Product-Led SEO
Turn what your product does into pages that rank: use cases, integrations, job-to-be-done pages and feature-level search demand.
SEO Sadhu is a SaaS SEO agency in Bangalore helping software companies win the searches that end in a demo, a trial or a signup. We build authority around your product, your category and the problems your buyers are trying to solve, across Google and the AI assistants they now ask first.
Software buying is research-heavy. Someone reads a problem-led article, checks a review site, asks an AI assistant which tools are worth shortlisting, then looks at two or three vendors side by side. Most of that happens before anyone fills in a form. SaaS SEO services in Bangalore should cover that whole path, not just the keywords with obvious volume.
SaaS SEO compounds, which cuts both ways. The competitor publishing consistently this quarter is the one an AI assistant will name next quarter. Starting later means paying more to catch up.
These are directional statements about how SaaS search behaves, not measured claims about your market. We quantify them against your own data in the audit.
We do not run a generic checklist over a software product. The plan is built around your category, your competitors, your pricing model and how your buyers actually evaluate tools.
Turn what your product does into pages that rank: use cases, integrations, job-to-be-done pages and feature-level search demand.
The highest-intent pages in SaaS. Built honestly, so they hold up when a buyer or an AI assistant checks the claims.
App subdomains, gated content, JavaScript rendering, staging leaks and marketing sites that grew faster than their structure.
A publishing rhythm built on topic clusters and search intent, written by people who understand software buyers.
Templated pages at scale where the data supports it, with safeguards against thin content and index bloat.
Structure your product information so AI assistants can read it, trust it and name your tool when someone asks what to use.
Earned mentions on the sites and communities that AI assistants and buyers already treat as credible.
Rankings are the input. We report on qualified traffic, trials, demos and which keywords produce revenue.
A sequence that front-loads the decisions which are expensive to change later: architecture, intent mapping and technical foundations.
Your product, ICP, pricing model, sales motion and what a qualified lead actually looks like.
Category demand, competitor coverage, comparison queries and the gaps nobody in your space has filled.
Site structure, URL patterns and internal linking designed to scale past a few hundred pages.
Technical fixes first, then the pages that sit closest to a buying decision.
Topical coverage, programmatic pages where they earn their place, authority and AI search readiness.
Monthly reporting on visibility, qualified traffic, signups and AI mentions, with the next sprint agreed in the same call.
Every engagement is measured against the numbers your board already looks at.
We work the way a good in-house team would, with the range of an agency that has seen the same problems across many products.
One strategy covering Google rankings and how AI assistants describe your product. Not an add-on line item.
Bottom-of-funnel pages get built before blog volume. Revenue first, traffic second.
You work with the strategist doing the thinking, not an account manager relaying it.
We will not promise positions nobody can promise. You get a plan, a rationale and honest reporting.
The goal is a channel that produces qualified pipeline predictably enough to plan around, and reporting clear enough that nobody has to take it on faith.
Straight answers on scope, timelines, pricing and how AI search changes SaaS marketing.
Send your product and two or three competitors. We will come back with where the demand is, what is holding your site back, and what a realistic first ninety days looks like.