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Info Edge's Shiksha sees Q2 billings drop 27% on AI traffic

Info Edge's Shiksha posted a 27% year-on-year drop in Q2 billings, with AI-driven traffic loss identified as a key factor behind the decline.

Info Edge’s Shiksha faces AI traffic headwinds as Q2 billings fall 27% - MediaNama
Info Edge’s Shiksha faces AI traffic headwinds as Q2 billings fall 27% - MediaNamaAI-generated
  • Shiksha's Q2 billings fell 27% year-on-year.
  • Info Edge attributes pressure on the platform to AI-related traffic headwinds.
  • MediaNama reported the figure as part of a wider pattern of AI answer engines cutting publisher traffic.
  • The company's other verticals (recruitment, real estate) face similar structural exposure.

Info Edge's education platform Shiksha recorded a 27% year-on-year fall in billings for the second quarter, and the company points to AI-driven traffic headwinds as a key reason. That's a confirmed financial figure from the parent company's results, not a tool signal or an estimate. It's one of the clearest numbers yet linking AI search behavior to a listed internet company's revenue line.

Shiksha is a study-abroad and college-search vertical. Students use it to compare courses, exams and universities. Like most listing businesses, it depends heavily on search traffic arriving at profile and review pages. When AI assistants answer those questions directly, the click often never happens.

What does the 27% actually represent?

The figure covers billings, not gross revenue, and it's a year-on-year comparison for Q2. A drop of that size in a single quarter is steep for a classifieds-style business that had been scaling steadily. MediaNama, which first reported the number, frames the decline squarely within the industry-wide pattern of publishers and aggregators losing discovery traffic to AI answer engines.

Here's the mechanism in plain terms. A student previously searched "best MBA programs in Canada" and clicked through to Shiksha's listings, where monetization happens. Now an AI Overview or chatbot summarizes the answer using content from sites like Shiksha. The user gets the value. The site gets no visit, no ad impression and no lead.

The takeaway: this is a monetization problem caused by traffic loss, not a demand problem in study-abroad itself.

Confirmed versus inferred

Confirmed: the 27% billing decline for Q2, attributed to Info Edge's own reporting. Also confirmed by context: MediaNama's reporting places Shiksha among a growing set of publishers and vertical aggregators reporting AI-related traffic pressure.

Speculation: any precise estimate of how many percentage points of the decline come specifically from AI Overviews versus seasonality, currency moves or the broader study-abroad market. The source doesn't break that down, so we won't either.

Why vertical sites feel this first

Comparison and listing sites sit in the danger zone for AI summarization. Their content is factual, structured and easy to condense. A university profile with fees, rankings and admission cutoffs is exactly the kind of page an AI answer can replace wholesale.

That's different from news or original analysis, where AI systems still cite sources more often. Shiksha's position — a middleman between student questions and institution listings — is structurally exposed when the middleman's page is the one AI skips.

In short: the more your page can be summarized without loss, the more AI answers threaten your funnel.

What it signals for the sector

Info Edge is a major Indian internet investor and operator, with holdings across recruitment (Naukri), real estate (99acres) and matrimony. If AI traffic pressure is now visible in one of its verticals at 27% billing decline, other listing businesses in its portfolio — and competitors like them globally — face the same test.

For search and SEO watchers, Shiksha is a case study worth tracking. It connects the abstract "zero-click" debate to a real P&L line. Watch the next two quarters: if billings stabilize, it suggests adaptation or market recovery; if the slide continues, expect more vertical publishers to redesign their models around direct traffic, communities and first-party data.

via Google News: AI Overviews (Source)

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Olivia Hart

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Staff writer covering money, funding and market shifts around Search rankings and algorithm updates, generative engine optimization at SERP Journal.

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