# zRev

> zRev AI (zrev.ai) helps B2B software companies grow revenue faster by building AI into the sales and marketing systems they already use: lead scoring, routing, outreach and forecasting, inside their own HubSpot or Salesforce. Every system is handed over to the client's team to run, with results typically visible within 30 days.

Best fit: B2B software and tech companies between $2M and $50M ARR with a dedicated sales or revenue team that want to accelerate pipeline, reduce CAC, or scale GTM without adding headcount.

Generated from site content on 2026-09-17. Canonical site: https://www.zrev.ai

## Services

- **AI Implementation**: AI models and workflows wired directly into the revenue stack.
- **GTM Strategy**: ICP definition, positioning, motion design, and answer-engine optimization (AEO).
- **Revenue Operations**: Pipeline management, forecasting, and CRM truth.
- **Automation**: End-to-end GTM automation: enrichment, scoring, sequences, routing.
- **GTM Due Diligence**: Buy-side GTM diligence for PE, VC and corporate acquirers: pipeline quality, revenue durability, CAC and unit economics, team and motion, delivered at deal speed.
- **Offshore Teams**: Offshore teams for GTM, finance, operations and support: recruited, or built and operated end to end, primarily in India, AI-enabled from day one.

## Typical outcomes

- Pipeline velocity: 2x
- CAC reduction: 20%
- GTM busywork automated: 60%
- Time to results: results start inside 30 days and mature by 60
- Hours back per rep per week: 10

_Typical results from our engagements, benchmarked against comparable AI-powered GTM implementations. Results vary by stack, data quality and adoption._

## Pricing and engagement model

Pricing is scoped to deliverables, not hours. Focused engagements start in the low four figures USD per month; larger GTM system builds are priced per project. Fixed scope and price before any engagement starts. Typical first engagement runs 60 days; ongoing engagements range from 3 months to over a year.

## Technologies

OpenAI, Anthropic, Clay, Fathom, HeyGen, ZoomInfo, HubSpot, Salesforce

## FAQ

- What does zRev do?
- Who is zRev for?
- How long does a typical zRev engagement take?
- What actually happens in a 60-day engagement?
- How is zRev different from a traditional GTM agency?
- What results can I expect from working with zRev?
- Do you do GTM due diligence for investors?
- Can you build our offshore team?
- How much does zRev cost?
- Is there work zRev turns down?
- Is there a free way to see how AI reads my site?

Full answers: https://www.zrev.ai/faq

## Pages

- [/](https://www.zrev.ai/) (updated 2026-09-17): Homepage: services, the GTM system diagram, process, team.
- [/roi-calculator](https://www.zrev.ai/roi-calculator) (updated 2026-09-17): Interactive ROI calculator: model pipeline lift, CAC savings, and hours freed from your own inputs. Supports shareable URLs.
- [/leak-detector](https://www.zrev.ai/leak-detector) (updated 2026-09-17): GTM Leak Detector: a 60-second diagnostic that ranks your three biggest GTM automation gaps.
- [/faq](https://www.zrev.ai/faq) (updated 2026-09-17): FAQ: what zRev does, who it is for, engagement timeline, differentiation, results, pricing.
- [/privacy](https://www.zrev.ai/privacy) (updated 2026-09-16): Privacy policy and terms of service (free tools are provided as-is with fair-use limits; automated readings are not advice; governed by Indian law).
- [/gtm-dd](https://www.zrev.ai/gtm-dd) (updated 2026-09-14): GTM Due Diligence: buy-side diligence for PE, VC and corporate acquirers covering pipeline quality, revenue durability, CAC and unit economics, team and motion, stack hygiene and the first 100 days. NDA first, report plus live readout.
- [/gtm-dd-checklist](https://www.zrev.ai/gtm-dd-checklist) (updated 2026-09-14): The GTM Due Diligence Checklist: 47 questions across 10 dimensions (revenue quality, churn truth, new-logo engine, pipeline integrity, win/loss, market, competition, marketing engine, sales org, RevOps) with data-room artifacts and red flags.
- [/mcp](https://www.zrev.ai/mcp) (updated 2026-09-17): zRev runs a public MCP server at https://go.zrev.ai/mcp (Streamable HTTP, no auth). AI agents can query services and benchmarks, run the ROI model via the estimate_roi tool, book a call, or leave contact details.
- [/llms-generator](https://www.zrev.ai/llms-generator) (updated 2026-09-17): Free llms.txt generator and grader: paste any domain to generate a starter llms.txt from its real pages, or grade an existing one with specific fixes and an improved draft. Also available as zRev AEO Lens, a free Chrome extension (https://chromewebstore.google.com/detail/pabglhmkdkmbeggeegibghgnahholcgg) that shows an AEO readiness score, llms.txt grade, structured data, AI-crawler access, and a cold read of any site in one click.
- [/60-days](https://www.zrev.ai/60-days) (updated 2026-09-14): What 60 Days Actually Looks Like: the week-by-week anatomy of a first engagement across four phases (Diagnose days 1-14, Design days 15-28, Deploy days 29-49, Compound day 50+), with per-phase deliverables, client-side asks, and honest slip points.
- [/offshore-teams](https://www.zrev.ai/offshore-teams) (updated 2026-09-14): Offshore Teams: recruit, or build and operate, offshore teams for GTM, finance, operations and support. Primarily India, US and UK builds where needed, AI-enabled from day one.
- [/tools](https://www.zrev.ai/tools) (updated 2026-09-14): Free tools hub: ROI calculator, GTM leak detector, llms.txt generator, zRev AEO Lens Chrome extension, public MCP server, and the GTM due diligence checklist. No email, no account.
- [/what-we-dont-do](https://www.zrev.ai/what-we-dont-do) (updated 2026-09-14): What We Don't Do: the six kinds of work zRev turns down (consumer/self-serve, agencies selling hours, no sales motion yet, decks without implementation, outsourced SDR floors, replacing sellers with AI), the reason for each, and where to go instead.
- [/services](https://www.zrev.ai/services) (updated 2026-09-17): Services hub: six ways in. AI implementation, GTM strategy, revenue operations and automation for operators; GTM due diligence for deal teams; offshore teams.
- [/services/ai-implementation](https://www.zrev.ai/services/ai-implementation) (updated 2026-09-17): AI Implementation: lead scoring, pipeline forecasting, automated outreach, deal intelligence, meeting prep and copilots, wired into the existing stack.
- [/services/gtm-strategy](https://www.zrev.ai/services/gtm-strategy) (updated 2026-09-17): GTM Strategy: ICP from evidence, positioning, channel mix, sequencing, messaging and signal design, plus answer-engine optimization (AEO) and the fixed-scope AEO Audit.
- [/services/revenue-operations](https://www.zrev.ai/services/revenue-operations) (updated 2026-09-17): Revenue Operations: CRM hygiene, attribution, forecasting, reporting, routing and SLAs, tool rationalization. The instrumentation layer that makes every number trustworthy.
- [/services/automation](https://www.zrev.ai/services/automation) (updated 2026-09-17): Automation: sequences, enrichment, routing, follow-ups, CRM upkeep and reporting running themselves. About 10 hours back per rep per week.
- [/insights](https://www.zrev.ai/insights) (updated 2026-09-17): Insights: zRev's field notes on AI in go-to-market, answer-engine optimization (AEO), and revenue operations. RSS at https://www.zrev.ai/insights/feed.xml
- [/insights/aeo-for-b2b](https://www.zrev.ai/insights/aeo-for-b2b) (updated 2026-09-17): Insight: AEO for B2B: The Four Checks That Decide Whether AI Can Find You. Buyers ask ChatGPT, Claude, and Perplexity before they search. Four deterministic checks (llms.txt, AI crawler access, structured data, sitemap hygiene) decide whether those assistants can read your company, and what they say when they cannot. AI-readable Markdown edition: https://www.zrev.ai/insights/aeo-for-b2b.md
- [/insights/five-questions-deal-teams-skip](https://www.zrev.ai/insights/five-questions-deal-teams-skip) (updated 2026-09-17): Insight: The Five Questions Deal Teams Skip in GTM Due Diligence. Data rooms answer the questions they were built to answer. The five that decide whether a revenue engine is real (invoice-level retention, aged pipeline, founder gravity, paid-spend dependence, CRM-to-billing reconciliation) are the ones deal teams routinely skip. Here is why, and what to ask for instead. AI-readable Markdown edition: https://www.zrev.ai/insights/five-questions-deal-teams-skip.md
- [/insights/what-a-buyers-ai-sees](https://www.zrev.ai/insights/what-a-buyers-ai-sees) (updated 2026-09-17): Insight: What a Buyer's AI Sees When It Reads Your Homepage. Paste your homepage into an assistant with no context and ask what the company does. The answer is what buyers hear when they ask ChatGPT, Claude or Perplexity about you. Here is how to run that cold read in one click, what the common gaps look like, and how to close them. AI-readable Markdown edition: https://www.zrev.ai/insights/what-a-buyers-ai-sees.md
- [/careers](https://www.zrev.ai/careers) (updated 2026-09-14): Careers: the core team, how people grow from running the systems to designing them, and the open roles (first BDR, remote, US hours). Apply by email to hello@zrev.ai.
- [/answers](https://www.zrev.ai/answers) (updated 2026-09-17): Answers: short pages, one per question buyers ask about AI in go-to-market, each opening with a two-sentence answer.
- [/answers/what-is-answer-engine-optimization](https://www.zrev.ai/answers/what-is-answer-engine-optimization) (updated 2026-09-17): Answer: What is answer engine optimization (AEO)? Answer engine optimization is the work of making a company legible to AI assistants such as ChatGPT, Claude and Perplexity, so that when a buyer asks one for options it can find the company and describe it accurately. Where SEO competes for a position in a list of links, AEO competes to be part of the answer itself.
- [/answers/what-is-llms-txt](https://www.zrev.ai/answers/what-is-llms-txt) (updated 2026-09-17): Answer: What is llms.txt, and does my site need one? llms.txt is a plain Markdown file at the root of a website that tells AI systems what the site contains: a one-paragraph summary of the company followed by a short, annotated list of its most important pages. If you want AI assistants to describe your company accurately, you need one, because it is the only page on your site written for them.
- [/answers/what-is-signal-based-outbound](https://www.zrev.ai/answers/what-is-signal-based-outbound) (updated 2026-09-17): Answer: What is signal-based outbound? Signal-based outbound is prospecting that starts from an event rather than a list: a new sales leader in seat, a third SDR job posting, a CRM migration, a funding round with a hiring plan attached. The signal is the reason to write, so the message is about something true and recent instead of a template sent to everyone who fits a filter.
- [/answers/what-is-ai-lead-scoring](https://www.zrev.ai/answers/what-is-ai-lead-scoring) (updated 2026-09-17): Answer: What is AI lead scoring, and how is it different from rule-based scoring? AI lead scoring uses a model trained on your own won and lost deals to estimate how likely each new lead is to become revenue, then ranks the queue so reps work the best ones first. Rule-based scoring adds points for attributes someone guessed were important; AI scoring learns which attributes actually predicted a sale in your history.
- [/answers/how-long-does-ai-lead-scoring-take](https://www.zrev.ai/answers/how-long-does-ai-lead-scoring-take) (updated 2026-09-17): Answer: How long does it take to implement AI lead scoring? A first working model is usually live inside 30 days, and it takes about 60 days for its results to settle, because the model needs several weeks of real leads before its thresholds can be tuned. Most of the time goes into data and adoption, not into the model.
- [/answers/revops-consultant-vs-agency-vs-in-house](https://www.zrev.ai/answers/revops-consultant-vs-agency-vs-in-house) (updated 2026-09-17): Answer: RevOps consultant, agency or in-house hire: which should a B2B company choose? Hire in-house when you have continuous operations work and the budget for a senior person; use a consultant when you need a specific system built or fixed and handed over; use an agency when you want ongoing execution of a defined task, such as campaign operations. Most companies between $2M and $50M in revenue need the second before they can make good use of the first.
- [/answers/what-is-gtm-due-diligence](https://www.zrev.ai/answers/what-is-gtm-due-diligence) (updated 2026-09-17): Answer: What is GTM due diligence, and when do investors need it? GTM due diligence is a buy-side review of whether a company's revenue engine is real and repeatable: the quality of its pipeline, the durability of its revenue, its unit economics, and the team and motion that produce them. Investors and acquirers need it whenever the price depends on growth continuing, which financial diligence alone cannot confirm.
- [/answers/what-is-speed-to-lead](https://www.zrev.ai/answers/what-is-speed-to-lead) (updated 2026-09-17): Answer: What is speed to lead, and how do you improve it? Speed to lead is the time between a prospect raising their hand, by filling a form, replying or requesting a demo, and a person from your company responding. It is improved mostly by removing the steps between the form and the rep: instant enrichment, automatic routing by rule, and an alert with context, so the first reply takes minutes rather than hours.
- [/answers/how-to-prepare-crm-data-for-ai](https://www.zrev.ai/answers/how-to-prepare-crm-data-for-ai) (updated 2026-09-17): Answer: How do you prepare CRM data for AI? Make the data mean one thing, fill the fields the model will read, and mark outcomes honestly: clear stage definitions, enrichment for the attributes you score on, duplicates merged, and every closed deal labeled won or lost with a reason. You do not need perfect data to start, but you do need to know which fields can be trusted.
- [/answers/build-vs-buy-ai-for-sales](https://www.zrev.ai/answers/build-vs-buy-ai-for-sales) (updated 2026-09-17): Answer: Should a B2B company build AI into its own sales stack, or buy an AI sales tool? Buy a tool when the job is generic and self-contained, such as call recording or email warm-up; build into your own stack when the value depends on your data, your rules and your CRM, such as scoring, routing and account research. Most teams need both, and the expensive mistake is buying a tool to do a job that only works when it sits inside your systems.
- [/insights/state-of-aeo-b2b-saas-2026](https://www.zrev.ai/insights/state-of-aeo-b2b-saas-2026) (updated 2026-09-17): Insight: The State of AEO in B2B SaaS, 2026. We ran 274 well-known B2B software companies through the same reader a buyer's AI assistant uses. 61% now publish an llms.txt, 76% carry structured data, only 4% block an AI crawler, and one in twelve could not be read at all. The numbers, the category gaps, what a model actually sees in the first 5,000 characters, and what to fix first. AI-readable Markdown edition: https://www.zrev.ai/insights/state-of-aeo-b2b-saas-2026.md

## zRev elsewhere

- [Crunchbase](https://www.crunchbase.com/organization/zrev-ai): company profile.
- [Clutch](https://clutch.co/profile/zrev-ai): service provider profile (AI consulting, CRM consulting, business consulting, marketing strategy).
- [LinkedIn](https://www.linkedin.com/company/zrev-ai): company page.
- [Official MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.zrev%2Fzrev/versions/latest): the public MCP server, listed as ai.zrev/zrev (also on Smithery as zrev/zrev and on Glama as ai.zrev/zrev).
- [Chrome Web Store](https://chromewebstore.google.com/detail/zrev-aeo-lens/pabglhmkdkmbeggeegibghgnahholcgg): the zRev AEO Lens extension.

## Contact

Email: hello@zrev.ai · LinkedIn: https://www.linkedin.com/company/zrev-ai · X: https://x.com/zRev_ai · Book a call: https://calendly.com/zrev · MCP server for AI agents: https://go.zrev.ai/mcp