We’re growing at Market Brew. We’re hiring another Technical SEO & AI Visibility Specialist to help expand our services arm and work directly with enterprise brands on some of the hardest problems in search. Technical SEO. AI Overviews. GEO. Semantic search. Entities. Embeddings. AI visibility. 📍 Medina, Ohio 🏢 Full-time, on-site 💰 $85K+ based on experience Know someone who should be on our team? Send them our way. linkedin.com/jobs/view/44574…

Not every word earns a spot. In Market Brew’s Market Focus model, stop words get removed before phrases are built. Here, “the” and “of” fade from “the art of baking bread,” leaving only the topic words behind.

Which image link wins when they’re on the same page? Often, the bigger one. Market Brew’s Link Area algorithm penalizes image links that are smaller than the others around them. This clip isolates why.

Top of the page BEATS bottom of the page. Market Brew’s Link Order algorithm reads the rendered page and gives links near the top the smallest penalty. It isolates position alone, so it’s a signal, not a guaranteed ranking gain.

A link is a promise about what’s on the other side. In Market Brew’s model, anchor text that doesn’t match the destination gets a relevance penalty. “Coffee brewing guide” fits a coffee page. “Hiking boots” doesn’t, and the model notices. 🔎

Search doesn’t read word by word. It reads in phrases. Market Brew’s Market Focus model groups page text into three- and four-word phrases, like “light roast coffee” and “best light roast coffee,” so your content is understood the way it’s actually searched. See what your pages are really saying 👉 marketbrew.ai

Where a link sits matters. In Market Brew’s model, the Editorial algorithm penalizes links outside a page’s main content. Here, the same link moves from the footer into the content.

Apple. Pear. Peach. Three entities, one parent: fruit. Market Brew’s Spotlight Focus model uses those shared parent entities to form a page’s topic cluster, so your content reads as one coherent topic, not scattered terms.

AI is decompiling everything. Search engines? Still a black box. Market Brew uses a generic search engine and particle swarm optimization to learn factor weights from observed results. Google, Bing, ChatGPT. Built on patented search modeling. marketbrew.ai

Search doesn’t need the exact word to make the connection. “Connects,” “connected,” “connecting” all trace to one root. Market Brew’s Market Focus model uses Porter stemming to match incoming anchor text across every form, not just exact matches.

“Ford” can mean a car company or a U.S. president. Market Brew’s Spotlight Focus model uses page context to identify which entity the content means. #SEO #SemanticSEO

What if the words linking to your page matter as much as the words on it? In Market Brew’s Market Focus model, incoming anchor text adds weight to matching phrases on the destination page. The internet is labeling you. The question is whether it’s labeling you right.

Google just put REAL numbers on something SEOs have always felt: changes take ages to show up. From Gary Illyes' own slides: New URL discovered: ~20 hours, or never Indexing end to end: ~1.5 hours to months Core update recovery: 3 to 6 months That's the wait. Market Brew lets you model the outcome before you sit through any of it. Test now! Don't wait on the crawl.

The most expensive assumption in marketing right now. AI decides who gets found, and it's not always the best product. → marketbrew.ai

In our latest video, we break down semantic triples without all the technical jargon, and explain what they actually mean for the way you create content. Turns out your English degree might not be completely useless after all.

See your site the way a search engine does. Most SEO tools track rankings and flag issues. Market Brew models your content, links, and relevance to show why pages compete and what to test next. → marketbrew.ai

We checked 134 pages that were losing to competitors. 📃🤔 In 46% of them, the losing page had a passage that answered the query just as well as the winner's best line. It still lost. This is BECAUSE the rest of the page around that great answer was weaker, and dragged the whole page down. A great answer isn't enough if the page around it is weak.

Half the industry updated their title to "GEO expert" this year. The other half is still pretending they know what their centroid is. No judgment. Okay, a little. But WE can help you find your centroid! 🦸‍♂️🗺️

AI search punishes hedging. Brands water down their message to appeal to everyone. But "we do a bit of everything for all kinds of clients" gives AI nothing to hold onto. The brands AI describes clearly are the ones brave enough to be specific about who they're for. Vague is invisible.

Google's new SAFE research has the SEO world asking "can Google detect AI content?" 🤔 Wrong question.❌ SAFE investigates whole clusters of synthetic media: the content, the publishing behavior, and the relationships between channels, weighed together. A single page is hard to judge. A network publishing in synchronized bursts tells a different story. To be precise: the paper does NOT establish SAFE as a ranking signal or part of a spam update. Treating it that way turns research into rumor. From Market Brew's view, the principle is familiar: outcomes get easier to explain when you model the system around a page, not score the page alone. Examine the pattern, not just the artifact.