Keywords Are Dead. Google’s New "AI Mode" Just Replaced Them.

Keywords are losing their grip on search behavior. One year after its initial release, Google's AI Mode has crossed one billion monthly active users globally, according to data from Google's U.S. search insights.

This transition marks a structural shift: users are no longer searching for lists of links. They are entering conversational, multi-step queries that delegate planning, reasoning, and synthesis directly to AI agents.

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What is Google AI Mode, and How Does it Work?

To understand how does Google AI Mode work, look at the query structure. In traditional search, a user might search for best enterprise CRM. In AI Mode, that same query is replaced by a conversational prompt: "I run a 50-person security company. What is the best CRM to sync with our calendar and manage enterprise sales without heavy engineering setup?"

According to Google's official release notes, Google AI Mode features are engineered to handle this level of complexity. The engine parses the user's full context, reasons across the web, and returns a single, synthesized response backed by authoritative citations.

Key Behavior Changes: The Data

Google's data highlights three critical shifts in the U.S. AI search experience since the Google Search AI Mode release date in mid-2025:

• Query Expansion: The average query in AI Mode is now three times longer than a traditional search query.
• Multimodal Inputs: More than one in six searches in the U.S. now incorporate voice or images, with image-based searches experiencing 40% month-over-month growth.
• Agentic Intent: Planning and brainstorming searches are growing faster than simple informational queries.

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Measuring YoY Growth: The Rise of Planning Queries

Traditional search intent is typically split into informational, navigational, commercial, and transactional. AI Mode has introduced a fifth category: planning intent.

When users ask planning questions (often starting with "where to," "how to plan," or "give me ideas for"), they expect the AI to synthesize multiple sources into a single itinerary or workflow.

Google has not released granular quarterly breakdowns for planning query volume, but the directional data it has published points clearly in one direction:

Search is no longer a tool for discovery. It is a tool for delegation.

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What this Means for Marketing Teams: Shifting to AEO

For marketing and growth teams, this behavioral shift has immediate implications. If your content is optimized only for short-tail keywords, you are missing the surface where purchasing decisions are made.

Winning in this environment requires Answer Engine Optimization (AEO).

1. Optimize for Multi-Step Intent

Because queries are 3x longer, your content must address specific constraints. Instead of writing general guides like "The Ultimate Guide to CRM," build pages that address specific setups, integrations, and segment constraints.

2. Match Heading Structures to Long-Tail Prompts

AI agents retrieve text passages that directly answer user queries. Structure your articles with descriptive H2 and H3 headers that mirror natural, conversational questions.

3. Build Public Authority

AI Mode synthesizes answers from public databases, reviews, and high-authority articles. If your brand is not mentioned across trusted third-party resources, the search engine has no basis to include you in its recommendations.

Measuring this visibility is the first step toward optimization. Traditional SEO dashboards are blind to AI Mode interactions because there is no keyword ranking list. To see where your brand stands in this new landscape, you need to track your footprint across engines, which is exactly why we build baseline visibility reports at Markiqo.

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How Markiqo Helps Teams Act on the Shift

The challenge for most marketing teams is not awareness of the shift. It is knowing what to do about it.

AI Mode does not produce keyword rankings or click data. It produces synthesized answers, and your brand either appears in them (confidently, hedged, or not at all) based on signals that no traditional search console can surface.

Markiqo is built specifically to close that gap. We run structured queries across Google AI Mode, Google AI Overview, ChatGPT, Gemini, and Perplexity — the same engines your buyers are delegating decisions to — and translate what we find into a clear picture of where your brand stands and what is holding it back.

For teams making this shift, that means two concrete things:

You know exactly where you are absent. Which query contexts is your brand missing from, or getting hedged in? Markiqo surfaces these gaps directly, so your content priorities are driven by evidence, not instinct.

You see what is actually driving inclusion. Which review platforms, comparison sites, and publications is AI Mode citing in your category? Markiqo maps these sources so you invest in coverage that moves the needle, not just traffic.

The output is not a dashboard to monitor. It is a prioritized roadmap tied to specific gaps in your AI footprint. Request your AI brand audit to see where you stand today.

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References & Sources

• Official Search Metrics: Google Product Blog: U.S. Search Insights (Accessed May 2026).
• Multimodal and Query Length Research: Google Blog: AI-Mode Capabilities and Voice Scaling (Accessed May 2026).

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Pavan is a co-founder of Markiqo, an AI brand intelligence platform that measures how ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview describe and rank brands. Last updated May 2026.