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Tech SEO Connect · Live Notebook

Tech SEO Connect 2024

October 18, 2024 RaleighAttendedOfficial site

A one-day deep-dive into technical SEO in Raleigh, NC. Sixteen sessions on Core Web Vitals, embeddings & vector search, GSC limits, BigQuery pipelines, machine-learning workflows, and how to actually ship technical recommendations inside large orgs. Attended in person — these are my notes.

Days1
Sessions19
Speakers18
Hours8

Agenda · 4-Day Timeline

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Friday, October 18, 2024

Tech SEO Connect 2024

Sixteen back-to-back technical SEO talks: Core Web Vitals, embeddings, BERT vs Word2Vec, BigQuery for SEOs, GSC bulk export, automation pipelines, and the perennial human problem — getting recommendations actually shipped.

9:00 AM

9:45 AM

keynote

Optimizing Core Web Vitals

Rick Viscomi

Core Web Vitals DevRel, Google

Rick on the FID→INP transition (mobile pass rate jumped 65%→76%), and the practical playbook: prioritize critical resources, leverage BFCache, set CSS aspect-ratios for CLS, break long JS tasks, adopt RUM not Lab.

  • INP launched successfully — community awareness drove 11pt mobile pass-rate lift
  • Make LCP discoverable — no background-image hero, no loading=lazy, use fetchpriority=high
  • CLS fix: aspect-ratio CSS + BFCache for instant nav
  • RUM > Lab data for diagnosing real INP problems
My Notes

Notes will appear here once published.

9:45 AM

10:30 AM

talk

NPath: Leveraging LLMs to Extract Insights from GA4 Event Data

JR Oakes

VP of Strategy, LOCOMOTIVE Agency

Empath + NPath: open-source pipelines that crawl GA4 + GSC + PageSpeed at intervals, feed data into LLMs, and email alerts on significant pattern shifts.

  • LLMs with M-token context can extract hidden patterns from event sequences
  • Empath uses genetic-algorithm sequence analysis on GA4 events
  • NPath = open-source automated alerts for traffic / next-page / performance drops
My Notes

Notes will appear here once published.

10:30 AM

11:15 AM

talk

Getting Technical SEO Work Done at Fortune 100 Companies

Kevin Indig

Growth Advisor, Hims · Dropbox · Reddit

The SEO 'Ship Show': <50% of recommendations get implemented. The fix isn't more data — it's story-based pitching, three-priority focus, and explicit risk framing.

  • Story > data — execs decide on instinct + emotion
  • 3 priorities per pitch, not 30
  • Deep recommendations with subtasks beat shallow 'fix indexation' notes
  • Lead with risk, not reward — what happens if we DON'T do this
  • Back-channel before the big meeting — use their wording
My Notes

Notes will appear here once published.

11:15 AM

12:00 PM

talk

Gaining Velocity: Building SEO into a Continuous Development Process

Rachel Anderson

Senior SEO Manager, Weedmaps

Reactive SEO firefighting → proactive 4-prong fix: automated SEO tests in CI/CD, SEO sign-off on PRDs, JIRA tag-gating high-risk tickets, engineering education. Result: high-impact regression bugs cut in half.

  • Automate SEO checks inside the CI/CD pipeline (canonical, H1, hreflang)
  • Add Googlebot user stories + acceptance criteria to every PRD
  • JIRA tag → SEO QA review → blocks deploy if skipped
  • Educate engineers on crawl/render/index — make SEO their concern too
My Notes

Notes will appear here once published.

12:00 PM

12:45 PM

talk

Improving SEO in Cloud Environments

Fili Wiese

SEO Consultant · Ex-Google Engineer

60% of the web is duplicate content — and cloud environments make it worse. Staging subdomains, CDN canonicals, serverless cold starts, and load-balancer URLs all leak into the index.

  • Treat URLs like immutable database row IDs — never change them casually
  • Audit hostnames + subdomains regularly — Walmart staging was indexed
  • Log full URLs with protocols + subdomain — partial logs lie
  • Cloud Run / serverless: hard-code canonicals to defeat load-balancer leakage
  • Optimize TTFB + warm instances — cold starts hurt rankings
My Notes

Notes will appear here once published.

12:45 PM

1:30 PM

meal

Lunch

1:30 PM

2:15 PM

talk

Rolling Your Own Rank Tracking Solution

Paul Shapiro

Web Intelligence, Uber

Built Rank and Berry — open-source rank tracker on Python+FastAPI+Vue+SQLite. Why? Most platforms silo data and lock you out of customization.

  • Open-source rank tracker = full data control + customization
  • Backend Python+FastAPI, frontend Vue, SQLite for dev → Postgres for prod
  • Estimate Business Impact field — GSC CTR × your conversion rate × AOV
  • Roadmap: anomaly detection, algo update overlays, keyword clustering
My Notes

Notes will appear here once published.

2:15 PM

3:00 PM

talk

Chasing the Googlebot Trail

Jori Ford

CMO, FoodBoss

Crawling is the most underestimated lever in SEO. GSC's crawl stats only tell part of the story — heat-map Googlebot's entry points and identify dead zones.

  • Crawl total ≠ better — depends on site size and goals
  • Use DOM Content Load as response-time proxy (server-side metrics lie)
  • Heat-map Googlebot entry points to find content hubs vs dead zones
  • Auto-download crawl data with Apps Script + ChatGPT
  • GSC Host Status only flags after 90 days — too late
My Notes

Notes will appear here once published.

3:00 PM

3:45 PM

talk

When is Cloaking a Good Idea?

Victor Pan

Principal SEO, HubSpot

Cloaking isn't binary evil — strategic bot-side cloaking can save server load, fix GDPR-driven attribution, and improve Core Web Vitals without misleading users.

  • Block Googlebot from non-rendering JS (heatmaps, ad pixels) — saves crawl budget
  • Edge-compute different image sizes by device — bots get the canonical
  • GDPR consent + analytics: cloak parameter rewrite from Googlebot
  • Don't mislead users — same essential content for both
My Notes

Notes will appear here once published.

3:45 PM

4:30 PM

talk

Microsoft Bing — SEO for the AI Era

Fabrice Canel

Bing Product Manager, Microsoft

AI doesn't kill SEO — it diversifies it. Bing's index now powers ChatGPT, Perplexity, Yahoo, Meta. New Webmaster Tools Copilot, 16-month performance data, Deep Search.

  • AI clicks convert better than search clicks — track conversions not just clicks
  • IndexNow protocol = push updates instead of waiting to be crawled
  • Bing Webmaster Tools Copilot gives personalized SEO recommendations
  • Performance report extended to 16 months including AI-experience traffic
My Notes

Notes will appear here once published.

4:30 PM

5:15 PM

talk

How to Incorporate Machine Learning Into Your SEO Day-to-Day

Lazarina Stoy

Founder, MLOpsSEO

Practical ML for SEOs: text classification, keyword clustering, fuzzy matching, content moderation, transcription. Why fine-tuned models beat ChatGPT on precision tasks.

  • Supervised (regression/classification) for consistency — unsupervised (clustering) for exploration
  • Google NLP API > ChatGPT for entity extraction + classification (precision scores)
  • BERTopic > LDA for big-site topic clustering
  • Don't aim for perfection — aim for automation + human oversight
My Notes

Notes will appear here once published.

5:15 PM

6:00 PM

talk

Automating Marketing Tasks With AI

Kristin Tynski

Co-Founder & SVP Creative, Fractl

Content cost is heading to zero — value is unique data + journalism. Agentic frameworks, RAG, retrieval-augmented generation, and 25 automation scripts you can run today.

  • Future SEO standard = data journalism at scale, not generic AI content
  • RAG fixes hallucinations — ground the LLM in your sources of truth
  • One-input-many-outputs: blog → social posts → newsletter → product copy
  • Decreased organic traffic is real — adapt with original data + multimedia
My Notes

Notes will appear here once published.

6:00 PM

6:45 PM

keynote

Accounting for Gaps in SEO Software

MK
Michael King

Founder & CEO, iPullRank

Most SEO tools are stuck on TF-IDF and 'compare to top 20 pages.' Google moved to vector embeddings + dense retrieval years ago. The mismatch is why your tools lie.

  • Google uses site-level + author-level embeddings to score relevance holistically
  • Information Gain — how much NEW info your page adds vs the rest of the SERP
  • Hybrid retrieval: lexical + semantic = pages rank without keywords in title
  • DOJ leak confirmed click metrics influence rank — last longest click matters
  • Open-source SEO data initiative coming via Search Telemetry Project
My Notes

Notes will appear here once published.

6:45 PM

7:30 PM

talk

The Shift in Search Engines to Answer Engines

Dan Hinckley

CTO & Co-Founder, Go Fish Digital

Built Barracuda — an internal tool that scrapes competitors, embeds the data, and generates SEO insights. 4-hour audits → 4 minutes.

  • Vector embeddings DB = give LLMs accurate, retrievable grounding
  • Function calls fix LLM math/counting failures — let it call a calculator
  • Tell the model 'say I don't know' — error rates drop dramatically
  • Barracuda automates content gap, internal linking, alt text, topical authority
My Notes

Notes will appear here once published.

7:30 PM

8:15 PM

talk

AI + Me: How We Built a GSC Bulk Export Data Pipeline

Noah Learner

Director of Innovation, Sterling Sky

Built Branch Explorer + GSC Bulk Export pipeline using only AI (ChatGPT/Claude). The lessons learned about what AI does well and where it fails.

  • GSC Bulk Export = no row limits, full anonymized queries + search appearances
  • No backfill — start the export immediately if you ever might want the data
  • Custom GPTs for specific stacks (Cloud, WordPress, Apps Script) speed coding
  • AI fails on debugging cycles — be ready to take over manually
My Notes

Notes will appear here once published.

8:15 PM

9:00 PM

talk

Can GSC Be the Source of SEO Decisions?

Serge Bezborodov

CTO, JetOctopus

Forensic teardown of GSC's data accuracy. Aggregation type, anonymized longtail, and mobile/desktop mismatches make GSC unreliable as a sole truth source.

  • GSC interface caps at thousands of rows — API is mandatory for big sites
  • Aggregation by property vs page returns different impressions/clicks
  • Anonymized longtail queries can hide most of your traffic potential
  • Add subfolders as GSC properties — one client went 80K → 4M tracked pages
  • Cross-verify GSC with crawler + log files — never trust one source
My Notes

Notes will appear here once published.

9:00 PM

9:45 PM

talk

BigQuery for SEOs

Sam Torres

Chief Digital Officer, Gray Dot Company

BigQuery solves GSC's 16-month limit and Looker Studio sampling problem — at $10/month for most clients. Build aggregate tables, schedule them daily, connect Looker to those.

  • 10 GB free storage + 1 TB free queries/month = most clients pay <$10/mo
  • GSC site-level vs URL-level tables → different aggregation grains
  • Aggregate tables (pre-processed daily) save Looker Studio costs
  • Scheduled queries auto-refresh aggregates — connect dashboards there
  • Start small with the basic SELECT/FROM/WHERE/ORDER BY pattern
My Notes

Notes will appear here once published.

9:45 PM

10:30 PM

talk

What I Learned From Auditing Over 1,000,000 Websites

Patrick Stox

Product Advisor, Ahrefs

Most flagged 'issues' don't matter. Use impact-effort matrices, automate everything, embrace Edge SEO. Audit findings by ROI, not by checklist completionism.

  • Broken page with no traffic + no links = don't fix it
  • Multiple H1s, redirect chains under 5 hops, duplicate content = usually fine
  • 60% of the web is duplicate content — Google handles canonicalization well
  • Hreflang misconfig cost one e-commerce client $6.5M/day — DO check that
  • AI scripts that took 12-14h now take 45 min — embrace automation + Edge SEO
My Notes

Notes will appear here once published.

10:30 PM

11:15 PM

keynote

The State of Technical SEO in 2024

Aleyda Solis

Founder & International SEO Consultant, Orainti

Closing keynote. Where the discipline is heading: human factors still beat tooling, automation is now table-stakes, and the gap between recommendation and implementation remains the #1 blocker.

  • 40-60% of technical recommendations get implemented — that's the bottleneck
  • Tools have caught up; humans haven't
  • Forecasting + RICE prioritization to win exec buy-in
  • Tailored reports per stakeholder — not one-size-fits-all audits
My Notes

Notes will appear here once published.