Site search is the one AI budget line retailers will not cut. Algolia’s sixth annual ecommerce search report, compiled by Coleman Parkes Research from surveys of 1,100 B2C decision-makers across five countries, ranked search the number-one digital investment priority. Fifty-eight percent cited revenue growth as the primary reason to spend. That figure rose nine points year over year.

Conviction shows in the numbers. Among companies that increased their search budgets, investment grew 6% year over year. Forty-two percent globally plan to raise that spending in 2026; in the UK the share reaches 50%. The pattern reads as institutional conviction.

The features earning that confidence are specific. Ninety-one percent rated search-by-image as the most valuable AI-powered capability. Eighty-nine percent cited AI-generated review summaries as the top benefit of generative AI in search. These tools sit inside live product flows where their contribution to conversion is tracked daily.

Most AI spending now faces harsher scrutiny. Ninety-five percent of enterprise generative AI projects produce no measurable financial return within six months, a finding from MIT’s GenAI Divide study as cited by CIO. Search occupies a different position in the budget because it never stopped producing attributable revenue. The CFO does not audit the line item that already has a number next to it.

Scale makes the reallocation visible. Gartner forecasts $2.52 trillion in worldwide AI spending for 2026, a 44% year-over-year increase, but notes that CIOs fund new AI gains by cutting low-return projects elsewhere. This is not AI expansion — it is triage. Search survives triage because it already sits in the revenue column.

The arithmetic explains why. Walmart’s search conversion runs 2.4 times its browse rate; Etsy’s runs three times. Algolia processes 1.75 trillion queries annually across 18,000 businesses. When a CFO asks an AI deployment to justify its cost in revenue terms, search answers without hesitation.

Nearly 70% say their search investments deliver revenue. Many of those same respondents admitted to under-investing and pledged to accelerate in 2026. Retailers who call themselves satisfied and underfunded at once are describing the budget line they trust most. That combination describes a tool that works.

Loyalty numbers confirm it. Ninety-four percent of respondents said generative AI in search positively affects loyalty and repeat purchases. That is one of the highest confidence readings in the entire survey. Search earns its protection at two points: the first sale and the return visit it helps produce.

A budget line with receipts does not need a business case.

Forward numbers follow the same logic. Sixty-one percent of B2C organizations plan to implement agentic AI within twelve months. The top adoption concern, cited by 47% of respondents, is smooth system integration. Retailers are building the next layer of AI on top of the search infrastructure they already fund.

B2B tells a more measured story. Algolia’s companion report on B2B ecommerce, published in March, found 83% of sellers prioritize AI when selecting search tools, and AI usage rose from 67% to 71% year over year. The report’s own conclusion is optimization rather than expansion: most B2B organizations already have established ecommerce operations and are not planning new search investment next year. AI preference in search holds; appetite for new spending does not.

Shoptalk Spring confirmed the logic. Every stage demanded proof over promises. Search is the AI category that walks into those rooms with attribution data already in hand. Other categories bring projections.

Vendor contracts formalize the commitment. Forty-nine percent of respondents use third-party search providers; only 27% build in-house. That ratio means search performance is measured against external contracts with revenue expectations written into the terms. A vendor SLA is harder to cut than an internal experiment no one owns.

Algolia is not a neutral party. The company sells search and has commercial interest in the conclusion that search budgets should grow. Coleman Parkes Research conducted the survey independently, but the sponsor sets the frame. Apply that lens and the finding still holds; 1,100 decision-makers did not converge on the same spending priority by coincidence.

Retail AI budgets sound like portfolio management. Six years of Algolia’s survey data say the allocation question is simpler. Search converts. Everything else auditions.