AI SEO services for the four engines your buyers actually use.
e21designs ships AI SEO services for Indian B2B firms whose buyers now run ChatGPT, Perplexity, Gemini and Claude before Google. Schema graph deployment, llms.txt architecture, factual-claim density, entity coherence, four-engine citation tracking, the discipline that decides whether AI engines return your firm's name when a buyer asks the category-defining question.
AI SEO is the on-site Echo layer of The Cited Brand System™, the machine-readable foundation that gives AI engines a clean, citable shape of your firm. It is necessary but not sufficient. Without the off-site Evidence layer (Reddit, Wikipedia, trade press, podcasts), even perfect AI SEO plateaus at ~20% citation share in crowded categories. Done in sequence with Evidence, it breaks through. The full method →
The difference between SEO and AI SEO, table form.
Most "AI SEO" pitches in India today are SEO methodologies retrofitted with a ChatGPT logo. The actual difference is mechanical, measurable, and worth pricing differently.
| Dimension | Traditional SEO | AI SEO · e21designs |
|---|---|---|
| Primary engine | Google · Bing | ChatGPT, Perplexity, Gemini, Claude |
| Optimisation unit | Pages ranked in a SERP | Sentences extractable as AI answers |
| Strongest signal | Backlinks · Domain Rating | Factual-claim density · evidence triangulation |
| Schema role | Rich-result eligibility | Entity coherence + AI parsing input |
| llms.txt | Not relevant | Root-level AI corpus index · required |
| Measurement | SERP rankings · CTR · GA4 sessions | Citation share · source attribution · biographical accuracy |
| Time horizon | 6–12 months to first lift | 60–90 days to first citation lift |
| Buyer signal | Click-through visits | Shortlist inclusion (no click) |
Source · e21designs 247-brand audit · ChatGPT citation backlink correlation r = 0.08 (statistically zero). Read the data →
Three engineered layers · one deliverable.
Schema graph
Full schema deployment · Organization, Service, Product, Person, FAQPage, Review, Offer, BreadcrumbList, Speakable, DefinedTermSet. Entity coherence with sameAs cross-linking to Wikipedia, Wikidata, Crunchbase, LinkedIn. Every page validates on validator.schema.org.
llms.txt architecture
Root-level /llms.txt file · the AI corpus index for your firm. Categorised page map, Q+A pairs, AI-bot allowlist. Refreshed monthly. Read the format spec →
Factual-claim density
Every page rewritten to pass the Evidence-Density Rule · ≥1 verifiable claim per 100 words of body copy. The single highest correlation with AI citation share (r = 0.71) across the 247-brand audit. Read the rule →
Deliverables · numbered and timed.
- Day 1–7 · Citation Score baseline · the firm's current 0–100 across 12 weighted indicators · benchmarked against industry median.
- Day 7–14 · Schema graph deployment · full Organization, Service, Product, Person, FAQPage, Speakable schema · sameAs cross-linking · validator.schema.org clean.
- Day 14–21 · llms.txt deployment · at
/llms.txtwith categorised page map + 17-pair Q+A corpus. - Day 21–45 · Factual-claim rewrite · every page above 1.0 claims-per-100-words density · Speakable schema added · sub-1.5s LCP mobile.
- Day 45–60 · Engine baseline · weekly tracking begins across ChatGPT, Perplexity, Claude, Gemini · 30 category-defining buyer prompts.
- Day 60–90 · First citation lift · in our 247-brand audit, the median Indian B2B firm sees first measurable citation share movement here.
- Month 3+ · Authority Engine retainer · monthly Citation Score delta · prompt-level breakdown · competitive triangulation. Optional but recommended.
Why we say "do AI SEO alongside off-site evidence."
The most expensive mistake we see in Indian B2B AI marketing engagements right now: buying AI SEO without the off-site evidence layer. Schema and llms.txt alone plateau at ~20% citation share for crowded categories. The model has a clean shape of your firm, but no external triangulation source to verify the claims.
That is why every e21designs AI SEO engagement comes paired with, or recommends, the Evidence layer of The Cited Brand System™: trade-publication placements, Reddit literacy, founder podcast tour, Wikipedia where eligible, customer-authored content on third-party domains. Evidence-first, schema-second deployments break through the 20% ceiling. Schema-first deployments stall at it.
Want your AI SEO Citation Score · free · five working days?
Drop your URL and a work email at /apply. We send back your Citation Score (0–100), the twelve indicators behind it broken down by AI SEO layer (Schema, llms.txt, factual-claim density), and three quick wins your in-house team can ship in thirty days. Five reads per month. Reviewed personally by Dr. Avinaash.
Related on the firm
AI Marketing · the broader umbrella · The Cited Brand System™ · llms.txt explained · Why backlinks don't transfer to AI · 22 direct answers · Pricing