AI search is becoming a planning surface, not just a shorter answer box.

The strongest signal: planning queries are growing faster

In a May 19, 2026 analysis of U.S. AI Mode usage, Google reported that planning-related AI Mode queries had grown 80% faster than AI Mode queries overall during the previous six months. Google also said brainstorming queries had grown 30% faster than AI Mode queries overall since launch.

That matters because planning queries are rarely one-fact lookups. They often involve constraints, alternatives and trade-offs: where to go, what to buy, how to schedule something, which option best fits a set of requirements, or what ideas are realistic under a budget or deadline.

People are also asking longer questions

The same Google report says the average AI Mode search is about three times the length of a traditional Search query. Google also reported that more than one in six U.S. searches use voice or images, with image searches growing more than 40% month over month at the time of the report.

Longer input does not automatically mean better search. It does, however, make it easier for a user to include the constraints that change an answer: location, budget, dates, must-have features, audience, preferred format or competing goals.

AI Mode has become a large search surface

Google said AI Mode had surpassed one billion monthly active users globally by May 2026, and that AI Mode queries had more than doubled every quarter since launch. At Google I/O 2026, the company also described Search as moving toward more complex and multimodal questions, with text, images, files, videos and browser tabs available as inputs in its newer search experiences.

Those numbers are Google-reported usage statistics rather than an independent measure of every searcher's behavior. They are still useful as a directional signal: a significant part of search is becoming more conversational, contextual and task-oriented.

Why a simple decision tool still matters in an AI-search world

An AI system can brainstorm options or explain trade-offs, but a transparent calculator has a different advantage: the user can see and change the assumptions directly. A weighted decision matrix makes priorities explicit. If cost matters twice as much as support, the weights show that. If a one-point score change flips the winner, the result reveals its own sensitivity.

That is why NexusNova added a Weighted Decision Matrix Calculator rather than a generic “AI recommends the best option” page. The matrix is deterministic, runs locally, and does not pretend that subjective inputs become objective simply because a model produced them.

Search can discover options; a matrix can compare them

A practical workflow can separate discovery from evaluation:

1. Discover: use Search, official documentation, reviews or direct research to identify viable options.
2. Filter: remove choices that fail mandatory requirements.
3. Define priorities: choose distinct criteria and set weights before seeing a calculated winner.
4. Score with evidence: use the same 1–10 interpretation across options and cite facts where they matter.
5. Stress-test: vary uncertain weights or scores and see whether the ranking changes.

This workflow does not require AI, but AI-assisted search can make the discovery phase faster when the user still verifies important facts.

Useful tool design is different from trend chasing

Daily search trends can spike around sports, entertainment, politics or breaking news and then disappear quickly. Building unrelated thin pages around every spike may create a noisy site rather than a useful one. A more durable strategy is to look for repeated user needs behind broader behavior — planning, comparing, converting, calculating, scanning, compressing or scheduling — and build a tool that performs the task well.

For NexusNova, the planning signal also connects naturally to existing utilities such as the Global Meeting Planner, which helps users compare time zones, and the AI Prompt Builder, which helps users state task, context, constraints and desired output more clearly.

What this means for publishers and utility sites

Pages still need to give visitors a reason to use them even when a search result can summarize basic information. For a utility site, that can mean an interactive calculation, local file processing, a transparent formula, a configurable comparison, or a guide that explains limitations rather than repeating a definition.

Google has separately highlighted efforts to surface original and useful web sources in its AI search experiences. No publisher can guarantee inclusion or ranking, so the safer goal is straightforward: create pages that are genuinely useful when a person lands on them, keep claims sourced, and avoid manufacturing pages solely to capture a temporary keyword.

Primary sources for search-planning guidance

• Google, “How AI Mode is changing the way people search in the U.S.”, May 19, 2026.
• Google, “A new era for AI Search”, May 19, 2026.
• Google, “New ways to find your favorite sources and original content in AI Search”, May 27, 2026.