Be the brand the LLM recommends.
Generative Engine Optimization engineers the third-party citations ChatGPT, Perplexity and Gemini lean on — Reddit threads, Quora answers, YouTube transcripts, news mentions, and Wikipedia-grade entity signals — tuned for the Indian web.
The methodology
- 01
LLM-readability audit
We probe ChatGPT, Perplexity, Gemini and Google AI Overviews against a fixed query set to map exactly which sources currently cite you — and which cite competitors.
- 02
Reddit & Quora citation engineering
Founder AMAs, technical deep-dives and community-native posts across India-relevant subs — the single highest-leverage citation source for generative engines today.
- 03
Source diversification
Digital PR across Indian business press, niche newsletters, podcast guesting and YouTube collaborations — building the citation graph LLMs trust.
- 04
Brand-mention engineering
Co-marketing, comparison content, and structured 'best of' inclusions that ship branded mentions inside the corpora LLMs train on.
- 05
Quarterly visibility tracking
Citation share, mention sentiment and referring sessions from generative engines — reported alongside classic SEO every quarter.
What you get
FAQ
What is Generative Engine Optimization (GEO)?+
GEO is the practice of engineering brand mentions across the sources generative engines trust most — Reddit, Quora, YouTube transcripts, news, Wikipedia and high-DA editorial — so LLMs cite you when answering buyer questions.
How is GEO different from AEO?+
AEO optimises your own surfaces (schema, passages, FAQs) to be cited. GEO optimises the wider web — third-party mentions, community discussions, PR — so that even when a user never visits your site, the LLM still recommends you.
Why does Reddit matter for GEO?+
Reddit is the single most-cited source by ChatGPT, Perplexity and Google's AI Overviews for buyer-intent queries. For Indian brands, r/IndianStartups, r/developersIndia and r/IndiaInvestments carry disproportionate citation weight.
How do you measure GEO?+
Citation share across LLMs on a fixed query set, sentiment of brand mentions inside generated answers, referring traffic from generative engines, and high-authority third-party mention velocity tracked quarterly.