Customer story

An advisory firm earns 14 AI search citations from zero.

A Delhi investment advisory firm produced research-grade analysis that no AI search engine ever cited. Webzenia restructured the content for machine extraction with Speakable schema and direct-answer FAQs, so the firm's expertise could surface where buyers now begin their search.

Warm professional desk still life — Investment Advisory Firm, Delhi · Webzenia SEO case study
14
AI search citations
+34%
branded search volume
+28%
AI-referred sessions

The challenge

A Delhi investment advisory firm produced research-grade content and was cited by no AI search engine. Its analysis was the kind buyers and journalists reference, yet Google's AI overviews, Perplexity, and ChatGPT never surfaced it. AI citations stood at 0.

The gap was structural, not editorial. The firm's pages lacked the markup and answer-shaped formatting that AI engines extract, so authoritative content was passed over for thinner sources that happened to be machine-readable.

The approach

Webzenia started by auditing how AI engines were reading the firm's content. Test queries in Perplexity and ChatGPT, alongside Search Console data, confirmed the firm was eligible to be cited but never structured to be extracted.

The team implemented Speakable schema across 40 pages, marking the passages most likely to answer a direct question. This gave AI engines explicit, quotable answers rather than prose they had to interpret.

FAQs were restructured next. Webzenia rebuilt them into direct-answer-first blocks, using Semrush to align each question with the queries buyers actually ask, so the firm's expertise mapped to real demand.

A Screaming Frog pass confirmed clean rendering, and GA4 with Looker Studio tracked AI-referred sessions and branded search as the citations accrued.

The results

AI search citations moved from 0 to 14 across Google, Perplexity, and ChatGPT in 3 months. The firm's research finally surfaced where high-intent buyers now begin their search.

AI-referred sessions rose 28%, and branded search grew 34%. More people met the firm through an AI answer and then searched for it directly, a demand loop that did not exist before.

The citations compound. Speakable schema and answer-shaped FAQs keep the content extractable for every new engine, so each model that enters the market can cite the firm without further work.

AI Search · GSCAI search citations
AI search citationsafterbefore140

The stack behind it

  • PerplexitySearch
  • ChatGPTSearch
  • Google Search ConsoleSearch
  • SemrushSearch
  • GA4Analytics
  • Screaming FrogSearch
  • Looker StudioReporting

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