The two problems are not the same. Answer Engine Optimisation and Generative Engine Optimisation, delivered as a monthly retainer.
CMOs and heads of digital understand SEO, invest in content, and track rankings carefully. What most are not yet tracking is whether that investment translates into AI search visibility.
It usually does not. The content model that worked for Google keyword ranking is structurally different from the content model that gets a source cited in a ChatGPT or Perplexity answer. Most Indian company websites are structured for the first model. They are invisible to the second.
Answer Engine Optimisation is the next discipline. Generative Engine Optimisation is the broader version: ensuring that when any AI system produces an answer in your category, your company is cited as the source. This retainer runs both, monthly.
When a buyer at a Bengaluru enterprise or a Mumbai financial services firm asks ChatGPT or Perplexity which company to speak to about a problem your business solves, your name needs to appear in the answer.
For most Indian companies, it does not. Not because the company is unknown. Because the website is not structured in a way that AI systems can extract, verify, and cite with confidence.
This retainer changes that structure.
Existing pages reviewed and restructured so AI systems can extract clear, verifiable claims. New content briefs written for queries where the brand has no AI coverage. Every month, the content surface grows more citable.
Schema markup governance, consistent brand language across all surfaces, directory and profile management. The entity signal that AI systems use to verify and trust a source is maintained and strengthened each month.
Manual testing across ChatGPT, Perplexity, Gemini, and Claude for the agreed query set. Citation rate, accuracy, and competitive position documented. Every quarter, you see exactly where your brand appears and where it does not.
Citation rate trend, query coverage, new citations earned, and a comparison against the three closest competitors. The report grounds the retainer renewal conversation in data rather than in relationship.
Series B and above startups, mid-market B2B technology companies, and professional services firms where buyers research carefully before making contact.
Companies that have invested in content marketing and SEO and are not seeing that investment return in AI-generated answers. Companies where a competitor is appearing in AI responses for queries they should own.
The companies that build entity signal and citation coverage in 2025 and 2026 will be significantly harder to displace when the discipline becomes standard practice in India.
Most Indian agencies are not yet equipped to answer questions about AI search visibility. That gap is where the early-mover advantage lives.
A thirty-minute conversation to establish whether there is fit. We ask about the query set, the competitive landscape, and what the brand is already doing on SEO and content.
A four-week paid discovery engagement. Baseline citation audit across all four major AI systems. Query gap analysis. Entity signal assessment. Discovery produces the retainer scope and the first content restructuring priorities.
Monthly content structuring and entity maintenance from month two. Most clients see measurable citation rate improvement within the first quarter. Quarterly audits track the change.
What AI answer engines actually cite, and why most company websites are invisible to them.
The specific patterns that determine whether a source gets cited in AI-generated answers, and what structuring content for citation looks like in practice.
Read →When AI answers the question, either you are the answer or you are not in the running.
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