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 β 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 β because he's willing to spend the tokens and do the volume no agency will.
What You'll Learn
Why AEO/GEO (answer/generative engine optimization) is a wide-open gold mine right now, and why most SEO agencies are still playing the old game
The exact starting point: rebuild the site with Claude, hand Claude a DataForSEO key ($200/mo), and knock out the audit list
How to run competitor audits and 45-day SEO sprints that finish in 9 days
The 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 content
The content pipeline: 40+ MCPs into free data sources (SEC EDGAR, census.gov, World Bank, OECD, national stats) for genuinely valuable posts
Dynamic workflows / parallel agents β up to 50 agents writing and reviewing at once (~5β6M tokens per 10 articles)
The voice engine: a Pinecone vector DB of 3 years of Fireflies call transcripts (~10β12M words), with oversized chunks for richer retrieval, so Claude "interviews" his own past words for every article
Why PR/backlinks (Forbes, WSJ) are the next authority moat for GEO β and how he's using HARO/Connectively to start
The real economics: ~$400/mo in tokens (Claude Max 20x) against $6β8K CFO retainers
Chapters / Timestamps
β Intro: who is Matt Putra and what is Eightx
β The "marketing hub" and why visibility is the whole game now
β Two months in: crushing competitors in the LLMs and GEO
β Tour of the hub (PR, blog, news signals, trends, Reddit, newsletter, socials)
β The #1 ROI channel: the native blog
β How a non-technical founder learned SEO from scratch (a Hampton tip + Claude)
β DataForSEO for $200/mo, and a 45-day sprint finished in 9 days
β The results: April to July, ~3K to 76K impressions/day
β Capturing the traffic: RB2B, Apollo, and the NoLeadLost widget
β Technical SEO: llms.txt, robots.txt, and schema for AIs
β Indexing 20 articles a day (and why it takes ~30 days to start)
β Getting Claude to write content Google actually indexes
β The writing pipeline and 40+ MCP data sources
β Show-and-tell: Claude Code in VS Code
β The cost: Claude Max 20x, ~$400/mo in tokens
β Building skills and reviewing the early (bad) drafts
β Dynamic workflows: up to 50 agents in parallel
β CFO retainer economics that justify the spend
β The voice engine: a vector DB of 3 years of client calls
β Chunking theory and RAG, explained simply
β Channel #3: PR and GEO via Connectively (HARO)
β The next play: backlinks and a Forbes/WSJ authority moat
β Where to find Matt + wrap
Tools & Resources Mentioned
Claude Code (in VS Code) β the primary build environment for the whole system
Claude Max 20x β the subscription tier covering ~$400/mo of token usage
DataForSEO β pay-per-call SEO data ($200/mo) handed to Claude via API
Pinecone β vector database storing 3 years of call transcripts for voice/RAG
Fireflies β call recording/transcription source for the voice database
Netlify β site hosting (migrated off WordPress)
Connectively (formerly Featured / HARO) β PR question sourcing for backlinks
Apollo / RB2B β visitor identification and enrichment
NoLeadLost.com β the ~$99 site widget Jordan recommends for booking calls
MCP data sources β SEC EDGAR (10-Ks/8-Ks), census.gov, World Bank, OECD, national statistics offices
Concepts worth Googling: AEO, GEO, schema markup, chunking, RAG, dynamic workflows
Connect with Matt Putra
Firm: Eightx β fractional CFO for consumer goods companies
Blog (called a "gold mine" in the episode, with a chatbot trained on all his content): eightx.co/blog
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