Similarweb Earnings Call: AI Momentum Amid Volatility

Similarweb Ltd. ((SMWB)) has held its Q4 earnings call. Read on for the main highlights of the call.

Similarweb’s latest earnings call struck a cautiously optimistic tone. Management highlighted durable profitability, a strong balance sheet, and accelerating AI revenue, even as delayed large language model contracts, sub‑100% net revenue retention, and lumpy deal timing weighed on recent results and injected more uncertainty into near‑term guidance.

Steady Revenue Growth Amid Q4 Timing Bumps

Revenue in Q4 2025 grew 11% year over year to $72.8 million, extending Similarweb’s track record of double‑digit top‑line expansion. Management stressed that the quarter’s shortfall versus guidance was driven less by demand weakness and more by the timing of a handful of large contracts that slipped beyond year‑end.

AI Revenue Becomes a Real Growth Engine

AI‑related sales are moving from experimental to meaningful, reaching 11% of Q4 revenue, up from 8% at the end of Q2 2025. The company said AI revenue grew roughly threefold versus last year, underscoring rising commercial traction as customers adopt AI intelligence, agents, and data products at scale.

Consistent Profitability and Free Cash Flow

Similarweb delivered its ninth straight quarter of positive free cash flow and generated about $13 million for the full year. It also posted its second consecutive year of non‑GAAP operating profit, with Q4 non‑GAAP operating income of $3.4 million and a 5% margin, up from $2.6 million and a 4% margin a year ago.

Balance Sheet Provides Ample Safety Net

The company ended 2025 with $72 million in cash and cash equivalents, no debt on the balance sheet, and access to a $75 million credit line. Management argued this financial flexibility lets Similarweb keep investing in growth and R&D while still maintaining discipline around profitability and risk.

More Multi‑Year Contracts Boost Visibility

Contract durability improved as multi‑year annual recurring revenue rose to 60% of total ARR, up from 49% a year earlier. This 11‑point jump signals deeper customer commitment and better revenue visibility, with a growing portion of Similarweb’s business locked into longer‑term agreements.

Enterprise Customers Now Drive the Majority of ARR

Enterprise momentum remained solid, with customers spending over $100,000 annually increasing 12% year over year. These large accounts now account for 53% of ARR, and 63% of overall ARR comes from customers above the $100,000 threshold, underscoring Similarweb’s embedding within bigger organizations.

Product Launches and Partnerships Fuel AI Push

Management highlighted strong traction for new offerings including App Intelligence, cited as the fastest‑growing product, Gen AI Intelligence, AI agents, AI Studio, and MCP‑based integrations, plus expanded link‑ups with platforms like Bloomberg. A strategic partnership with Manus, now part of Meta, is expected to open additional distribution and agent‑driven monetization avenues.

Q4 Miss Tied to Slipped Large LLM Contracts

The Q4 revenue miss was largely attributed to two sizable data training contracts for large language models that did not close in time. Executives said these opportunities remain active but acknowledged that their size and structure make them inherently lumpy and difficult to place within specific quarters.

Net Revenue Retention Stuck Below 100%

Overall net revenue retention held at 98%, leaving the company short of its goal of consistent expansion across the base. While NRR for customers above $100,000 reached 103%, management admitted it is not satisfied with the overall level and sees room to improve upsell performance and retention outside the largest accounts.

Sales Productivity and GTM Execution Under Review

Sales productivity lagged expectations given hiring and outbound investments made in 2025, contributing to longer sales cycles and lower yields. In response, the company is restructuring parts of its go‑to‑market motion, including creating a dedicated LLM team and refining territory and account coverage to better match demand patterns.

Forecasting Complicated by Deal Lumpiness

Management widened both annual and quarterly revenue guidance ranges to reflect the difficulty in predicting when large AI and LLM transactions will close. With a roughly $10 million spread in the full‑year outlook, investors were told to expect more variability around individual quarters as these big‑ticket deals move through the pipeline.

One‑Time AI Deals Add Volatility to Metrics

Some AI revenue stems from one‑time or non‑recurring LLM licensing and training projects, which can distort NRR figures and magnify revenue lumpiness. The strategic goal is to migrate more of these AI evaluations into recurring subscriptions and ARR, but management acknowledged execution risk in shifting customers to that model.

Scrutiny on Core Non‑AI Growth

Analysts pressed on whether the core, non‑AI business is slowing when large AI contracts are absent. Management maintained that the underlying platform is still growing, yet conceded it must accelerate expansion and lift NRR beyond top enterprise accounts to demonstrate more durable, broad‑based momentum.

Market Volatility Forces GTM Adaptation

Similarweb also flagged macro and industry headwinds, including search traffic declines, shifting digital marketing budgets, intensifying competition in gen‑AI and visibility tools, and weaker end‑markets in some segments. These trends are pushing the company to adapt pricing, packaging, and sales focus to better align with evolving customer priorities.

Guidance Signals Cautious Growth With Profit Focus

For 2026, Similarweb is guiding revenue to $305 million to $315 million, implying about 10% growth at the midpoint, and non‑GAAP operating profit of $16 million to $19 million. First‑quarter revenue is expected between $72 million and $74 million, with non‑GAAP operating profit of $0.5 million to $2.5 million, framing a strategy of steady but cautious growth while preserving profitability and ongoing R&D investment.

Similarweb’s earnings call painted a picture of a company balancing real AI‑driven upside and improving contract quality against choppy execution and lumpy large deals. For investors, the story hinges on whether management can convert sporadic AI wins into recurring ARR, lift net revenue retention, and sustain double‑digit growth without sacrificing the profitability discipline it has just established.