ChatGPT
For a small kitchen, the machines recommended most often are the Brewline S2 and the Toska Lira.
Mentioned: Brewline, Toska
Zumi tracks brand mentions in AI answers, analyzes citations, monitors competitors, and delivers targeted actions that improve visibility.
Every tracked prompt runs across up to nine engines. Each one answers on its own terms: different mentions, different citations, different pages behind each answer.
Every engine in scope runs the same buying question its own way. A brand missing from one answer is usually missing from all of them.
best home espresso machine for a small kitchen
ChatGPT
For a small kitchen, the machines recommended most often are the Brewline S2 and the Toska Lira.
Mentioned: Brewline, Toska
Gemini
The Toska Lira is the usual pick under 30 cm of counter width, with the Marlow One close behind.
Mentioned: Toska, Marlow
Claude
Compact-kitchen guides converge on the Veloce Uno for footprint and the Brewline S2 for consistency.
Mentioned: Veloce, Brewline
Perplexity
Reviewers rank the Brewline S2 first for build quality, then the Veloce Uno on price.
Mentioned: Brewline, Veloce
Copilot
For apartments, the quietest options cited are the Marlow One and the Toska Lira.
Mentioned: Marlow, Toska
Grok
The Veloce Uno wins on price, the Brewline S2 on steam performance.
Mentioned: Veloce, Brewline
AI Overviews
Compact espresso machines frequently listed include the Brewline S2, the Toska Lira, and the Marlow One.
Mentioned: Brewline, Toska, Marlow
AI Mode
Beginner setups usually start with the Toska Lira, then move up to the Brewline S2.
Mentioned: Toska, Brewline
DeepSeek
The Marlow One is designed for a small footprint and a low running cost.
Mentioned: Marlow
Illustrative pattern, fictional brands and sample answers
AI Visibility is how often a brand is mentioned and how prominently it features, across every engine and prompt tracked.
The share of tracked answers that mention the brand, measured per engine.
Whether a brand is the only mention or one among many. Appearing alone counts more than being also-mentioned.
How early a brand appears when it is cited. Being mentioned last is not the same as leading.
The pages AI engines cite to describe a category point to the brand or to a competitor. Citation quality shapes visibility.
The Visibility module is where AI Visibility gets measured. See the four signals behind a brand's presence, per engine and per prompt, and watch them move day to day instead of staring at a single rollup.
Open any result and trace it back to the pages AI engines actually pulled from. The Sources module ranks every domain and URL by citation share, so content investment goes where the model is already looking.
Add a competitor in one click and the leaderboard backfills across the tracked engines. A rival's content move shows up as a ranking change, not a surprise in a sales call three months later.
Bring the prompts buyers actually type, group them into the topics that matter, and Zumi runs the whole set across every engine daily. This is the input that makes every other number specific to the category.
The four modules sit inside one dashboard, with the operational pieces a marketing team needs to actually run on it.
Each brand or region is its own workspace with isolated prompts, competitors, and history. Switch between them in a click.
Every view exports to a branded PDF or CSV. The AI Visibility trend, the leaderboard, formatted for the deck a team already presents.
Visibility shifts, competitor surges, and new query patterns land in inbox or Slack the day they happen, not at the end of the quarter.
No code, no SDK. Add a brand, approve the prompts Zumi suggests for the category, set the competitors, and tracking starts.
Two views into how the platform works, end to end.
How a brand shows up across every engine, live, with the answer itself as the artifact and ranked next moves.
Explore →The four-step process, in detail: define the landscape, monitor every engine, analyze AI Visibility, optimize what moves the number.
See the steps →SEO tools were designed for Google. Zumi was designed for the way buyers discover brands today, and where that discovery is heading.
| Feature | ZumiAI search intelligence | SEO toolsGoogle-era stack | Manual trackingSpreadsheets + screenshots |
|---|---|---|---|
| AI Visibility (mention rate + share of voice) | ✓ | ✕ | ✕ |
| Covers up to 9 AI engines | ✓ | Partial | Partial |
| Competitor AI share of voice | ✓ | ✕ | ✕ |
| Query-level citation tracking | ✓ | ✕ | Manual |
| Page-level source analysis | ✓ | SEO only | ✕ |
| Agency multi-client + white-label | ✓ | Partial | ✕ |
| Daily automated monitoring | ✓ | ✓ | ✕ |
| Board-ready reporting | ✓ | DIY | DIY |
Short answers to what marketing leaders want to know before booking a demo.
Zumi is an AI Search Intelligence Platform that tracks how a brand appears across the AI engines buyers use. It is built for marketing leaders at brands and agencies who need to see, and improve, where they show up in AI answers.
Zumi covers up to nine AI engines, scoped to the requirement: ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews, Google AI Mode, and DeepSeek. Each plan includes a set, and Enterprise scales up to nine.
It is how prominently a brand appears across the AI engines buyers use, measured by mention rate and share of voice, tracked per engine and per prompt, and updated daily.
Most teams are live in under 10 minutes. There is no code or SDK: add a brand, approve the prompts Zumi suggests for the category, set the competitors, and daily tracking starts.
Yes. Each brand or region gets its own workspace with isolated prompts, competitors, and history, and agencies get white-label PDF reporting plus one-click switching between client workspaces.
Every tracked prompt runs across every engine daily, so visibility shifts, competitor surges, and new query patterns surface the day they happen rather than at the end of the quarter.
Zumi pulls live AI visibility data for any brand, across every engine, against real competitors. No deck, no pitch.
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