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Top AI Tools 2026: What Are the Best AI Tools?

Top AI Tools 2026: What Are the Best AI Tools?

You're juggling a brief, three Slack threads, a half-finished deck, and a founder who wants “something more original” by tomorrow. That's exactly where the best AI tools help, not as a novelty, but as a working stack for ideation, creation, and research. The market has clearly moved from experimentation to everyday use, with AI adoption now embedded in major workflows across design, writing, coding, and enterprise video production, and that makes the question less about whether to use AI and more about which tools fit your team's actual process G2's 2025 roundup of popular AI tools.

Table of Contents

1. Bulby

Bulby fits the section because it addresses the part many AI lists overlook, the messy middle of creative work. Marketing teams usually do not struggle because they lack words. They struggle because meetings drift into familiar ideas, louder voices take over, and the group leaves without a clear next step.

Bulby is built for that exact problem. It uses a structured, research-backed brainstorming flow that moves teams from defining the challenge to inviting participants, collecting anonymous ideas, generating AI sparks, and turning the session into an actionable summary. The anonymity matters because it reduces social bias and helps quieter teammates contribute without having to perform for the room. If you have ever watched a pitch session settle into safe territory, this kind of guardrail changes the quality of the output.

A practical way to use Bulby is as a creative facilitator. It works well for campaign ideation, messaging angles, content themes, and brand strategy work, especially when a group needs alignment quickly. The live demo without login is useful for a fast check, and the 14-day free trial makes it easier to test with a real team instead of guessing from screenshots.

Practical rule: use Bulby when the primary bottleneck is not drafting, but getting to stronger raw ideas in the first place.

If you are comparing brainstorming platforms, a broader guide to remote brainstorming tools can help you see where Bulby fits in a larger workflow. That matters because brainstorming software should not just collect ideas, it should shape how a team moves from scattered input to a decision-ready set of options.

What stands out in day-to-day use

  • Anonymous idea capture: Helps reduce status bias and keeps early concepts from getting filtered by hierarchy.
  • AI idea prompts: Useful when the room stalls and the team needs fresh angles without restarting the session.
  • Structured session flow: Keeps the group moving from problem framing to ideas to a usable summary.
  • Team-friendly setup: Fits marketing reviews, content planning, and workshop-style sessions where alignment matters more than volume.

Bulby is especially relevant for teams that want brainstorming to produce choices, not just chatter. In practice, that means better first drafts, clearer direction, and fewer meetings that end with “we should think about it.” For teams pairing idea generation with visual concept development, an AI image generator quality and price comparison can also help decide which tools support the next stage after the brainstorm.

1. Bulby

Bulby earns the featured spot because it handles the part most AI lists skip, the messy middle of creative work. Marketing teams rarely fail because they cannot generate words. They fail because meetings drift into familiar ideas, louder voices dominate, and no one leaves with a clear next step.

Bulby is built for that problem. It uses a structured brainstorming flow that moves teams from defining the challenge to inviting participants, collecting anonymous ideas, generating AI sparks, and turning the session into an actionable summary. The anonymity matters because it reduces social bias and gives quieter teammates room to contribute without performing for the room. If you have watched a pitch session slide into safe territory, this is the kind of guardrail that changes the quality of the output.

A useful way to use Bulby is as a creative facilitator for campaign ideation, messaging angles, content themes, and brand strategy work. It helps when you need several people aligned quickly, and it is especially practical for teams that want a real session instead of a loose prompt generator. The live demo without login is a useful way to evaluate it, and the 14-day free trial makes it easier to test with a real team instead of relying on screenshots.

Practical rule: use Bulby when the real bottleneck is not drafting, but getting to better raw ideas in the first place.

What stands out in day-to-day use

  • Anonymous idea capture: Helps reduce status bias and keeps early concepts from getting judged too quickly.
  • Randomized exercises: Pushes teams away from predictable thinking and toward more original options.
  • AI-generated summaries: Turns a long brainstorm into something a strategist can share after the meeting.
  • Flexible access: Works for collaborative sessions and solo use, which makes it useful for remote teams and async prep.

There is a clear trade-off. Bulby is strong for structured ideation, but human judgment still has to choose the direction that fits the brand, the audience, and the brief. For teams that want a sharper brainstorming process, it is one of the better AI tools to anchor the front end of the workflow. The internal playbook for brainstorming-focused teams is worth a look as well, especially if you are comparing structured ideation options like the ones outlined in this guide to better brainstorming tools, available at Remote Sparks' brainstorming tool roundup.

Visit the product site at Bulby if your team wants a faster way to get from scattered input to pitch-ready thinking.

3. Anthropic Claude

Claude is the tool many strategy and research teams reach for when the quality of the reasoning matters as much as the speed of the draft. It performs well on long-context work, careful instruction-following, and brand-sensitive writing, where a small tone mistake can force another review round. For product teams, consultants, and marketing leads working through dense source material, that mix is hard to ignore.

It also fits a different kind of workflow than a quick-prompt assistant. Claude handles longer documents, layered prompts, and work that needs sustained context instead of short bursts. Teams use it for code and collaboration tasks through Claude Code and related coworking tools, which makes it useful when creative work is tied to product specs, site updates, or lighter technical tasks.

The practical value shows up in the day-to-day output. Claude is steady when you need a clean draft, a careful rewrite, or a response that stays inside the instructions you gave it. In an agency setting, that kind of consistency matters because one loose sentence can create another review pass.

For teams comparing the broader stack, AI tools for growth marketing can be used alongside Claude when the work spans research, drafting, and campaign planning.

Why teams choose Claude

  • Long-context reasoning: Better suited to larger source sets and more detailed briefs.
  • Safer defaults: Helpful when brand tone and approval risk matter.
  • Instruction discipline: Keeps outputs closer to the intended format.
  • Team workspaces: Supports shared use with seat and usage controls.

The trade-off is that Claude is strongest in structured, text-heavy work. It is less about flashy output and more about dependable handling of complex inputs, which makes it a better fit for teams that value careful reasoning over novelty. For strategy and research-heavy workflows, that balance can matter more than a broader feature list.

3. Anthropic Claude

Claude is the tool many strategy and research teams reach for when they care as much about the quality of the reasoning as the speed of the output. It works well for long-context work, careful instruction-following, and brand-sensitive writing where the wrong tone can weaken the final result. That makes it a strong fit for product teams, consultants, and marketing leads working through dense source material.

The practical difference shows up in the way it handles complexity. Claude is built for longer documents, more layered prompts, and work that benefits from sustained context rather than short bursts. Teams also use it for code and collaboration tasks through Claude Code and related coworking tools, which helps when creative work is tied to product specs, site updates, or lighter technical needs.

For creative teams, the value is less about spectacle and more about reliability. Claude tends to stay steady when you need a clean draft, a careful rewrite, or a response that sticks to the instructions you gave it. That steadiness matters in an agency environment, where one sloppy sentence can trigger another round of review.

Why teams choose Claude

  • Long-context reasoning: Better suited to larger source sets and more detailed briefs.
  • Safer defaults: Helpful when brand tone and approval risk matter.
  • Instruction discipline: Keeps outputs closer to the intended format.
  • Team workspaces: Supports shared use with seat and usage pricing models.

There's a trade-off, though. The pricing structure can be harder to forecast because it combines seats and usage, and that can complicate budgeting if a team runs frequent heavy tasks. Claude is not usually the cheapest experiment, but it often pays off when the work is sensitive, layered, or hard to clean up later.

If ChatGPT is the broad all-rounder, Claude is the more controlled thinking partner. For teams that write a lot, synthesize source-heavy material, or need output that sounds measured rather than flashy, it belongs in the stack. For a broader view of how it fits into coordinated team workflows, see Remote Sparks' guide to remote team management software.

5. Microsoft Copilot Microsoft 365

Copilot is the practical choice for teams that already work inside Microsoft 365 all day. It sits where the documents, slides, inboxes, and meetings already live, so people do not have to copy and paste between tools just to get help. That proximity matters more than a feature checklist usually suggests.

The value becomes clear at the app level. Copilot works in Word, Excel, PowerPoint, Outlook, and Teams, and work accounts can use Copilot Chat or richer in-app copilots depending on licensing. Microsoft also connects it to enterprise governance, identity, and data connectors, so IT teams can keep it inside existing controls instead of treating it like a separate consumer app.

For marketing and creative teams, that makes Copilot most useful when the work already exists in Microsoft files. A deck can move from rough outline to cleaner draft faster, an email thread can be summarized without leaving Outlook, and a planning doc can become a first-pass brief without switching systems. That matters in organizations where handoff friction slows execution more than idea quality does.

A quick way to judge fit is to look at the work, not the demo.

  • PowerPoint and Word workflows: Faster drafting, summarizing, and restructuring.
  • Outlook and Teams: Helpful for meeting follow-up and communication cleanup.
  • Enterprise environments: A better fit when governance, identity, and connectors matter.
  • Microsoft-centric operations: Works best when the whole team already uses the suite daily.

The trade-off is cost and dependency. Copilot delivers the most value when your team already runs on Microsoft 365, but that also means its usefulness drops if your workflow lives across Google, Figma, Slack, or other non-Microsoft systems. For teams that split work across multiple platforms, the integration advantage is smaller, and the licensing model can feel harder to justify unless usage is steady.

For a closer look at how Microsoft-centered teams handle coordination, this guide to remote team management software is a useful companion.

6. Midjourney

Midjourney stands out when a marketing or creative team needs visual ideas that feel more art-directed than template-driven. It works well for moodboards, campaign direction, style exploration, and early visual development, especially when the goal is to widen the range of options before anyone commits to final production.

The workflow matters. Midjourney runs through Discord, and that setup is part of why some teams use it often while others avoid it. Fast iteration and a shared, community-style environment can speed up experimentation, but the interface can feel awkward if your team prefers a conventional web app with clearer file handling and a more familiar layout. For teams weighing tools by function, Midjourney sits squarely in the visual creation lane, not the research or ideation lane.

It is strongest when art direction is still changing. A creative director can test visual territory, a strategist can translate tone into imagery, and a team can sketch out a campaign world before a designer builds the final assets. For more visual concept inspiration, see our ideas for illustration guide.

Midjourney works best when the question is not just whether it can make an image, but whether it can help the team see a direction clearly enough to choose it.

The trade-offs are real. Teams that want a standard interface may find the Discord-first setup harder to adopt, and teams with sensitive or client-facing work may need higher-tier plans for private generation options. That makes it a strong creative tool, but not always the simplest fit for every workflow.

Used well, Midjourney gives creative teams a fast way to explore visual territory before production starts, and that can save time later when the brief is still being shaped.

6. Midjourney

Midjourney is still one of the strongest tools for visual concepting when you need ideas that feel more art-directed than templated. It's especially useful for moodboards, campaign direction, style exploration, and early-stage visual development where fast iteration matters more than final production polish. Creative teams often reach for it when they need to widen the visual field quickly.

The Discord workflow is part of the experience. Some teams love the speed and community feel, while others find it awkward compared with a clean web app. That's a real trade-off, not a minor detail, because workflow comfort affects how often a team uses the tool.

Midjourney is best when art direction is still in motion. It can help a creative director test visual territory, give a strategist a way to communicate mood, or help a team explore a campaign world before a designer starts the final build. It also supports more advanced tiers with private generation options, which matters if the work is sensitive or client-facing.

Midjourney is strongest when the question is not “Can it make an image?” but “Can it help us see the idea clearly enough to choose a direction?”

The downside is that it's not always the simplest tool for teams that want a fully standard interface or straightforward privacy defaults. Commercial and private needs may push users toward higher-tier plans, and the Discord-first setup can slow adoption for less technical teammates.

Even so, Midjourney belongs in a serious creative stack because it helps teams move from verbal idea to visual direction faster than many alternatives. For agencies and brand teams, that makes it one of the best AI tools for early concept work and visual pitch development. If you're comparing it against broader image tool coverage, the practical contrast is sharp, and the space for choosing the right generator by task remains important AI image generator quality and price comparison.

8. Perplexity

A marketing lead needs a current competitor scan before a briefing, a strategist needs to verify a claim before it reaches a client deck, and a content team wants sources they can check without starting over in a browser tab maze. Perplexity fits those moments well. It is built around live web grounding and citation trails, so research stays traceable while the team moves quickly. That makes it especially useful for exploratory research, competitive reviews, and briefs that need visible sourcing instead of a loose summary.

Perplexity behaves more like a research assistant than a pure generator. You ask a question, compare options, and get an answer that can be reviewed later. Model switching across frontier providers gives teams another layer of control, since some tasks need a sharper synthesis while others need a more careful pass. For teams building campaigns or content plans, that flexibility matters because the right research surface is not always the same as the right writing surface.

Bulby helps teams generate ideas. Perplexity helps teams pressure-test those ideas against current reality, competitor moves, and source-backed context. For agencies and product marketers, that pairing is often more useful than another generic writing app. It also connects well with broader agency workflows, especially when research has to feed strategy, creative development, and client-facing documentation. A practical overview of the marketing agency tools stack can help teams see where Perplexity fits alongside ideation and production tools.

Why practitioners keep it around

  • Citation-heavy output: Makes fact-checking faster and more transparent.
  • Web grounding: Useful for current topics and competitive review.
  • Model switching: Gives teams room to choose the right level of response.
  • Brief building: Strong for prep work before strategy or content creation.

The limits show up in advanced usage. Pro and Enterprise features sit behind paid tiers, and some agentic tasks consume credits, which makes cost planning less predictable. It also works best when your team values research quality over a highly polished writing interface, so it is not the first choice for every creative workflow. Teams that need a broader toolset often compare it with other research and collaboration platforms before deciding how much room to give it in the stack.

9. Jasper

Jasper fits marketing teams that need brand-controlled output at scale. It is built for teams that care about keeping copy aligned with a defined voice, a shared message system, and repeatable workflows. That makes it less useful as a general-purpose assistant and more useful as a production tool for campaigns, content ops, and distributed teams that have to stay consistent.

The value shows up when several people are creating under the same brand umbrella. Jasper's Brand Voices, Knowledge, and Audiences features help keep output tied to company messaging, while Jasper Grid supports more structured execution across recurring content needs. For teams that already have a clear positioning framework, that control is often the point. It reduces the amount of cleanup required after the draft.

There is a real trade-off here. Jasper is strongest when the brief is already defined, the tone is established, and the team wants AI to stay inside the lines. It can handle campaign copy, product messaging, support content, and variations for different use cases, but it is not built for free-form exploration in the same way as a brainstorming tool. Agencies also tend to value it when they need consistent output across multiple clients, not just fast text generation. A broader look at the marketing agency tools stack helps place Jasper in that kind of workflow.

What Jasper does well

  • Brand consistency: Helps keep outputs aligned with established voice and messaging.
  • Marketing workflows: Better fit for campaigns than for open-ended experimentation.
  • Enterprise readiness: Includes governance features like SSO and admin controls on business plans.
  • Scaled execution: Useful when content volume matters as much as initial ideation.

The downside is usage forecasting. The hybrid seat and credit model can be harder to manage than a simpler subscription, especially for teams that want predictable spend across a busy content calendar. That does not make Jasper a bad choice, but it does mean buyers should evaluate how often the team will use the governed features versus how often they just need a writing assistant.

For organizations that already treat brand consistency as a workflow requirement, Jasper earns its place. For teams still figuring out positioning, it can feel more structured than helpful.

10. Notion AI

Notion AI works well for teams that want ideation, documentation, and project execution in one place. It is part of a workspace people already use for briefs, notes, tasks, and knowledge, which makes it more practical than a separate AI app for teams that want to avoid constant context switching.

The strength is the workspace itself. Notion AI can generate, autofill, translate, and support chat inside the same environment where meeting notes and project docs already live. Business and enterprise tiers also add features like AI Meeting Notes and Enterprise Search, which helps teams capture decisions and find them later without rebuilding context from scratch.

That makes it especially useful for cross-functional work. Product, marketing, and operations teams can keep briefs, notes, and execution artifacts in one system, then use AI to surface older decisions and reuse them in new work. The value is less about flashy generation and more about building a clear knowledge layer around day-to-day projects.

The trade-off is scope. Notion AI is strongest inside an existing Notion workflow, so teams that keep core documents elsewhere may not feel the same benefit. It works best when the workspace is already the source of truth.

The best workspace AI is the one people actually keep open all day. Notion AI earns its place because it lives where the docs and decisions already are.

Best uses

  • Briefing and planning: Good for drafts, summaries, and project pages.
  • Meeting capture: Helps turn discussions into usable notes.
  • Knowledge reuse: Useful when teams need to pull from older docs and decisions.
  • Cross-functional work: Fits teams that move between marketing, product, and operations without leaving the workspace.

10. Notion AI

Notion AI is strongest when your team wants ideation, documentation, and project execution in one place. It isn't just a writing layer. It sits inside a workspace people already use for briefs, notes, tasks, and knowledge, which makes it more practical than standalone AI for teams that hate context switching.

The workspace angle is the core value. Notion AI can generate, autofill, translate, and help with chat inside the same environment where meeting notes and project docs already live. Business and enterprise tiers also add features like AI Meeting Notes and Enterprise Search, which makes the tool useful for teams that need to capture decisions and retrieve them later without starting from scratch.

That makes Notion AI especially good for cross-functional teams. Product, marketing, and operations can keep briefs, notes, and execution artifacts in one system, then use AI to surface and reuse them. It's less about dazzling generation and more about building a coherent knowledge layer around the work.

The best workspace AI is the one people actually keep open all day. Notion AI earns its place because it lives where the docs and decisions already are.

Best uses

  • Briefing and planning: Good for drafts, summaries, and project pages.
  • Meeting capture: Helps turn discussions into usable notes.
  • Knowledge reuse: Useful when teams need to pull from older docs and decisions.
  • Cross-functional work: Fits teams that move between marketing, product, and ops.

The main limitation is metering. Advanced automations and custom agents can be credit-based, and the AI features on lower tiers are more limited. That means Notion AI is a strong fit for teams already committed to Notion, but less compelling as a reason to switch into it.

For teams trying to keep shared work organized, it's one of the best AI tools because it links thinking and execution in a single place. That's a more durable advantage than a flashy feature that nobody uses twice.

Top 10 AI Tools, Feature Comparison

Product Core features UX / Quality (★) Value & Pricing (💰) Target audience (👥) Unique selling points (✨)
Bulby 🏆 AI‑guided 6‑step brainwriting, anonymous submissions, randomized exercises, auto‑summaries ★★★★★ 💰 14‑day trial; team/enterprise (contact); periodic promos 👥 Marketing & ad agencies, brand strategists, creative teams ✨ Structured, bias‑reducing sessions + AI‑generated report
OpenAI ChatGPT General‑purpose assistant, multimodal, custom GPTs, business workspaces ★★★★☆ 💰 Free tier; Plus, Business & Enterprise; API billed separately 👥 Teams & individuals across functions ✨ Highly flexible, custom GPT ecosystem
Anthropic Claude Long‑context reasoning, safer defaults, code & collaboration tools, workspaces ★★★★☆ 💰 Seat + usage pricing; enterprise options 👥 Product, research & brand‑sensitive teams ✨ Strong instruction‑following and long‑context support
Google Gemini Integrated in Gmail/Docs/Notebook, deep research, AI Pro tiers ★★★★☆ 💰 Bundled via Google One / AI Pro; tiered access 👥 Google Workspace‑centric teams ✨ Native Google app integration & search grounding
Microsoft Copilot (M365) In‑app copilots (Word/Excel/PowerPoint/Teams), Copilot Chat, data connectors ★★★★☆ 💰 Add‑on Copilot licenses; pricing varies by M365 SKU 👥 Microsoft 365 organizations, enterprise IT ✨ Deep Office integration + enterprise governance
Midjourney Discord‑based image & video generation, Fast/Relax GPU modes, stealth option ★★★★★ 💰 Subscription tiers with GPU time; higher tiers for privacy/Stealth 👥 Visual designers, art directors, creative teams ✨ Leading image quality & rapid visual concepting
Adobe Firefly Generative image/video/audio with commercial‑safe defaults; Adobe integrations ★★★★☆ 💰 Plan tiers with generative credits; best value with Adobe apps 👥 Agencies needing production pipeline & legal clarity ✨ Commercially safe outputs + Photoshop/Express workflow
Perplexity Live web grounding, citation trails, model switching, Pro/Enterprise credits ★★★☆☆ 💰 Free & Pro/Enterprise; credit model for advanced agents 👥 Researchers, analysts, content strategists ✨ Citation‑heavy, live‑web answers for briefs
Jasper Marketing‑focused copy, Brand Voices, AI Agents, Jasper Grid for scale ★★★★☆ 💰 Seat + credits; Business plans with governance 👥 Marketing teams & agencies scaling content ops ✨ Brand‑governed outputs and scalable content workflows
Notion AI Workspace agent, meeting notes, enterprise search, automations & agents ★★★★☆ 💰 Business seats include AI; Free/Plus limited features 👥 Cross‑functional teams, product & marketing ✨ Ideation + project execution + knowledge in one workspace

Integrate, Don't Just Accumulate Your Next Steps with AI

The best AI toolkit isn't a pile of subscriptions, it's a system that matches how your team works. If brainstorming is your bottleneck, start with Bulby and give your team a better way to surface raw ideas before the first draft ever starts. If drafting and iteration are the problem, add a general assistant like ChatGPT or Claude. If research is the weak spot, bring in Perplexity so your strategy starts with sources, not guesses.

That sequence matters because the right stack reduces friction at each stage. Bulby helps teams generate stronger concepts with less social bias. Jasper helps marketing teams protect brand voice. Midjourney and Adobe Firefly help turn direction into visuals. Notion AI and Microsoft Copilot help keep execution organized inside the systems your team already uses.

The most common mistake is buying tools in isolation. A creative team signs up for one app for brainstorming, another for copy, another for images, and another for notes, then wonders why nobody wants to maintain the process. A better approach is to choose one core tool for each major job, then connect them into a workflow your team can repeat under pressure.

Start small. Pick one bottleneck, run a real project through one tool from this list, and measure whether it makes the work clearer, faster, or easier to approve. If it doesn't, move on quickly. The goal is not to admire the software, it's to help your team produce better work with less drag.

A CTA for Bulby.

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Editorial Team