In 2026, this is how your buyers find vendors inside AI — and how you make sure you show up there.
Six months, six engines, and 1,284 real B2B buying questions tracked — distilled into a 48-page, ready-to-run GEO roadmap.
What you'll learn
Of the purchasing decision-makers we surveyed, how many turn to AI first when sizing up options, what they ask, and which engine they ask it on — the first B2B AI-search behavior study focused on the Taiwan market.
What ChatGPT, Perplexity, AI Overviews, Gemini, Claude, and Copilot each prefer to cite — content structures and source types, broken down engine by engine, with the content play that wins each one.
Citation rate, answer share, and Pipeline contribution — how to define, measure, and track each layer, the tools to use, and a sample dashboard for reporting up to leadership.
A week-by-week action list from a standing start: audit in weeks 1–4, spin up the content engine in weeks 5–8, validate and iterate in weeks 9–12 — every step with a deliverable you can sign off on.
A copy-and-go annual content plan: topic clusters, entity building, citable data assets, and the scheduling framework for a 3-week rewrite loop.
Sneak peek
"Ugh, another fluff report gated behind an email?" — we get it. So here are the inside pages and one full chart, up front. Judge for yourself.
The AI search journey of Taiwan's B2B buyers: from the first question to the vendor shortlist
Six engines, broken down one by one: which sources they cite, what structures they favor, and how to respond
A week-by-week action list with acceptance criteria — follow it and ship your first GEO loop
Tenten GEO Research · 2025 H2 · n = 1,284 queries × 6 engines, tracked weekly
This chart is fully public — quote away. Just credit the source: Tenten GEO, 2026 GEO Trend Report.
Who it's for
The report answers: as demo sources shift from Google to ChatGPT, how should you rebalance next year's acquisition budget and KPIs?
The report answers: when a client asks AI directly "which firm should I hire," how do you make sure your firm is in the answer?
The report answers: how do you rewrite years of accumulated content to go from "it ranks" to "it gets cited by AI"?
Authors & methodology
This report was written by the Tenten GEO research team — tracking, diagnosing, and lifting AI-engine citation rates for B2B clients is what we do every day, with Pipeline as the KPI.
Methodology: from July to December 2025, we sent 1,284 B2B buying-scenario queries each week to six engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot — logging over 200,000 answers and cited sources in total.
The GEO definition and three-layer metrics framework in this report align with our public guide: What is GEO (Generative Engine Optimization)?
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The report tells you where the market is heading; a 30-minute diagnostic tells you where your brand stands today. We deliver a live snapshot of your visibility across all six AI engines — and even if we never work together, the snapshot is yours to keep.
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