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Pillar · P6 — Local B2B AI SEO Proof

Local B2B AI SEO case studies — city by city, vertical by vertical

The WebFlur running index. Every case here follows the same shape: baseline audit, week-by-week rebuild, 60-day citation timeline, honest outcome numbers.

Pankaj Raghav
Founder, WebFlur
Sep 21, 2026
5 min read
Last updated Oct 2, 2026
Local B2B AI SEO Case Studies — City by City, Vertical by Vertical (WebFlur P6 pillar hero)

Local B2B AI SEO case studies are engagement write-ups where WebFlur restructured a specific B2B company — in a specific city, in a specific vertical — from AI-invisible to cited in ChatGPT, Perplexity, Claude, and Google AI Overviews. This page is the running index. Every case here follows the same shape: baseline audit, week-by-week rebuild, 60-day citation timeline, honest outcome numbers.

This is the P6 cluster hub. It exists because generic AI SEO advice — "add schema", "write for AI" — collapses the moment you have to ship it for a real Indian B2B company with a real Gurgaon office and a real 60-day deadline. City matters. Vertical matters. Team size matters. The cases below are the evidence.

WebFlur runs these rebuilds out of our WebFlur Gurgaon office in Sector 14 and — for US clients — out of WebFlur New York. The delivery model is remote-first; the city labels reflect where the client is based, not where the work is done.

Gurgaon (Delhi NCR) — India B2B rebuilds

  • AI SEO Agency in Gurgaon — the 2026 B2B playbook (hub spoke) — the head-term guide for Gurgaon B2B brands. What AI SEO means for Cyber City, DLF, Udyog Vihar, Sohna Road, and Golf Course Extension Road teams. Six citation signals from a 45-Gurgaon-site audit, four named case studies, 7-criteria buyer checklist for evaluating agencies, and 2026 pricing bands (INR 8–22 lakh). Anchor spoke for every other Gurgaon rebuild below.
  • Gurgaon HR-tech SaaS — 60-day AI citation rebuild — a 35-person Udyog Vihar people-analytics SaaS went from 0 citations across a 48-query buyer-intent panel to 41 in 60 days. Full week-by-week sprint plan, the 6-step playbook, and the pre-launch checklist.
  • Gurgaon fintech (payments infra) — 90-day AI citation rebuild — a 62-person Series-B DLF Cyber City Phase 3 payment orchestration SaaS (RBI PA-licensed, PCI-DSS L1) went from 3 to 58 AI citations across a 52-query CFO/treasury-head panel in 90 days, plus one sustained Google AI Overview inclusion for "payment orchestration India". Six one-week sprints, compliance-cleared extractability rewrite, named-competitor comparison, ungated developer docs, A2A endpoint at /.well-known/agent-card.json.
  • Gurgaon legal-tech CLM — 90-day AI citation rebuild — a 40-person Series-A DLF Cyber City Phase 2 contract lifecycle management SaaS went from 2 to 47 AI citations across a 48-query General Counsel + Head of Legal Ops panel in 90 days — a 23× lift. Named alongside Ironclad and Icertis in 22 of 47 responses by Day 90. Indian-statute sameAs anchoring (Indian Contract Act 1872, DPDP 2023, IT Act 2000) is the legal-tech citation cheat code; non-privileged clause-library structured HTML was the largest single citation lever.
  • Gurgaon D2C kitchen appliances — 90-day AI citation rebuild — a 65-person Series-A D2C kitchen appliances brand at Udyog Vihar Phase 5 (HQ) + Sector 44 (warehouse) went from 4 to 68 AI citations across a 60-query Indian home-cook buyer panel in 90 days — a 17× lift plus 2 sustained Google AI Overview inclusions. Four SKU categories, 19 SKUs. SKU-level Product JSON-LD + BIS/BEE regulator anchoring, 200-review-per-SKU corpus rebuild as structured HTML, 10 honest comparison articles vs Prestige/Wonderchef/Bajaj/Havells/Preethi.
  • Delhi NCR healthtech (HIMS) — 90-day AI citation rebuild — a 55-person Series-A HIMS SaaS at Okhla Phase II (South Delhi), serving 40+ hospitals across Delhi, Gurgaon, and Noida, went from 3 to 52 AI citations across a 52-query Hospital IT Director + CMO panel in 90 days — a 17× lift plus 2 Google AI Overview inclusions. The first P6 spoke to map the three-track Delhi NCR hospital procurement split (Delhi government GeM Portal, Gurgaon private IT Committee RFP, Noida PMJAY-scheme). Ungated NABH module spec as structured HTML was the single largest citation lever in the rebuild — with no parallel in fintech or legal-tech.
  • Noida ManufacturingTech (MES + OEE) — 90-day AI citation rebuild — a 42-person Series-A MES + OEE SaaS at Sector 62 Noida, serving Greater Noida auto-ancillary, Noida Phase 2 pharma, and Noida EPZ electronics, went from 2 to 47 AI citations across a 48-query VP Manufacturing + Plant IT Head panel in 90 days — a 23× lift. First P6 spoke to cover the Indian manufacturing vertical and the three-track NCR procurement split (enterprise SAP / mid-market OEE / MSME scheme). Ungated OEE benchmark report as structured HTML + IATF 16949 audit-trail spec was the single largest citation lever; PDF-gated data generated 7× fewer citations than equivalent HTML-published content across 18 NCR manufacturing SaaS vendors audited in Q3 2026.

More verticals in the pipeline: martech SaaS, logistics tech, proptech.

Delhi NCR — YMYL and local services

Cross-vertical (not city-specific — reference cases)

What every case in this cluster has in common

Every P6 case follows the same shape so you can compare like-for-like:

  1. Baseline query panel — 40–60 buyer-intent queries logged across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Google AI Mode. Citation count per assistant, before and after.
  2. Named vertical + team size + city sub-locality — not "a SaaS company", but "an Udyog Vihar HR-tech SaaS with a 35-person team".
  3. Week-by-week sprint plan — what shipped in Week 1, Week 2, Week 3. Not a marketing narrative — the actual sprint plan.
  4. Numbered outcomes — citation count deltas, panel coverage percentage, first-external-agent-query date. Not "meaningful improvement" — specific numbers.
  5. The 6-step playbook — the repeatable sequence: baseline audit → extractability rewrite → three-schema stack + FAQ → ungate proof → category page + entity anchoring → A2A endpoint.
  6. The pre-launch checklist — 12–15 items every WebFlur reviewer runs before a rebuild ships.

What this cluster is not

It is not a portfolio brag page. It is not marketing copy. Every case is written to be independently useful to a founder in the same city or vertical who wants to run the same rebuild internally. If you can read one case here and replicate it without hiring us, that's a win for the cluster — because the ones who can't (or don't want to) will call us anyway, and the ones who can will send us the ones who can't.

Roadmap for this cluster

WebFlur is publishing one new P6 case study every 2–3 weeks. Current planned pipeline:

  • Gurgaon fintech (payments infrastructure) — Q4 2026
  • Gurgaon legal-tech (contract-lifecycle SaaS) — Q4 2026
  • Gurgaon D2C (kitchen appliances) — Q1 2027
  • Bengaluru B2B SaaS (developer tools) — Q1 2027
  • Mumbai fintech (wealth-tech) — Q1 2027
  • New York US enterprise SaaS — Q1 2027

Each will follow the same shape as the Gurgaon HR-tech case linked above. Bookmark this page; the index updates whenever a new case ships.

Sources & further reading

Want your company as the next case study?

Book a 20-min AI SEO audit →
Pankaj, Founder of WebFlur
Written by
Pankaj Raghav
Founder, WebFlur — AI SEO & Agentic Presence Engineer

Pankaj has spent a decade building SEO infrastructure for B2B companies. He co-founded WebFlur to focus exclusively on the shift from Google-first to AI-first discovery — engineering GEO, AEO, and A2A endpoints that put B2B brands inside AI assistant answers. Connect on LinkedIn.

Frequently asked questions

A local B2B AI SEO case study is a documented engagement showing how a specific B2B company — anchored to a specific city and vertical — was restructured from AI-invisible to cited in ChatGPT, Perplexity, Claude, and Google AI Overviews. WebFlur publishes these as week-by-week rebuild plans with numbered outcomes, not marketing narratives.
Because buyer queries increasingly include location intent (e.g. 'HR tech platform for Indian mid-market companies'), and because local competitors, local integrations, and local buyer language change the extractable content you need to ship. A US-headquartered playbook rarely transplants cleanly to a Gurgaon rollout.
Sixty days end-to-end for a mid-market B2B SaaS with a reasonably well-structured existing site. Five one-week sprints plus a two-week compounding window where nothing ships and everything gets measured. Some verticals (YMYL, regulated industries) run longer.
Yes. Every case in this cluster documents the sequence, the checklist, and the outcome mechanics. If you have an in-house engineer who can implement JSON-LD, write extractable copy, and stand up an A2A endpoint, you can replicate the playbook. Most of our clients could have — they hired us for speed and for the query-panel measurement discipline, not because the moves are secret.
Book a 20-minute AI SEO audit. If your case teaches something the existing pipeline doesn't already teach (new vertical, new city, new engine mechanic), we'll offer a discounted rebuild in exchange for permission to publish the case under an agreed anonymisation level.