Conversational AI Gohighlevel

Understanding Conversational AI in the Digital Era

Conversational AI represents one of the most significant technological advancements of our time, transforming how businesses interact with their customers. At its core, Conversational AI combines natural language processing (NLP), machine learning, and cognitive computing to enable human-like interactions between machines and humans. When integrated with platforms like GoHighLevel, it creates a powerful synergy that can revolutionize customer engagement strategies. The technology has evolved from simple rule-based chatbots to sophisticated systems capable of understanding context, sentiment, and intent. According to a recent study by Juniper Research, businesses can save up to 2.5 billion customer service hours using Conversational AI by 2023, translating to approximately $11 billion in cost savings. This fundamental shift in communication technology is particularly relevant for businesses using comprehensive marketing platforms like GoHighLevel, where seamless customer interactions are paramount to success.

The Evolution of GoHighLevel as a Marketing Automation Platform

GoHighLevel has established itself as an all-in-one marketing automation platform designed to streamline various aspects of digital marketing. Originally launched as a CRM solution, the platform has expanded to encompass functionalities like landing page creation, email marketing, SMS campaigns, and reputation management. This evolution reflects the growing demand for integrated marketing solutions that eliminate the need for multiple disconnected tools. In recent years, GoHighLevel has recognized the transformative potential of AI, particularly in the realm of customer communications. The platform’s journey mirrors the broader technological trends in marketing automation, where the focus has shifted from mere task automation to intelligent, data-driven decision-making. By integrating AI voice assistant capabilities, GoHighLevel has positioned itself at the forefront of the conversational marketing revolution, enabling businesses to create more personalized, efficient, and scalable customer engagement strategies that align perfectly with today’s digital-first consumer expectations.

How Conversational AI Transforms GoHighLevel’s Functionality

The integration of Conversational AI into GoHighLevel fundamentally enhances the platform’s core capabilities, creating a more dynamic and responsive system for business communications. This technological fusion enables GoHighLevel users to implement intelligent conversation flows that adapt in real-time based on customer inputs, significantly improving engagement rates and conversion opportunities. With natural language processing at work, the platform can interpret customer queries more accurately, provide contextually relevant responses, and maintain conversation continuity across multiple channels. For instance, a lead captured through a landing page can be automatically engaged via an AI-powered conversation that qualifies and nurtures them without human intervention. The platform’s conversational AI capabilities enable businesses to create sophisticated communication workflows that can handle appointment scheduling, product inquiries, and even complex sales processes. Furthermore, these AI conversations generate valuable data points that feed back into GoHighLevel’s analytics engine, providing businesses with deeper insights into customer preferences, pain points, and behavior patterns – ultimately creating a virtuous cycle of continuous improvement in customer engagement strategies.

Key Features of Conversational AI in GoHighLevel

GoHighLevel’s Conversational AI capabilities come with a robust set of features designed to enhance customer engagement and streamline business operations. The platform offers multi-channel conversation management that maintains context across various communication channels including chat, email, SMS, and voice. A standout feature is the intent recognition system that can identify customer needs from natural language inputs, allowing businesses to route conversations appropriately or trigger automated workflows. The sentiment analysis capabilities enable the system to detect customer emotions and adjust responses accordingly, creating more empathetic interactions. GoHighLevel’s Conversational AI also includes knowledge base integration, allowing it to pull information from your business documentation to answer customer queries accurately. Additionally, the platform provides AI appointment scheduling features that can negotiate available times with customers and book meetings without human intervention. For businesses looking to scale their sales efforts, the system offers AI sales calls functionalities that can qualify leads and move prospects through the sales funnel. These features collectively create a comprehensive communication ecosystem that can handle complex customer interactions while maintaining a personal touch.

Implementing Conversational AI in GoHighLevel: A Step-by-Step Approach

Implementing Conversational AI within GoHighLevel requires a strategic approach to maximize effectiveness. Begin by identifying key conversation touchpoints in your customer journey where AI can add value, such as lead qualification, appointment scheduling, or support queries. Next, craft natural-sounding conversation flows that align with your brand voice using GoHighLevel’s visual builder. This stage is crucial as it determines how your AI will interact with customers. Consider working with a prompt engineering specialist to optimize your conversation scripts for better outcomes. Then, integrate your existing knowledge base and CRM data to ensure the AI has access to accurate information about your products, services, and individual customers. Before going live, thoroughly test your Conversational AI across multiple scenarios and refine responses based on test interactions. Once deployed, establish a monitoring system to review conversations regularly, identifying opportunities for improvement. Many successful implementations follow a phased approach, starting with simpler use cases like FAQ handling through an AI voice assistant for FAQ handling before moving to more complex scenarios like sales conversations. Remember that Conversational AI implementation is an iterative process that improves over time as the system gathers more data from real customer interactions.

Enhancing Customer Service with GoHighLevel Conversational AI

Customer service represents one of the most impactful applications of Conversational AI within the GoHighLevel ecosystem. By implementing AI-powered customer service capabilities, businesses can provide instant, 24/7 support without increasing staffing costs or compromising quality. GoHighLevel’s Conversational AI can be configured to handle routine customer inquiries, troubleshoot common issues, and escalate complex matters to human agents when necessary. This tiered approach optimizes resource allocation while maintaining high customer satisfaction levels. The system’s ability to maintain conversation history creates continuity in customer interactions, eliminating the frustration of repeating information. For businesses with international customers, multilingual support capabilities allow for serving diverse markets without language barriers. Many companies are leveraging these capabilities through AI call center solutions integrated with GoHighLevel, creating seamless support experiences. The platform’s customer service tools can be enhanced with conversational AI to create personalized support experiences based on customer data and past interactions. Statistical evidence supports this approach, with Gartner predicting that by 2025, customer service organizations that embed AI in their multichannel customer engagement platform will increase operational efficiency by 25%, making this integration a strategic imperative for forward-thinking businesses.

Automating Lead Generation and Qualification Through Conversational AI

Conversational AI within GoHighLevel has revolutionized lead generation and qualification processes, creating more efficient pathways from initial contact to sales-ready prospects. The technology enables proactive lead engagement through interactive conversations that capture relevant information while providing value to potential customers. Unlike traditional forms, conversational lead generation feels natural and responsive, significantly improving completion rates and data quality. GoHighLevel’s AI can initiate conversations based on website behavior triggers, engaging visitors at optimal moments with contextually relevant questions. As the conversation progresses, the system qualifies leads in real-time, scoring them based on predefined criteria and routing high-potential prospects to sales teams for immediate follow-up. This seamless process is further enhanced by integration with AI cold calling capabilities for outbound lead generation, creating a comprehensive approach to prospect development. The platform’s ability to nurture leads through personalized follow-up conversations keeps prospects engaged throughout longer sales cycles, preventing valuable opportunities from falling through the cracks. Companies implementing conversational lead qualification have reported up to 40% improvement in lead quality and 35% reduction in cost-per-qualified-lead according to research by Drift, making this application of Conversational AI particularly valuable for growth-focused businesses leveraging GoHighLevel.

Sales Acceleration Using GoHighLevel’s Conversational AI

The sales process within GoHighLevel receives a significant boost from Conversational AI integration, allowing businesses to accelerate deal velocity and improve conversion rates. The technology enables intelligent sales conversations that can qualify prospects, address objections, and guide customers through the purchasing decision at scale. By automating initial sales interactions, GoHighLevel’s Conversational AI frees sales professionals to focus on high-value activities that require human expertise. The platform can implement sophisticated sales cadences that combine automated touchpoints with human intervention at critical moments, creating a balanced approach that maximizes efficiency without sacrificing the personal connection. Sales teams can leverage AI sales representatives to handle routine sales tasks like product information delivery, pricing questions, and even initial negotiations. The system’s ability to learn from successful sales conversations means it continuously improves its effectiveness, refining approaches based on what works. For complex products, the AI can implement guided selling experiences that walk customers through product selection based on their specific needs and preferences. Companies utilizing artificial intelligence in sales have reported 50% higher lead conversion rates and 60% cost reductions according to Harvard Business Review research, demonstrating the transformative potential of this technology when properly integrated with GoHighLevel’s existing sales tools.

Creating Personalized Customer Journeys with Conversational AI

Personalization has become a competitive differentiator in today’s market, and GoHighLevel’s Conversational AI enables businesses to create tailored customer experiences at scale. The technology facilitates dynamic conversation paths that adapt based on individual customer data, preferences, and behaviors, creating unique journeys for each prospect. By leveraging data from GoHighLevel’s CRM, the conversational system can reference past purchases, support history, and engagement patterns to deliver highly relevant communications. This level of personalization extends beyond simply addressing customers by name – it involves recommending specific products, referencing relevant past interactions, and anticipating needs based on behavioral patterns. The platform’s ability to segment audiences and deliver customized conversation flows for each segment ensures that messaging resonates with specific customer groups. For businesses with physical locations, integration with AI appointment booking bots creates seamless transitions between online interactions and in-person experiences. The system can also implement personalized follow-up sequences after purchases or service interactions, strengthening customer relationships through continued engagement. Research consistently shows that personalized experiences drive better business outcomes, with McKinsey reporting that companies that excel at personalization generate 40% more revenue from those activities than average players, making this application of Conversational AI a high-value addition to the GoHighLevel toolkit.

Integrating Voice AI with GoHighLevel for Omnichannel Excellence

Voice represents a critical channel in comprehensive communication strategies, and GoHighLevel’s Conversational AI capabilities now extend to voice interactions, creating truly omnichannel experiences. By implementing AI voice agents that seamlessly connect with GoHighLevel’s existing tools, businesses can maintain conversation continuity across text and voice channels. This voice integration enables automated phone interactions for appointment setting, customer service, and even sales conversations. The technology leverages advanced text-to-speech and speech recognition capabilities to create natural-sounding voice interactions that represent your brand appropriately. For businesses seeking to implement professional voice solutions, white label AI voice agents can be integrated with GoHighLevel to maintain consistent branding across all communication channels. The platform’s voice capabilities include intelligent call routing based on customer data, automated follow-up calls triggered by specific events, and voice-based authentication for secure transactions. Particularly valuable for service businesses is the AI receptionist functionality that can manage incoming calls, schedule appointments, and answer common questions without human intervention. Voice integration also creates accessibility advantages, accommodating customers who prefer phone communications or have limitations that make text interactions challenging. This omnichannel approach aligns with modern consumer expectations, as research from Aberdeen Group indicates that companies with strong omnichannel customer engagement retain an average of 89% of their customers, compared to 33% for companies with weak omnichannel strategies.

Analytics and Performance Tracking for Conversational AI in GoHighLevel

The effectiveness of Conversational AI implementations within GoHighLevel can be measured through comprehensive analytics tools that provide insights into performance and opportunities for optimization. The platform offers conversation analytics that track key metrics like completion rates, sentiment trends, and common drop-off points in AI conversations. These insights help businesses identify areas where the conversational flow might be improved or where additional conversation branches might be needed. GoHighLevel’s dashboard integration allows for monitoring conversion rates from AI conversations, measuring how effectively your automated interactions translate to business outcomes like appointments, sales, or lead qualification. The system’s intent analysis feature identifies common customer queries and intents, helping businesses understand what information customers are seeking most frequently. For voice interactions, call center voice AI analytics provide metrics on call duration, resolution rates, and escalation patterns. The platform also enables A/B testing of different conversation approaches, allowing businesses to optimize scripts and response patterns based on performance data. Integration with GoHighLevel’s attribution tools helps connect conversational AI interactions with broader customer journeys, understanding how these automated touchpoints influence overall conversion paths. According to Accenture, 91% of consumers are more likely to shop with brands that provide relevant offers and recommendations, making these analytics capabilities crucial for refining your AI conversation strategies to maximize relevance and effectiveness.

GoHighLevel Conversational AI for Specific Industries

While Conversational AI in GoHighLevel offers universal benefits, its applications can be tailored for specific industries to address unique challenges and opportunities. In the healthcare sector, conversational AI can manage appointment scheduling, prescription refill requests, and initial symptom screening while maintaining HIPAA compliance. For real estate professionals, the technology can qualify property inquiries, schedule viewings, and provide initial property information, functioning as an AI calling agent for real estate. Financial services organizations leverage conversational AI for preliminary loan qualification, financial product education, and routine account services. Retail businesses implement the technology for product recommendations, inventory checks, and order status updates. The hospitality industry utilizes these capabilities for reservation management, amenity information, and guest service requests. For professional services firms, conversational AI handles initial client intake, appointment scheduling, and basic service inquiries. Educational institutions employ the technology for enrollment information, course registration, and student service inquiries. Each industry application requires specific configuration of GoHighLevel’s conversational tools, including industry-specific vocabulary, compliance considerations, and unique conversation flows. For those in healthcare specifically, solutions like AI calling bot for health clinics provide specialized implementations that address the sector’s unique needs. According to Salesforce research, 84% of customers say being treated like a person, not a number, is very important to winning their business – industry-specific conversational implementations help achieve this personalization at scale.

Compliance and Ethical Considerations in Conversational AI

Implementing Conversational AI through GoHighLevel requires careful attention to compliance and ethical considerations to protect both businesses and customers. Data privacy regulations like GDPR, CCPA, and other regional frameworks establish requirements for how customer data collected during AI conversations can be stored, processed, and used. GoHighLevel provides compliance tools to help businesses meet these obligations, including consent management, data retention controls, and privacy notice integration. Beyond legal requirements, ethical implementation involves transparency about AI use – customers should understand when they’re interacting with an automated system rather than a human agent. The platform enables custom disclosures at the beginning of conversations to maintain this transparency. Accessibility considerations are also important, ensuring that conversational interfaces accommodate users with disabilities through multiple interaction methods. Bias prevention represents another critical ethical dimension, requiring regular auditing of AI conversations to identify and eliminate potential biases in responses or decision-making processes. For businesses handling sensitive information, GoHighLevel’s security features help protect customer data with encryption and access controls. When implementing voice capabilities through services like artificial intelligence phone number integrations, additional compliance requirements for call recording and telecommunications regulations may apply. According to PwC research, 85% of consumers will not do business with a company if they have concerns about its security practices, making these compliance and ethical considerations business imperatives rather than optional considerations.

Cost-Benefit Analysis of Implementing Conversational AI in GoHighLevel

Businesses considering Conversational AI implementation in GoHighLevel should conduct a thorough cost-benefit analysis to understand the potential return on investment. The initial implementation costs include GoHighLevel subscription fees, possible add-ons for advanced AI capabilities, configuration time for setting up conversation flows, and potential integration expenses for connecting with existing systems. Ongoing costs typically involve platform maintenance, conversation optimization, and possibly usage-based charges for high-volume implementations. These investments should be weighed against quantifiable benefits like reduced staffing needs for routine interactions (typically 30-40% for customer service functions), increased conversion rates (averaging 25-35% improvement for optimized conversational flows), extended service hours without proportional cost increases, and improved data collection for marketing insights. Businesses implementing AI call centers through GoHighLevel often report break-even periods of 6-12 months, with accelerating returns as the AI system improves through continued learning. Less quantifiable but equally important benefits include improved customer experience, faster response times, and consistent service quality. The analysis should also consider opportunity costs – what business might be lost to competitors who implement similar technologies sooner. For smaller businesses, solutions like starting an AI calling agency can provide a more gradual entry point with lower initial costs. According to Juniper Research, chatbots will save businesses $8 billion annually by 2022, with similar savings projected for voice AI implementations, making the economic case for Conversational AI in GoHighLevel compelling for most businesses.

Overcoming Common Challenges in Conversational AI Implementation

Despite its benefits, implementing Conversational AI in GoHighLevel comes with challenges that businesses must address for successful deployment. Conversation design complexity represents a common hurdle, as creating natural-flowing conversations that handle exceptions gracefully requires specialized skills. Working with prompt engineering experts can help overcome this challenge. Many businesses struggle with managing customer expectations, as users may initially expect human-like perfection from AI systems. This can be addressed through appropriate expectation setting and clear escalation paths to human agents when needed. Technical integration challenges may arise when connecting Conversational AI with existing systems like CRMs or knowledge bases, requiring careful planning and possibly custom development work. Some businesses encounter internal resistance from teams concerned about job displacement; successful implementations focus on how AI handles routine tasks while enabling human employees to focus on higher-value activities. For multilingual businesses, language support limitations may present challenges that can be addressed through specialized voice synthesis technologies. Continuous improvement represents another challenge, as conversational systems require ongoing monitoring and refinement based on actual user interactions. Companies implementing voice capabilities often face additional challenges with voice recognition accuracy that may require solutions like specialized voice AI services. Despite these challenges, research from Cognizant suggests that 94% of businesses that implement conversational AI report substantial business benefits, indicating that while implementation has its challenges, the potential rewards justify the effort for most organizations.

Future Trends in Conversational AI for GoHighLevel Users

The landscape of Conversational AI is rapidly evolving, with several emerging trends poised to impact GoHighLevel users in the coming years. Multimodal conversational interfaces that combine text, voice, and visual elements will create richer interaction experiences, allowing businesses to communicate with customers through their preferred channels with seamless transitions between modes. Emotion AI capabilities will advance to recognize and respond to customer emotional states more accurately, enabling more empathetic automated interactions. The integration of augmented reality with conversational interfaces will allow for innovative applications like virtual product demonstrations guided by conversational AI. For GoHighLevel users, AI phone consultants will become increasingly sophisticated in their ability to handle complex sales and service scenarios. Hyper-personalization will advance beyond current capabilities, with systems drawing on broader data sets to create truly individualized experiences. Voice technology will continue to evolve, with more natural-sounding voices and better understanding of nuanced speech patterns. The development of specialized industry solutions like AI bots for specific business functions will accelerate, providing GoHighLevel users with more targeted options for their specific needs. Open AI ecosystems will allow for easier integration of specialized AI capabilities with platforms like GoHighLevel. According to Gartner, by 2025, 50% of knowledge workers will use a virtual assistant on a daily basis, up from 2% in 2019, indicating the growing importance of these technologies in business operations and customer engagement strategies.

Case Studies: Success Stories with GoHighLevel Conversational AI

Real-world implementations demonstrate the transformative potential of Conversational AI within the GoHighLevel ecosystem. A mid-sized real estate agency implemented conversational AI for lead qualification and property matching, resulting in a 67% increase in qualified showings and 42% reduction in agent time spent on initial inquiries. Their success stemmed from creating natural conversation flows that effectively qualified buyer needs while providing immediate property suggestions based on preferences. A healthcare provider network leveraged AI appointment scheduling through GoHighLevel, reducing no-show rates by 35% through automated reminders and easy rescheduling options, while simultaneously decreasing staff time devoted to appointment management by over 60%. An e-commerce business implemented conversational product recommendations, achieving a 28% increase in average order value by guiding customers through personalized product discovery conversations that surfaced complementary items and premium options. A professional services firm used AI call assistants integrated with GoHighLevel to handle initial client intake, improving lead conversion by 45% through immediate response at any hour and consistent qualification processes. A multi-location dental practice implemented an AI receptionist for appointment scheduling and insurance verification, reporting annual savings of $120,000 in staffing costs while maintaining 24/7 booking availability. These case studies demonstrate that successful implementations share common elements: clear business objectives, thoughtfully designed conversation flows, integration with existing systems, and continuous optimization based on performance data. The diversity of these success stories highlights the versatility of Conversational AI within the GoHighLevel platform.

Training Teams to Work Alongside Conversational AI

The successful implementation of Conversational AI in GoHighLevel requires thoughtful preparation of human teams who will work in tandem with these automated systems. Effective change management approaches begin with clear communication about how AI will augment rather than replace human roles, focusing on how automation of routine tasks creates opportunities for employees to engage in more valuable and satisfying work. Training programs should include technical components covering how to monitor AI conversations, when to intervene in automated interactions, and how to refine conversation flows based on observed performance. Equally important is training on the "human + AI" workflow, establishing clear handoff protocols between automated systems and human agents. This includes recognizing signals that indicate when a conversation should be escalated to human intervention and how to access conversation history for seamless transitions. For sales teams implementing AI for sales workflows, specialized training on how to leverage AI-generated insights and follow up on AI-qualified leads can maximize effectiveness. Customer service teams benefit from training focused on handling complex issues escalated from AI systems, ensuring they can add value beyond what automation provides. Leadership training should emphasize how to interpret AI analytics and make strategic decisions based on conversation data. Organizations that invest in comprehensive training report 80% higher satisfaction with AI implementations according to Deloitte research, making this human element a critical factor in realizing the full potential of Conversational AI within the GoHighLevel ecosystem.

White Labeling and Reseller Opportunities with GoHighLevel Conversational AI

For agencies and service providers, GoHighLevel’s Conversational AI capabilities present attractive white labeling and reseller opportunities to expand service offerings and create new revenue streams. The platform enables branded conversation experiences where agencies can customize the conversational interface with client branding elements, creating seamless extensions of their clients’ existing digital presence. This white-label approach allows agencies to offer sophisticated AI communication solutions without developing proprietary technology. The reseller AI caller programs compatible with GoHighLevel provide agencies with flexible commission structures and multitenant management tools that simplify client administration. For agencies new to AI offerings, specialized solutions like Vapi AI whitelabel or SynthFlow AI whitelabel provide entry points with comprehensive support and documentation. Pricing models for resellers typically include markup opportunities on both implementation services and ongoing subscription fees, creating both immediate and recurring revenue opportunities. Agencies can leverage conversation templates and industry-specific solutions to accelerate implementation for clients, improving project profitability while delivering faster results. The AI bot white label opportunities enable creation of specialized solutions for particular industries or use cases, allowing agencies to develop valuable intellectual property and differentiated offerings. According to HubSpot research, 82% of service businesses report that specialized offerings like conversational AI increase customer retention rates, making these capabilities valuable additions to agency service portfolios and creating sustainable competitive advantages in increasingly crowded agency marketplaces.

Best Practices for Optimizing Conversational AI Performance

To maximize the effectiveness of Conversational AI within GoHighLevel, businesses should follow established best practices for implementation and ongoing optimization. Start with clear conversation objectives that define what success looks like for each automated interaction type, whether it’s appointment booking, lead qualification, or customer support. Develop natural-sounding conversation scripts that reflect your brand voice while maintaining efficiency – overly verbose or stilted language reduces effectiveness. Implement context preservation across conversation sessions so returning customers don’t have to repeat information, creating more satisfying experiences. Design thoughtful fallback responses for when the AI doesn’t understand user input, guiding customers toward successful interactions rather than dead ends. For voice implementations, work with voice synthesis specialists to create natural, brand-appropriate voices that enhance rather than detract from the experience. Regularly analyze conversation logs to identify common failure points or customer frustrations, using these insights to refine conversation flows. Implement A/B testing of different conversation approaches to identify the most effective patterns and continuously improve performance. Create seamless escalation paths to human agents for complex situations, maintaining conversation context during these transitions. Regularly update your knowledge base to ensure the AI has access to current information about products, services, and policies. For businesses implementing AI voice conversations, additional optimizations may be needed to account for voice-specific challenges like background noise or accents. According to Forrester, companies that regularly optimize their conversational interfaces see 2.5x higher customer satisfaction scores than those with static implementations, making this ongoing refinement essential to long-term success.

Your Journey to AI-Powered Communications Excellence

Embarking on the Conversational AI journey with GoHighLevel represents a strategic investment in your business’s communication capabilities and customer experience. As we’ve explored throughout this article, the integration of intelligent conversational systems with GoHighLevel’s marketing automation platform creates powerful opportunities across sales, marketing, customer service, and operations. To begin your implementation, start with a focused use case that addresses a specific business challenge, allowing your team to gain experience with the technology before expanding to broader applications. Take advantage of resources like AI caller setup guides to accelerate your implementation process and avoid common pitfalls. Remember that successful implementations balance technology capabilities with human oversight, creating systems that leverage the strengths of both automated intelligence and human expertise. As you progress, regularly measure results against established KPIs to validate your approach and identify optimization opportunities. The field of Conversational AI continues to evolve rapidly, so maintaining flexibility to incorporate new capabilities will maximize your long-term return on investment.

Transform Your Business Communications with Callin.io

If you’re ready to elevate your business communications with cutting-edge AI technology, Callin.io offers an ideal solution for implementing conversational AI with GoHighLevel. Our platform enables you to deploy sophisticated AI phone agents that can handle incoming and outgoing calls autonomously, creating seamless customer experiences while reducing operational demands. With Callin.io’s technology, your business can automate appointment scheduling, answer common questions, and even close sales through natural-sounding voice conversations that represent your brand perfectly. The intuitive interface makes configuration straightforward even for teams without technical expertise.

The free account on Callin.io provides an accessible starting point, including trial calls and access to the comprehensive task dashboard for monitoring AI interactions. For businesses requiring advanced capabilities such as Google Calendar integration and built-in CRM functionality, subscription plans starting at $30 per month deliver enterprise-grade features at affordable price points. Experience the future of business communications by visiting Callin.io today and discovering how conversational AI can transform your customer engagement strategy within the GoHighLevel ecosystem.