Whether you’re buying phone calls, selling phone calls, or managing the phone call marketplace as an affiliate network, you can do it much more effectively with AI call agents, a technology that is revolutionizing call generation and acquisition right as you read this.
Built on top of a standard IVR system – with Phonexa, you can add AI Call Agents as a block within your IVR without having to change your call flows – AI call agents ensure an unprecedented level of personalization. UX is absolutely human-like, as if your best live operator is handling the call, with no drawbacks. Some calls are handled on the spot, while the rest are connected to the highest-paying business or a relevant sales or customer support rep.
“With phone calls, you’re typically trying to generate a customer that is further down the sales cycle than potentially just a web lead that’s put their data on a website, and you may or may not contact them.” – David Pickard, CEO, Phonexa, during the Unlocking Affiliate Sales with Call Leads, Email & SMS Marketing chat
But then again, not all AI call agents are built effectively. While many software providers have rushed to offer AI call agents, some are still underdeveloped, others lack essential features, and still others struggle with niche-specific conversations they’re supposed to handle.
Read also: How To Grow ROI on Sales Calls with AI Call Agents
So if you’re searching for AI call agents that actually work, you’ve landed just right. Below is a list of 26 best AI call agents you can find on the market – all of them are working solutions that you can implement right now as integrations or standalone call processing software.
Important: As helpful as AI call agents are, it’s crucial to have a live operator ready to handle calls that require a human touch. Such a fallback option is a must for almost all business models, so under no circumstances are AI call agents a full replacement for your customer support or sales representatives.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 966.25 K | 150.99% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 41.42% | 28.54% | 6.50% | 11.67% | 0.03% | 11.70% | 0.13% | ||
Phonexa is a performance marketing platform that unifies call tracking and routing, lead tracking and distribution, compliance, and marketing analytics within one powerful ecosystem. The platform gives marketers unmatched clarity, control, and efficiency across every customer acquisition channel.
As for Phonexa’s AI Call Agents, this additional plug-in includes all essential tracking and analytics features, along with a wide range of conversational capabilities, enabling you to handle the most complex calls in real time without involving a human operator.
One of the best things about Phonexa is that you don’t even have to change your call flows to integrate AI Call Agents – instead, you can simply add them as a block within your existing IVR. On top of that, you can leverage iClear, an additional plug-in that enhances lead verification, improves compliance, streamlines workflows, and fuels intelligent growth, to get granular insights into inbound phone calls (or the phone calls you sell or manage).
Phonexa’s AI Call Agents handle conversations at the level of a human operator, delivering contextualized responses based on historical insights from similar calls, call scripts, and real-time conversational analytics. For better performance, you can train AI Call Agents on industry-specific data and set guardrails, such as defining the scope of focused conversations.
On top of cutting-edge AI Call Agents, Phonexa offers predictive modeling, a technology that can analyze accumulated data to generate marketing forecasts, such as which campaigns and variables are more likely to succeed and which are too risky to implement.
Predictive modeling software is an AI algorithm that can analyze marketing inputs, such as the type and timing of the campaign, along with historical insights to produce data-driven simulations.
Read also: Predictive Call Analytics: Unlock Data for Better Business Decisions
So you just have to configure the campaign – platform, ads, audience, display time, etc. – running as many different simulations as you need to produce the expected outcome. Then you can A/B test the winning campaigns in the real market to minimize risk.
Get started with Phonexa now to craft your perfect solution for higher ROI.
AI call agent vendors are actually companies that build the software, not just provide it to a business. They develop and license the technology that other, usually smaller companies can use to create their own AI call agents, and then become providers.
Long story short, the software that AI call agent vendors offer is usually a foundational infrastructure you can use “as is” or build your own product on top of. The vendor names speak for themselves: Google, Amazon, Twilio, and so on. These time-tested industries can create new software from scratch, which hundreds of providers then tweak for specific industries and business cases.
Google Conversational Agents is a core call agent technology that uses generative language models to manage conversations in a human-like manner, with full control over conversation flows.
You can integrate Conversational Agents into any device, mobile and web application, IVR, and almost any other existing business solution that can handle over-the-phone conversations. Likewise, Conversational Agents can analyze conversations in real-time, both text and audio, and issue contextualized responses through speech or text.
Important: Google Conversational Agents are an underlying technology for many AI call agents on the market, so you might want to study them thoroughly even if you’re using some other tech. Knowing what Google Conversational Agents can do, as well as their limits, can help find the best application for your business without overcommitting.
When designing conversation flows, you can decide on the degree of freedom you’d like to provide to Conversational Agents by choosing the language model behind: fully generative, partly generative, or deterministic responses, each of which is viable under specific scenarios.
| Fully Generative | Fully generative conversational flows use Vertex AI language models, enabling fully contextualized responses without any deterministic component. In other words, Conversational Agents base their responses solely on real-time interactions, so every conversation looks different.How to create: Provide natural-language instruction and structured data within a Playbook, the basic building block for generative agents. On top of that, you can use Data stores to parse and analyze your website, documents, and other public and private content. |
| Partly Generative | Partly generative conversational flows combine some level of deterministic control over conversations with the leeway you provide the AI agent so that it can contextualize responses for better UX.How to create: You can design a partly generative conversation flow using Generators and Generative fallback, which is used for issuing responses in cases when the caller’s input doesn’t match the expected intention. |
| Fully Deterministic | It’s worth noting that fully deterministic conversational flows are truly deterministic once the conversational agent identifies the intent of the conversation. Before that, the conversation may not be deterministic, as it varies based on the caller’s data and responses.Once the intent is identified, you can predict the flow with 100% probability, just as if you’re using a standard IVR. Fully deterministic conversation flows reduce risk and may be optimal for conversations where you need full control, compliance, and predictability, such as in banking, healthcare, insurance, and finance.How to create: You can design fully deterministic conversational flows using the Flows feature. |
Conceptually, Google Conversation Flows are similar to ChatGPT, except that the logic isn’t necessarily deterministic – you can choose the degree of freedom. Conversational Agents can handle voice calls and live chats and be integrated with your CRM, IVR, or ticketing system.
Amazon Connect is an AI-based cloud call center that can support a full spectrum of customer services, from direct phone calls to chat interactions and timely transfers to live operators. As a client with Amazon Connect, you get it all in one package, all under one AWS-based roof.
Here are some features of Amazon Connect:
Amazon Connect is a solid choice for businesses willing to put lead and phone call processing on AI rails. For some requests, like a card upgrade, AI can solve them on the spot in a chat, while others may be escalated to a sales or customer support rep.
Overall, Amazon Connect enables you to build a lead management infrastructure tailored to your specific industry, audience, campaign goals, and technical capabilities. Even for chats and phone calls transferred to a live agent, the agent receives recommended responses based on real-time customer behavior and historical insights.
Here’s an example of a customer call flow you can build with Amazon Connect:
For supervisors and administrators, Amazon Connect enables a comprehensive lead and phone call management infrastructure, where you can review all the details about the customer in question, from the traffic channel to the initiation method (inbound or outbound contact) to the agent that handled the lead, and, for bounced calls, the reason why a specific call was disconnected.
Likewise, you can use Amazon Connect AI to evaluate and improve the performance of your sales reps, like whether they greeted the customer properly, what was the longest time the customer was put on hold, and anything else you’d like to track on the agent side.
Azure AI Language and Azure AI Speech are the Microsoft technologies you can use to create AI call agents, voice chatbots, and conduct post-call analytics alongside features like real-time conversation transcription and suggestions to live operators. From call qualification to engagement to quality assurance to compliance controls, Azure AI tech is among the strongest in the market.
Among the features of Azure AI call agents are real-time speech-to-text, batch speech-to-text, text-to-speech, speaker identification, and language identification. Likewise, you can train your AI call agents to recognize specific entities like license plates, contract IDs, and other industry-specific data you might be interested in when processing inbound phone calls and web leads. On top of that, you can create a branded voice for your applications.
Here’s a guide on Azure telephony integration.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 2,501.5 K | -13.27% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 67.63% | 17.37% | 6.76% | 2.97% | 0.06% | 5.06% | 0.16% | ||
Just like any other AI call agent technology on our list, Five9 Intelligent Virtual Agents (IVA) deliver engaging conversational experiences for customers across voice and digital channels. On top of that, Five9 IVA allows you to augment voice interactions with visual content, providing a more user-friendly service and self-service options.
Here are some notable features of Five9 IVA:
Among the main use cases for Five9 call agents are scheduling appointments, processing card payments, resetting passwords, answering FAQs, and checking order status. For more use cases, there’s a dedicated IVA solution guide.
To kick things off with Five9 IVA smoothly and without overcommitting, you can start slow, like by developing an FAQ chatbot or a simple virtual agent. Then, after testing it for a while and gathering valuable feedback, you can build mixed-initiative virtual agents using basic keyword spotting. As a final step, you can implement Five9 IVA across all touchpoints, including voice interaction and other digital experiences that can be reinforced with NLP.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 450.8 K | -8.64% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 40.79% | 39.14% | 7.54% | 1.86% | 0.27% | 10.00% | 0.40% | ||
With Genesys, you can build conversational agents for multiple marketing channels within an intuitive visual environment that doesn’t require profound technical knowledge. In practice, you use their no-code platform in your contact center to build bots that leverage both real-time data and past conversations to deliver the best user experience via voice and text.
Here’s an example of how Genesys AI works:
A customer visits a bank website to inquire about their account balance. The chatbot authenticates the customer and displays the customer’s account balance. Should the customer want to top up their balance, the bot can help them do it without connecting them to a live operator. If, however, the customer prefers a voice channel, a voice bot can be integrated into the conversation, or the customer can be transferred to an agent.
Here’s what an interface for building a voice bot looks like:
For voice conversations, you can add features like prompts, barge-ins, and timeouts, as well as the ability to transfer the conversation to a human agent whenever necessary or upon the user’s request. For better performance, you can train bots on various utterances within a natural language understanding (NLU) training interface and build bot trainers on top of existing bots.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 4,504.7 K | 14.90% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 48.12% | 33.81% | 10.18% | 1.37% | 0.12% | 6.13% | 0.27% | ||
Twilio Voice, powered by the Twilio Conversation Relay technology, enables two-way voice interactions with customers and offers a whole lot of customization options on top. Depending on the type of campaign, you can add features such as speech recognition, IVR, or voice recording, and tap into conversational intelligence insights to continuously improve your call flows.
Here are some statistics across companies that have implemented Twilio Voice:
Twilio Voice supports both inbound and outbound phone calls, enabling branded calls to increase response rates and preventing robocalls through verification signals. Likewise, you can track your phone number’s reputation with the Voice Integrity feature.
With OpenAI being the most well-known generative AI technology by far, you can use their API and Agents SDK to build voice agents for a wide range of tasks, from simple customer support to flexible, open-ended conversations – just like ones you can conduct with ChatGPT.
The process of building an AI voice agent with OpenAI is quite simple:
You can use either a pre-determined chained architecture to create structured, predictable workflows with full control and high transparency, or you can use a more advanced speech-to-speech architecture that issues responses based on the caller’s input, including intent and emotion.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 76.3 K | -42.36% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 34.17% | 49.15% | 4.17% | 2.58% | 0.16% | 9.51% | 0.27% | ||
Replicant is a dedicated call agent platform that has amassed over 1 billion minutes of automated conversational experiences through industry leaders like Fanatics, Steve Madden, Loves, Sunrun, Transit, and other companies.
One of their strongest selling points is that their AI agents are based on the real performance of your top-tier agents that resolve customer requests, not just generic conversations. For example, with Sunrun, Replicant’s AI agents solved 50% of inquiries; Fanatics employs over 200 AI agents simultaneously; and ECSI can boast a 90% satisfaction rate with AI agents.
Here’s what implementing AI agents with Replicant looks like:
The company identifies your most essential automation opportunities based on previous conversations and builds AI agents within your business logic. After that, they simulate conversations to test quality and ensure compliance. Finally, there’s some A/B testing, and then AI agents go live, able to self-learn and improve over time, and they accumulate data.
Among other things, Replicant’s AI-driven quality assurance enables you to automatically compare AI and human agents using metrics such as average handle time (AHT), customer satisfaction (CSAT), and first-call resolution (FCR). And you can set up AI guardrails to ensure your AI agents stick to reasonable lines of conversation, use a branded tone, and do not hallucinate.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 200.3 K | -62.47% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 44.10% | 45.49% | 4.73% | 4.42% | 0.04% | 1.01% | 0.20% | ||
PolyAI is an omnichannel voice platform that allows you to create AI agents and train them on industry-specific knowledge bases for optimal request resolution and more effective first-party customer data collection.
PolyAI’s agents seamlessly integrate into your CRM tools, contact center, or data platform, including AWS, Salesforce, Verizon, Zendesk, and more. The tech stack includes features for call authentication, independent request resolution, reservation management, and data-driven call routing when a call should be transferred to a third-party business or an internal agent.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 218.7 K | 59.95% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 37.61% | 40.30% | 7.83% | 8.01% | 0.14% | 5.75% | 0.36% | ||
Synthflow is one of the simplest AI call-agent builders for healthcare, mortgage, recruitment, and car dealerships, and you can customize it for almost any industry. Among the main use cases, in addition to 24/7 call handling, are automated voice support, appointment setting, IVR, and integration with WhatsApp for automated business calls.
With Synthflow, you get a comprehensive Voice AI Operating System that you can customize without writing a single line of code. The infrastructure supports multiple phone call subflows, low-latency telephone, and carrier-grade reliability, all while integrating into your existing setup.
Safety-wise, you can preview, test, and compare call flows, and you can track every AI call agent and roll it back if something doesn’t work. Synthflow provides real-time call flow monitoring and data-driven fine-tuning, including self-evolving AI call workflows.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 740.2 K | 7.06% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 56.59% | 24.84% | 4.04% | 1.24% | 0.16% | 12.84% | 0.30% | ||
JustCall is a dedicated AI call agent platform that offers everything you might expect from an automated phone call infrastructure, from lead qualification and routing to appointment booking to call processing. For beginners, you can create your first call agents in just 30 seconds, an unprecedented speed and convenience given the complex technology behind it.
Here are some features of JustCall AI Voice Agents:
With JustCall, all your leads stay engaged at all times, retaining their full conversion potential. Among use cases presented on their website are solar panel lead qualification, roof inspection booking, identifying the customer’s insurance needs, and more – check it out to see how their AI call agents work in real conversations.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 240.7 K | -35.23% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 50.33% | 36.27% | 4.22% | 7.45% | 0.10% | 1.42% | 0.21% | ||
Bland is an artificial intelligence platform that provides voice, SMS, and chat AI solutions, customizable to your customers’ needs and preferences at every stage of the sales funnel.
Multi-regional and multi-lingual, Bland is a great choice for global marketing campaigns, with the capacity to handle up to 1 million calls simultaneously and analyze each call in depth, from sentiment analysis to comprehensive call scoring.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 34.6 K | 8993.04% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 41.96% | 43.90% | 7.09% | 5.69% | 0.20% | 0.71% | 0.45% | ||
Autocalls is a fully compliant AI call intelligence platform that automates inbound and outbound phone calls and supports over 100 languages and 300 integrations. With Autocalls, you can automate appointments, bookings, reminders, customer support, as well as you can do cold calls, pre-qualify leads, send voice follow-ups, and more.
Among the focus industries are healthcare, real estate, legal, ecommerce, car dealership, debt collection, and even restaurants. That said, Autocalls’ AI voice agents can be successfully integrated into any call center in less than 24 hours, all white-labeled and supported by a team of experts.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 678.5 K | 407.21% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 50.52% | 36.97% | 6.31% | 4.62% | 0.14% | 1.20% | 0.25% | ||
Retell AI is an artificial intelligence platform where you can create, test, and deploy advanced AI call agents for lead qualification, customer service, lead qualification, surveys, appointments, and other marketing and sales routines your call center handles. Industry-wise, among the target markets are insurance, healthcare, finance, logistics, home services, retail, and travel.
In addition to surface-level conversational insights, such as call duration and outcome, Retell AI can also track metrics like sentiment and latency. Overall, unlimited scalability, SOC 2 & HIPAA compliance, and a no-code AI agent builder make Retell AI one of the best solutions for call-reliant businesses looking to automate their lead generation and acquisition campaigns across markets.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 65.9 K | 162.02% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 47.39% | 21.32% | 6.11% | 3.72% | 0.07% | 21.13% | 0.26% | ||
Goodcall is a no-code AI call agent builder that helps you build an infrastructure to generate, qualify, nurture, and convert leads, tailored to the specifics of your business. With Goodcall, you can create your first AI call agent in minutes by dragging and dropping call logic and setting up the agent’s workflow, capabilities, and behavior.
Speaking of logic behind Goodcall’s agents, you can choose from pre-set groups: greetings, appointments, orders, maintenance, pricing, and more. Likewise, by integrating Goodcall with your CRM system, you can personalize calls even further, for example, by greeting returning customers by name and providing experiences tailored to their history.
Like you might expect, Goodcall’s call agents become your first line of support, accepting all inbound calls by default and only escalating calls to operators when necessary. However, you can also use AI call agents as overflow support, only giving them calls when all your agents are busy or when calls are made out of business hours.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 904.4 K | 630.38% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 43.15% | 40.79% | 6.02% | 7.82% | 0.11% | 1.78% | 0.33% | ||
Lindy’s Gaia is one of the fastest AI call agents on the market, boasting a 1,800 ms response time compared to the 2,900 ms average across other solutions, which may come in handy in a competitive market and other scenarios where response speed is a priority.
Among the major use cases are customer support and receptionist, allowing you to resolve simpler phone calls, collect customer feedback, and schedule appointments, all while screening inbound calls through and through to gain actionable insights into callers. The software is SOC 2 and GDPR-compliant, so you can use it for international lead gen and acquisition campaigns.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 4.6 K | -70.15% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 32.85% | 59.64% | 4.39% | 2.81% | 0.03% | 0.03% | 0.26% | ||
Calldesk is an AI call agent development platform for large-scale companies that want to automate calls, improve UX, ensure 24/7 availability, and leverage enterprise-grade AI. It’s worth noting that, even though the design process itself is no-code, it may still take about 30 days for your AI call agents to be fully operational.
Here’s what you need to implement Calldesk’s AI call agents:
From there on, you can evaluate the call agent’s performance and expand.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 441.1 K | 86.48% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 40.07% | 40.69% | 4.46% | 2.97% | 0.09% | 11.34% | 0.37% | ||
Telnyx is a platform that allows you to quickly build AI agents to handle phone calls within your customer telephony logic. The agents deliver near-instant responses and can be integrated into your call center in just a few clicks.
One of the standout features is that with Telnyx, you can build call logic that transfers calls between AI agents rather than directly to a live operator, reducing workload, eliminating call queues, and eventually leading to higher CSAT and conversion rates.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 1,280.5 K | 88.85% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 52.22% | 33.99% | 4.99% | 3.37% | 0.07% | 5.08% | 0.27% | ||
Unlike most no-code call agent builders on our list, Vapi is a more complex platform designed specifically for software developers who want to create AI call agents with granular customization and flexibility. As a result, you can get agents that respond with ultra-low latency of under 500 ms and can be trained for custom pronunciation, among other things.
To speed up agent creation, you can use over 200 template models, or you can connect your own model for maximum customization. Design-wise, you give your agent context, integrate your business data, test the agent to prevent hallucinations, and then you’re good to go.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 23,494.6 K | 61.52% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 52.64% | 35.36% | 2.06% | 4.96% | 0.04% | 4.86% | 0.09% | ||
ElevenLabs is an AI platform focused on the quality of voice interactions, offering industry-leading voice agents that can handle a wide variety of tasks, from inbound phone calls to voiceovers to podcasts to audiobooks.
As far as lead generation goes, ElevenLabs’ conversational agents can do everything you need to solve simpler requests on the spot while warm-transferring the rest to a matching operator. For inbound phone calls, AI agents ask the right questions at the right time to capture valuable information and verify on the fly; for outbound phone calls, AI agents ensure there are no call delays, reaching all top prospects while they are purchase-ready.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 838.9 K | -37.13% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 29.00% | 56.51% | 3.58% | 2.33% | 0.04% | 8.34% | 0.20% | ||
Deepgram is a multi-level AI agent infrastructure that unites crucial technologies under one API, so you can build cloud-based, self-hosted, or hybrid AI agents in one place to handle voice and textual conversations across channels.
With Deepgram, you can effectively coordinate AI agents, virtual assistants, and voicebots into a single leadgen system that covers it all through and through with a single API.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 3.9 K | 26.47% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 46.61% | 40.86% | 5.67% | 6.27% | 0.05% | 0.00% | 0.55% | ||
Outbound AI is a healthcare-dedicated conversational AI platform that provides an infrastructure to handle routine healthcare tasks like billing, claims, or payments. Outbound AI call agents work in sync with human staff, simplifying administrative work within your workspace.
To kick things off with Outbound AI, you choose the type of software you need – for physician billing, healthcare enterprises, or solution partners – and take it from there.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 191.0 K | -31.87% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 44.55% | 45.04% | 5.24% | 2.13% | 0.14% | 2.56% | 0.34% | ||
Verint is a comprehensive AI platform for call centers that offers customer service, business analytics, workforce engagement, and agent copilot AI solutions, including virtual assistants that handle customer requests on the spot without connecting them to a live operator.
Here are some successful applications of Verint:
Among the target industries are insurance, banking, retail, public sector, and telecommunications.
SoundHound AI’s Amelia 7.0 is a comprehensive AI voice platform for large businesses, providing state-of-the-art AI call agents that use advanced reasoning to handle nuanced conversations. From talking to texting to autonomous request resolution, Amelia can do everything a human agent can, while being available 24/7 and not limited by capacity.
➥ 59% of calls handled independently for Resorts World Las Vegas
Of course, Amelia can also be customized to match your branded voice, tone, and appearance, and you can set the necessary guardrails to keep conversations within reasonable limits. By industry, Amelia 7.0 works best for auto, healthcare, insurance, finance, IT, HR, customer service, retail, travel, telecommunications, and other industries.
| Overall Traffic, Q3 2025 | Traffic Dynamics, Q3 2025 vs. Q3 2024 | 2-Year Average Traffic Share by Channel | ||||||
| 75.1 K | 37.31% | Direct | Organic Search | Referral | Social Media | Paid Search | Paid Referral | |
| 36.65% | 54.87% | 5.32% | 2.77% | 0.04% | 0.02% | 0.33% | ||
Knowmax is a platform that lets you create an AI-driven knowledge hub for your marketing and sales teams and enable self-service options for customers. This way, you can significantly increase first-call resolution rates, reduce agent workload, and increase the number of transactions handled by AI.
Overall, like most other AI platforms, Knowmax offers a solution that handles simpler requests on the spot and escalates more complex requests to agents. The software works best for telecom, banking, healthcare, insurance, auto, and eCommerce industries, offering, among other things, agent training so your customer support and sales reps can deliver top-notch customer experiences.
Under the hood, AI call agents are conversational algorithms that can recognize and analyze human speech, return contextualized responses, and qualify callers to a matching external business or an internal sales or customer support operator.
A simple and effective way to think of AI Call Agents is that they are ChatGPT for business phone calls – a technology that can handle almost any type of request, be trained to handle industry-specific contexts, and self-learn.
AI call agents are the next step beyond an IVR system, which previously could process customer calls only in a predetermined way through a pre-scripted branch of options, like Press 1 for Sales, Press 2 for Customer Support, Press 3 for Billing and Payments. AI call agents add a whole new layer of quality on top of that, ensuring a sublime UX while allowing you to collect more insights into the calls without overwhelming them with repetitive or irrelevant questions.
For enterprise-level publishers and larger affiliates focused on phone calls, AI call agents can be an absolute game-changer. Through real-time analytics, AI call agents can help qualify calls most accurately to match advertisers, so you get the highest price for the call you’re selling while establishing a reputation on a reliable and high-quality phone call source.
With AI call agents, generating phone calls is easier and cheaper. AI algorithms can quickly learn from collected data and self-improve to handle different types of conversations more effectively, resulting in more conversions and sales.
No less importantly, AI call agents effectively protect you from submitting low-quality, irrelevant, and fraudulent calls to the network or wherever you direct your calls. For example, AI call agents can analyze the caller’s speech patterns and keywords and compare this data with historical data, disqualifying risky calls or flagging them for manual verification.
Book a demo with Phonexa experts to uncover the full potential of our AI Call Agents.
AI call agents are a transformative technology for companies buying phone calls, improving user experiences, and increasing the cost-effectiveness of acquisition. With AI call agents, you can process thousands of inbound phone calls daily without sacrificing quality and – most importantly – qualify and verify callers before you’ve bought them, rejecting or flagging risky calls.
Here are the main benefits of AI call agents for call acquisition:
Since AI call agents understand most aspects of the conversation – from intent to keywords – over time, they may surpass human agents in call processing quality and accuracy, at least for simpler requests such as balance checks, appointment bookings, and other transactional requests. Likewise, even for calls transferred to a sales rep – likely the majority of sales calls – AI call agents can issue real-time prompts to the agent, giving them a head start in the conversation.
In a nutshell, AI call agents improve almost every aspect of call processing while only costing a fraction of what you would spend on manual call processing. But then again, AI may not be there yet to make sales, so you still should have a knowledgeable agent at the crux of the caller journey.
At Phonexa, we’re solving one of the biggest marketing challenges affiliates, advertisers, and affiliate networks face – the need to jump through hoops and switch software products to cover their campaigns fully. With our performance marketing platform, you get two core modules: Call Logic for intelligent call tracking and routing and LMS Sync for automated lead management.
Additional plug-ins such as AI Call Agents, iClear, iClaim, and Managed Services expand the platform’s capabilities to enhance compliance, streamline workflows, and fuel intelligent growth.
“There was a study by Forester on phone calls, and they found that calls convert 30% faster than web leads, and callers spend 28% more with a 28% higher retention rate. So that’s pretty much an exponential growth number. If you’re going to go and spend a million dollars on PPC or media buying or whatever, it’s evident that you’re better off trying to spend that money to generate calls than web leads.” – David Pickard, CEO, Phonexa, during the Pioneering Pay-Per-Call Excellence webinar
In practice, this means you can synergize lead and phone call campaigns across marketing channels. For example, if an inbound call happens to be on a DNC list, you might also want to remove them from your email list. On the other hand, for bounced calls, you may re-engage them with an email follow-up, taking full advantage of free data flows between our systems.
Here are the eight proprietary solutions you get at a single price:
| LMS Sync | Lead tracking & distribution software |
| Call Logic | Call tracking & distribution software |
| E-Delivery | Email & SMS marketing software |
| Cloud PBX | Cloud phone system |
| Lynx | Click tracking software |
| Opt-Intel | Suppression list management software |
| HitMetrix | User behavior recording & analytics software |
| Books360 | Automated accounting software |
Get started now to unlock the full spectrum of benefits for call and lead generation, distribution, and analytics with Phonexa.
AI call agents can do almost everything a real live operator does, from qualifying to nurturing to converting callers. AI call agents imitate human conversations by issuing contextualized responses based on the caller’s real-time input, historical patterns, and preset data, such as how narrowly focused the conversation should be and how deep the answers should be within a particular niche.
You don’t necessarily have to authenticate callers before an AI agent processes the call because an AI agent itself can do it based on the caller’s responses. The very process of handling a call by an AI call agent costs next to nothing, so it might be best to let it collect data and authenticate and qualify the call more precisely than you would do without having access to real-time conversation data.
As a client with Phonexa, you can also use our verification software, iClear, alongside AI call agents as an additional safety layer. For example, you can compare the information the caller has entered on the form with the data they provided during the call.
As a Phonexa client, you can add AI call agents as a module within your IVR system, all without having to rework your call flows. Then you can train your AI call agents on specific industry data, establish guardrails, like the amount of leeway for conversations, and more.
You get Phonexa’s AI Call Agents for free as part of your subscription plan, and then you only pay for the features you’re using to the extent you’re using them. With our pay-as-you-go pricing model, you only spend money on what matters and only when you use it.
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