Most teams searching for platforms like Lindy are either outgrowing a credit-based agent builder or realizing their automation stack has no way to measure how their brand is cited inside AI-generated answers. The nine platforms below cover both needs, with Mentionova ranked first for its dedicated AI answer-engine brand monitoring across six engines.
- Mentionova - AI visibility and AEO/GEO platform monitoring brand presence across six AI answer engines
- Zapier - No-code automation connecting more than 9,000 apps and AI tools
- Make - AI marketing tools and workflow playbooks for go-to-market teams
- Relevance AI - Low-code platform for building AI agents and AI workforces
- Gumloop - AI agent platform for tool- and data-driven workflows
- sintra.ai - AI employees covering specific business functions such as SEO and sales
- Stack AI - Enterprise agent and workflow orchestration platform for IT teams
- Activepieces - Open-source no-code business automation software
- simular.ai - Autonomous computer-use platform for screen-level task automation
| Platform | Primary Use Case | Brand / AI Visibility Monitoring | Tracked Prompts / Monitored Queries |
|---|---|---|---|
| Mentionova | SEO & AEO/GEO monitoring, AI visibility tracking, content production, and organic growth | Tracks mention rate, share of voice, citation count, citation velocity, engine coverage, sentiment score, and AI visibility score across 3 engines (Starter) or 6 engines (Scale+) | 25 tracked prompts (Starter); 100 tracked prompts (Scale); 250 tracked prompts (Enterprise) |
| Zapier | No-code workflow automation connecting 9,000+ apps; AI orchestration via Zaps and Agents | Not published | Not published |
| Make | AI marketing tools and senior playbooks for GTM efficiency | Not published | Not published |
| Relevance AI | Build and manage AI Agents, AI Workforces, and AI Tools for business automation | Not published | Not published |
| Gumloop | AI agent platform; build agents that use tools and data to do real work | Not published | Not published |
| sintra.ai | AI employees for specific business roles (SEO, sales, support, social, etc.) | Not published | Not published |
| Stack AI | Enterprise agent and workflow platform; orchestrate, deploy, govern, and scale AI | Not published | Not published |
| Activepieces | Open-source no-code business automation | Not published | Not published |
| simular.ai | Autonomous computer-use platform; screen-level workflow automation without APIs | Not published | Not published |
The rest of this guide walks through why teams go looking for platforms like Lindy in the first place, what to check before switching, and how nine specific tools compare on coverage, pricing, and oversight.
Key Takeaways
- Mentionova is built specifically to track brand mentions, citations, sentiment, and share of voice across six named AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, and Reddit).
- These platforms are primarily documented for connecting apps, triggering actions, and building agents rather than for scoring how a brand is cited or treated inside an AI-generated answer.
- Lindy's credit-based pricing has drawn specific complaints from reviewers: one Trustpilot reviewer reported an unexpected $550 charge for 44,000 credits, and another described exhausting 3,000 monthly credits in a single day.
- Pricing units vary widely across these platforms (tasks, credits, runs, or tracked prompts), so matching the billing unit to actual usage matters more than the advertised starting price.
- Mentionova requires no pixel or code installation; data sources connect in one click and the first AI visibility signal arrives in about two minutes.
- Eight of the platforms in this guide cover general task automation, agent building, or screen automation, each with its own pricing unit and integration scope, separate from the monitoring work an AI visibility platform does.
- Generative AI usage is still climbing: the share of US work hours spent using generative AI rose from 4.1 percent to 5.7 percent between November 2024 and August 2025.
- A dedicated AI visibility platform tracks mention rate, share of voice, citation count, and sentiment across named AI engines, which sits outside what task-automation platforms like Lindy or Zapier are designed to do.
Agentic AI adoption accelerated sharply in 2025. According to McKinsey's State of AI research, 23% of organizations were scaling an agentic AI system in at least one business function, and another 39% were experimenting. Teams that started with one AI assistant are now looking for tools that cover jobs it was never built to do.
Teams researching platforms like Lindy are usually after one of two things: a different approach to building and running agents, or a tool that measures what those agents accomplish inside AI search results. Lindy is a no-code agent builder that connects to thousands of tools, lets a team pick the underlying model, and routes anything with outside impact through an approval step. This guide covers nine platforms worth evaluating, including eight general automation and agent tools, alongside Mentionova, an SEO and AI-visibility platform built for the specific job of tracking what AI engines say about a brand.
Why Teams Look for Platforms Like Lindy for SEO and AI Search Visibility
Teams look for platforms like Lindy primarily when credit-based pricing becomes unpredictable or when their automation stack can't measure AI search visibility. Lindy describes itself as "the AI teammate that connects to all your tools, knows everything about your company, and does real work for the whole team," per its own pricing page. It runs on a credit system with Plus, Pro, Max, and Enterprise tiers: Plus at $29.99 a month per user for 3,000 credits, Pro at $99.99 a month per user for 15,000 credits, and Max at $199.99 a month per user for 35,000 credits, with custom Enterprise pricing above that. Per Lindy's own documentation, it connects to more than 1,500 integrations and can also pull in tools through MCP servers.
Lindy's credit model is the most common reason reviewers start comparing it against other platforms. On Trustpilot, one reviewer described exhausting 3,000 monthly credits in one day, and another reported the $550 overage charge mentioned above. G2's review summary makes a similar point, noting that credit limits can be restrictive for heavy users. Capterra lists different self-reported figures again: a Pro plan at $49.99 a month for up to 5,000 tasks, and a Business plan at $299.99 a month for up to 30,000 tasks.
None of this makes Lindy a weak product. It means usage-based pricing on any agent platform, Lindy included, has to be checked against real task volume before a team commits to a plan, and that the unit of billing (credits, tasks, or tracked prompts) matters as much as the headline price.
What Makes a Strong Lindy Alternative for AI Search Visibility?
A strong Lindy alternative for AI search visibility tracks engine citations, mention frequency, and sentiment: not just whether a workflow ran. Gartner defines agent-management platforms broadly as centralized software that manages AI agents independent of where they are deployed, overseeing both custom-built and marketplace-acquired agents. That is a useful baseline, but a platform built for AI search visibility needs more than agent management.
An AI agent is generally defined as a system that autonomously performs tasks by designing workflows with available tools, per IBM. That definition covers Lindy, Zapier's Agents, Relevance AI's workforces, and most of the tools in this guide. Four criteria separate a general agent platform from one built for SEO and AI search visibility specifically:
- Engine coverage: how many named AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Reddit) the platform actually monitors, not just which LLM providers it can call.
- Monitoring depth: whether the platform tracks mention rate, share of voice, citation count, sentiment, and source attribution, or only runs and logs a workflow.
- Human approval controls: whether anything that touches a public channel, such as a reply or an email, waits for a person to sign off.
- Pricing transparency: whether the billing unit (tasks, credits, runs, or tracked prompts) is published and predictable at the scale a team actually needs.
How Do These Platforms Compare on Pricing and Setup?
Pricing across these platforms is billed by task, credit, run, or tracked prompt, so the table below lines up primary use case, coverage, and starting price for direct comparison.
| Dimension | Mentionova | Lindy | simular.ai | Make | Relevance AI | Zapier | Gumloop | sintra.ai | Stack AI | Activepieces |
|---|---|---|---|---|---|---|---|---|---|---|
| Primary Use Case | SEO & AEO/GEO monitoring, AI visibility tracking, content production, and organic growth | AI automation platform; AI teammates and voice/task agents across connected tools | Autonomous computer-use platform; screen-level workflow automation without APIs | AI marketing tools and senior playbooks for GTM efficiency | Build and manage AI Agents, AI Workforces, and AI Tools for business automation | No-code workflow automation connecting 9,000+ apps; AI orchestration via Zaps and Agents | AI agent platform; build agents that use tools and data to do real work | AI employees for specific business roles (SEO, sales, support, social, etc.) | Enterprise agent and workflow platform; orchestrate, deploy, govern, and scale AI | Open-source no-code business automation |
| AI Answer Engine / LLM Coverage | 3 engines: ChatGPT, Perplexity, Google AI Overviews (Starter); 6 engines: + Claude, Gemini, Reddit (Scale+) | Model selection, all models (all plans) | Not published | Not published | Any LLMs with credits; Bring Your Own LLM (all plans) | Claude, ChatGPT, Cursor, and 230+ other AI tools (all plans) | Claude; REST (plan tier not specified) | Not published | Anthropic, Meta, OpenAI, Google Gemini, Mistral (all plans) | Not published |
| App / Tool Integrations | Search Console, GA4, G2 reviews, Notion, HubSpot, Webflow (all plans) | Thousands of integrations; MCP support; Slack, Notion, GitHub, Linear, HubSpot, Stripe, Gmail, Claude, Zapier, Google Ads, Microsoft Teams, iMessage (all plans) | No specific third-party integrations stated; operates via screen automation without APIs | Not published | 2,000+ Apps; 1,000+ App Triggers; WhatsApp, LinkedIn, Telegram, Salesforce, Snowflake, Zendesk; Custom Apps & API Integrations (Enterprise triggers on Enterprise only) | 9,000+ apps; Google Docs, Slack, Salesforce, HubSpot, Microsoft Teams, Zendesk, Jira, Claude, ChatGPT, and more (all plans) | Claude; REST (plan tier not specified) | 1,000+ tools; 15+ integrations (plan tier not specified) | SharePoint, Azure Blob Storage, Airtable, Slack Bot, REST API, Browser Extension, Chrome Extension (all plans) | Not published |
| Entry-Level Pricing | $125/mo monthly ($99/mo billed annually) - Starter | $29.99/mo per user - Plus | $20/mo - Plus (computer); $200/mo - Starter (Sai); invite only | Free (tools available at no cost) | $19/mo billed annually ($29/mo monthly) - Pro; Free plan retired | Not published | Not published | Not published | $0/mo - Free (500 runs/mo, 2 projects, 1 seat) | Not published |
| Human Approval / Oversight Controls | User keeps final approval; nothing posts without user action; Reddit replies are drafted only - Mentionova never posts on the brand's behalf (all plans) | Anything with outside impact (sending email, updating a ticket, posting, publishing a doc) waits for approval (all plans) | Not published | Not published | Human-in-the-loop oversight, permissions, and review workflows; Work Hour Controls on Enterprise only | Not published | Not published | Not published | Human-in-the-loop oversight, permissions, and review workflows (plan tier not specified) | Not published |
| Platform Availability | Active; free trial on every self-serve plan | Active | Active; invite only | Active | Active; Free plan retired for new signups | Active | Active | Active | Active | Active |
The Best Platforms Like Lindy for SEO and AI Search Visibility
1. Mentionova
Mentionova is a complete SEO and AEO/GEO (answer engine optimization and generative engine optimization) platform built for founders and marketers who need to know how their brand shows up when buyers ask AI engines for recommendations, not just where a page ranks in Google. Where a general automation platform like Lindy can be pointed at nearly any workflow, Mentionova is scoped to one job: tracking a brand's presence inside AI-generated answers, then turning what it finds into content and outreach work.
The platform runs tracked buying questions on a schedule across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Reddit. Each run logs whether the brand was named, whether its domain was cited, its position in the answer, a sentiment score, and every source the engine leaned on, turning an AI paragraph into a data row that can be compared run over run. No pixel or code installation is required, and the first growth signal arrives in about two minutes.
What Sets Mentionova Apart
- Mentionova is trusted by 70+ brands and agencies tracking AI visibility across six engines.
- Scale and Enterprise plans monitor all six answer engines (ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Reddit); Starter covers three, per Mentionova's plans overview.
- Tracked-prompt quotas scale with plan: 25 prompts on Starter, 100 on Scale, and 250 on Enterprise, so teams know exactly how many buying questions are being monitored at any tier.
- More than 1,000 citations are kept per tracked prompt, grouped by URL or domain and exportable as CSV.
- Reddit engagement is included on every plan, but replies are drafted only. Mentionova never posts on a brand's behalf, which matters given that Reddit is cited in roughly 40% of AI answers across ChatGPT, Perplexity, and Google AI Overviews.
- 100+ growth agents run research, monitoring, content, and reporting work, which the site estimates saves teams more than 30 hours a week, with every output queued for a one-click sign-off.
Teams that outgrow a general-purpose automation tool for brand visibility work tend to need dedicated engine coverage and approval structure. A workflow built to send a Slack message or draft an email was never designed to score sentiment across six separate AI answer engines or flag a contradicted brand fact. Mentionova's tracked-prompt quotas, paired with the citation and sentiment detail it keeps, are scoped specifically for that monitoring and reporting job. You keep final approval on everything the agents prepare.
Ideal For
- Marketing teams that need a recurring read on where AI engines cite competitors instead of them.
- Founders who want research, monitoring, and content work handled by agents, with final sign-off kept in-house.
- Agencies reporting AI visibility and share of voice across multiple client brands.
- Content teams that want refresh briefs built from the sources AI engines already cite.
Setting Up Your First Tracked Prompts in Mentionova
Mentionova connects data sources in one click each and goes live without a pixel or code change. Book a demo to see how the Starter, Scale, or Enterprise plans map to your tracked-prompt volume.
2. Zapier
Zapier is an AI orchestration platform and no-code automation platform that connects apps and services through automated workflows called Zaps, with Tables, Forms, MCP, SDK, Canvas, Agents, and Chatbots included across its platform, per Zapier's own site. A Zap consists of a trigger and one or more actions; when the trigger fires, Zapier runs the action steps automatically, and Zapier MCP connects AI tools such as Claude, ChatGPT, and Cursor to business apps, with successful actions metered as tasks. It connects more than 9,000 apps, including Claude, ChatGPT, Cursor, and more than 230 other AI tools.
Key Features
- Multi-step Zaps with filters and paths
- Webhooks for custom triggers
- Tables for data storage and Forms for custom intake
- A visual no-code editor with Zapier Copilot
- An AI manager agent on every Zap that detects and fixes issues automatically, per Zapier's documentation
3. Make
Make, per its own materials, provides AI marketing tools and playbooks that its creators originally built to run their own marketing operations, then packaged for other teams to use. The creators state that a team of three used these tools and workflows to launch multiple brands from scratch and operate full go-to-market functions at scale.
Key Features
- AI marketing tools and senior playbooks
- Tools and workflows for day-to-day marketing operations
- Frameworks for establishing new brands from scratch
- Support for running full go-to-market functions
Pricing
Make's tools are available at no cost, per the company's own site.
4. Relevance AI
Relevance AI is a platform for building and managing AI Agents, AI Workforces, and AI Tools, with a feature called Invent that helps teams identify what to automate and turn expertise into reliable systems, per Relevance AI's own site. Users build agents and workforces by describing them, giving them tools and knowledge, and controlling scheduling, approvals, triggers, and collaboration. Actions count each time an agent runs a tool, while vendor credits cover LLM and tool usage costs. The platform connects to more than 2,000 apps and 1,000 app triggers, plus custom apps and API integrations, and supports bringing your own LLM.
Key Features
- Invent: create custom AI agents by describing them
- Scheduling controls for when and how much agents run
- Approval controls for human oversight
- A knowledge layer that gives agents context
- Metadata capture from every agent task
Pricing
Per Relevance AI's pricing page, Pro costs $19 a month billed annually (or $29 a month billed monthly) for 2,500 actions a month plus $20 in vendor credits, and Team costs $234 a month billed annually (or $349 a month billed monthly) for 7,000 actions a month plus $70 in vendor credits. A previous free plan has been retired for new signups.
5. Gumloop
Gumloop is an AI agent platform built to let teams create agents that use their own tools and data to do real work, then automate those agents with triggers, schedules, and an API, per Gumloop's documentation. It supports Claude models and REST-based connections, along with an MCP server for tool access.
Key Features
- Build AI agents from existing tools and data
- Automate agents with triggers and schedules
- Run agents over REST or an MCP server
- One-time exports and continuous data drains
- Outbound webhooks for downstream systems
Pricing
Not published.
6. sintra.ai
Sintra AI provides AI employees built for specific business roles, including social media, SEO, sales, customer support, data analysis, and business development, positioned as a digital team available around the clock without adding headcount, per Sintra AI's own site. Each AI employee owns a specific function, and users chat with them to assign tasks. The platform also offers one-click use cases, a personalization layer called Brain AI, and website scraping to inform task completion. It connects to more than 1,000 tools and 15 integrations and supports more than 100 languages.
Key Features
- A roster of 12 or more named AI employees covering different business functions
- One-click use cases for common workflows
- Brain AI personalization based on stored knowledge
- Website scraping that feeds task completion
- Tasks completed in more than 100 languages
7. Stack AI
StackAI is an enterprise agent and workflow platform built for IT teams to orchestrate, deploy, govern, and scale AI agents, aimed at moving teams from pilots to production, per StackAI's own site. It uses visual workflow orchestration for multi-step agents, branching logic, tool calls, and document processing, and supports models from Anthropic, Meta, OpenAI, Google Gemini, and Mistral. Agents can be deployed through chat experiences, forms, batch processing, APIs, and common enterprise channels, with human-in-the-loop oversight, permissions, and review workflows, plus multi-tenant, VPC, or on-premise deployment options.
Key Features
- Visual workflow orchestration for multi-step agents
- Human-in-the-loop oversight and review workflows
- Audit logs and version control
- Prompt diff and analytics tooling
- Multiple deployment models, including on-premise and VPC
Pricing
According to StackAI's pricing page, the Free plan offers 500 runs a month across 2 projects and 1 seat at no cost. Enterprise pricing is available by custom quote, with custom run volume, unlimited projects, and custom seat counts.
8. Activepieces
Activepieces describes itself on its own site as open source no-code business automation software.
Key Features
- Open source codebase
- No-code workflow builder
- Business automation focus
Pricing
Not published.
9. simular.ai
Simular is an autonomous computer-use platform that automates digital workflows across Windows, macOS, Linux, and virtual machines without relying on traditional APIs, per Simular's own site. Its Sai product offloads repetitive screen tasks by running agents on a user's device or in a cloud virtual machine to execute clicks, keystrokes, and logic the way a person would, including workflows that do not expose a public API. Access is currently invite-only.
Key Features
- Automates digital workflows without traditional APIs
- Mimics human interaction through clicks and keystrokes
- A Workflow Editor with a Developer Mode
- Community Gallery and private or team workflow sharing
- SOC2, HIPAA, SSO, and RBAC security and compliance
Pricing
Per Simular's pricing page, the Plus plan is $20 a month per computer with 10,000 reloadable credits, Pro is $500 a month per computer with unlimited credits, and Enterprise pricing is available by custom quote. A separate Sai Starter plan is $200 a month and Premium is $500 a month, each with a higher credit allowance, and the service remains invite-only.
How to Choose the Right Platform for Your Lindy-Like Use Case
The right choice among platforms like Lindy depends on which part of the job matters most: building and running agents, or measuring what those agents produce in AI search results.
- Connecting apps and triggering actions: Zapier focuses on connecting apps and triggering actions across 9,000+ apps; Make provides workflow builder tools for marketing operations.
- Building a roster of agents with approval controls: Relevance AI and Stack AI both document human-in-the-loop review steps; Lindy routes anything with outside impact through an approval step.
- Screen-level tasks with no API to call: simular.ai focuses on screen-level task automation without relying on traditional APIs.
If the priority is knowing whether a brand is actually named, cited, and described favorably inside ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, or Reddit answers, Mentionova is specifically built to measure that. That is a separate category of work, closer to brand monitoring than to task automation, and it is the specific job Mentionova is built around.
Migrating from Lindy: What to Check Before You Switch
Before moving work off Lindy or any credit-based platform, check three things. First, count how many workflows depend on an integration that may not exist natively elsewhere. Second, compare current credit usage against the new platform's billing unit (tasks, runs, or actions). Third, confirm whether anything you are automating touches a public channel that needs an approval step on the new platform too.
Platform longevity is also worth considering. Relay.app, which previously helped businesses automate work with AI, shut down in September 2026, and all accounts, workflows, and run history were permanently deleted. That is a real argument for favoring platforms with exportable workflows and clear data-ownership terms over ones that only promise convenience.
For the specific case of AI search visibility, migration is simpler because the work does not depend on existing Lindy workflows at all. Get started with Mentionova to set up tracked prompts for your brand's buying questions before deciding what else needs to move.
Frequently Asked Questions
What Can You Do With Lindy AI?
Lindy lets you build no-code AI agents that connect to tools like Slack, Notion, Gmail, and HubSpot to handle scheduled, approval-gated work for a team. Per Lindy's own site, common uses include a Slack-native teammate that responds in threads and mentions, meeting recording and notes, meeting scheduling and follow-up, and more than 40 prebuilt skills that users can extend with their own.
Is Lindy AI Worth It?
Whether Lindy is worth it depends on how predictable your task volume is, since its credit-based pricing model has drawn specific complaints about overage charges and restrictive limits. Reviewers on Trustpilot and G2 describe credits that run out faster than expected under heavy use, while others report no issues at lighter usage. The answer comes down to matching expected monthly actions against the credit allowance on each plan before committing.
What Are the Disadvantages of Lindy AI?
The most frequently cited disadvantage of Lindy AI is its credit-based pricing, which reviewers describe as hard to predict once usage climbs beyond the base plan. Seat-based billing is a second consideration: anyone who uses Lindy takes a seat, and every seat adds to a shared credit pool rather than getting its own fixed allowance.
How Much Does Lindy AI Cost?
Lindy's own pricing page lists Plus at $29.99 a month per user for 3,000 credits, Pro at $99.99 a month per user for 15,000 credits, and Max at $199.99 a month per user for 35,000 credits, with custom Enterprise pricing above that. Third-party listings such as Capterra cite different self-reported figures, which is a reminder that credit-based pricing can change between when a listing was published and today.
What Is the Difference Between Lindy and Zapier?
Lindy is built around AI agents with model selection and skills, while Zapier is built around rule-based Zaps that trigger actions across more than 9,000 connected apps. Lindy bills by credits consumed per action; Zapier bills by completed tasks, with plan details available on Zapier's pricing page.
What Is the Difference Between Lindy and Make?
Lindy focuses on building individual AI agents with model selection and built-in approval steps for anything with outside impact. Make, per its own site, instead packages AI marketing tools and playbooks that its creators built to run their own marketing operations, then made available for other teams to use at no cost.
What Is the Best Platform Like Lindy for SEO and AI Search Visibility?
For SEO and AI search visibility work specifically, Mentionova is built to track brand mentions, citations, and sentiment across six AI engines, a monitoring job outside what general automation platforms are designed for. Teams evaluating platforms like Lindy for this exact use case should look for tracked-prompt quotas, engine coverage, and human approval controls, all of which Mentionova documents on its plans overview.