AI Search Visibility Research and Methodology
Original methodology and frameworks from ibs Fulcro's AI search and technology teams, published as primary research, not marketing content, organised into AI Search Visibility, Privacy & Measurement, and Original Data.
The ibs Fulcro AI Search Visibility Methodology: A Canonical Reference
This is the real, complete method behind every AI Search Visibility number we publish, prompt sampling, the brand-anchored vs. unprompted distinction, how we score coverage and position, and where this approach still has real, honest limitations.
Read the methodology →Original ResearchHow to Estimate AEO Prompt Volume: A Calibrated Method
Keyword research tools measure typed queries submitted to search engines. They do not measure prompts submitted to AI assistants. This is the four-stage method ibs Fulcro uses to size Answer Engine Optimisation demand from first-party product data, calibrated against measured search volume, without relying on per-prompt data that no commercial provider currently publishes.
Read the methodology →Original ResearchThe Owned-Citation Gap: What Five AI Visibility Scans Reveal About Who AI Actually Recommends
ibs Fulcro's AI search analysts ran five independent Velivo One AEO scans across five unrelated categories, cement, oral care, health drinks, paint, and whisky, tracking how often ChatGPT and related AI engines actually recommend real, named brands versus their competitors. The same structural pattern showed up in every single one.
Read the methodology →Buyer's GuideBest Social Media Agency in India: A Buyer's Guide (2026)
Search "best social media agency in India" and you'll get a dozen lists that read the same: a handful of names, a paragraph each, and a recommendation that somehow always favors whoever's paying for the pixels. This guide takes a different approach.
Read the methodology →Buyer's GuideBest Social Media Agency in Mumbai: What Makes Mumbai Different (2026)
A lot of India's social media agencies happen to be based in Mumbai. The industry itself grew up here. That has real, practical consequences for how you shortlist an agency in this city.
Read the methodology →Original Research"Average Position" Is Quietly Broken as an AI Visibility Metric
Almost every AI visibility report leads with average position when mentioned. It's an intuitive number and it's quietly wrong, in a specific, provable way. Here's the failure mode, and the fix.
Read the methodology →Buyer's GuideBest Social Media Agency for Automotive Brands in India (2026)
ibs fulcro has run four named Tata Motors engagements, plus JK Tyre and Goodyear, with additional relationships spanning Hero MotoCorp, Bajaj Auto International, and Valvoline.
Read the methodology →Buyer's GuideBest Social Media Agency for BFSI Brands in India (2026)
ibs fulcro has 23 years of documented BFSI social media experience. Named work for Kotak Mahindra Bank, HDFC Bank, Canara HSBC, Zurich Kotak General Insurance, ASK Investment Managers, Nippon India Mutual Fund, and NPCI, with results published against each engagement.
Read the methodology →Buyer's GuideBest Social Media Agency for Consumer Durables Brands in India (2026)
ibs fulcro built DynaPrice for Bajaj Electricals, an automated pricing engine that lifted CTR by 300% and cut cost per sale by 52%, a technology-and-performance engagement built specifically for a durables retail context.
Read the methodology →Buyer's GuideBest Social Media Agency for FMCG Brands in India (2026)
ibs fulcro has real, documented FMCG campaign work spanning multiple brands and decades. Named work for Old Spice, Gillette, P&G Shiksha, and Pepsi, each with published reach or business results.
Read the methodology →How India's DPDP Act Breaks GA4 and Remarketing, and What Actually Fixes It
Under the DPDP Act, 2023 and the DPDP Rules, 2025, running GA4 scripts or firing Meta and Google remarketing pixels before a user gives explicit, affirmative consent is non-compliant, full stop. Here's exactly why, on what legal basis, and the real technical setup that keeps a brand's marketing measurable without breaking the law.
Read the methodology →Original ResearchHow to Enable Google Consent Mode v2, Step by Step, and What Happens to Meta and Google Remarketing
A real, technical walkthrough for setting up Consent Mode v2 through Google Tag Manager, built for Indian marketing teams working toward DPDP compliance. Plus two direct questions answered honestly: can this actually be implemented in India, and what genuinely happens to remarketing when a user says no.
Read the methodology →Original ResearchA Three-Layer Verification Model for GA4 Under DPDP, and the Real Cost to Remarketing
Consent-gated GA4 doesn't just lose some data, it loses it unevenly, and every brand ends up guessing how much. Here's a real, proposed framework for closing that gap, plus a direct, honest look at what consent decline actually costs D2C brands: remarketing, custom audiences, and a real, structural rise in acquisition cost.
Read the methodology →Original ResearchThe Cookie Consent Standard We Build to Under DPDP: A Complete Reference
This is the real, complete standard we hold every project to, not a summary of one. The non-negotiables, a reference banner pattern, working code, reusable copy, and a QA checklist a non-developer can run before any project ships.
Read the methodology →UltraTech Cement: Strong Where It Shows Up, Absent From Five Whole Categories
A 50-prompt scan across six buyer personas found UltraTech ranks first almost every time it appears, but returns zero mentions in waterproofing, putty, tile-fixing, crack-filler, and fast-track cement.
Read the methodology →Brand ScanDabur Red: 100% Positive Sentiment, 15% Coverage
A 20-prompt ChatGPT scan found Dabur Red ranks well and reads positively whenever it appears, but is absent from most of its own category, and from every clinical or trust-related question.
Read the methodology →Brand ScanBoost: Present in Half the Answers, Rarely the First Name
A six-engine scan running 30 prompts seven times each found Boost with real, stable coverage, but consistently named after its rivals, and after its own HUL stablemate Horlicks, more often than not.
Read the methodology →Brand ScanJSW Paints: Ninth of Eleven Brands, One Citation From Its Own Site
A 50-prompt scan across seven paint and building-product categories found JSW Paints almost entirely absent, never ranked first or second, and cited from its own domain exactly once.
Read the methodology →Brand ScanImperial Blue: Wins on the Shelf, Loses on Merit
A 25-prompt whisky scan found Imperial Blue ranking ahead of Blenders Pride whenever it appears, yet returning zero mentions across all ten recommendation and trust-related questions.
Read the methodology →Real, published, methodologically documented research. Not marketing content with a research label on it.
Let's talk about what this rigour could look like applied to your brand.
Start a ProjectPage last updated September 9, 2026.