GPT search optimisation that gets you cited.
not just scraped.
AI search is the real shift in SEO this decade. ChatGPT, Perplexity, Claude, Gemini, and Google's AI Overviews now answer billions of queries that used to drive clicks to real websites. Your customers are getting answers without ever visiting you. The game is no longer just "rank for keywords" — it's "get cited by AI when it answers your buyer's question". Clarvity's GPT search optimisation is grounded in what we actually know works: E-E-A-T, structured data, entity presence, and the content formats AI assistants quote from. No miracle promises. No snake oil.
Every signal AI weighs. every format it cites.
AI assistants pick sources based on authority, structure, clarity, and entity recognition. Clarvity works all six layers that current research and real-world observation suggest matter — with honest commentary on what's established vs still experimental.
E-E-A-T & Authority
Experience, expertise, authoritativeness, trust — the signals AI weights heaviest when choosing which sources to cite.
Entity Optimisation
Wikipedia, Wikidata, Crunchbase, authority databases — making your brand a recognised entity in AI's knowledge graph.
AI-Friendly Content
Direct answers, Q&A formats, comparison tables, factual claims with attribution — the formats AI quotes from.
Schema & Structured Data
Organization, Person, FAQPage, HowTo, Article — the semantic layer AI crawlers parse before anything else.
Citation-Worthy Research
Original data, surveys, industry benchmarks — the content format AI prefers to quote because it's uniquely sourced.
AI Visibility Tracking
Prompt-based monitoring of what ChatGPT, Perplexity, Gemini, and Google AI Overviews actually say about your brand.
What is GPT search optimisation?
GPT search optimisation — also called Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), or AI Search Optimisation — is the practice of optimising a brand's content, authority signals, and structured data to appear in and be cited by AI-powered search assistants: ChatGPT Search, Perplexity, Claude, Google Gemini, and Google's AI Overviews. Unlike traditional SEO which optimises for ranking in blue-link results, GEO targets a different outcome: being included in the sources AI uses to generate its answers, and being named as the brand of record when users ask AI for recommendations.
Honest disclosure first: this is a new discipline, less than two years old at scale, and the playbooks are evolving every month. Nobody — not Clarvity, not any agency — has permanent certainty about what moves AI citations. What we have is a reasonable, evidence-based understanding of the signals that current AI systems seem to weight: E-E-A-T, entity presence across authority databases (Wikipedia, Wikidata, Crunchbase), structured data at scale, factual content formats with clear attribution, and citation presence on sites AI assistants are known to crawl (Reddit, Quora, authority news, academic sources). These signals compound. Results are directional, not deterministic.
The other honest frame: GEO is not a replacement for traditional SEO — it's a layered extension of it. The signals AI assistants weight most heavily are the same signals that already matter for Google rankings. If your traditional SEO foundations are weak (thin content, no authority, no schema, no entity presence), spending on GEO before fixing the fundamentals is premature. The right sequence for most Indian businesses: build serious traditional SEO foundations first, then layer GEO on top. For businesses already at that foundation, GEO is urgent — AI search share is growing fast and early movers in each category get the compounding advantage.
How Clarvity runs a GEO engagement.
Every engagement follows the same four-stage arc — baseline, audit, execute, iterate. But because the field is evolving fast, we treat every tactic as experimental until data proves it works for your category. Monthly tracking, quarterly honest reviews on what moved and what didn't.
AI visibility baseline
Where you're mentioned, cited, or ignored across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — documented with real prompts.
Authority & entity audit
Wikipedia, Wikidata, Crunchbase, industry databases — where your brand entity is strong, weak, or absent. Schema gaps mapped.
Content & schema execution
AI-friendly content formats, schema overhaul, entity presence building, original research content — the work AI actually responds to.
Monitor & iterate
Monthly AI visibility tracking, prompt-based audits, quarterly strategy refresh because the field keeps shifting — honest commentary throughout.
Every retainer includes.
Evidence-based. Tracked monthly. Honest about uncertainty.
Every tactic grounded in what current evidence suggests works. Every month, you see what AI assistants actually say about your brand. When something isn't moving, we say so.
- AI visibility baseline audit (ChatGPT, Perplexity, Gemini, Claude, AI Overviews)
- Entity presence audit (Wikipedia, Wikidata, Crunchbase, authority databases)
- E-E-A-T signal assessment and remediation plan
- Advanced schema (Organization, Person, FAQPage, HowTo, Article)
- AI-friendly content restructure (direct answers, Q&A, comparison tables)
- Original research and data content strategy
- Citation strategy for sites AI assistants crawl (Reddit, Quora, authority news)
- Prompt-based AI visibility tracking (what AI says about you)
- Google AI Overview monitoring on target queries
- Monthly AI citation reports with written commentary
- Quarterly strategy refresh (because the field keeps shifting)
- Honest commentary on what we know works vs what's experimental
GPT search optimisation, answered honestly.
What is GPT search optimisation (GEO or AI SEO)?
GPT search optimisation (also called Generative Engine Optimisation, GEO, Answer Engine Optimisation, AEO, or AI Search Optimisation) is the practice of optimising a brand's content, authority signals, and structured data to appear in — and be cited by — AI-powered search assistants including ChatGPT Search, Perplexity, Claude, Google Gemini, and Google's AI Overviews. Unlike traditional SEO which optimises for ranking in blue-link search results, GPT search optimisation targets a different outcome: being included in the sources AI assistants use to generate their answers, and ideally being named as the brand of record when users ask AI for recommendations in your category.
How much does GPT search optimisation cost in India?
GPT search optimisation costs in India are still stabilising because the discipline itself is less than two years old. A basic AI visibility audit plus remediation plan typically runs ₹30,000-₹1,00,000. Standard GEO retainers (ongoing content, schema, authority work, monthly AI citation reports) run ₹40,000-₹1,50,000/month. Enterprise or multi-vertical GEO engagements with original research content, entity optimisation across multiple databases, and multi-market monitoring run ₹1,50,000-₹5,00,000+/month. One-off entity presence and schema setup projects run ₹25,000-₹1,00,000. Honest note: anyone quoting fixed prices with guaranteed AI citation outcomes is overpromising — the field is evolving monthly and no agency has permanent playbooks.
Does GPT search optimisation actually work?
Partially, and honestly. What we know works, because it maps to how large language models retrieve and cite sources: strong E-E-A-T signals (expertise, experience, authoritativeness, trust), consistent brand entity presence across authority databases (Wikipedia, Wikidata, Crunchbase), structured data at scale, content formatted for direct answers (Q&A, comparison tables, factual claims with attribution), and citation presence on sites AI assistants are known to crawl (Reddit, Quora, authority news, Wikipedia). What we don't know: exact weighting of these signals in each AI system, how quickly playbooks will shift, or whether tactics that work in October 2026 will work in October 2027. Anyone selling guaranteed AI citation results is lying — the honest answer is "these fundamentals compound; results are directional, not deterministic."
How is GPT search optimisation different from traditional SEO?
Traditional SEO targets ranking in blue-link results — the goal is appearing in positions 1-10 of a search engine result page so users click through to your site. GPT search optimisation targets citation — the goal is being used as a source by AI assistants when they generate answers, so your brand gets named and your content gets referenced even when the user never visits your site. The signals overlap heavily (both reward E-E-A-T, authority, schema, and quality content) but the measurement is different (AI citation presence vs organic rankings), the formats that work are different (AI prefers direct answers and comparison content over long essays), and the outcomes are different (traditional SEO drives visits; GEO drives brand mentions, consideration, and recommendations within AI conversations). Both matter in 2026 — neither replaces the other.
Can you guarantee my brand will be cited by ChatGPT?
No, and anyone who guarantees that is selling you a story. AI systems like ChatGPT, Perplexity, Claude, and Gemini don't publish their source selection algorithms and change them regularly. What we can guarantee: a rigorous AI visibility baseline, a remediation plan grounded in the signals that evidence suggests matter (E-E-A-T, structured data, entity presence, authority citations), ongoing execution on those signals, monthly tracking of what AI assistants actually say about your brand, and honest commentary when something isn't working. What we can't guarantee: specific citation outcomes, timeline for first citation, or that any given tactic will continue to work six months from now. We'd rather be honest about uncertainty than sell certainty we can't deliver.
Should I invest in GPT search optimisation now or wait?
The honest framing is a two-part answer. If your traditional SEO is already strong — authority built, E-E-A-T solid, structured data in place, content quality high — then GEO work is a layered extension that compounds existing investment, with modest incremental cost. Start now. If your traditional SEO foundations are weak — thin content, no authority, no schema, no entity presence — spending on GEO before fixing the fundamentals is premature. The signals AI assistants weight most heavily are the same signals that already matter for Google: fix the foundation first, then layer GEO on top. For most Indian businesses, the right sequence is: six months of serious traditional SEO work → add GEO once the foundation holds. For businesses already at that foundation, GEO is urgent — AI search share is growing fast and early movers in each category get the compounding advantage.
Ready to find out what AI already says about you?
Book a 30-minute AI visibility review. We'll run live prompts on ChatGPT, Perplexity, Gemini, and Claude using your category queries, show you where you're mentioned (if at all), flag your top-3 competitors' AI presence, and tell you honestly whether GEO is your next move or whether traditional SEO needs attention first — no pitch deck, no hard sell.
Book an AI visibility review