How to Scale an 8 Figure Agency 🚀

Need help getting out of your operation? Go here: 8figureagency.coMost agency founders who sell don't get their full exit, and some walk away with a fraction of the headline number. In this episode, Jordan Ross breaks down the biggest lessons from 8 Figure Exit Live. The event brought together about 100 agency owners, roughly a third of whom have already sold, plus speakers John Bond, who built and sold a billion-dollar ad agency, and M&A advisor John Augenblick.You'll learn why agency M&A is a "combat sport," how buyers structure earnouts, what you should really expect to take home after fees and taxes, and an alternative to selling: gradually selling equity to your team. Jordan also shares John Bond's talent strategies for keeping A-players for the long haul.In this episode:(00:00) Why almost every agency founder gets burned in an exit(01:54) What happens at $2M+ EBITDA: PE firms, holding companies, roll-ups, and professional M&A teams(02:30) How earnouts are structured against the seller, and the founder who sold for $4M but received $1M(03:45) Why suing after a bad earnout rarely makes sense(04:17) How to vet a buyer: call the agencies they've already acquired(04:40) Selling for $20M and keeping $10M: fees, taxes, and cash at close(05:10) The legacy alternative: selling 4% of your agency to your team every year at about half the multiple(07:15) John Bond's first rule: don't chase small opportunities(07:50) Recruiting talent from outside your city to build loyalty and culture(08:41) Small equity grants (1–3%) to retain your leadership teamKey takeaways for agency owners:Treat the cash at close as your real exit number. The earnout is upside, not a guarantee.Before you sign, ask the buyer's past acquisitions what percentage of their earnout they actually received.Selling equity to your team gives up some of the multiple but keeps cash flow and your best people.Small equity stakes for non-COO executives can align incentives far better than salary alone.Mentioned in this episode: John Bond, John Augenblick, Matt Paulson, 8 Figure Exit LiveNext event: 8 Figure Exit Live returns in March or April 2027. Email [email protected] to get on the list.

Get out of agency ops. Go here: 8figureagency.co "It costs my clients more to churn — so they never do." A client of mine said that to me this week, and he might have the best agency offer I've ever seen. He's an investment banker who built a lead generation agency that finds off-market deals for private equity firms — proprietary deal flow the PE firm's competitors never see. The model: a seven-figure subscription business, plus a 2% success fee when a deal closes. And here's why his clients never leave — the retainer is a rounding error against the capital PE firms deploy, but missing one deal costs them millions. When churning costs your client more than staying, retention stops being something you fight for. In this episode, I break down how the whole thing works — and what it teaches every agency owner about offer design.

Tim Keen, an agency founder, marketer, and software builder with a successful exit, tears apart a viral lead-generation funnel live. They explore proof-driven landing page copy, the “two beers” test, thank-you pages that book calls, smoother qualification and calendars, and the friction hiding in registration flows. They also debate GoHighLevel, custom software, attribution, and when building beats buying.

A founder recounts shrinking a 40+ person agency into a 3-person AI-native team and why now is the moment to scale with automation. He outlines hyperscoped sprints, golden cases, and QA loops that make AI systems self-sustaining. He contrasts vibe coders with 10x engineers and wrestles with the build-versus-buy decision after encountering an AI SDR.

Cameron LiButti, founder of BidView Marketing and former engineer turned SEO leader for medical, legal and professional services. He explains crawl budget and why blasting dozens of AI posts can get a site de-indexed. He outlines a careful publishing ramp, Google’s non-commodity content standard, and practical off-site citation tactics to build sustainable AI-driven SEO.

Venture capital is pouring into the agency world because of AI — and Jordan sits down with one of the founders at the front of that curve. Jason Hu (UChicago '22, ex-AI researcher, a16z-backed) built Nexad, an AI-native platform for marketing agencies that wraps every major model and 1,000+ integrations into one command center. They cover the three archetypes of AI adoption in agencies, a live demo of creative generation, account health audits, and bulk campaign operations, how Nexad auto-routes between models like Claude, GPT, and Kimi K3 based on daily benchmark evals — and why Jason believes agencies will thrive, not die, in the AI era.Key TakeawaysThe three AI-adoption archetypes: (1) the unfamiliar — heard the buzzwords, only ever used ChatGPT as a chat; (2) the majority — using point solutions (creative gen, one-off agents) but not chaining them into agentic workspaces; (3) the frontier — operators running 20+ agents simultaneously. Each has different pain points; the platform meets all three where they are.The "impossible to keep up" problem: New models ship weekly. Nexad positions as a wrapper and router — an internal eval system runs each new model against ~30 representative agency tasks (health checks, complex campaign ops, long-running tasks) and auto-selects the best cost/performance option daily.Real routing example: Within an hour of Kimi K3's launch, their evals found performance comparable to Claude Opus 4.8 at roughly half the cost — so mid-tier traffic was rerouted automatically. Users pick a tier (Light / Pro / Max), not a model.The agent = a marketing employee's loop: ingest inputs (client comms, ad platform data from Meta/Google/TikTok/GA4, competitor intel), process (analysis, creative generation), output (campaign changes, uploads, client-ready reports). The demo covered competitor creative teardowns, a shareable account health audit, and bulk-uploading 100 creatives to Meta.Guardrails for sensitive actions: budget or creative changes trigger explicit review-and-approve prompts and batch action review — a contrast Jason draws with running raw agents that can "go rogue" in the backend.Client context is the killer feature: the platform reads Slack, Gmail, meeting transcripts, and Drive to build persistent client context ("no logos in creatives") that agents apply automatically — over 50% of agency hours go to client communication, and this attacks that directly.Chat first, automate second: typical adoption path is playing in the chat interface, then converting proven outputs into scheduled automations (e.g., daily health check → Slack report) in about 10 seconds.The closing thesis: AI commoditizes the execution layer of agency work. What remains — and becomes the whole game — is creativity, client trust, and proprietary market insight. Agencies thrive in the AI era; they don't disappear.Resources & LinksNexad: nex.adJason Hu on LinkedIn: linkedin.com/in/qitian-huWork with Jordan: 8figureagency.co

An urgent warning about AI-powered competition threatening sub-$3M agencies. Two stories contrast a stuck 16-year incumbent and a fast-learning entrant who built an agentic SEO/SEM machine in weeks. Discussion of how AI cuts the barrier to entry from skill to time and how one person can run dozens of accounts. Focus on systems gaps and what remains as true moat: strategy, people, and brand.

Jordan breaks down three shifts reshaping AI operations for marketing and ad agencies — and the expensive mistake agency owners are making right now. Why paying a consultant to build your "company brain" is the wrong move (and what to do instead), the affiliate-model agency software wave that monetizes your token and ad spend, and the orchestration shift that turns agencies into McKinsey-style consulting firms where one strategist manages $2M+ in client revenue.Timestamps00:05 — Who this is for + 8 Figure Agency's track record (1,000+ agencies served since 2019)01:30 — The $2M EBITDA founder who spent two months on a "brain product" and has nothing to show02:19 — Update 1: What a context window actually is, and why hallucinations happen04:27 — The 2027 prediction: funded brain products from serious Silicon Valley founders (all still in beta)07:00 — What to do instead: GitHub, organized folders, skills — stay portable, don't overcommit08:26 — Update 2: The affiliate-model agency platforms coming for a cut of your token and ad spend (full interview drops next episode)10:12 — Update 3: Loops, human-in-the-loop QA, and the December 2025 agency already running creative autonomously11:54 — The new economics: pay a killer strategist $300K to manage triple the revenue12:40 — Why 8FA is going boutique mode13:52 — Work with Jordan + 8 Figure Exit LiveKey takeawaysDon't pay anyone to build your company brain in 2026. Host client context in organized GitHub folders and skills, stay portable, and migrate when a dominant brain product emerges.If you're still manually running reports, writing briefs, and checking PM tools — start there. Efficiency first, then capacity.The next software wave makes money on your token spend and ad spend, not the license. Understand the model before you commit your operations to it.Loops are already running agency delivery. When production automates, you get hired for taste and strategy — so start building skills and agents now, then learn to orchestrate them.

Matt Putra runs Eightx, a fractional CFO firm for consumer goods companies. He is not a marketer. He is not technical. And in about 60 days, using Claude, he took his site from roughly 3,000 impressions a day to 76,000 — indexing 20 blog articles a day and beating "old school" SEO agencies who don't even know it's happening.In this episode, Matt screen-shares the exact marketing hub he built and walks Jordan through the whole stack: the DataForSEO audit loop, the 40+ MCP data connections, the parallel-agent writing pipeline, the Pinecone vector database of three years of client calls that clones his voice, and the PR/backlink play he's running next. If you own a marketing agency and you're not doing this yet, consider this your wake-up call.The uncomfortable takeaway for agency owners: a CFO with no marketing background is out-executing full SEO agencies — because he's willing to spend the tokens and do the volume no agency will.What You'll LearnWhy AEO/GEO (answer/generative engine optimization) is a wide-open gold mine right now, and why most SEO agencies are still playing the old gameThe exact starting point: rebuild the site with Claude, hand Claude a DataForSEO key ($200/mo), and knock out the audit listHow to run competitor audits and 45-day SEO sprints that finish in 9 daysThe technical-SEO checklist Claude gave him: llms.txt, llms-full.txt, robots.txt, and schema (FAQ, datasets, breadcrumbs) as "formatting for AIs"How to index 20 articles a day without getting flagged as thin/templated contentThe content pipeline: 40+ MCPs into free data sources (SEC EDGAR, census.gov, World Bank, OECD, national stats) for genuinely valuable postsDynamic workflows / parallel agents — up to 50 agents writing and reviewing at once (~5–6M tokens per 10 articles)The voice engine: a Pinecone vector DB of 3 years of Fireflies call transcripts (~10–12M words), with oversized chunks for richer retrieval, so Claude "interviews" his own past words for every articleWhy PR/backlinks (Forbes, WSJ) are the next authority moat for GEO — and how he's using HARO/Connectively to startThe real economics: ~$400/mo in tokens (Claude Max 20x) against $6–8K CFO retainersChapters / Timestamps — Intro: who is Matt Putra and what is Eightx — The "marketing hub" and why visibility is the whole game now — Two months in: crushing competitors in the LLMs and GEO — Tour of the hub (PR, blog, news signals, trends, Reddit, newsletter, socials) — The #1 ROI channel: the native blog — How a non-technical founder learned SEO from scratch (a Hampton tip + Claude) — DataForSEO for $200/mo, and a 45-day sprint finished in 9 days — The results: April to July, ~3K to 76K impressions/day — Capturing the traffic: RB2B, Apollo, and the NoLeadLost widget — Technical SEO: llms.txt, robots.txt, and schema for AIs — Indexing 20 articles a day (and why it takes ~30 days to start) — Getting Claude to write content Google actually indexes — The writing pipeline and 40+ MCP data sources — Show-and-tell: Claude Code in VS Code — The cost: Claude Max 20x, ~$400/mo in tokens — Building skills and reviewing the early (bad) drafts — Dynamic workflows: up to 50 agents in parallel — CFO retainer economics that justify the spend — The voice engine: a vector DB of 3 years of client calls — Chunking theory and RAG, explained simply — Channel #3: PR and GEO via Connectively (HARO) — The next play: backlinks and a Forbes/WSJ authority moat — Where to find Matt + wrapTools & Resources MentionedClaude Code (in VS Code) — the primary build environment for the whole systemClaude Max 20x — the subscription tier covering ~$400/mo of token usageDataForSEO — pay-per-call SEO data ($200/mo) handed to Claude via APIPinecone — vector database storing 3 years of call transcripts for voice/RAGFireflies — call recording/transcription source for the voice databaseNetlify — site hosting (migrated off WordPress)Connectively (formerly Featured / HARO) — PR question sourcing for backlinksApollo / RB2B — visitor identification and enrichmentNoLeadLost.com — the ~$99 site widget Jordan recommends for booking callsMCP data sources — SEC EDGAR (10-Ks/8-Ks), census.gov, World Bank, OECD, national statistics officesConcepts worth Googling: AEO, GEO, schema markup, chunking, RAG, dynamic workflowsConnect with Matt PutraFirm: Eightx — fractional CFO for consumer goods companiesBlog (called a "gold mine" in the episode, with a chatbot trained on all his content): eightx.co/blogWant help building this or something like it for your agency?Go to 8figureagency.co to book a call

Get the Fable 5 Set up guide: https://value.8figureagency.co/fableMost of the agencies you're competing with are already AI-forward. In this solo episode I give you a straight update on where AI actually stands for marketing agencies in summer 2026: what's changed in the last quarter, what's now table stakes, and the new economics it opens up.The headline shift: you no longer need 125 clients and a bloated team to profit $1.5M a year. With skills, cron jobs, and a lean two-person setup, 40 clients can do it, and your life gets better, not worse. I think we're about to see a wave of lifestyle entrepreneurship unlike anything before it.In this episode:Why 50–60% of agencies are already AI-forward, and the real cost of falling behindHarnesses and loops: agents now running 12–30 hours straight with no human interventionAI strategist agents that set benchmarks and pace campaigns (the SEO-for-law-firms example)What a "skill" actually is, and why it went mainstream in Q1 2026Cron jobs and content briefing: running repeatable client work on a scheduleThe new math: $1.5M profit on 40 clients vs. the old $7.5M / 125-client grindMy own story: from a $13M holding company to three lean companies, plus making Lead Whisperer fully autonomousThe domain-expertise goldmine: how a $2M ad agency built 99%-margin software for its own clientsFractional COO + fractional AIO: how I can helpTakeaways:Skills and cron jobs are the floor now, not the ceiling. Turn keyword research, briefing, and on-page into files an agent runs on a schedule.The lifestyle agency is real. One $300K strategist plus one AI-pilled associate can run 40 accounts.Old way to $1.5M profit: ~$7.5M revenue, ~125 clients, a big team. New way: 40 clients and a lean stack.Your domain expertise is the edge. The problems only you can see in your niche become high-margin products.The window is now. AI improves on quarterly cycles, so early movers compound.Links:Work with me (fractional COO + fractional AIO): 8figureagency.coBook a call (I keep very little availability, usually booked ~2 weeks out)Off-market lead syndication: lead-whisperer.comReach me directly: [email protected] (my Hermes agent reads it first, then I do)