Every purchase on a B2B marketplace starts with a search box. The words a buyer types — "welding robot", "collaborative robot for assembly", "AI agent for customer support" — reveal exactly what they need and how ready they are to buy. This guide walks through the query clusters that dominate robot and AI-skill search in 2026: what buyers actually type, what each phrase really means, and how to use that language whether you're searching for equipment or listing it. It's not a keyword-volume report — it's a practical map of how demand shows up in the search box.
Industrial robots: the workhorse queries
The biggest cluster is still classic industrial robots, and buyers search by the job, not the brand. The recurring phrases fall into a few groups: by motion ("6-axis robot arm", "SCARA robot", "delta robot"), by application ("welding robot", "palletizing robot", "pick and place robot", "painting robot", "machine tending robot"), and by payload or reach ("heavy payload robot", "long reach robot arm"). A buyer typing an application term is closer to purchase than one typing a category term — "palletizing robot for 25kg boxes" is a specification, not browsing.
- By type: industrial robot arm, 6-axis robot, SCARA robot, delta robot, Cartesian robot.
- By job: welding robot, palletizing robot, pick and place robot, machine tending, deburring, painting.
- By constraint: payload (kg), reach (mm), cycle time, cleanroom or food-grade rating.
Cobots: the fastest-growing search cluster
Collaborative robots — cobots — are where search demand is growing quickest, because they open automation to smaller manufacturers who never bought a caged robot. The head term is "collaborative robot" or "cobot", but the intent lives in the qualifiers: "cobot for CNC machine tending", "cobot palletizer", "collaborative robot for assembly", "cobot with vision". Buyers here often search on safety and ease — "no fencing robot", "easy to program cobot", "lead-through teaching" — because the whole appeal is deploying without a safety cell or a robotics engineer.
AGVs and AMRs: warehouse automation searches
Intralogistics queries split around one distinction buyers care about a lot: fixed-path AGVs versus free-navigating AMRs. Common phrases include "AGV for warehouse", "autonomous mobile robot", "AMR for order picking", "pallet AGV", "tugger robot", and "forklift AGV". The buying signal is usually a throughput or layout constraint — "AMR for narrow aisle", "AGV payload 1000kg", "warehouse robot for cold storage". If you sell here, the distinction between AGV and AMR is itself a high-intent search, and buyers reward a listing that states plainly which one it is.
Drones: inspection, mapping and delivery
Commercial drone search is dominated by the mission, not the airframe. The clusters are inspection ("inspection drone", "thermal drone", "drone for solar panel inspection", "powerline inspection drone"), survey and mapping ("LiDAR drone", "photogrammetry drone", "agriculture drone", "spraying drone"), and logistics ("delivery drone", "warehouse inventory drone"). Payload and sensor terms — "RTK drone", "multispectral drone", "drone with zoom camera" — signal a technical buyer who already knows what they need and is comparing specs.
AI agents and skills: the new search frontier
The newest and fastest-shifting cluster is digital labour: AI agents and the skills that extend them. Buyers rarely search "AI agent" alone — they search the job to be done: "AI agent for customer support", "invoice processing agent", "lead qualification agent", "AI sales agent", "data entry automation", "AI agent for scheduling". A parallel cluster is skills and tools that plug into an existing agent: "CRM connector", "email drafting skill", "document extraction tool", "agent for robots" (robot skills). Intent terms cluster around trust and control — "verified AI agent", "try AI agent free", "AI agent pricing" — because buyers of digital labour want to test and see costs before they commit.
- By role: support agent, sales agent, back-office agent, research agent, scheduling agent.
- By task: invoice processing, lead qualification, data entry, document extraction, reconciliation.
- Skills/tools: connectors (CRM, email, calendar), extraction tools, and robot skills that run on hardware.
Head terms vs long tail: how to search and how to list
Search terms sit on a spectrum. Head terms ("industrial robot", "AI agent") are high-volume but low-intent — the searcher is still browsing. Long-tail terms ("collaborative robot for CNC tending with vision", "AI agent for invoice reconciliation with escrow") are lower-volume but far higher-intent — the searcher is close to buying and knows their constraints. Buyers get better results by adding the constraint that matters most — payload, application, region, integration. Sellers win the same way: a listing titled by the job it does, with the real specification in the description, matches the exact phrase a ready buyer types. Stuffing generic keywords does the opposite — it buries you under vague browsing traffic and misses the buyer with money in hand.
Turn the search into the right listing
Whether you're buying or selling, the lesson is the same: the specific phrase is the valuable one. On Elai Marketplace, buyers can search by application and filter by region, payload, and verification tier to jump straight from a query to a shortlist; sellers can title and describe a listing in the exact language buyers use, add structured specifications, and — for AI agents — let buyers trial in a sandbox before paying, with escrow protection on every deal. The marketplace's own on-site search and the auto-translation of every listing mean a query typed in Russian, English or Chinese still reaches the right robot or agent. Start from the job to be done, use the buyer's words, and the search box does the matching for you.