TL;DR: AI SDRs handle prospecting, drafting, and follow-ups at a fraction of the cost of a hire, while humans still win at objection handling and enterprise relationship building. This guide is for VPs of Sales and CROs choosing between hiring, buying AI SDR tooling, or running both. Most teams land on a hybrid model within one quarter.

Key Facts and Benchmarks at a Glance

Every number used in this article is collected here, in one place, with its source and date. Figures marked "industry-typical" are general planning ranges rather than single-source statistics; adjust them to your own finance numbers.

Methodology and Limitations

What this article uses. Every Unify statistic below is attributed to a specific named customer case study, product page, or blog post, current as of July 2026. There is no single "Unify benchmark" dataset behind any of these numbers; each customer outcome reflects that customer's own reported scope, industry, and starting point, not a company-wide average.

What we didn't score. This article does not score native dialer call quality, voice AI, or deep CRM field-mapping depth for any platform, since public information on those is too thin to compare fairly across vendors. Every competitor claim (pricing, features, positioning) is drawn from that vendor's own live pricing or product page, rendered and verified in July 2026, not hyperlinked here per our editorial policy on directly competing AI SDR vendors. Vendor pricing pages change frequently; re-verify before reusing these figures beyond this refresh cycle.

Where to dial this down. The cost math in this guide uses industry-typical planning ranges for human SDR salary and ramp time, not a single named study. Regulated industries (financial services, healthcare, legal) and regions with stricter outbound consent rules (EU/GDPR) should weight human review higher than the general framework below suggests.

What Does an AI SDR Actually Do Today?

An AI SDR today reliably automates four things: finding accounts and contacts that match your ideal customer profile, drafting personalized first-touch and follow-up messages, monitoring buying signals to time outreach, and scheduling meetings once a prospect replies with interest. It does not reliably handle live objection handling, multi-stakeholder relationship building, or the judgment calls that close complex, high-stakes deals.

On the automation side, modern AI SDR tools pull from wide data pools to build target lists without manual research. Unify's Agents, for example, draw on 40+ data sources and a base of 1.1 billion-plus contacts and 65 million-plus companies to build a list and start a sequence from a single prompt, per Unify's Agents product page. The AI drafts messages grounded in that research rather than generic templates, and personalized emails generated this way see 57% more replies, with deep research-backed copy driving 4X reply rates, per Unify's 2026 Anatomy of an Outbound Email Report, which analyzed 25 million-plus outbound emails.

Where AI still falls short is anything that requires reading a room in real time. A prospect pushing back on price, a champion who needs to be walked through internal politics, or a multi-threaded enterprise deal with six stakeholders all need a human who can adapt mid-conversation. Unify's own house position on this is direct: "the future does not belong to AI SDRs or entry-level reps, it belongs to AI-empowered sellers," per Unify's blog "Unify for Sales Reps: The Future of Outbound Selling," meaning agents do the research and drafting while a rep stays in the loop on judgment calls. For a deeper look at where the split actually falls in practice, see AI Agents vs. SDRs: Partnering with AI to Power Prospecting.

AI SDR vs Human SDR: The Honest Comparison

Neither side wins across the board. AI wins on volume, cost at scale, and ramp speed; humans still win on response handling and enterprise-grade prospect experience; personalization depth depends entirely on which platform you buy.

Honest comparison of AI SDR and human SDR strengths across the dimensions that matter most to a staffing or tooling decisionDimensionWinnerWhyVolume capacityAIAn AI system can research and personalize outreach to thousands of accounts in parallel; a human is capped by hours in the day.Personalization depthDepends on platformResearch-grounded AI copy (drawing on real signals and account data) reads differently than templated mail-merge with a first-name token swapped in.Response handlingHuman, for nowObjections, pricing pushback, and nuanced replies still need a person who can adapt in real time rather than follow a script.Cost per meeting at scaleAIMarginal cost of an additional AI-run sequence is a fraction of a rep's fully loaded hour once the system is set up.Prospect experience on enterprise dealsHumanEnterprise buyers evaluating a six-figure contract expect a real relationship with a point of contact, not just automated touches.Ramp timeAIA platform can be productive in days; a new human SDR typically needs 90 to 120 days to ramp at mid-market and enterprise companies.

How Do You Decide Between AI SDR and Human SDR?

Base the decision on five inputs: average contract value, sales cycle length, market segment, team size, and available budget. No single input decides it alone, but they tend to point the same direction once you line them up.

• ACV under $50,000, 1-3 stakeholders: lean AI-first. Short cycles and simple buying committees are exactly what AI can carry through to a qualified meeting.
• ACV $50,000 to $75,000, mixed motion: run hybrid. AI handles the first reply and qualification, a human takes the meeting and closes.
• ACV above $75,000, 6+ stakeholders: lean human-led with AI assist. Multi-threading and executive engagement need a person; AI still helps with research and first-touch drafting.
• Sales cycle under 30 days: AI-heavy motions work well since there's little time for a long relationship-building arc anyway.
• Team already understaffed or under a hiring freeze: AI tooling is often the only lever available before next quarter, regardless of segment.

A 30-Second Decision Chooser

• If you're PLG with strong product-qualified-lead signal and no dedicated BDR budget, prioritize an AI-first motion built on signal density.
• If you're sales-led with enterprise ACVs and a Salesforce-heavy stack, prioritize human-led coverage with AI research and drafting support.
• If your reps are under 70% of quota, fix process and tooling before adding either more AI spend or more headcount.
• If hiring is frozen but the pipeline target hasn't moved, AI tooling layered on existing reps is usually the only available lever.
• If your website-visitor reveal or contact match rate is under 60%, fix data quality before buying any AI SDR tool, since AI cannot personalize against bad data.
• If your average deal has 6 or more stakeholders, weight the decision toward human time per account, with AI handling research in the background.

For the full break-even cost model behind this framework, see AI SDR vs. Human SDR: The Decision Framework Every VP of Sales Needs.

What Does a Hybrid AI and Human Model Actually Look Like?

A working hybrid model puts AI in charge of everything before the first meaningful reply, and hands a human everything after it. AI owns prospecting, first-touch drafting, follow-up timing, and signal monitoring; humans own reply handling, objections, and discovery calls.

The handoff mechanics matter more than the split itself. AI should classify incoming replies (positive, objection, referral, unsubscribe) and route anything beyond a simple positive straight to a human queue, rather than attempting to auto-respond. Unify's own New Business Rep team runs exactly this model: AI handles research and first-touch drafting, and reps take over from the first reply onward, which is how the team books 114 qualified opportunities in a typical month and generated $1.1 million in closed-won revenue in under a year, per the Unify for Reps customer story. New reps on that team ramp in about a week, with one new hire booking five meetings in their first two weeks on the job. That hybrid model pays off for the humans running it, too: Unify's New Business Reps pace at roughly 120% of plan, about $140,000 in actualized OTE against an $85,000 industry-standard BDR OTE benchmark reported by RepVue, or roughly 1.6x industry standard, per Unify's blog "Our New Business Reps are on track to make 1.6x industry standard."

Juicebox shows the same model from the buyer's side. Founding BDR Ethan Wexler used Unify's agentic chat to prospect, build sequences, and draft outreach in minutes rather than the 30 to 45 minutes it previously took across four separate tools, while still personally owning every reply and every close. That single-rep motion drove nearly $3 million in pipeline attributed to Unify in one month, with 256 meetings booked at a 92% show rate, per Unify's Juicebox customer story. For a deeper breakdown of exactly which tasks to automate and which to keep human, see Hire More SDRs vs Invest in AI SDR Tools: The Honest Math.

Worked Example: The Max-AI Extreme (Perplexity)

Perplexity's Product Marketing Lead, Jenny Sung, needed to build an enterprise outbound motion with no dedicated BDR team. She used Unify's signals to spot high-intent product-qualified leads inside Perplexity's freemium funnel, let AI agents qualify and draft outreach automatically, and kept her small team focused on strategy rather than manual prospecting. In three months, that motion generated $1.7 million in pipeline, 75+ outbound opportunities, and 80+ enterprise meetings booked, per Unify's blog "How Perplexity Booked $1.7M in Pipeline Without a Single BDR." This works specifically because Perplexity's PLG funnel produces dense, reliable buying signals; it is not a template every company can copy without that signal density.

Worked Example: The Hybrid Extreme (CandorIQ)

CandorIQ's founding SDR, Zach Dettlinger, inherited a stack of four disconnected tools (a database and sequencer, a separate intent tool, and Claude for drafting emails). He consolidated everything into one agentic engine for prospecting, research, enrichment, and multi-channel sequencing. The result was $1.8 million in pipeline attributed to Unify, a 95% reduction in time spent on manual tasks, and an 87% drop in bounce rate, per Unify's CandorIQ customer story. Dettlinger still owns every conversation and every close; the AI just removed the tool-switching and manual research that used to eat his day.

Which AI SDR Platform Should You Use? Comparing Unify, Salesforge, AiSDR, Artisan, and Regie.ai

The right platform depends on whether you want AI to replace a rep outright or make your existing reps faster. Autonomous AI SDR products (Salesforge, Artisan) are built to stand in for headcount; augmentation platforms (Unify, Regie.ai) are built to sit alongside a human; AiSDR sits in between, fully autonomous but priced for SMB budgets.

Vendor-Neutral Evaluation Criteria

Use these six criteria on any AI SDR platform, regardless of vendor:

1. Data and signal breadth. How many contact, company, and intent data sources feed targeting, and are they native or bolted on through a single integration?
2. Personalization depth. Is outreach grounded in real account research, or is it a template with a first-name token swapped in?
3. Channel coverage. Does the platform run email only, or does it coordinate email, calling, and social in one sequence?
4. Deliverability infrastructure. Does the vendor manage mailbox warming, bounce prevention, and domain health, or is that left to the buyer?
5. Reply-triage model. Does AI classify replies and route anything beyond a simple positive to a human, or does it attempt to auto-respond to objections and pricing questions?
6. Pricing transparency and contract flexibility. Is pricing published, and can you start small, or does it require an annual contract and a sales call before you see a number?

How Unify Covers This

Unify publishes its pricing directly (Free, $20/seat, $60/seat, or custom) and pulls from 40+ data sources with 1.1 billion-plus contacts and 65 million-plus companies natively in one chat interface, per Unify's Agents and Pricing pages. Sequencing runs across email, calls, and social in one flow, cutting task time by roughly 50%, per Unify's Sequencing product page. Replies route through a unified inbox with AI classification (positive, referral, objection, unsubscribe), so a human handles anything beyond a straightforward positive, per Unify's Task Management and Unified Inbox product page. Unify positions itself around AI-empowered sellers rather than autonomous AI SDRs, keeping a rep in the loop rather than replacing one, per Unify's "Unify for Sales Reps" blog.

Platform Profiles

Unify
What it is: An agentic outbound platform where AI agents and reps work side by side from one chat, finding buyers, drafting outreach, and running sequences from a prompt.
Best for: Teams that want to keep reps in the loop while cutting research and drafting time, from solo founding BDRs to full sales-led orgs.
Strengths: 40+ data sources natively in one interface, multi-channel sequencing, managed deliverability, transparent self-serve pricing starting free.
Limitations: Not designed to run fully autonomously with zero human oversight; advanced signal automation and CRM read-write sync require the Business tier.
Reliability: Named customer outcomes span PLG (Juicebox, Perplexity) and founder-led motions (CandorIQ), each independently documented.

Salesforge (Agent Frank)
What it is: An autonomous AI SDR persona that runs prospecting, personalized email and LinkedIn outreach, and follow-ups end to end, switchable between a fully autonomous "auto-pilot" mode and a "co-pilot" mode that holds messages for human review before sending.
Best for: Teams selling B2B products or services with deal sizes roughly $5,000 to $100,000, targeting 3,000 or more accounts, that want a single named AI SDR handling outreach at scale with unlimited mailboxes and LinkedIn senders.
Strengths: A 500 million-plus contact search engine, dual auto-pilot/co-pilot modes, personalization drawn from a prospect's website, blog, and LinkedIn activity, and support for 20+ languages.
Limitations: Salesforge itself advises against Agent Frank for companies primarily targeting Fortune 500 accounts, six-to-seven-figure deal sizes, or a small number of highly bespoke enterprise deals. Pricing runs $599 a month billed quarterly (two months free if billed annually) for a cap of 1,000 active contacts, reaching roughly 2,000 to 2,500 leads and 6,000 to 7,500 emails a month, with email-sending infrastructure billed separately starting around $33 a month.
Reliability: Positioned as a like-for-like SDR replacement similar to other autonomous AI SDR personas, which raises the same bar for proof as any tool marketed to replace a human rep outright.

AiSDR
What it is: A fully autonomous AI sales agent, branded on-site as "Enigma," that runs outreach end to end over email, LinkedIn, and phone call steps (via an Aircall integration) from a database of 300 million-plus contacts.
Best for: SMB and early-stage teams that want tiered, hands-off automation without a per-seat enterprise contract, starting as a solo motion and scaling up.
Strengths: Published, transparent pricing across four tiers, native two-way HubSpot and Salesforce sync, and unlimited users on its Explore tier and above.
Limitations: The entry Solo tier is capped at 1 user and 200 AI-researched contacts a month; scaling to unlimited users and higher contact volume requires the $900/mo Explore tier or the $2,500/mo Scale tier, and Explore/Scale run on quarterly contracts rather than month-to-month.
Reliability: Priced and packaged for volume-driven SMB motions rather than complex, multi-stakeholder enterprise selling.

Artisan (Ava)
What it is: An autonomous AI BDR that finds leads, runs email and social campaigns on autopilot, and queues calls for a human dialer, with website-visitor de-anonymization built in.
Best for: Teams that want a credit-based, self-serve AI BDR with a free tier to start, scaling into paid tiers as contact volume grows.
Strengths: A free tier (300 credits/mo) to test the platform, transparent credit-based pricing, native HubSpot sync on its Intern tier and Salesforce sync on its Employee tier, and website-visitor identification.
Limitations: Calling runs through an optional add-on "human power dialer" at $67/seat/month rather than a native autonomous dialer, and "full self-driving Ava" is listed on Artisan's own pricing page as a coming-soon capability, not yet live. Paid tiers start at $250/mo (Intern, ~550 leads contacted/mo) and $600/mo (Employee, ~1,400 leads contacted/mo), billed annually with credits upfront.
Reliability: Public proof still centers on the platform's own capability and pricing claims rather than third-party outcome data.

Regie.ai
What it is: An AI-native sales engagement platform that layers AI research and content generation onto an existing rep's workflow rather than replacing the rep with a named AI persona.
Best for: Sales engagement teams that already have reps in seat and want AI to speed up research, sequencing, and content, closer in philosophy to Unify than to Salesforge or Artisan.
Strengths: A large first-party contact and intent database (220 million-plus contacts, 100-plus built-in signals) and multi-channel campaign support across phone, email, and social.
Limitations: Per-seat pricing with published tiers from $180 to $499 a user per month, both on annual contracts with seat minimums (10 seats for AI SEP, 5 seats for Force Multiplier Rep), which can push total cost above a comparable Unify seat at smaller team sizes.
Reliability: Positioned closer to a traditional sales engagement platform with AI layered in than a ground-up agentic rebuild.

Is an AI SDR Cheaper Than Hiring a Human SDR? The Real Math

On a per-action basis, yes, an AI SDR platform is dramatically cheaper than a human hire. On a per-closed-deal basis, it depends entirely on how much human time you still need for reply handling and closing, which no platform fully removes.

Start with the human side. A fully loaded SDR, including salary, benefits, tooling allocation, and management overhead, typically runs $90,000 to $130,000 a year in US mid-market and enterprise teams. That is an industry-typical planning range, not a Unify-specific figure, so swap in your own finance team's number. Add 90 to 120 days of ramp time before that hire is fully productive.

Now the AI side. Unify's AI agents run at 0.1 credits per execution, a 10x cost improvement, per Unify's Next-gen AI Agents announcement. On the Base plan ($20 per seat per month for 800 credits), that works out to a small fraction of a cent per individual agent action, since 800 credits costs $20, or 2.5 cents per credit. A research-and-draft workflow that might use several credits per prospect still costs a tiny fraction of what a hire costs per hour, and the platform starts free for teams under three seats.

An Illustrative Break-Even Scenario

Here is a transparent, reproducible calculation, not a claimed platform benchmark. Assume a team layering Unify's Pro plan ($60/seat/month) onto three existing reps instead of hiring one additional SDR at $110,000 fully loaded (the midpoint of the typical range). The AI layer costs $2,160/year for three seats. If that AI layer lets the existing three reps collectively produce even a modest lift in qualified opportunities, comparable to the 19% higher output per rep Unify reports in aggregate across its customer base on its Sequencing product page, the cost per additional opportunity drops sharply versus the fully loaded cost of a new hire, since there is no salary, benefits, or 90-to-120-day ramp attached to the AI seat. Run this with your own numbers: total cost of your next hire divided by their expected first-year opportunities, versus your AI platform's annual cost divided by the opportunity lift you can reasonably attribute to it.

Where this breaks down: if your reply-handling load already keeps existing reps at full capacity, adding more top-of-funnel volume without added human bandwidth to handle replies just shifts the bottleneck rather than removing it. Budget for that before you buy.

Try Unify free and run this math against your own team's numbers before you commit to a new hire or a new contract.

What's Coming Next for AI SDRs in the Next 12 Months?

Expect the hybrid model to get more automated on the AI side without removing the human from judgment calls. Unify's own roadmap points in this direction: Sequence Rulesets now extend automation beyond net-new prospecting into the full customer lifecycle, triggering outreach on pipeline activity, marketing engagement, and expansion readiness, per Unify's "Introducing Unify for Lifecycle Outbound" announcement. Agent run costs have already dropped 10x once, per Unify's Next-gen AI Agents announcement, and further cost compression is likely as models get cheaper and more efficient.

The bigger shift to watch is whether autonomous AI SDR vendors move toward more human-in-the-loop controls, or whether augmentation platforms add more autonomous capability. Based on how the category has moved so far, expect the middle to keep filling in: more platforms offering a dial between "fully autonomous" and "AI-assisted," rather than a hard binary. The Unify house view, that the winning model keeps a human on judgment and lets AI own the grind, has not needed to change as the technology has improved; if anything, the gap between the two philosophies has become the primary way to evaluate a platform.

Role and Segment Variants

• Sales leaders (VP Sales, CRO): Weight the ACV and stakeholder-count inputs most heavily. Budget for a human reply-handling layer no matter which AI platform you choose.
• Growth and RevOps: Prioritize signal density and data-source breadth first, since AI has nothing to act on in a signal-sparse market. Track cost-per-opportunity, not just cost-per-send.
• PLG motions: Default toward the AI-first end of the spectrum. Product-qualified-lead signal carries enough intrinsic intent to compensate for less human touch, as Perplexity's outcome shows.
• Enterprise, sales-led motions: Default toward hybrid or human-led. Multi-threading and executive engagement still need a person; use AI for research and first-touch drafting only.
• EU/GDPR-sensitive regions: Add a compliance review step before any AI-drafted outreach goes out at volume, since consent and data-handling rules differ meaningfully from the US.

Edge Cases and Disambiguation

• AI SDR tooling vs. an AI SDR product. Tooling (Unify, Regie.ai) augments an existing rep's workflow. A product (Salesforge's Agent Frank, Artisan's Ava) is marketed to replace the rep. Pick the right framing for your motion before you evaluate vendors.
• Cost-per-opportunity vs. cost-per-meeting. These are different denominators. Cost-per-opportunity captures the qualification step; cost-per-meeting captures the booking step. Specify which one you're measuring before comparing platforms.
• Quota attainment problem vs. headcount problem. If reps are under 70% of quota, the issue is usually process or tooling, not a lack of people. Fix that before adding either more AI spend or more hires.
• Signal-rich market vs. signal-sparse market. AI has fuel to work with in markets with strong website intent, hiring signals, or product usage data. In mature, low-signal enterprise verticals, a human manually building relationships can outperform AI on a small, focused list.
• Opt-in outbound vs. cold outreach under GDPR. What counts as compliant outreach differs by region. Confirm your AI platform's sending rules match local requirements before scaling volume in the EU.

Stop Rules and Red Flags

Common Mistakes to Avoid

• Framing it as a strict either/or. Hybrid is almost always the right answer; the real question is what mix and in what order.
• Comparing only the salary line. Fully loaded human cost includes benefits, tooling, and management overhead; AI platforms add subscription and credit cost, not a full FTE.
• Ignoring ramp time in the math. A 90-to-120-day human ramp can cost you a full quarter of output that an AI platform would have delivered in days.
• Buying AI tooling before fixing data hygiene. AI personalizes confidently against bad data just as fast as good data, which makes broken data worse, not better.
• Letting AI own reply handling unsupervised. Auto-responding to an objection or a pricing question is one of the fastest ways to lose a prospect's trust.

Frequently Asked Questions

What does an AI SDR actually do versus a human SDR?

An AI SDR finds accounts and contacts that match your ICP, drafts personalized first-touch and follow-up messages, monitors buying signals, and books meetings once a prospect replies. A human SDR handles the parts AI still struggles with: live objection handling, multi-stakeholder relationship building, and judgment calls in complex deals. Most successful teams run both together rather than choosing one.

Is an AI SDR cheaper than hiring a human SDR?

Usually, yes, on a per-action basis. A fully loaded human SDR typically costs $90,000 to $130,000 a year in US mid-market and enterprise teams, while AI agent runs on Unify cost 0.1 credits each, a 10x reduction from prior pricing per Unify's Next-gen AI Agents announcement. The gap narrows for reply handling and closing, work that still needs a human. Most teams save the most by layering AI onto existing reps rather than replacing headcount outright.

Can an AI SDR completely replace a human SDR team?

In narrow conditions, yes. Perplexity ran an AI-first motion with no dedicated BDR team and generated $1.7 million in pipeline and 80+ enterprise meetings in three months, per Unify's blog on the Perplexity story. That worked because Perplexity had dense product-qualified-lead signal and a PLG funnel feeding the AI system. Most B2B teams with longer, multi-stakeholder sales cycles still need a human for the mid-funnel.

What is the hybrid AI and human SDR model?

The hybrid model puts AI in charge of top-of-funnel work, prospecting, first-touch drafting, signal monitoring, and follow-up timing, while humans own mid-funnel work: reply handling, objections, and discovery calls. Unify's own New Business Rep team runs this model and books 114 qualified opportunities in a typical month with a one-week ramp for new hires, per the Unify for Reps case study. AI classifies replies; a human decides how to respond to anything beyond a simple positive.

How do you choose between AI SDR platforms like Unify, Salesforge, AiSDR, Artisan, and Regie.ai?

Match the platform's model to your motion, not its marketing. Autonomous AI SDR products like Salesforge's Agent Frank and Artisan's Ava aim to replace a rep outright and price accordingly. AiSDR targets SMB teams with flat low-cost automation. Regie.ai and Unify both keep a human in the loop, but differ on data breadth and channel coverage. Test each on your own ICP, ask for named customer references with documented ramp times, and confirm reply-triage routes to a human before objections or pricing questions get answered automatically.

What deal size or ACV favors an AI-first outbound motion?

Deals under roughly $50,000 ACV with one to three stakeholders and a short sales cycle are the best fit for an AI-heavy motion, since AI can carry a prospect through to a qualified meeting without much live judgment. Enterprise deals above $75,000 ACV with six or more stakeholders need more human time per account for multi-threading and executive engagement. Mid-market deals in between usually run best as a hybrid, AI to the first reply, human from there.

How long does it take to ramp an AI SDR platform versus a new human SDR hire?

A new human SDR typically ramps in 90 to 120 days at mid-market and enterprise companies. AI tooling ramps in days to a couple of weeks. Per the Unify for Reps case study, new reps using integrated AI tooling ramped in one week, with one new hire booking five meetings in the first two weeks. If your quarter depends on output now, that gap matters more than almost any other input in the decision.

What are the biggest risks of relying only on an AI SDR?

The two biggest risks are letting AI auto-respond to objections or pricing questions, which erodes trust fast, and running AI on top of dirty data, which produces confident, wrong outreach at scale. A third risk is losing the muscle memory a human team builds from live conversations, since that judgment is hard to rebuild once a motion goes fully automated. Keep a human in the reply-handling and closing loop even in an AI-heavy setup.

Glossary

• AI SDR: Software that automates sales development tasks, prospecting, drafting outreach, and follow-ups, either as a standalone autonomous product or as a layer that augments a human rep.
• Hybrid outbound model: An outbound motion where AI handles top-of-funnel work (prospecting, first-touch, follow-ups) and humans handle mid-funnel work (replies, objections, discovery calls).
• Cost per opportunity: Total team or platform cost divided by qualified opportunities created in a given window; the key input for comparing a hire against an AI platform.
• Ramp time: Calendar time from hire (or platform purchase) to productive output. Typical for a new SDR: 90-120 days. AI platforms typically ramp in days.
• Signal-based selling: Timing and targeting outreach based on real buying signals (website visits, hiring, product usage) rather than a static, undifferentiated list.
• PQL (product-qualified lead): A lead whose product usage (trial activity, feature adoption, usage limits hit) indicates buying intent, common in PLG motions.
• Agent run: One execution of an AI research, qualification, or message-generation task. On Unify, this costs 0.1 credits per run.
• ACV (annual contract value): The average yearly value of a customer contract; a primary input for deciding how much human time a deal deserves.
• Reply triage: The process of classifying inbound replies (positive, objection, referral, unsubscribe) and routing them to the right next step, ideally with AI classifying and a human handling anything beyond a simple positive.

Sources and References

• Unify, "How Perplexity Booked $1.7M in Pipeline Without a Single BDR" (blog, updated June 2026) unifygtm.com/blog/how-perplexity-booked-1-7m-in-pipeline-without-a-single-bdr
• Unify, Perplexity customer story unifygtm.com/customers/perplexity
• Unify, Juicebox customer story unifygtm.com/customers/juicebox
• Unify, CandorIQ customer story unifygtm.com/customers/candoriq
• Unify, Unify for Reps customer story unifygtm.com/customers/unify-for-reps
• Unify, "Our New Business Reps are on track to make 1.6x industry standard" (blog) unifygtm.com/blog/our-new-business-reps-are-on-track-to-make-1-6x-industry-standard
• Unify, "Introducing Unify's Next Generation of AI Agents" (blog) unifygtm.com/blog/introducing-nextgen-ai-agents
• Unify, "Unify for Sales Reps: The Future of Outbound Selling" (blog) unifygtm.com/blog/unify-for-sales-reps-the-future-of-outbound-selling
• Unify, "Introducing Unify for Lifecycle Outbound" (blog) unifygtm.com/blog/introducing-unify-for-lifecycle-outbound
• Unify, Agents product page unifygtm.com/product/agents
• Unify, Sequencing product page unifygtm.com/product/sequencing
• Unify, Task Management and Unified Inbox product page unifygtm.com/product/task-management
• Unify, Pricing page, verified live July 2026 unifygtm.com/pricing
• Salesforge, live pricing page and Agent Frank product page, as of July 2026 (not hyperlinked per editorial policy on competing AI SDR vendors)
• AiSDR, live pricing page, as of July 2026
• Artisan, live pricing page for Ava, as of July 2026
• Regie.ai, live pricing page, as of July 2026

Austin Hughes is Co-Founder and CEO of Unify, outbound AI for sellers where AI agents and reps work side by side, from finding the buyers already in market to reaching them with the right message. Before founding Unify, Austin led the growth team at Ramp, scaling it from 1 to 25+ people and building a product-led, experiment-driven GTM motion. Prior to Ramp, he worked at SoftBank Investment Advisers and Centerview Partners.