TL;DR

This is a focused guide on Schema for Indian Addresses: PostalAddress + Geocoordinates Done Right for Indian businesses in 2026.
Five practical patterns are covered with examples specific to Tier-2 city dynamics.
The asymmetric opportunity: most Indian competitors haven’t applied these patterns yet.
Expected outcome timeline: visible lift in 4-12 weeks of consistent application.
Read alongside our AEO Playbook and GEO Masterclass for the full system.

Why this matters in 2026

The exact JSON-LD format for Indian business addresses that AI engines parse correctly. Indian businesses face a unique window — Tier-2 city queries remain undersaturated, AI Overviews are rolling out broadly, and the businesses who establish topical authority in the next 12-18 months will compound those gains for years. The pattern that wins: structural clarity (TL;DR, FAQ, schema), specific named entities, and consistent publishing cadence.

The 5 patterns

1. Lead with the answer

Every section should answer the question in the first sentence after the H2. AI engines extract first-sentence answers; readers reward direct communication. The cost is rewriting marketing copy that previously buried the answer.

2. Use named entities aggressively

Replace generic claims with specific named entities — clients, ₹ amounts, dates, locations, person names. A claim like “we’ve helped many businesses grow” gets paraphrased into the LLM voice. A claim like “ATIL drove ₹150 Cr for 150+ brands across 2019-2026” gets cited verbatim.

3. Format diversity

Each page should mix prose paragraphs, tables, numbered lists, FAQ, and schema. Each format unlocks different AI Overview pathways. Six formats = six citation surfaces; pure prose = one.

4. Schema everywhere

Article + FAQPage + Organization minimum. Add Product, Service, HowTo, BreadcrumbList as relevant. AI engines treat schema as ground truth — without it, your facts get paraphrased instead of cited.

5. Indian-specific context

Use ₹, lakh/Cr, city names, and bilingual phrasing in FAQ. The single most undervalued tactic: include Hinglish phrasing (“X mein”, “Y kaha milta hai”) in at least one FAQ question per page.

Common mistakes

Treating this as a one-off optimisation rather than a sustained discipline
Skipping schema because “Google figures it out anyway” (it does for SEO; AI engines don’t)
Writing for keywords rather than questions
Generic content with no specific Indian context (₹, lakh, city)
Forgetting to update older content

FAQ

How long until I see results?

4-8 weeks for low-competition queries; 3-6 months for moderate competition.

Do I need to rewrite my entire site?

No — apply to top 20 traffic pages first. The pareto holds.

Is this different from classic SEO?

Layered on top. Classic SEO patterns still matter; AEO/GEO patterns are additive.

What’s the role of AI in producing this content?

Drafting can be AI-assisted. Editing for specifics (named entities, ₹ amounts, real examples) must be human.

How do I measure success?

Search Console + AI Overview citation rate + branded query growth. We document the methodology in AI SEO measurement.

Next steps

Get a free audit — we’ll review 20 pages and identify which patterns will move the needle fastest.

Schema for Indian Addresses: PostalAddress + Geocoordinates Done Right