AIEOS Lab builds brand authority across six major AI platforms simultaneously: ChatGPT, Gemini, Perplexity, Claude, Grok, and Meta AI. Our methodology is model-agnostic, meaning the same underlying entity and citation signals tend to influence how each of these models evaluates and recommends a brand, so you run one strategy rather than six separate ones.

Yes, AIEOS Lab has ranked brands across four markets: India, Dubai, Qatar, and Germany. The agency adapts its strategy to each market's language, AI query patterns, and competitive landscape rather than applying a single template globally.

Answer Engine Optimization (AEO) structures your brand's content so AI engines can extract it and use it directly to answer user questions. Generative Engine Optimization (GEO) is the broader strategy of building entity authority across the web so AI models treat your brand as a trusted, citable source when generating answers. Traditional SEO competes for a ranked position on a results page and hopes for a click; AEO and GEO compete to be the single answer an AI gives — often with no click involved at all.

Yes, GEO and AEO apply to any industry where customers ask AI platforms for recommendations, though the approach differs by sector. AIEOS Lab has run campaigns across at least nine industries including healthcare (IVF clinics), cosmetics, performance apparel, and lighting adapting citation sources and trust signals to match how each industry is evaluated by AI.

Consumer behavior has drastically shifted—people have stopped searching and started asking. Currently, over 60% of Google searches end without a click (zero-click searches), and 78% of users trust the first AI answer they receive without verifying further. If you aren't optimized for AI, you are invisible to a massive, high-intent segment of your market.

AI hallucinations occur when a model lacks clear, structured, and authoritative data about an entity. By engineering your brand's Knowledge Graph and ensuring consistent, easily parseable facts are distributed across high-authority datasets, we give the AI a rigid factual framework to pull from, practically eliminating hallucinations regarding your brand.

Yes — AIEOS Lab offers a 90-day results guarantee for an additional 20% on top of the standard service fee, with 90% payment required in advance. Before the campaign starts, we define the target keywords, AI platforms, and baseline visibility together. If your brand is not ranked on the agreed keyword within 90 days, and all required conditions have been met on your side, we refund the fee as outlined in your service agreement.

We embed your business into the citation parameters AI models rely on — not through keyword stuffing, but through entity authority building, semantic content restructuring, Schema graph engineering, and placement in the trusted industry databases LLMs reference for both training and real-time retrieval. The goal is to make your brand a structurally obvious answer, not to game a ranking algorithm.

Yes — AIEOS Lab specifically targets the gap between your brand and established competitors already being recommended by AI. We start by identifying which competitors AI platforms currently cite for your target queries, what sources and citations those recommendations are pulled from, and where your brand is structurally missing from that conversation. From there, we build your entity authority and citation footprint to close that gap — since AI recommendation is based on structured signals and citable data rather than incumbency, a newer or smaller brand can outrank an established one on a specific query if it has stronger, more verifiable AI-readable authority there.

Our campaigns are built around a 90-day results window, though changes can become visible earlier depending on your starting position, industry, and competitive landscape. We track performance continuously throughout the 90 days rather than waiting until the deadline to check progress, so you see momentum building, not a single pass/fail moment at the end.