LLM SEO Pricing: What Citation Engineering Actually Costs

Real LLM SEO retainers in India start at around ₹60,000/month for narrow-scope work and run to ₹3.25L+/month for enterprise multi-region programs. LLM SEO sits at the top of the AEO/GEO pricing curve because the work involves training-data seeding, Wikipedia coverage, and dedicated citation tracking across 5+ models - effort that doesn't exist in cheaper retainers.

AEO covers answer surfaces (AIO, featured snippets, ChatGPT Search citations). GEO covers generative engines more broadly. LLM SEO is the most specialized layer - explicitly engineering for inclusion in ChatGPT, Perplexity, Gemini, Claude, and Copilot responses, with deeper training-data seeding work (Reddit, Quora, Wikipedia, Stack Exchange) than AEO/GEO involve. Most brands engage all three as one consolidated program.

Overlap is significant. Roughly 70-80% of the technical work is shared - the unique LLM SEO layer is training-data seeding (forums, GitHub, Wikipedia) and per-model citation tracking. Most brands either pick one banner discipline (LLM SEO) and include AEO + GEO inside it, or consolidate all three into a single AI Search retainer. We don't sell all three separately - that would be triple-billing the same audit.

Conservative: 8-12 weeks for first citations on long-tail brand + category queries. 6-9 months for category-level citation share across multiple LLMs. LLM citation share compounds slower than rankings - because LLMs reflect their training data, and training data updates lag the live web. The work done today shows up over 2-4 quarters.

Three things. (1) Original research per quarter - the citation bait LLMs pull from when answering category questions. (2) Programmatic LLM-ready pages for long-tail intent (50-500 pages). (3) Competitor citation displacement - actively unseating competitors from LLM answers where we have stronger source signals. None of this fits inside the Growth tier hour-budget.

Yes, significantly. Wikipedia is one of the heaviest-weighted sources in every major LLM's training corpus. If your brand is genuinely notable (independent media coverage, ~5+ years of operation, named founders with public profiles), getting a well-sourced Wikipedia entry is one of the highest-leverage LLM SEO moves available. We audit eligibility and pitch where genuine - never paying for placement, which violates Wikipedia policy.

Yes. All Nico Digital retainers are month-to-month after a 90-day initial commitment. The 90-day floor exists because LLM SEO front-loads heavy work (audit, schema, entity setup, training-data seeding) that needs full execution to be worth anything.

Five red flags. (1) Anyone guaranteeing specific LLM placements - they cannot be guaranteed. (2) Anyone claiming to "submit content to ChatGPT" - no such submission exists. (3) Citation tracking via screenshots rather than systematic prompt audits. (4) Bulk Wikipedia editing without eligibility audits - this gets pages deleted. (5) Pricing below ₹50K/month for anything beyond a one-off audit.