AI Visibility services (GEO/AEO) — get cited by ChatGPT, Perplexity & Google’s AI.
When your buyers ask an AI which brand to pick, you’re either in the answer or you’re invisible. We engineer citations — and log them per engine, every month.
Definition
GEO (Generative Engine Optimization) is the practice of making a brand visible inside AI-generated answers — ChatGPT, Perplexity, Gemini, Google’s AI Overviews — by engineering content those engines select and cite. AEO (Answer Engine Optimization) covers the adjacent surface: structured answers for featured snippets and question results. Different mechanics from classic SEO: engines pick passages, not pages, and they favour evidence — statistics, quotations, cited sources.
The answer surface is already here.
100M+
weekly ChatGPT users in India, OpenAI’s second-largest market worldwide.
TechCrunch, Feb 2026
40%
visibility lift in AI answers from adding statistics, quotations, and source citations, in controlled research.
Aggarwal et al., KDD 2024
Stat slot
One or two more sourced numbers — AI Overviews query coverage, AI referral growth. Real and sourced only; an empty slot beats a soft one.
Every one of those answers cites somebody. The work is making it you.
The method
GEO built on published research — not vibes.
Most “AI SEO” being sold right now is guesswork with a new name. Our methodology is anchored in the first large-scale academic study of generative engine visibility, which tested nine optimization strategies across thousands of queries.
Reference
Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024.
What measurably worked: adding relevant statistics, including named quotations, and citing authoritative sources — up to 40% visibility improvement. What measurably backfired: keyword stuffing. Those findings, engine-by-engine testing, and a monthly measurement loop are the method. When the research advances, the method advances — that’s the point of building on research.
How it works.
01
Baseline
Your buyers’ real questions run through every major engine — where you’re cited today (usually: nowhere) becomes month zero’s log.
02
Prompt research
The questions worth winning get chosen — buying-intent first, winnability scored, agreed with you.
03
Content engineering
Target pages rebuilt to the evidence: stats in, quotations in, sources cited, answer-first structure, self-contained sections engines can lift whole.
04
The technical layer
llms.txt live, AI crawlers verified unblocked, schema deepened — machines can only cite what they can read.
05
Measure, iterate
The prompt set re-runs monthly, per engine. What moved, what didn’t, what changes next — in the log, in writing.
A citation log, not a feeling.
Every month you get the per-engine log: the same fixed questions, re-run across ChatGPT, Perplexity, Gemini, and AI Overviews, with your brand’s presence recorded question by question — cited, linked, named, or absent. Beside it, a GA4 channel isolating traffic that arrives from AI platforms.
Two imperfect measures, reported together honestly — engines personalise and some AI referrals hide — which is exactly why we log both instead of cherry-picking either.
Monthly citation log Real excerpt pending Anonymised log screenshot the report format is itself the asset
Citations we’ve already won.
Client citation screenshot ChatGPT / Perplexity · 21:8 One caption line: the question, the engine, the month.
Two ways to buy it.
Best value
Inside SEO Ultimate
₹15,000/moThe full system: Growth’s SEO engine plus the complete GEO layer, one integrated plan. Best when we’re running both surfaces — the same research feeds each.
AI Visibility standalone
₹20,000/moThe GEO layer alone: prompt research, content engineering on agreed pages, the technical layer, and the monthly citation log. For teams with SEO already handled elsewhere — there’s no shared research to save on, which is why it costs more than Ultimate.
Not ready for a retainer? The AI Visibility Check (₹7,500, one-time) answers “does AI cite us today, and why not” — and its findings become month one if you continue.
What this service cannot promise
What it does deliver: the research-backed inputs, the technical access, and the log that shows exactly what’s moving. Anyone promising “guaranteed ChatGPT recommendations” is selling something the engines don’t offer.