Mic King

You gotta engineer the life you want. Otherwise you're just accepting what they give you.

Dropping 3 albums on the same day is emotional abuse.

This baby went from sad/confused to absolute JOY the second those glasses went on. First time seeing the world clearly. That smile says everything. ♥️ Heart = melted. Who else is obsessed with these moments?

@scott_stouffer @HubSpot @mktbrew You rebuilt HubSpot?

I have just completely re-written 90% of @HubSpot for my team @mktbrew. In the past 48 hours. It also has chrome extensions that each team member runs for a fully distributed lead sourcing system, an autonomous research agent that executes on that intake pipeline, does hundreds of API data calls to gather its data about each prospect, classifies it into our prospect / lead buckets, creates the sales tasks, generates the talking points / background, and gamifies the entire system in weekly team emails. In 48 hours.

And there you have it!

My guy @Nickeubanks just dropped a new book. I'm bout cop that right now. You should too.

Just tell me where to shop for these garments.

@9thwonder Word @Rosenbergradio was hosting emcee battles at UMD-CP and shit. Son has BEEN valid. Shout out to @seezmics @kcromozone and them.

And sure enough, one of the kids was Peter Rosenberg, at the University of Maryland….who along with GW’s radio station, Duke, NC State….so many White kids around the country that were fighting tooth and nail to get music like Little brother out and noticed…

The whole Peter Rosenberg tis a culture vulture thing is wild to me….

@JHTScherck WOOOOOO!

Jesus, I see what you've done for other people, and I want that for me.

I use metaphors, similes, and big numbers.

@jdevalk @benwills Great to hear from you Joost. First time since I sent you an invite you never responded to. 😆

@benwills @iPullRank So. Let’s be clear I both love and respect Mike. But he’s not the first to think about this. He’s the first to write about it from the mainstream SEO crowd, and we’ll see as to whether it catches on 😉

This reminds me of when @iPullRank broke the research that GoogleBot uses a headless browser. Not surprising Mike's going to be the first to getting people to think of AI bots this way. Related: all that code you're proud of that you've got an LLM to help you with? They've now got all your novel solutions, too...it's quite the conundrum.

ICYMI. 👇🏾

.@iPullRank today: Googlebot renders JS. Most LLM crawlers don’t So if AI systems are scraping your original research, why make it easy? → JS cloaking for LLMs → Markdown for AI retrieval → Protecting information gain ipullrank.com/cloaking-for-l…

You can find me at #mozcon NYC in July. More details 👉🏾 moz.com/mozcon

@SERP_recon Shouldn't you be trolling from @wtfseo instead?

@iPullRank So, like AMP? 🤣

New post from yours truly. The Case for Cloaking for Large Language Models. ipullrank.com/cloaking-for-l… *Cue outrage.*

Data over everything.

Seems like every AI model has a different vocabulary. A "skill" on Claude is a "Gem" on Gemini, etc. etc. I have a little cheat sheet I use, and I turned it into a page. Feel free to steal (with appropriate citation) as needed. Check it out: ianlurie.com/ai-model-cheat…

Christopher Nolan has long cited Michael Mann's 1995 crime epic Heat as an inspiration for The Dark Knight (2008). Here is how Heat inspired The Dark Knight. #filmtwt

Google doesn't give us good data on AI Overviews, so thank goodness for the folks out there publishing studies. AI Citation Ranking Factors Analysis signal.zyppy.com/p/ai-citation-… AI Overviews Reduce Clicks by 58% ahrefs.com/blog/ai-overvi… AI Overviews vs. Blue Links: Which Really Drives Clicks? saltbox.solutions/ai-overviews-v… AIO Impact on Google CTR: 2026 Update seerinteractive.com/insights/aio-i…

I spent the last 3 weeks running what might be the most comprehensive LLM ranking factors analysis to date. 29,562 unique domains tracked and scored across 145 industries, 1,595 buyer personas, and 105k+ ChatGPT prompts. Over 500TB of data, and 12 external signals correlated against rank-weighted LLM recommendation scores. This is a large-scale correlation study: what external signals actually predict whether a brand gets recommended by ChatGPT, across 145 industries and 1,595 buyer personas. -- Research Process 145 industries from 500 candidates. 11 personas each (10 targeted + 1 neutral). 25 runs per persona, rank-weighted scoring. 29,562 unique domains tracked. Data collected: - Common Crawl: 1.15B pages, domain mentions + phrase co-occurrences - Reddit: 5B+ posts and comments scanned - Google Search: 15,697 queries, top 100 results; 1.5M+ results captured - SERP HTML: parsed for outbound links and phrase presence - Wikimedia: 300M+ Wikidata entities + Wikipedia citations - Backlinks (Common Crawl Web Graph): PageRank + Harmonic Centrality; 4B+ - Top Site Homepages: parsed for persona-specific phrases -- Analysis Process 13 signals per domain. Spearman ρ vs. LLM recommendation score, per-industry and globally. R² shows variance explained. Lift measures over-representation in the top 10% most-recommended domains. Tiered: Dominant (ρ ≥ 0.30) down to Baseline (< 0.05). -- Key Findings SERP appearances, SERP rank, and outbound links from search results pages are the three strongest signals. Traditional SEO is the dominant measurable influence on LLM recommendations. Backlink authority (PageRank, Harmonic Centrality) follows. Combined, these point to one thing: established search authority drives LLM visibility. Signal hierarchies vary by industry. Wikidata dominates in established categories (hotels, ERP, furniture). Reddit drives community-driven ones (enterprise AI, live entertainment). No universal strategy. 80–85% of recommendation variance is inside the model. All external signals combined explain under 20%. You cannot infer LLM visibility from search rankings; you have to test it directly. -- The Two Conclusions That Matter 1. SEO is the foundation. OpenAI is using search data today and building their own index. As that matures, the connection between search authority and LLM visibility deepens. Traditional SEO principles are not obsolete, they're the starting point for LLM visibility too. 2. Persona is the measurement unit. The #1 airline for a frequent flyer is a different site from the #1 for a student flying abroad. Same model, same industry, different person, different result. You don't have one LLM rank, you have a rank per buyer segment. Monitor by persona or the number is meaningless. -- Full Report and data for all 145 industries and 1,595 personas available here: oppalerts.com/LLM-Ranking-Fa…