AI agents are the biggest shift in business software since the spreadsheet, but most “AI agent” tools are really just chatbots with a new label. These are the five we rate that actually finish work rather than talk about it, who each one is genuinely for, and where each falls short.
How we pick and score: see our method and rubric. Scores are not for sale, and skipped tools carry no affiliate link.
Transparency: some links below are affiliate links. If you start a paid plan through them we may earn a commission, at no extra cost to you, and it never changes which tools make this list or what we say about them. I run AI-automation products myself (including one on this list), so I’ve flagged that openly where relevant. Hayley Brown.
What actually counts as an “AI agent”?
A chatbot answers questions. An AI agent takes an instruction, plans the steps, uses your other tools to carry them out, and hands back a finished result: a report, an updated CRM record, a scraped dataset, a booked call. The test is simple. Does it do the work, or does it just describe the work? Every tool below passes that test, but they solve very different jobs. Here’s the quick version.
| Tool | Best for | Agent type | Starting point |
|---|---|---|---|
| Echo | Teams that live in Slack and want an “AI employee” | General task agent | Free tier |
| Make | Building your own automated workflows | Workflow / automation | Free tier |
| CustomGPT | Customer support and knowledge answers | Knowledge agent | Paid plans, free trial |
| Browse.ai | Pulling and monitoring data from websites | Web-data agent | Free tier |
| GoHighLevel | Agencies and sales teams automating outreach | Sales / marketing agent | From ~$97/mo, 14-day trial |
1. Echo: the closest thing to an actual AI employee
Echo (echobrain.io) is built around one idea: “stop doing the work software was supposed to do.” It lives inside the Slack you already use, so there’s no new dashboard to learn. You describe a task in plain English, such as “pull last month’s Stripe revenue, compare it to the forecast in Notion, and write me a summary”, and Echo plans it, uses the relevant tools, and comes back with the finished deliverable rather than a string of follow-up questions.
Why it stands out: it connects to 3,000+ tools (Stripe, HubSpot, Notion, Linear, GitHub, Salesforce, Shopify and more), returns real outputs such as PDFs, spreadsheets, Notion pages and deployed changes, and asks for explicit approval before it changes any external data. That last point matters, because it’s the difference between a helpful agent and a risky one. It also remembers prior conversations and your workspace context, so it gets more useful over time.
Best for: founders and cross-functional teams (marketing, ops, finance, engineering) drowning in “glue work”, the manual reconciling, report-building and tool-hopping that eats the day. If your company already runs on Slack, the setup-in-minutes, no-new-app approach is the lowest-friction way to get a genuine agent working for you.
Where it’s limited: it’s Slack-first, so if your team doesn’t use Slack it’s not the right fit. And like any agent given real permissions, you’ll want to use the approval workflow deliberately at first while you learn to trust it.
→ Try Echo free (disclosure: this is my own product, so I’m biased. Judge it against the alternatives below.)
2. Make: the DIY workflow builder that scales with you
Where Echo is “describe it and it’s done,” Make is “build it once and it runs forever.” It’s a visual canvas where you connect apps into automated scenarios: triggers, actions, filters, and increasingly AI steps that summarise, classify or generate along the way. If you can picture the flow, you can build it, usually without code.
Best for: anyone who wants repeatable, reliable automations they control, such as lead routing, data syncing between apps, content pipelines and notifications. It has a genuinely usable free tier, and the price-to-power ratio is excellent as you grow.
Where it’s limited: it’s not autonomous. You design the logic, it executes it. That’s a feature (predictable, auditable) and a limit (it won’t improvise). There’s a learning curve on the more advanced scenarios.
3. CustomGPT: the knowledge agent for support and answers
CustomGPT.ai builds an AI agent trained on your content, such as help docs, your website, PDFs and policies, that answers customer and staff questions accurately without hallucinating, because it’s anchored to your material. You can embed it on your site, wire it into support, or hit it via API.
Best for: businesses with a big body of documentation and repetitive questions: support deflection, internal knowledge lookup, onboarding. It’s the most focused tool here, and that focus is why it works.
Where it’s limited: it’s an answer engine, not a do-the-task agent, so it won’t update your CRM or run a workflow. Pair it with Make or Echo if you need action as well as answers.
4. Browse.ai: the agent that turns any website into data
Browse.ai is a specialist. Point it at a web page, show it what to grab, and it extracts that data on a schedule with no code, then alerts you when it changes. Competitor pricing, job listings, product stock, directory data: it scrapes and monitors sites that don’t offer an API.
Best for: market research, lead lists, price monitoring, and any “keep an eye on this page and tell me when it changes” job. It’s the tool on this list I reach for when the data I need is trapped on someone else’s website.
Where it’s limited: it does one thing, web data. It’s not a general assistant. But for that one thing it’s excellent and hard to beat.
5. GoHighLevel: the sales and marketing agent for agencies
GoHighLevel isn’t a single agent. It’s an all-in-one platform with AI woven through it: a Conversation AI that books appointments and replies to leads across SMS, email and social, plus workflow automation, CRM and funnels. For agencies and sales teams, its AI acts like a tireless SDR that never misses a follow-up.
Best for: agencies, consultants and local-service businesses that want lead capture, nurture and booking handled automatically, and, because it white-labels, agencies reselling it to clients.
Where it’s limited: it’s a big platform with a real learning curve, and it’s priced for businesses, not hobbyists (from around $97/mo). If you just want a single narrow agent, it’s overkill. If you want an entire marketing engine, it’s superb value.
Which AI agent should you choose?
- You live in Slack and want an all-round AI employee: Echo.
- You want to build reliable, controllable automations: Make.
- You need to answer repetitive questions from your own docs: CustomGPT.
- You need data pulled or monitored from websites: Browse.ai.
- You’re an agency or sales team automating outreach: GoHighLevel.
Most businesses end up using two: a general agent (Echo) for the ad-hoc work, plus a specialist (Browse.ai, CustomGPT or GoHighLevel) for a specific job. They complement each other rather than compete.
If your priority is pipeline specifically, we compare the options in our guide to the best AI for sales.
Also worth knowing: the broader agent space includes Zapier’s AI agents, Lindy and Relevance AI. We’ve focused above on the tools we use and rate for small and medium businesses, and we’ll expand this guide as we test more.
Frequently asked questions
What is an AI agent, in plain English?
Software that takes a goal, works out the steps, uses your other tools to carry them out, and delivers a finished result rather than just chatting. Think “digital employee” instead of “chatbot.”
Are AI agents safe to give access to my business tools?
The good ones use approval workflows, meaning they ask permission before changing data. Start with read-only or approval-required tasks, build trust, then widen their remit. Echo, for example, requires explicit approval before modifying anything external.
Do I need coding skills to use an AI agent?
No. Every tool here is designed for non-technical users. Echo and GoHighLevel are plain-English, while Make, CustomGPT and Browse.ai are visual and no-code.
What’s the difference between an AI agent and Zapier or Make?
Automation tools like Make run pre-built workflows you design. A true AI agent can plan and adapt to a goal you describe in the moment. Many businesses use both: the agent for open-ended work, the automation for predictable, repeatable flows.
Checked automatically
Last verified 2026-07-27. These rows are gathered automatically from each vendor’s own public pages and refreshed on a schedule. They record what each vendor publishes, not how well the tool performs. Anything we cannot observe is marked “Not stated” rather than guessed. See our method.
| Tool | Free trial | Integrations stated | Pricing published | Security or privacy published |
|---|---|---|---|---|
| Echo (ours) | No | 3000 | No | Yes |
| Make | Could not verify automatically (the vendor blocks automated checks) | |||
| CustomGPT | Yes | Not stated | Yes | Yes |
| Browse.ai | Yes | 7000 | No | Yes |
| GoHighLevel | Yes | Not stated | Yes | Yes |
About the author: Hayley Brown builds AI-automation tools for businesses and tests AI software daily. She writes Which AI For Business to cut through the hype with honest, hands-on verdicts. More about Hayley →
Related: see our guide to the best AI tools for financial analysis.
Related: see our guide to the best AI WhatsApp automation tools.