Key takeaway: Google will remove the hidden 50% Display allocation in February 2027, while search and SEO remain important alongside AI visibility.
Key Takeaway
Google’s Ads Help page says that Search campaigns using Display Expansion previously sent unspent Search budget to the Google Display Network under a hidden 50% allocation. Starting in February 2027, that fixed setup will disappear. Spending across Google Search, search partners and the Display Network will instead be shaped by channel priorities, optional daily allocation percentages and the campaign’s bidding strategy. Advertisers that want to preserve the old configuration are told to set the Display Network to low priority with a 50% daily budget allocation. Campaigns that do not receive a campaign-level setting may inherit an account-level default.
This is a Google Ads advertising-platform operations change, not evidence that Display will necessarily produce better returns. It also does not justify moving SEO or search budgets simply because AI search is receiving more attention. A separate report citing OneLittleWeb’s June 2026 estimates measured 162.19 billion visits for its tracked search-engine category and 8.26 billion for tracked AI chatbot websites, a difference of about 19.6 times. That comparison includes YouTube, measures browser visits rather than app activity, and does not establish which surface generates more qualified demand or sales. The practical conclusion is to audit paid-channel controls and measure search and AI visibility separately.
How Google Ads spending may change in February 2027
Google describes Display Expansion as a way for a Search campaign to reach additional potential customers across the Display Network using Search campaign settings. Under the previous setup, the feature used unspent Search budget for Display and applied a 50% allocation in the backend. The updated model lets advertisers assign high or low channel priorities and set an optional daily budget allocation percentage. That percentage is calculated against the campaign’s average daily budget and operates on a best-effort basis, so it should not be treated as an absolute day-by-day spending guarantee.
Bidding strategy also matters. For strategies such as Maximize conversions and Maximize conversion value, Google says high-priority channels are funded before remaining budget is assigned to low-priority channels, subject to any allocation configured by the advertiser. The linked channel-prioritization documentation says that for Target CPA and Target ROAS campaigns that are not budget-limited, priority tiers generally do not change the distribution of spend, while the percentage allocation can still have an effect. The Display Expansion page does not present every restriction, so teams should not infer the final delivery pattern from one setting alone.
For a new campaign, advertisers can enable the Google Display Network in network settings and then configure channel priority and an optional daily percentage. For an existing campaign, the relevant controls are available through campaign settings under the Display Network and channel-prioritization sections. Account-level defaults act as the fallback when a campaign does not override them. Teams should also check campaigns using Target Impression Share: the channel-prioritization documentation says the Display Network will no longer serve on Search campaigns using that bidding strategy after the transition. Such campaigns should not be assumed to retain the previous Display Expansion path.
How SEO and AI search visibility fit the same operating plan
The traffic comparison supplies an important boundary for advertising and marketing decisions. AI chatbot websites drew far fewer tracked browser visits than the search-engine category in the cited June estimate, but that is not a complete market-share comparison between traditional search and AI search. OneLittleWeb classifies YouTube as a search engine, excludes mobile-app activity, and may not capture AI functions embedded inside search products. The figures therefore show where visits were concentrated among a defined set of websites, not which interface answers more product questions, influences more purchases or creates more qualified leads.
For marketing teams, the operational response is to separate the checks. In Google Ads, review whether Display Network expansion is enabled, which priority it has, what allocation percentage is configured, whether shared budgets apply and which bidding strategy is active. For SEO and AI search visibility, check whether useful, accessible pages answer the questions customers actually ask. Observe brand and product appearances in search results and AI assistant responses as separate signals. An assistant mention, a referral visit, a lead and a sale are different outcomes and should not be treated as interchangeable evidence.
The same caution applies to performance claims. Google’s page says that Search campaigns with spare budget and Display Expansion may deliver up to 15% more conversions at a similar CPA to Search, and it gives a separate claim about average conversion value for some value-based bidding strategies. The page does not provide a date range, sample or independent verification for those figures. The traffic report’s ratio likewise cannot predict an individual company’s AI search ranking, lead quality or revenue. Neither source supports an automatic budget increase or an outcome promise for AI marketing.
Method and Limitations
A practical audit should record account- and campaign-level channel settings before the February 2027 migration. For each affected campaign, document whether the Display Network is enabled, the priority assigned to each channel, the daily allocation percentage, the presence of a shared budget and the bidding strategy. After the change, compare spend, conversions and conversion value across Google Search, search partners and the Display Network for a defined reporting period. Any comparison should state its attribution model and time window.
SEO and AI search checks should remain separate from paid-media reporting. Teams can record search-result visibility, appearances in AI assistant answers, referral traffic, leads and sales as distinct measures. The observed presence of a brand in an assistant response is not proof that the assistant generated a visit or conversion, just as a platform-level traffic estimate is not proof of business performance.
The public information also leaves important questions open. Google’s page does not provide account-specific delivery results under the new model, and its percentage cap is described as best effort rather than an absolute limit. The page says Display CPA may vary with bidding strategy, priorities and custom allocation, while another passage says average Display CPA should be similar to Search CPA; these statements do not support a universal cost expectation. The traffic estimates are not audited platform usage, their category boundaries affect the result, and app activity and AI features inside search engines are not fully represented. These limits make the evidence useful for planning and verification, but insufficient for forecasting a company’s advertising or AI search outcome.