CASE STUDY 1 · AI VISIBILITY — ENTERPRISE B2B
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.
The Challenge
The company had invested heavily in SEO over three years. Their website ranked on the first page of Google for several competitive cloud consulting terms. They had published regular technical blog posts, earned backlinks from AWS partner pages, and held five AWS competencies including GenAI and Data and Analytics.
When their marketing lead started asking ChatGPT and Perplexity for "best AWS consulting partners India" and "top cloud migration firms Bengaluru," the firm did not appear once. Smaller, less established competitors were being recommended instead. The gap between their Google presence and their AI presence was total.
What the Diagnostic Found
robots.txt was blocking GPTBot, ClaudeBot, PerplexityBot, anthropic-ai, Google-Extended, and OAI-SearchBot simultaneously. Every AI crawler that visited the site received a formal block instruction. The file had been written before these crawler user-agents existed and had never been updated.
Despite holding ISO 27001 and SOC 2 Type II certifications, neither credential appeared in any structured data on the website. AI platforms cannot extract credentials they cannot read as structured facts.
The firm was absent from Clutch, G2, and Crunchbase in the cloud consulting category. Every competitor appearing in the AI responses had at minimum 12 verified reviews on Clutch. The firm had none.
What Dattva Did
Week 1 — Technical foundation: the Dattva AI Visibility Diagnostic ran their 10 agreed buyer prompts across all four major AI platforms and mapped every source URL appearing in competitor citations. robots.txt was updated to explicitly allow all AI crawlers. llms.txt was created and deployed at the root domain, describing the firm's services, competencies, and named client sectors in structured plain text. Organisation schema was added to the homepage with sameAs links to all partner pages and LinkedIn. Service schema was deployed for each of the five AWS competencies.
Weeks 2–4 — Content restructuring: the top five service pages were rewritten to open with a direct answer to the most common buyer query for that service. Each page received a FAQPage schema block with five buyer questions answered in the first sentence. A comparison page was published: "AWS Consulting Partners India — What to Look For and Why Credentials Matter."
Weeks 5–8 — Citation building: Clutch profile created and five client review requests sent. G2 category listing added under Cloud Consulting India. Crunchbase profile completed. A genuine response posted to a high-traffic Quora thread asking about cloud migration partners in India — the response cited specific cost reduction data from a completed project.
Weeks 9–11 — Monitoring and adjustment: weekly prompt checks showed movement beginning in Week 7 for two branded prompts and one category prompt. By Week 11, four of ten prompts showed the firm cited across at least two platforms.
The Lesson
The most common reason a technically strong Indian B2B firm is invisible in AI responses is not weak content — it is a robots.txt file written before AI crawlers existed. Fixing the access problem costs nothing. Not fixing it makes every other investment in content and SEO irrelevant for AI citation purposes.
Read how the AI Visibility Diagnostic works.
FAQ
Why was a well-ranked website invisible to AI platforms?
The website ranked well on Google because Googlebot could access it. AI crawlers — GPTBot, ClaudeBot, PerplexityBot — are different user-agents that must be explicitly allowed in the robots.txt file. The file had been set up correctly for traditional search crawlers but had never been updated for the AI crawler names introduced between 2023 and 2025.
How long did it take to see results after the robots.txt fix?
The first AI citations appeared in Week 7 — six weeks after the technical fixes were deployed and four weeks after the first structured content was published. Citations in community platforms (Quora, Reddit) appeared faster than citations in ChatGPT browsing responses, which depend on Bing re-indexing the updated pages.
What made the Clutch reviews so important?
87% of ChatGPT citations match Bing's top three organic results, and Bing weighs third-party review signals heavily for B2B service providers. Every competitor being cited had verified reviews on Clutch or G2 — not because AI platforms read Clutch directly as a primary source, but because Clutch pages rank in Bing, and Bing feeds ChatGPT.
Can any company replicate this approach?
Yes. The technical fixes — robots.txt, llms.txt, schema — are standard implementations that any developer can complete in a day. The citation building takes longer because it involves earning real reviews and publishing genuinely useful structured content. The timeline depends on how quickly review requests convert and how fast Bing re-indexes the updated pages.
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