Generative Engine Optimization (GEO) & AI Search Visibility Consulting
Direct Answer: Generative Engine Optimization (GEO) is the technical discipline of configuring a website's entity schemas, semantic data graphs, and answer-first copy so that AI search engines—such as Perplexity, ChatGPT Search, Gemini, and Google AI Overviews—cite your business as the definitive source. Sahil Kargutkar helps businesses in Mumbai and worldwide transition from obsolete keyword-stuffing to dominant AI answer citations.
How We Win Citations Across ChatGPT, Perplexity & Gemini
Entity Graph & Nested JSON-LD Schemas
We connect your brand to unambiguous entity nodes (Wikidata, LinkedIn, industry directories) using nested JSON-LD schema markup. By declaring explicit Person, Organization, ProfessionalService, and FAQPage nodes, LLMs know precisely what your business does without hallucination.
Answer-First Content Architecture (AEO)
AI summarizers scan for concise, factual paragraphs to cite in conversational answers. We re-engineer your core landing pages and guides so every major heading begins with a 1–2 sentence direct response followed by verifiable data, bullet points, and pricing transparency.
Sub-150ms Edge HTML Delivery
AI web scrapers (such as GPTBot, PerplexityBot, and ClaudeBot) operate with aggressive crawl timeout thresholds. Heavy JavaScript SPAs get bypassed. We deploy your site on Next.js edge networks with static HTML pre-rendering to guarantee instant, complete scraper ingestion.
AI Crawler Directives & Real-Time Benchmarking
We calibrate your robots.txt to explicitly welcome high-value AI indexing agents, generate machine-readable sitemaps with valid lastmod timestamps, and benchmark your brand's citation frequency across leading AI models before and after launch.
GenerativeSEO.in: +320% Perplexity AI Search Visibility
By deploying our proprietary GEO framework with multi-tier JSON-LD schemas and answer-first content structures, GenerativeSEO secured an 84% inclusion rate on ChatGPT search and 91% on Perplexity.
Transparent GEO & AEO Consulting Packages
GEO Readiness Audit
Comprehensive audit of current AI engine citations, schema gaps, crawl logs, and actionable engineering roadmap.
- Perplexity & ChatGPT citation baseline
- Schema graph validation & gap audit
- Prioritized code-level implementation plan
GEO Engineering Overhaul
End-to-end implementation of nested JSON-LD schemas, AEO content refactoring, Next.js edge caching, and bot directives.
- Nested Organization & Person schemas
- Answer-first content refactor (5 core pages)
- AI crawler headers & sitemap optimization
Citation Tracking Retainer
Continuous citation tracking, weekly AI search prompt experiments, new schema rollouts, and defensive entity monitoring.
- Weekly citation reports across models
- New article AEO formatting & schema tags
- Direct WhatsApp & Slack advisory access
Frequently Asked Questions (GEO & AEO)
What is the difference between GEO (Generative Engine Optimization) and traditional SEO?
Traditional SEO optimizes for keyword density and backlink volume to win 10 blue links on Google. Generative Engine Optimization (GEO) optimizes content, entity authority, and structured data schemas so large language models (Perplexity, ChatGPT, Gemini, Claude) cite and recommend your brand when answering complex conversational queries.
How does Answer Engine Optimization (AEO) get my website cited on ChatGPT and Perplexity?
AEO restructures web content into modular, answer-first paragraphs where the first 150 characters of a section directly answer the core question, backed by factual statistics and unambiguous JSON-LD schema markup. AI scrapers use retrieval-augmented generation (RAG) to locate concise, high-confidence factual snippets. By removing marketing fluff and clarifying your entity graph, your content becomes the default reference.
How much does a Generative Engine Optimization (GEO) audit cost?
A complete GEO and AI Search Readiness Audit starts from ₹50,000 ($649 USD). This includes citation share benchmarking across ChatGPT, Perplexity, and Gemini, entity graph analysis, robots.txt crawler verification, and a prioritized technical implementation roadmap.
How long does it take to see results in AI search engines?
Because AI engines rely on frequent web crawler re-indexing cycles (GPTBot, PerplexityBot, ClaudeBot), websites implementing structured entity schemas and answer-first content typically observe initial citation capture and brand inclusions within 3 to 6 weeks.
Social proof & verified results
Client Testimonials & Verified Recommendations
"Sahil rebuilt our platform on Next.js from the ground up. Our mobile load time dropped from 4.2s to 1.1s, and our monthly student enrollment inquiries more than tripled within 90 days. He solved our drop-off issue completely."
"Sahil is one of the rarest frontend engineers who genuinely understands semantic entity graphs and AI engine retrieval. His structured schema pipelines and sub-second Next.js edge caching took our AI citation share to over 90% on Perplexity."
"Working with Sahil on WanderSouls was a masterclass in cross-platform architecture. His Flutter BLoC implementation combined with FastAPI prompt validation made our collaborative itinerary planner feel instant and bulletproof."
"Sahil is the engineer you bring in when you need zero-downtime migrations, sub-second TTFB, and clean architectural patterns. His Next.js expertise and systems thinking are second to none in the Mumbai developer ecosystem."
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