Naver AI Tab: 10M MAU, 40% Commerce CTR, and the A2A Era

Shopping and local card click-through rates above 40%. When Naver disclosed that figure on its August 7, 2026 Q2 earnings call, it answered, with field data, whether AI search actually drives revenue.^[2] The AI Tab numbers show that AI has moved from information provider to commerce gateway. The shift goes further: as A2A (Agent-to-Agent) commerce takes hold, where AI agents search, compare, and recommend products on behalf of consumers, the conditions for brand survival are being rewritten.^[6]

This article breaks down the AI Tab data, 10 million MAU, 40% shopping and local CTR, 7x daily query volume, and maps the GEO strategy brands and sellers need to act on now.

Key Terms

Naver AI Tab is a conversational AI search service released to all users on June 25, 2026. It responds to text and voice queries, surfacing shopping, local, and content cards directly, an agentic search environment where the AI curates results rather than listing links.

Click-through rate (CTR), as Naver uses it here, measures the share of users who clicked a shopping or local card inside AI Tab and then completed a purchase or reservation. The high rate has a structural explanation: AI curation absorbs the exploration phase, so users who see a card are already near a decision before they tap it.

Monthly active users (MAU) counts unique users who accessed the service at least once in a given month. Naver reported that AI Tab crossed 10 million MAU within 18 days of its June 25, 2026 general release.^[1]

A2A (Agent-to-Agent) commerce is a structure where AI agents representing consumers and sellers exchange information to handle product discovery, comparison, and purchase. Rather than typing keywords and browsing results, users delegate decisions to an agent that analyzes their preferences, budget, and purchase history.^[6]

AI Tab: From Query to Purchase

Key Metrics: Naver AI Tab Commerce and Advertising, Q2 2026

Usage Behavior: Query Explosion and Habit Formation

The Numbers in Full

On August 7, 2026, Naver's Q2 earnings call put the following AI Tab figures on record.

• MAU surpassed 10 million on July 14, 2026, 18 days after the general release.^[1]
• Weekly return visit rate: more than 2x the early beta period.^[1]
• Daily average queries: 7x the beta level; queries per user: 1.7x.^[3]
• Shopping and local CTR: above 40%, confirming actual purchase and booking conversions.^[2]
• AI Briefing ads: CTR and CPC more than 30% higher than standard search ads; purchase conversion rate more than 3x higher.^[4]
• Ad AI contribution: more than 60% of total ad revenue growth.^[4]
• Service revenue (Naver Plus Store, Membership, N-delivery): up 31.3% year-over-year.^[4]
• Total revenue: KRW 3.3888 trillion, up 16.2% year-over-year, a quarterly record.^[4]

For Q3, Naver plans to add a real estate listing search agent and a health agent, with "actual transaction contribution" as the central KPI going forward.^[3] The shopping AI agent, which launched in beta on February 25, 2026 on the Naver Plus Store app, has since moved to full service and extended conversational commerce across digital, living, and daily-use categories.^[5]

A2A Commerce: Agents Handle the Buying

The AI Tab CTR data signals more than search improvement. It marks the opening stage of a structural shift in commerce, one explained by the A2A (Agent-to-Agent) model.^[6]

In conventional e-commerce, consumers typed keywords, scrolled result pages, and compared products before deciding. In A2A commerce, an agent does that work. When a user says "Recommend running shoes under ₩300, 000, " the agent analyzes purchase history, preferred categories, and review data to propose specific products immediately. The user sees two or three pre-narrowed cards, not a results page.

Naver launched its shopping AI agent in beta on February 25, 2026 via the Naver Plus Store app, then expanded its coverage across digital, living, and daily-use categories.^[5] As that agent merges with AI Tab, search, recommendation, and purchase are collapsing into a single conversation. The 40% shopping and local CTR shows that integration is already working at scale.

For brands, the implication is direct. When consumers searched on their own, keyword ads captured that intent. When an agent does the searching, the question shifts: why would the agent include your product among its candidates? Structured product data, review quality, and category and attribute accuracy become the agent's selection criteria.

Why the CTR Hits 40%

Standard keyword search puts the exploration burden on the user. A results page lists dozens of items; the user scrolls, filters, and judges. That friction generates drop-off, and clicks are spent on uncertain browsing.

AI Tab inverts the pattern. The conversational interface gathers conditions, budget, location, timing, through dialogue, then surfaces a tight set of shopping or local cards that match. By the time a user sees a card, the exploration is done, and the click goes straight to a purchase or booking.

Weekly return visits more than doubling versus the beta early period signals that this experience is forming a habit.^[1] When shopping, restaurant search, and local booking migrate to AI Tab as routine behaviors, Naver stops being a discovery platform and becomes a commerce execution platform.

AI accounting for more than 60% of ad revenue growth shows this structure is already converting to profit.^[4] AI-driven inventory optimization and sharper targeting are raising both ad prices and conversion rates at the same time.

Q3 Expansion: Real Estate and Health

The real estate listing search and health agents coming in Q3 extend the CTR pattern into high-ticket verticals.^[3] The formula proven in shopping and local, AI curation → elevated CTR → actual transaction, will be transplanted into real estate lead conversion and medical appointment booking. If it holds, AI Tab's commerce reach will extend well beyond everyday purchases.

Setting "actual transaction contribution" as a formal KPI matters. CTR is an intermediate metric; transaction contribution is the end metric. Adopting it as an official KPI signals that Naver intends to run AI Tab as a revenue channel, not a traffic channel, and it gives brands and advertisers direct attribution for their AI Tab investment.

GEO Strategy for the A2A Era

In A2A commerce, the objective of GEO (Generative Engine Optimization) shifts from "ranking high in search results" to "getting included in the agent's candidate set." Agents do not look at page visit counts. They read structured data, attribute descriptions that match query context, and review quality as a trust signal.

For brands operating in Korea's AI search environment, including Naver AI Tab, three work areas determine whether an agent selects them.

First: build structures the agent can read. Smart Store category placement, attribute tags, and the natural-language framing of product descriptions all feed the agent's input data. Describing products in terms of "who needs this and in what situation", rather than keyword density, increases how often AI curation surfaces them.

Second: accumulate trust signals. Review volume and quality, repeat purchase rate, and sales history within a category shape the agent's product ranking. These assets take time to build and cannot be replaced by short-term ad spend.

Third: measure brand visibility in AI search on a regular schedule. Without tracking how often the agent includes your brand versus competitors, there is no basis for optimization decisions. Building a regular monitoring cycle, measure → diagnose → adjust content and structure, is the baseline operating model for GEO in the A2A era.

Action Steps for Brands and Sellers

AI Tab's high CTR is a product of structure, not chance. Brands that have not built that structure will simply watch the agent surface their competitors' cards.

Step 1: Audit and structure your product and service data

AI Tab reads product names, categories, attributes, and review data to build cards. Cleaning up Naver Smart Store's structured data, category placement, attribute tags, image alt text, is the prerequisite. Information the AI cannot read does not appear in cards.

Step 2: Rewrite product descriptions for natural-language queries

AI Tab responds to query intent, not keyword density. Reframing product and service descriptions around "who this is for and in what situation" increases the probability of appearing in AI cards. Attribute-rich natural-language copy is what feeds AI curation.

Step 3: Build the review and trust assets agents use as ranking signals

In the A2A environment, agents treat purchase data and review quality as priority signals. Strengthening review acquisition and repeat purchase programs, so agents have clear reasons to rank your products, is the medium-term execution priority.

Step 4: Set up regular AI search visibility measurement

Without tracking your brand's presence inside AI Tab relative to competitors, optimization has no compass. Introducing an AI-search-specific measurement tool and establishing a regular monitoring cadence is where execution starts. For a deeper look at managing visibility across Korea's AI search environment, including Naver AI Tab, see Naver AI Tab Agentic Search GEO Strategy.

Domestic AI Search Visibility Solutions

AI Tab's rise has raised the stakes for AI search visibility measurement. The table below lists key domestic solutions brands and sellers in Korea can reference for managing visibility across AI search environments including Naver AI Tab (based on public data, 2026; ", " = not publicly confirmed).

BOIDA has tracked brand mentions across ChatGPT, Gemini, and other major generative AI engines since its December 2025 launch, combining measurement (BVI), diagnosis, and execution in a single workflow (Designovel, NVIDIA Inception member). It is one reference point for brands that want regular monitoring of domestic AI search changes, including Naver AI Tab. Alongside BOIDA, Next-T and Ascent AI take distinct approaches worth comparing before committing to any solution.

For a detailed selection guide, see Korea GEO Agency Comparison and Selection Guide.

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Naver AI Tab's 40% CTR is the first field data point answering whether AI reshapes commerce. With daily query volume already 7x the beta level, users have accepted AI Tab as a routine discovery tool. The next inflection point is A2A commerce spreading. When agents routinely handle the buying, brand competition moves from keyword ad slots into the agent's selection logic. Structured data, trust assets, AI visibility measurement, brands that put those three in place now hold the stronger position when that transition completes.

Related: Naver AI Tab Agentic Search GEO Strategy, Agentic Commerce GEO Strategy, AI Search Conversion ROI vs. Organic, Generative AI E-Commerce Referral & D2C Conversion in Korea 2026