Clicky and Monica are both AI Chrome extensions, but they are not the same category of product. Monica is a multi-model chat sidebar: a panel that docks to the side of your browser and lets you pick from GPT, Claude, Gemini, and others to chat, translate, rewrite, and summarise. Clicky is a push-to-talk voice assistant that paints a halo on the exact element you asked about. This post lines them up on the dimensions that matter — interaction model, permission scope, voice support, memory, models, and price — and names the kind of user each is actually built for.
Two extensions, two categories
The 2026 AI Chrome extension field sorts into a small number of shapes, and the shape matters more than the brand. We covered the vocabulary in detail in Browser Copilot vs Browser Agent; the short version is that most extensions are either chat sidebars (read selection or page, answer in a panel) or targeted assistants (pointed at a specific element, answer in place). Monica is the first; Clicky is the second.
That distinction is more important than any single feature. A chat sidebar optimises for breadth — many models, many modes, long-form output. A targeted assistant optimises for latency and precision — one question, one answer, one pointed element. They compete for the same install slot, but they win on different days.
At a glance
As of April 2026, the Monica marketing page describes itself as an “All-In-One AI Assistant” fronting Claude, GPT, Gemini, and other models, with chat, search, writing, image generation, video generation, and coding features in a single Chrome extension plus desktop and mobile apps. It is one of the larger-footprint assistants on the Chrome Web Store.
Clicky is narrower on purpose. It is a push-to-talk Chrome extension from Fleece AI: hold Alt, ask a question about the page you are looking at, get a voice answer and a halo drawn on the DOM element that matters. There is no sidebar, no always-open chat, no image generator. It uses Claude Haiku 4.5 on the free tier and Claude Sonnet 4.6 on paid, with voice output through ElevenLabs.
Side-by-side comparison
| Dimension | Clicky | Monica |
|---|---|---|
| Interaction model | Push-to-talk voice + DOM halo | Chat sidebar panel |
| Permission scope | activeTab only (on-press) | Host permissions across sites |
| Voice input | Hold Alt to speak, strictly on-press | Click-to-dictate voice input in chat |
| Voice output | Every answer, ElevenLabs TTS | Optional Voice Response in Chat settings |
| Memory | Session-only, cleared each tab | Cross-session history, server-side |
| Models | Claude Haiku 4.5 free / Sonnet 4.6 paid | GPT, Claude, Gemini, DeepSeek, others |
| BYOK | No — managed billing | No — managed billing |
| Pricing entry | Explorer free — 10 turns/day | Free tier with limited daily queries |
| Best-at task | Targeted element Q&A on complex SaaS | Long-form writing, translation, multi-model chat |
| Built for | Users who want narrow action + strict privacy | Users who want one extension for everything AI |
Sources: Monica’s pricing page, chat documentation, and memory documentation, read April 2026. Clicky figures from the product itself.
What it feels like to use each
Monica lives in a sidebar. You click its toolbar icon or use a keyboard shortcut, a panel slides in from the right, and you type or dictate a question. The panel can read the current page, the selection, the whole tab, or nothing at all; you choose the context. Answers appear as chat bubbles in the panel. You can switch models mid-thread, save prompts as bots, export, translate, or hand off to the image generator. It is a full AI workstation embedded in the browser — and like any workstation, it asks you to switch context away from the page to use it.
Clicky works the opposite way. You never leave the page. You hold the Alt key, speak a question (“where is the export button?”, “what does this setting do?”, “is there an invoice here?”), and release. Two things happen: a voice answer plays, and a halo appears on the exact DOM element that matters. If the page reflows — because you resize, theme, or scroll — the halo sticks to its selector. There is no sidebar to open and no chat history to scroll through; the next question starts fresh. It is narrower, but the median interaction is a second or two shorter.
Privacy and permissions
This is where the two products diverge most sharply, and it is worth being specific rather than rhetorical.
Monica, as of April 2026, declares permissions that allow it to “read and change your data on all websites” — the broad-host pattern. That is what enables its best features: reading the current page for summarisation, rewriting selections inline, triggering on any site. It is also, by Chrome’s own permission language, the most powerful thing an extension can ask for. Monica’s privacy policy describes server-side storage of inputs, file uploads, and conversation history to power features like History and Memory. That is a real product benefit for continuity; it is also a real privacy decision — your conversations live on Monica’s servers until you delete them.
Clicky takes the narrower path. It requests only the activeTab permission, which means the extension can see a page only at the moment you explicitly invoke it by holding Alt — never in the background, never on the next tab you open. Memory is session-only: when you close the tab, the context is gone. There is no server-side conversation store. These are not features Monica lacks by accident; they are features Clicky lacks by design. If you want your AI to remember a project across weeks, Monica is the better fit. If you want your AI to have seen as little of your browsing as the product can get away with, Clicky is.
We put together a longer framework for judging this kind of thing in Chrome Extensions That Do Not Track You (2026 Audit). The short version: the number of sites an extension can read in the background is usually the most honest signal of its privacy posture.
Models and AI routing
Monica’s defining engineering choice is multi-model routing. As of April 2026, its home page lists access to GPT 5.2, Claude 4.5 Sonnet, Gemini 3 Pro, Nano Banana, Sora 2, and others, all from the same chat. You can switch models in a thread and compare their outputs side by side. For users who run informal evaluations — which model writes this email best, which translates this paragraph best, which reasons about this table best — that is a genuine strength. It is hard to replicate with single-vendor tools, and Monica has invested heavily in making it feel seamless.
Clicky does not compete on that axis at all. It uses Claude Haiku 4.5 on the free tier for speed, and Claude Sonnet 4.6 on paid tiers for harder reasoning. There is no model picker. There is no BYOK. The bet is that a DOM-anchored voice answer on a SaaS dashboard needs latency and grounding more than it needs a model competition, and that a managed single-model pipeline makes Clicky responsible for the output quality rather than the user. You may disagree with the bet; it is at least an explicit one.
For background on why the choice of one model versus many is not a small detail, see our pillar piece on agentic browser assistants.
Pricing and plans
Both products are managed — no BYOK on either side — and both have free tiers with daily limits.
Monica’s public pricing page, as of April 2026, lists a free tier with limited daily queries on basic models, a Max plan advertised at around $16.60 per month billed annually (roughly $199/year), and an Ultra plan around $82.90 per month billed annually (roughly $995/year) for heavy users. Currency is USD, and higher tiers unlock unlimited access to basic models and higher quotas on advanced ones.
Clicky is priced in EUR and has a narrower ladder by design: Explorer free, capped at 10 push-to-talk turns per day; Pro at 19€/month billed annually (228€/year) with a large daily quota and Sonnet-class reasoning; and Team at 99€/month billed annually (1188€/year) with five pooled seats and human support. The free tier is intended to be genuinely usable, not a twelve-hour trial. The pricing breakdown lives on the Clicky landing page.
When Monica is the better pick
There is no universally better product here — there is a better product for a given job. Monica wins on several recognisable shapes of work.
- Long-form writing inside the browser. Drafting emails, blog posts, LinkedIn updates, or replies to reviews directly in-panel, with the ability to iterate with the AI in a persistent thread. A chat sidebar is the right shape for this; a voice-and-halo assistant is not.
- Multi-model comparison. If part of your job is deciding which model to use for a given task — a real activity for agencies, research teams, and practitioners — Monica’s side-by-side router is one of the fastest ways to do it without bouncing between vendor websites.
- Translation-heavy workflows. Monica invests heavily in translation, including long-context documents, inline rewrites, and its real-time voice translator. If you translate multiple pages a day across languages, this is a power-user feature set you will not find in a targeted assistant.
- Image and media generation on the side. Monica bundles image generation and, as of 2026, some video generation capability. If you need those and want them in the browser, a dedicated sidebar is where they belong.
When Clicky is the better pick
Clicky wins on an orthogonal set of jobs.
- Targeted element questions on complex SaaS tools. “Where is the export button?”, “Which one of these switches turns off notifications?”, “What does this field mean?” A halo on the actual DOM element survives the reflows and theme changes that make written instructions rot. A chat sidebar can describe the element; Clicky can point at it.
- Strict privacy requirements. If you work on a corporate machine, under GDPR/DPA constraints, or with clients who expect you to minimise browser surface area, an assistant with activeTab-only and session-only memory is an easier conversation with your security team than an assistant with broad host permissions and server-side history.
- Voice-first workflow. If your hands are on the keyboard or you are walking through a tool while mentoring someone else, push-to-talk is dramatically faster than typing into a chat panel. We go deeper on why push-to-talk beats always-listening in our pillar post.
- Accessibility for low-vision and motor use-cases. A voice answer plus a visible halo works better than a text-only panel for users who struggle to parse dense sidebar UI. We wrote about that specifically in the Clicky product page.
For the record: many users install both. There is no rule that says you have to choose. Monica as an in-browser writing bench, Clicky as the instant-answer layer on top of the SaaS tools you spend the rest of your day in — they occupy different slots on the same laptop.
Frequently asked questions
Is Clicky a direct replacement for Monica?
Only if the work you do with Monica is the “point at the right element, tell me what this means” kind. If you use Monica for long-form writing, translation, image generation, or multi-model comparison, Clicky will not replace it. Those are deliberately outside the scope Clicky targets.
Can Monica do what Clicky does?
It can read the current page and answer questions about it, which covers the “what does this page do” case. What it cannot do, as of April 2026, is draw a DOM-anchored halo on a specific element by selector, or answer strictly via push-to-talk voice without opening a sidebar. The interaction model is different enough that the two products feel different even when the underlying question is the same.
Which one is cheaper?
Depends on usage. Both have free tiers. On paid tiers the Clicky Pro plan (19€/month billed annually) is cheaper than Monica Max (around $16.60/month billed annually, roughly similar once converted) and much cheaper than Monica Ultra. Monica Max bundles more capabilities (image generation, multiple models) for the price; Clicky Pro buys faster voice answers and a higher daily quota. Pick by the job, not the unit price.
Can I trust either with sensitive work?
Read both privacy policies and ask your employer. As a general rule, Clicky’s activeTab-only permission and session-only memory create a smaller surface area by design; Monica’s broader permissions and server-side history create more capability at the cost of more exposure. If you are evaluating for a regulated environment, the audit framework we published here is a reasonable starting checklist for either product.
This post is part of our comparisons series. See also Clicky vs Sider. Next up: how full agentic browsers like Comet and Atlas compare against a plain Chrome extension — a different axis of the same question.