking

Each pillar anchors a subject; cluster pieces answer specific questions beneath it and link back. Internal linking follows the map, so authority concentrates where it should rather than pooling on whatever happens to get links.

03

Ran the engine end to end

Over 1,000 articles and 50+ landing pages: briefing, editorial standards, on-page and schema, publication, and the refresh cycle afterwards. Owning the whole pipeline meant quality control did not depend on handoffs between teams.

04

Managed the site itself

Technical SEO, schema, integrations and front-end changes shipped directly. Most updates went live without waiting on an external development queue, which shortened the loop between finding a problem and fixing it.

05

Measured against pipeline, not vanity

Core Web Vitals, homepage-hero A/B testing, and AI sessions and citations per engine tied through to conversion, so the reporting answered "is this producing qualified interest" rather than "did traffic go up".

Outcome

What I took
from it.

The advantage was in owning the whole chain. Strategy, content, technical and front-end sitting with one person removed the handoffs where most SEO programmes lose their momentum.

Stack
WordPressSchema / JSON-LDSearch ConsoleGA4SemrushAhrefsSE RankingScreaming FrogCloudflare
Context on request

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Employer names, client names and the underlying reporting go out with applications, or on request.