AI Search Optimization (GEO) — Get Cited by ChatGPT, Gemini, Claude & Perplexity
We make your brand the answer when buyers ask AI assistants. Generative Engine Optimization (GEO) + Answer Engine Optimization (AEO) + AI-ready website builds for the post-Google search era.
How do you get a brand cited by ChatGPT, Gemini and Claude?
AI assistants cite sources they can parse and trust. Generative Engine Optimization works by publishing clear question-and-answer content, entity-consistent schema, crawlable server-rendered pages and third-party mentions the models already index. Preevee restructures your site into AI-readable answer blocks, then tracks how often ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews name your brand.
Every deliverable, defined.
- GEO audit — how 6 AI engines see your brand today
- llms.txt + llms-full.txt authoring and maintenance
- JSON-LD schema (Organization, Product, FAQPage, Article, HowTo, Review)
- Entity SEO + Knowledge Graph + Wikipedia/Wikidata seeding
- Prerender / SSR so LLM crawlers can read every page
- AI-ready content rewrites — citation-friendly structure (definitions, lists, tables)
- Conversational query targeting (long-tail, question-shaped intent)
- Statistics, original research and quotable data points engineered to be cited
- GPTBot / Google-Extended / ClaudeBot / PerplexityBot crawl access management
- LLM rank tracking + share-of-voice reporting across ChatGPT, Gemini, Claude, Perplexity
A repeatable, transparent system.
Pricing tiers
- GEO audit across 4 AI engines
- llms.txt + core schema
- Up to 8 pages rewritten for citation
- Monthly LLM rank report
- GEO audit across 6 AI engines
- Full schema + prerender/SSR setup
- 20 pages rewritten + 4 new citation hubs/mo
- Wikidata + entity SEO
- Weekly LLM rank + share-of-voice
- Full GEO + traditional SEO program
- Original research / data PR per quarter
- Reddit, Quora & community seeding
- Dedicated GEO strategist
- Custom LLM tracking dashboard
What is AI Search Optimization (GEO)?
AI Search Optimization — also called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) — is the practice of making your brand the answer when prospects ask AI assistants like ChatGPT, Google Gemini, Claude, Perplexity, Microsoft Copilot or Google AI Overviews. Unlike classic SEO (which targets Google's ten blue links), GEO targets the single generative answer the user actually reads. If your brand isn't named, quoted or linked inside that answer, you're invisible — even if you rank #1 on Google.
Why does GEO matter in 2026?
Over 800 million people now use ChatGPT weekly, Google AI Overviews appears on 47% of US informational searches, and Perplexity is the default search for a generation of millennials and Gen-Z professionals. Indian SMEs and D2C brands report 18–34% YoY drops in informational Google traffic — that traffic didn't disappear, it moved into ChatGPT, Gemini and Perplexity answers. Brands that show up inside those answers are compounding; brands that don't are quietly losing share.
How is GEO different from traditional SEO?
Traditional SEO optimises a page to rank on a SERP. GEO optimises a brand to be cited inside an LLM-generated answer. The signals overlap (schema, semantic HTML, authority, freshness) but the targets differ: LLMs reward clear definitions, structured data, named entities, original statistics, quotable single-paragraph answers, and citation-friendly formatting (tables, numbered lists, FAQ blocks). A page can rank #1 on Google and still never be cited by ChatGPT if it's written as marketing fluff instead of as an extractable answer.
How does Preevee make a website 'AI-ready'?
Our AI-ready website build covers seven layers: (1) llms.txt + llms-full.txt at the site root, (2) full JSON-LD schema on every page — Organization, Product, FAQPage, Article, HowTo, Review, BreadcrumbList, (3) semantic HTML with one H1 and a clear heading tree, (4) prerender or SSR so LLM crawlers (which often don't execute JavaScript) can read every route, (5) explicit GPTBot, Google-Extended, ClaudeBot and PerplexityBot allowances in robots.txt, (6) citation-ready copy with definitions, stats, tables and FAQs, (7) entity consistency across Wikidata, Wikipedia, LinkedIn, Crunchbase and Google Knowledge Panel.
Which AI engines do you optimise for?
We track and optimise for the 6 engines that drive the majority of AI search volume in 2026: ChatGPT (OpenAI), Google Gemini, Google AI Overviews, Anthropic Claude, Perplexity, and Microsoft Copilot. Each has slightly different ranking signals — Perplexity weighs Reddit and Quora heavily, ChatGPT favours Wikipedia and high-authority editorial sources, Gemini reflects classic Google rankings + Knowledge Graph, and Claude relies more on structured factual content.
How do you measure success in GEO?
Three metrics matter: (1) Citation rate — % of buyer queries where your brand is named/linked in the AI answer, (2) Share of voice — your citation share vs named competitors, (3) Referral traffic from ChatGPT, Perplexity, Gemini and Copilot in GA4. We deliver weekly reports across 50–200 priority prompts so you see exactly which queries you won, lost, or moved on.
GEO pricing for Indian SMEs and D2C brands
Most SMEs start at ₹65,000/month (GEO Starter) — covers the audit, llms.txt, core schema, and up to 8 page rewrites. D2C brands and B2B SaaS typically need ₹1.5–₹2.5L/month (Growth or Scale) for full schema, prerender/SSR, original data PR, and weekly LLM rank reporting. Enterprise GEO programmes for marketplaces and large publishers start at ₹4L+/month.
Is GEO replacing SEO?
No — GEO is additive. Google still drives the majority of search traffic in India in 2026, but AI-engine share is growing 6–9× faster than classic search. The right strategy is to run GEO and SEO together: the same structured, authoritative, schema-rich pages that win Google rankings also win LLM citations. Brands that wait will spend 2–3× more later to catch up on entity authority — the hardest GEO signal to manufacture.
How long does GEO take to show results?
First citations typically appear in 30–60 days for low-competition long-tail prompts (your brand + category questions). Competitive prompts (generic 'best X' queries) take 4–9 months as entity authority compounds. The compounding curve is steeper than SEO — once an LLM 'learns' to cite you on one prompt, related prompts often start citing you too.
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BlogGEO vs SEO in India (2026): How to Get Cited by ChatGPT, Gemini, Claude & Perplexity
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