Why most of your blog posts earn nothing, and how to find them
The distribution is brutally skewed. Here is the Search Console query that finds your dead pages in ten minutes.
The content asset audit: what to keep, update or kill
A one-afternoon audit that sorts every post into four actions using traffic, conversions and one question about whether a model could have written it.
Evergreen content that still earns clicks after AI Overviews
If a model can answer the question by reading page one, publishing another page-one answer earns nothing. Four content types that survive.
What AI agents actually cost an Indian marketing team
Token pricing is the small number. The costs that matter are example collection, review time and the month of parallel running nobody budgets for.
AI-generated content and DPDP: the consent problem nobody is discussing
Personalising with an external model means sending customer data to a third-party processor. Most Indian teams have not papered that, and it is a purpose-limitation problem.
Building your first marketing AI agent without an engineering team
A four-week path to a working agent using tools a marketing team already has, and the three decisions that determine whether it survives.
Where AI agents break in Indian marketing workflows
Multilingual data, WhatsApp-first funnels and thin CRM hygiene break agents in ways the US case studies never mention.
AI agents versus marketing automation: what is actually different
Automation follows rules you wrote. An agent decides the steps. That single difference explains why most agent pilots stall in Indian marketing teams.
What actually triggers a DPDP penalty
The 250 crore figure is a ceiling for one specific failure, not a standard fine. How the tiers work and which marketing habits create real exposure.
Data fiduciary or data processor: which one is your agency?
The test is control, not custody. Why most Indian agencies are Data Fiduciaries on work they assume makes them processors.