Step 1Sprint 01
AI Visibility Audit
Map your current brand mentions and citation rate across ChatGPT, Perplexity, Google AI Overviews, and Claude. Establish a baseline for AI citation share.
Engine 02
GEO
SEO, GEO & AEO (AI Answer Optimization)
When high-value buyers ask ChatGPT, Perplexity, Claude, or Google AI Overviews for recommendations, your brand must be the #1 cited authority. We engineer entity graphs, deploy <code>/llms.txt</code> feeds, and map prompt-level visibility so you own the answer.
AI Answer Share:#1 Cited in 73% of Prompts
The Paradigm Shift
Search Is Dead. Long Live the Answer.
Zero-click conversational queries now drive 40% of high-intent B2B traffic. Buyers no longer scan 10 blue links — they ask ChatGPT, "What is the best tool for X?" and act on the single answer they receive.
Traditional SEO optimizes for rankings. GEO and AEO optimize for citation — becoming the brand that AI engines surface, quote, and recommend as the definitive answer.
73%
Citation Share
5+
AI Engines
88%
AOI Presence
💬
ChatGPT Search
Brand cited as top recommendation
🔍
Perplexity Pro
Organic answer integration
🤖
Google AI Overviews
Featured snippet citation
🧠
Claude & Gemini
Knowledge graph anchoring
GEO / AEO Core Capabilities
Visibility doesn't stop at your website. AI models pull from everywhere — press, forums, reviews, social. We optimize across the entire omnimedia landscape.
LLM Prompt Research & Mapping
We identify the exact prompts your buyers ask across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Then we reverse-engineer content and entity structure to own those answers.
Prompt Share73%
Entity Graph Engineering
We build and anchor schema.org entity graphs to Wikidata, Wikipedia, and Crunchbase — so AI engines connect every fact about your brand, not just your homepage.
Entity Match92%
/llms.txt Deployment
We publish structured, machine-readable documentation feeds that Perplexity, ChatGPT Search, and Claude index directly — eliminating hallucination and ensuring accurate citation.
Verified100%
Semantic Content Clustering
Instead of keyword-stuffed pages, we architect topical clusters with explanatory depth, entity density, and fan-out coverage that AI models retrieve and surface as authoritative sources.
Coverage88%
Citation Monitoring
Real-time tracking of AI answer placement, citation frequency, and share-of-voice across all major LLM platforms. We measure what matters: being the recommended brand.
Monitoring24/7
Multi-Engine Optimization
We optimize for ChatGPT Search, Perplexity Pro, Google AI Overviews, Claude, and Gemini — because zero-click conversational queries now drive 40% of high-intent B2B traffic.
Engines5+
Execution Framework
GEO / AEO Process
We organize the work in three stages: assess, anchor, and activate across all AI engines.
Step 2Sprint 01-02
Entity Architecture
Build structured schema.org entity graphs, deploy /llms.txt feeds, and anchor brand identity to Wikidata, Wikipedia, and authoritative sources. Make your brand legible to AI.
Step 3Sprint 03
Content Activation
Deploy semantic content clusters optimized for LLM retrieval — high explanatory power, dense entity relationships, and prompt-aligned topic coverage.
Step 4Sprint 04+
Multi-Engine Monitoring
Continuous tracking of citation frequency, AI referral traffic, and brand sentiment across all engines. Defend and grow your answer-share position every sprint.
Avg. Citation Share:73% Across Engines
Verifiable Proof
Case Study: Axiom Ledger
Fintech Platform620+ SQLs
Axiom Ledger
Executed an Answer Engine Optimization offensive to capture zero-click institutional queries and deployed LinkedIn dynamic ABM funnels. The brand achieved 88% snippet share in Google AI Overviews and drove 620+ SQLs with a blended cost of ₹13,000 per demo.
AEO Snippet Share
88%
In Google AI Overviews
Cost / Demo
₹13,000
Top-tier CFO persona
SQLs Generated
620+
Qualified demos booked
Is Your Brand Visible Inside AI Engines?
Run our free live scan to check your entity graph, /llms.txt readiness, AI crawler permissions, and real-time ChatGPT citation probability.
Transparent Answers
GEO & AEO FAQs
Everything you need to know about generative engine optimization, entity graphs, and AI citation visibility.
What exactly is GEO and AEO, and how is it different from traditional SEO?▼
Traditional SEO focuses on keyword rankings and backlinks for Google's 10 blue links. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) focus on conversational synthesis engines: ChatGPT Search, Perplexity Pro, Google AI Overviews, Claude, and Gemini. Instead of just crawling links, these engines look for semantic entity authority, Wikidata relationships, structured schema data, and factual citation density (such as <code>/llms.txt</code>). If an executive or buyer asks an AI "What is the top tool for X?", GEO ensures your brand is the cited answer.
How do you measure GEO and AEO success?▼
We track five key metrics: (1) Citation Frequency — how often your brand is cited across AI answers; (2) AI Referral Traffic — actual sessions from ChatGPT, Perplexity, and Google AI Overviews; (3) Entity Density — how well your brand entities are connected in knowledge graphs; (4) Fan-Out Coverage — how well you cover related question clusters; and (5) Brand Sentiment — whether AI describes your brand positively. Traditional rankings and impressions are no longer sufficient.
What is llms.txt and why do I need it?▼
<code>/llms.txt</code> is a markdown file published at your site root that describes your product, APIs, and technical documentation in a format that LLM-powered tools (Perplexity, ChatGPT, Claude) can read and cite. Without it, AI engines may hallucinate features or miss your product entirely. We deploy and structure it for maximum citation probability.
How long does it take to see GEO/AEO results?▼
Most clients see initial citation improvements within 6-8 weeks, with significant share-of-voice growth by 3-4 months. Because GEO is about entity authority and content quality rather than quick link building, results compound over time — your AI answer share continues growing as your content and entity graph deepen.
Do I need to restructure my entire website for GEO?▼
Not at all. We work with your existing site and layer on the technical foundation: entity schema, /llms.txt deployment, semantic content gaps, and citation monitoring. If you are already migrating to headless (our Engine 01), the GEO foundation integrates seamlessly.