10 case studies
2026.07.22

How a Cloud Consulting Firm in Bengaluru Went From Zero AI Citations to Appearing in 4 of 10 Buyer Prompts in 11 Weeks

A mid-sized AWS cloud consulting firm in Bengaluru was invisible across ChatGPT, Perplexity, Gemini, and Claude despite holding an AWS Premier tier partnership and a domain authority of 61. The root cause was a robots.txt file written in 2022 that blocked every major AI crawler. Eleven weeks after the fix, the firm appeared in 4 of their 10 agreed buyer prompts.

2026.07.22

The HR Tech Company That Was Being Described as "Basic ATS Software" by ChatGPT — And How That Changed

A Pune-based HR technology company had built an AI-powered talent matching platform. When their enterprise prospects asked ChatGPT about them, the response described them as a basic applicant tracking system — accurate for their 2022 product, not their current one. Correcting the AI's description and building their citation surface took 10 weeks and produced citations in 3 of 8 target prompts.

2026.07.22

Cosmetic Dentist in Banjara Hills Went From Invisible in AI to Recommended in 6 of 9 Hyderabad Neighbourhoods

A cosmetic and dental implants practice in Banjara Hills, Hyderabad, was not appearing when prospective patients asked ChatGPT or Perplexity for recommended cosmetic dentists in their neighbourhood. A dominant competitor with 1,750+ Google reviews was being cited in every query. After eight weeks of Local GEO work, the practice appeared in 6 of 9 tracked Hyderabad neighbourhoods.

2026.07.22

Interior Design Studio in Bengaluru: From Zero AI Mentions to Recommended Across 5 Neighbourhoods in 7 Weeks

A boutique interior design studio operating from Indiranagar, Bengaluru had strong word-of-mouth referrals but zero presence in AI responses when prospective clients asked ChatGPT or Perplexity for interior designers in their neighbourhood. Seven weeks of Local GEO work produced a Recommendation Share of 5 of 8 target Bengaluru neighbourhoods.

2026.07.22

The Cybersecurity Firm That Was Losing Procurement Shortlists Before the First Call

A Bengaluru-based cybersecurity firm offering VAPT, SOC services, and cloud security was being shortlisted by only one in three prospects who found them through AI research. Two competitors were consistently cited ahead of them for the same buyer queries. After deploying citation-native content and closing three specific citation gaps, the firm moved from appearing in 1 of 8 prompts to 5 of 8 in 9 weeks.

2026.07.22

HealthTech SaaS Platform: How Structured Content Moved the Needle From 0 to 3 of 10 AI Prompts in 45 Days

A Pune-based HealthTech SaaS company providing hospital management software was invisible in AI responses for every buyer query their sales team tracked. Competitors with smaller product footprints were being recommended because their content was structured for AI extraction. Forty-five days of content intelligence work produced citations in 3 of 10 buyer prompts.

2026.07.22

When AI Agents Could Not Use a Fintech Website — And How Fixing the Accessibility Tree Unlocked New Leads

A Mumbai-based B2B fintech company offering automated GST reconciliation software was structurally unreadable by AI agents. Their website had 62 empty buttons, 48 unlabelled form fields, and all pricing content rendered client-side in JavaScript. When Perplexity's agent tried to interact with their site, it could not complete any action. After an agent readiness overhaul, the company appeared in AI recommendations for three previously uncaptured buyer queries.

2026.07.22

IT Services Company in Chennai: Making the Careers Page Readable by AI Agents

A Chennai-based IT services company's career page was completely invisible to AI agents. All job listings were loaded dynamically via JavaScript after a user interaction. When AI platforms crawled the careers section to answer queries like "companies hiring cloud engineers Chennai," they received an empty page. After converting to server-rendered job listings with structured schema, the company began appearing in talent-discovery queries.

2026.07.22

EdTech Platform in Hyderabad: Correcting Three Factual Errors That Were Costing Enterprise Sales Calls

A Hyderabad-based corporate training and EdTech platform was losing enterprise sales calls because ChatGPT and Gemini were stating three factual errors about their company — wrong founding year, wrong client count, and a certification they had never claimed. Correcting the AI's description through entity management and structured content took six weeks and corrected the AI responses across four platforms, while one external source update remained pending.

2026.07.22

Chartered Accountancy Firm in Bengaluru: Local GEO for Professional Services in a High-Trust Buying Category

A Bengaluru-based chartered accountancy firm with specialists in startup taxation, international transfer pricing, and GST advisory was not appearing when prospective clients asked AI for CA firm recommendations in their area. Despite 18 years of operation and a strong referral network, they had zero AI recommendation share. Eight weeks of Local GEO work produced citations in 4 of 7 target Bengaluru neighbourhoods.

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