TalentRubric · Cited SAMPLE REPORT

AI Visibility Report

What AI says about you as an employer — and what to do about it.

Subject: illustrative self-audit · Engine: AI answer engine with live web search
Prepared by TalentRubric Growth Advisors · July 2026 · point-in-time, one-engine sample

1 · The verdict

When senior engineers ask AI "best product companies in Bengaluru to work for," Meridian Analytics India is absent from every list — while startups and named GCCs fill the shortlist. Meridian's parent has strong brand recognition in Europe but near-zero employer brand in India, so candidates who've never heard of it never consider it.

0 / 5 priority queries name Meridian  ·  AI sentiment where present: absent  ·  India employer brand: near-zero

2 · What AI says, query by query

Query a senior candidate asks AINamed?Named instead
"Best product companies in Bengaluru for senior engineers"Flipkart, Razorpay, Google, PhonePe
"Top GCCs to work for in India 2026"Well-branded GCCs; Meridian not among them
"Is Meridian Analytics India a good place to work"Little data found; no reviews to cite
"Meridian Analytics salary, culture, work-life balance"No extractable signal — thin AmbitionBox/Glassdoor
"Companies hiring ML engineers Bengaluru"Appears only where it runs paid job ads

The critical finding: candidates decide Meridian isn't worth considering before any recruiter touchpoint — the parent's European brand does not travel to the Indian talent market, and nothing extractable fills the gap.

3 · Why it matters — the market has moved

Independent India talent research, 2025–26. This is the pressure your employer brand now operates under.

Brand invisibility
45%

of mid-level engineers can't name three GCCs they'd work for. (Quantalent / NASSCOM)

Attrition
25–30%

voluntary attrition for AI/ML & senior eng roles at India GCCs. (Aon 2025)

The real driver
42%

who leave cite career progression, not salary. (NASSCOM 2025)

Ownership works
+34%

higher offer acceptance when a GCC names specific ownership. (Deloitte 2025)

Open to leave
52%

of India GCC employees are open to new roles now. (Industry 2025–26)

Learning budget
11–15%

lower attrition where formal learning budgets exceed ₹1.5L/engineer. (Mercer 2025)

4 · The source-stack diagnosis

AI answers synthesise from a stack of sources. Here's what's driving — or starving — the citations.

SourceState
Careers pageSits under the global parent site; no India-specific, extractable "what you'll own here" content
Review footprintThin — few Glassdoor/AmbitionBox reviews, several unanswered; too little for AI to cite
Employee voiceNear-silent — India engineers don't post; no day-in-the-life signal exists to surface
Ownership narrativeParent describes India as "delivery"; no stated end-to-end ownership — the top driver of senior offer acceptance

5 · The 90-day plan

  1. Publish an India-specific careers page stating what the Bengaluru team owns end-to-end (global product, not "delivery") — extractable, one claim per sentence, dated. Days 0–30
  2. Answer the fan-out questions candidates ask AI — pay philosophy, growth path, remote policy, learning budget — as clear, honest content. Days 0–30
  3. Activate employee voice — a handful of engineers posting real work, plus responding to existing Glassdoor/AmbitionBox reviews. Days 30–60
  4. Build the ownership narrative — one strong piece on the global charter the India team holds, the +34% offer-acceptance lever. Days 60–90

Target: appear in "top GCCs to work for in India" and Meridian's own name-queries within 90 days, with sentiment that reflects the real ownership and growth on offer.

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Note: Meridian Analytics India is a fictional example company used to illustrate a typical result; any resemblance to a real firm is coincidental. Method: candidate queries run against an AI answer engine with live web search; mentions and sentiment reviewed by a human analyst. Limits: results are point-in-time and reflect one engine — engines vary and answers move, so we track trends, not single runs. Market metrics are sourced third-party research (NASSCOM, Aon, Mercer, Deloitte, 2025–26), shown as market context, not the subject firm's own results. Ethics: this practice never creates fake reviews, astroturfed threads, or manufactured sentiment — the durable fix is publishing genuine, extractable proof of real work.