Agency
The agent presents your full range of services (SEO, PPC, social media, content, branding) in an interactive format, letting prospects self-select their areas of interest. This replaces long service pages that overwhelm visitors and ensures you capture which services each lead actually wants to discuss.
The agent asks progressively specific questions about a prospect's business stage, growth objectives, and marketing budget. It scores responses in real time, so your team only spends time on leads that match your ideal client profile. Prospects who fall outside your criteria receive a polite redirect or resource link instead.
The agent adjusts its question flow based on the type of graphic being ordered. A client requesting a full brand identity package sees questions about color palettes, typography preferences, and competitor examples, while someone ordering a single banner ad gets a faster, more focused intake. This prevents clients from wading through irrelevant fields.
The agent captures detailed project briefs through conversational prompts, asking about deliverables, creative direction, target audiences, and success metrics. This gives your business development team a complete picture before the first call, reducing the number of unqualified discovery meetings that waste billable hours.
The agent dynamically adjusts follow-up questions based on the workspace type a prospect selects. Someone interested in a private office sees questions about lease length and team headcount, while someone looking for a meeting room gets asked about session duration and AV needs. This keeps conversations relevant and concise.
The agent can activate based on scroll depth, time on page, exit intent, or specific page visits. For agencies running paid campaigns, this means catching high-intent visitors at the exact moment they are most likely to engage, rather than relying on them to self-navigate to a contact form.
The agent maps every question to a specific market research competency, such as questionnaire design, statistical significance, conjoint analysis, or ethnographic methods. Scores are broken down by competency area rather than delivered as a single number, giving managers actionable visibility into exactly where each team member excels or needs development.
The agent asks readers about the topics, formats, and depth of content they prefer before delivering the download. This first-party preference data feeds directly into your segmentation strategy, enabling more targeted email nurture sequences and future content planning.
Display advertising is not a single skill. It is a stack of interconnected competencies, from DSP configuration to creative trafficking to attribution. The agent maps this complexity by branching dynamically based on responses. A participant who correctly explains how header bidding works gets advanced questions about supply-path optimization and bid shading. Someone unfamiliar with DSP fundamentals gets routed through foundational concepts first. This produces a granular competency map rather than a single score, giving agencies detailed intelligence about where each participant actually stands across the display advertising ecosystem.
The agent presents your complete service catalog in a conversational format, letting visitors explore SEO, web design, email marketing, app development, and hosting without scrolling through static pages. This interactive discovery process keeps engagement high and helps prospects self-identify their needs.
The agent asks prospects about their online store platform, product catalog size, average order value, and current marketing stack. This gives your sales team the context they need to craft a relevant proposal. Agencies that pre-qualify leads on platform and budget close deals 35% faster because the first sales conversation starts with specifics, not discovery.
The agent evaluates each answer instantly and provides immediate feedback, keeping prospects engaged through the entire quiz flow. This real-time interaction creates a dopamine loop that drives completion rates significantly higher than static form-based quizzes. According to Demand Gen Report research, interactive content like quizzes generates 2x more conversions than passive content formats. Prospects stay engaged because they want to see their final score.
The agent can present case studies, project screenshots, and testimonials within the chat flow itself. Prospects see relevant work samples before they even speak to your team, which pre-qualifies their expectations and shortens the sales cycle significantly.
The agent dynamically adjusts its conversation flow based on the service a prospect is interested in. A visitor looking for PPC management gets different qualifying questions than someone exploring a full-stack digital transformation engagement. This ensures every lead arrives in your CRM with the context your account team needs to personalize outreach.
The agent captures monthly ad spend ranges and campaign budgets during the conversation, filtering out prospects who fall below your agency's minimum engagement threshold. This prevents your account executives from spending time on calls with businesses that are not a fit, keeping your pipeline clean and your close rate high.
The agent captures structured project details including service type, deliverable expectations, target audience, and preferred platforms. This turns a vague website inquiry into an actionable project brief your account team can work from immediately.
The agent can walk prospects through relevant case studies, project screenshots, and client results as part of the qualification conversation. Instead of hoping visitors find your portfolio page on their own, the bot surfaces the right examples based on the services the prospect is interested in, increasing engagement and building credibility before the first sales call.
The agent walks visitors through your full service portfolio, from mobile app development and responsive web design to API integrations and digital strategy consulting. Instead of forcing prospects to read through a services page, the bot surfaces relevant offerings based on what the visitor actually needs.
The agent captures granular project details that matter to creative teams: deliverable type, brand guidelines, reference examples, target audience, and launch deadlines. This structured intake replaces the back-and-forth emails that typically delay the proposal process by days or weeks.
Unlike embedded quiz widgets or static survey tools, this agent delivers questions through a chat interface that feels personal and responsive. Each question appears as a message, answers are selected with a tap, and feedback is instant. This format consistently outperforms traditional quiz formats because it leverages the same interaction patterns people use in messaging apps every day, reducing cognitive friction and increasing completion rates.
The AI agent identifies whether prospects need qualitative research (focus groups, IDIs, ethnography), quantitative studies (surveys, conjoint analysis, MaxDiff), or mixed-method approaches. It tailors follow-up questions based on the methodology, ensuring your sales team receives a brief that maps directly to your service offerings.
The agent identifies which service line a prospect is interested in, whether that is SEO, paid media, web development, social media management, or branding. Based on the response, it adjusts follow-up questions and can route the lead to the appropriate team or account manager within your agency.
The agent can present video reels, case studies, and sample work within the conversation flow. Prospects see relevant examples based on the project type they select, which builds credibility and shortens the sales cycle before a human ever gets involved.
Tourism agencies often list dozens or hundreds of packages across multiple destinations, and visitors struggle to find what fits their needs by scrolling through catalog-style pages. This agent acts as a virtual travel consultant, asking about the visitor's travel style (relaxation vs. adventure vs. culture), preferred climate, must-see destinations, and trip duration to narrow down relevant packages. Instead of forcing visitors to self-navigate a complex product catalog, the bot guides them to the right options through conversation — mimicking the high-touch experience of an in-person travel consultant.
Agencies operate under constant margin pressure, with new business teams stretched across pitches and account teams juggling multiple client portfolios simultaneously. AI agents absorb the repetitive interactions on both sides of the agency revenue equation, turning inbound traffic into qualified pipeline and turning client inquiries into resolved tickets.
Only 23% of B2B firms respond to web leads within five minutes. Retainer agencies with poor communication see 18% annual churn; project-based agencies lose up to 42%.
Agents replace static forms with adaptive qualification for prospects. For clients, they handle status inquiries, collect NPS feedback, and route escalations with full context attached.
Complex engagements and client escalations transfer to your team with full history attached. Tars is SOC 2 Type 2, ISO 27001, and GDPR compliant — meeting enterprise vendor requirements.
Agency
features
Tars gives agencies the always-on infrastructure to win new business and support existing accounts without expanding headcount or sacrificing service quality.
Deterministic logic handles service routing and lead qualification; AI dialogue handles campaign feedback and client questions — in one agent.
60M+ conversations across 800+ brands. 78% of users rated AI agent interactions equal to or better than human — validated across real deployments.
Production-ready agents deploy in 3-4 weeks with pre-built integrations for HubSpot, Salesforce, Slack, Asana, and Calendly — no six-month rollout.
Per-conversation metrics on qualification accuracy, client sentiment, and escalation timing replace anecdotal assessments with measurable data.
Agencies need a platform that handles multi-service sales conversations, supports ongoing client interactions, and projects the same polish your clients expect from everything your agency delivers.
Agency
FAQs
AI agents serve the full spectrum of agency types: digital marketing agencies, creative and design studios, PR and communications firms, SEO and PPC specialists, branding consultancies, management consulting firms, IT managed service providers, and web development agencies. The Tars platform includes 132 agency AI agent solutions covering lead qualification, client onboarding, project intake, NPS surveys, advertising effectiveness research, and ongoing client support workflows.
Tars integrates natively with HubSpot, Salesforce, and Zoho CRM for lead and client management, plus Google Calendar and Calendly for automated meeting scheduling. For project delivery and client service, agents connect to Slack for real-time notifications, Asana and Monday.com for task routing, and Google Sheets for lightweight reporting. The platform supports 700+ integrations through Zapier and custom webhooks, covering virtually any tool in a modern agency's technology stack.
Tars is SOC 2 Type 2 certified, ISO 27001 certified, and GDPR compliant, with all data encrypted in transit and at rest. For agencies serving enterprise clients or working in regulated verticals like healthcare, financial services, and government, this security posture satisfies the vendor due diligence requirements your clients hold you to. The platform also supports configurable data retention policies and audit logging.
Most agencies deploy their first AI agent within 3-4 weeks. The Tars platform provides a no-code visual editor for configuring conversation flows, qualification criteria, integrations, and branding without developer resources. Agencies with complex multi-service qualification logic or client-facing support workflows can work with the Tars implementation team for guided deployment.
Yes. Tars agents use intent detection and conditional branching to route visitors down the appropriate path. A new prospect asking about services enters a qualification flow that captures company size, marketing goals, budget range, and timeline. An existing client checking on a project enters a service flow that provides status updates, collects feedback, or routes complex issues to the right account manager with full conversation context attached.
An AI agent handles unlimited concurrent conversations around the clock with sub-two-second response times. It captures the same discovery information a human BDR would gather: company details, service interests, budget range, and timeline urgency. Your human team then focuses on relationship selling, proposal development, and the strategic conversations that close accounts. Most agencies find one AI agent handles intake volume equivalent to 2-4 full-time BDRs at a fraction of the annual cost.
Yes. AI agents deliver significantly higher completion rates than email-based surveys because the conversational format feels less burdensome. Agencies deploy NPS, CSAT, advertising effectiveness, and project satisfaction surveys through AI agents embedded in client portals, post-deliverable follow-up messages, or standalone links shared after campaign milestones. Responses flow directly into your CRM or reporting tools, and detractor alerts can trigger immediate escalation to your account team through Slack or email notifications.
Yes, and this is one of the highest-value use cases in the category. Tars supports multi-tenant deployments where an agency manages AI agents across multiple client accounts with client-specific branding, conversation flows, and reporting. Breedon Consulting, for example, embeds a Tars-powered agent called "Billie" into its HR service packages, delivering AI-driven advice to its own customer base. This model creates recurring revenue for the agency and deeper client relationships because the AI agent becomes embedded infrastructure that clients depend on.
Email - sales@hellotars.com
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