An AEO agencyin India. Here isexactly what we do.

Founders and marketing leads at Indian companies whose buyers ask an AI assistant before they buy: D2C brands, SaaS, clinics, edtech, marketplaces. The copy on this site assumes no prior knowledge of AEO, because most of the people we talk to are hearing the term for the first time and have already lost the shortlist.

We have measured 20 Indian brands across 18 categories and one full category, payroll and HRMS, on four engines. The numbers are published, winners and zero-named brands alike, on the research page and the case study.

1. Audit. We run the real questions your buyers ask through ChatGPT, Perplexity, Gemini and AI Overviews. We log who gets named, in what order, and which pages each engine read to decide.
2. Fix. We open the site to every engine's crawler, mark up what is already published with the schema each engine reads, add an llms.txt, and hand your team a page-by-page brief for what is missing. Your writers write; we check it.
3. Publish. On your site, in your voice, checked by you before anything goes live.
4. Monitor. We re-run the questions every week and send one report a month in plain numbers: named or not, per engine, against the competitors that beat you.

• A written baseline: your share of answers, per engine, per question, with the sources each engine read.
• Crawler access fixed for GPTBot, PerplexityBot, Google-Extended and ClaudeBot, including the CDN and firewall settings that silently block them.
• Schema on pricing, comparison and FAQ pages: Organization, Product, Offer in rupees, FAQ.
• An llms.txt, a clean sitemap, and one consistent set of company facts across the site.
• A page-level brief for every buyer question you are losing: which page answers it, what it must state, in what order.
• An audit of the third-party record, G2, Capterra, SoftwareSuggest, Reddit and your category's roundups, for missing, wrong or rupee-less entries.
• One report a month. The ROI sentence first, then the citation-share trend per engine against baseline, what shipped, before-and-after answer quotes, and at most three priorities for next month. A flat month is reported as a flat month.

A mention is your brand appearing as a whole word in an answer. Your share is the number of answers that name you divided by the number of answers, scored per engine and separately for questions that contain your name and questions that do not. The unbranded number is the one that matters, and it is the one we report on.

Client audits run identical buyer-intent questions through each engine's live search-grounded API so the same set can be re-run every week. Answers vary between runs and the consumer apps add personalisation the API does not capture, so we report trends, not single readings. An engine we have not measured is reported as not yet measured, never assumed.

We do not promise rankings, and we do not guarantee an outcome, because nobody controls what an engine writes. We promise to measure your citation share honestly, to do the work that moves it, and to tell you in plain numbers what moved and what did not.

We do not write your pages. Your team knows the product; we tell them exactly what each page has to say for an engine to quote it, and we check it before it goes live.

We do not publish a rate card, because the work differs with how many buyer questions you are losing and on how many engines. The intro call costs nothing: fifteen minutes, we run ten of your buyers' questions live and show you who gets named. You leave with the baseline whether or not we work together.