Generative engine optimization services that get your brand cited.
When a buyer asks ChatGPT or Perplexity which brand to choose, the model generates one answer. Our GEO services in India make sure that answer recommends you — and can show its source.
Generative engines don't return links. They return a verdict.
A generative answer collapses ten search results into one recommendation. The buyer doesn't scroll a page of options — they read what the model decided and move. That makes the model's verdict the most consequential moment in the funnel, and it's decided before the buyer ever reaches your site.
Generative engine optimization is how you influence that verdict honestly. LLMs build answers from the sources they retrieve and the entities they trust. We strengthen both — so when the model generates an answer about your category, your brand is in it, recommended, and attributable. Rank in AI search engines the way buyers actually use them, and you own a channel competitors can't outspend.
Five moves that get your brand into generated answers.
LLM visibility audit
We test how you surface inside generative answers — ChatGPT, Perplexity, Gemini, Claude — across the prompts that drive your category. You get a per-engine read on whether the model recommends you, ignores you, or recommends a competitor.
Content built to be cited by AI
Generative engines paraphrase and synthesize; they don't rank links. We produce source material structured to survive that synthesis intact — clear claims, clean data, defensible expertise the model can attribute back to you.
Optimizing for ChatGPT and Perplexity retrieval
Perplexity and ChatGPT search pull live sources at answer time. We make sure your pages are retrievable, parseable and quotable — and that the third-party sources they lean on point back to you.
Entity & knowledge-graph reinforcement
Models answer from entities, not pages. We strengthen how your brand, products and people are represented across the web's structured sources so the model has a clear, consistent picture to draw from.
GEO measurement across engines
Powered by Beacon, we track citation share, sentiment and recommendation rate engine by engine — so GEO stops being a black box and starts being a metric you manage.
Test the answer. Engineer the sources. Track the recommendation.
Test the generative answer
We run the prompts your buyers use across each generative engine and capture exactly what the model says about your category today.
Engineer the sources
We build and reinforce the content and entity signals the models retrieve and trust — so your brand becomes part of the answer they generate.
Track the recommendation
Beacon monitors citation and recommendation share per engine on a weekly cadence, so you can prove GEO is moving the needle.
GEO's sibling discipline — winning the direct answer and answer boxes across AI engines and Google.
The AI visibility tool that tracks your citation and recommendation share across four generative engines.
How generative engine optimization differs from traditional SEO — and where they reinforce each other.
GEO questions, answered.
What is generative engine optimization (GEO)?
Generative engine optimization is the practice of getting your brand cited and recommended inside the answers generative AI engines produce — ChatGPT, Perplexity, Gemini and Claude. Instead of ranking a page, GEO shapes the sources and signals those models synthesize their answers from.
How is GEO different from AEO and SEO?
SEO wins a ranked link. AEO wins a spot in a direct answer or answer box. GEO is the broadest of the three — it's about being present and trusted across the generative answers LLMs produce, including open-ended recommendations like "which brand should I buy?". The disciplines overlap and reinforce each other; most brands run them together.
Can you really optimize for ChatGPT and Perplexity?
Yes — not by gaming the model, but by improving the inputs it relies on. Generative engines retrieve and weight real web sources. By making your content retrievable and citation-worthy and strengthening the third-party consensus about your brand, you change what the model has to work with when it answers.
How do you measure GEO results?
Through Beacon, our AI visibility tool: citation share, recommendation rate, sentiment and coverage, tracked per engine and per query cluster on a weekly cadence. Because India-market search volume for these terms is still emerging, AI-engine citation is often a better near-term KPI than Google rank.
Is GEO worth it for an Indian brand right now?
The category is wide open — almost no one in India owns it yet, and AI adoption is climbing fast. Moving early means you compound trust with the models before your competitors start. We build GEO as a long-term visibility asset, measured on AI citation today and Google volume as it grows.
One Last Thing
Your competitors are already doing this.
Brands that own AI visibility now will be nearly impossible to displace later. Start with a free audit — see where you stand in 48 hours.