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        AI seo Tag
        HomePosts Tagged "AI seo"

        Tag: AI seo

        Google Used to Send Traffic. Now It Gives Answers.
        SEOAI
        May 12, 2026By Doug Saltzman

        Google Used to Send Traffic. Now It Gives Answers.

        For about 20 years, getting found online meant the same thing.

        Show up in the ten blue links on page one and hope someone clicks. We built entire strategies around that concept. Keywords, page authority, backlinks, position tracking. The whole industry ran on it.

        That mechanic is breaking down and the shift happened faster than most people realize.

        Google, ChatGPT, Perplexity, and every other major search surface are increasingly answering questions directly instead of sending people somewhere to find the answer. One response at the top of the page with a handful of cited sources underneath it. While not yet obsolete, the click is becoming a secondary habit. The citation is what matters now.

        If your content isn’t structured in a way these systems can extract from, you may never get either.

        What actually changed

        The old game was about popularity.

        Domain authority, backlink count, how many people were pointing at your site. Those signals still definitely matter but they’re no longer the deciding factor for whether an AI system uses your content in a response.

        What these systems are actually looking for is clarity and structure. Can they find a direct answer to the question in your content without having to read the whole page? Are you naming specific things like tools, frameworks, people, and data points instead of gesturing at categories? Is your site set up in a way the system can actually parse?

        A well-structured page from a smaller site will get cited over a vague page from a high-authority domain because the model needs something it can use, not something that’s technically impressive.

        The three things that actually help

        The first is writing for extraction instead of reading.

        Every section of your content should open with a direct answer to whatever the heading promises. Not a buildup, not context-setting, a straight answer in the first two or three sentences. Models chunk content and they pull from the clearest, most direct blocks they find.

        The second is naming specific things.

        If you’re writing about marketing strategy and you say “leading CRM platforms” instead of “HubSpot, Salesforce, and Pipedrive,” you’re giving the model nothing to work with. Specificity is what lets these systems build a picture of whether you actually know what you’re talking about.

        The third is structured data.

        This is the one most small teams skip because it sounds technical and optional. It’s neither. Schema markup is essentially the language AI systems use to read your site’s logic. If it’s messy or missing, you’re invisible to a layer of the system that’s becoming more important every quarter. It’s not complicated to implement but it has to be done right.

        What this means for how you think about content

        The brands that are going to stay visible as search continues to shift are the ones treating their content like a data asset instead of a publishing calendar. Every piece should be structured to answer a specific question clearly, reference specific entities, and make it easy for a system to understand what you’re an authority on.

        That’s a different brief than “write a blog post about X.” Just remember it’s not harder, it’s just a different mental model.

        The good news is most of your competitors haven’t made this shift yet. The window to build a meaningful advantage here is open but it won’t stay open forever.

        This is a core part of what we do for clients at And Zeros. Auditing how your brand reads to AI systems and fixing what’s broken. Get in touch if you want to know where you stand.

        Read More
        You’re Not Ranking. You’re Being Indexed.
        SEOAI
        April 21, 2026By Doug Saltzman

        You’re Not Ranking. You’re Being Indexed.

        If your SEO strategy still involves a spreadsheet of keywords and a density percentage, you are optimizing for a version of the internet that no longer exists.

        In 2026, the gap between keyword-centric and entity-centric optimization has become a divide. Search engines don’t match strings anymore, they comprehend concepts. They don’t count how many times you say a word, they measure the salience of your entities.

        What is Entity Salience?

        Salience is a technical score (usually between 0 and 1) that an algorithm assigns to a specific person, place, or concept within your content. It’s a measure of how central that thing is to the meaning of your page.

        Google and the LLMs (Perplexity, Gemini, etc.) aren’t just scanning for the phrase “GTM strategy.” They are looking for the surrounding entities that prove you actually know what a GTM strategy is. Here’s what they’re actually looking for.

        • The Connective Tissue:
          Are you mentioning Customer Acquisition Cost, LTV, and Sales Velocity in the same breath?
        • The Hierarchy:
          Is your primary entity in the H1, or is it buried in the 3rd paragraph?
        • The Semantic Net:
          Are you providing enough attributes (founding dates, specific frameworks, proprietary data) for the machine to verify you aren’t just hallucinating?

        The Logic of the Knowledge Graph

        This is where the And Zeros philosophy hits the metal. Think of the internet as one giant knowledge graph… a web of nodes and relationships.

        When you publish a page, the goal isn’t to rank. The goal is to be indexed as a definitive node.

        If your content is vague or uses AI-slop adjectives, your salience score drops. The machine can’t figure out if you’re an authority or just a noise generator (but email me if you want to nerd out on noise generators.) If you use Structured Data to explicitly declare your entities, you are handing the machine a map. You’re telling it, “This node is the Founder, this node is the Framework, and they are connected by this Relationship.”

        Engineering for Extraction

        In the era of GEO (Generative Engine Optimization), you have to write for extraction. AI models don’t read your whole article; they chunk it.

        • The Answer-First Block:
          Start every section with a 50-word direct answer to the heading. This increases the salience of the entity in that section and makes you 10x more likely to be cited in an AI Overview.
        • Topical Integrity:
          Stop writing scattered posts my friend! If you want to own a topic, you have to build a cluster. 1 pillar page (the hub) and 10 supporting pages (the spokes). This tells the system that your domain isn’t just a site, it’s a topical authority.
        • Entity Resolution:
          Use consistent naming. If you’re “Samantha Smith” on your blog but “S. Smith” on LinkedIn, you’re making the machine work too hard. Consistency is a trust signal.

        Stop Counting, Start Connecting

        The Keyword Era (RIP) was about volume. The Entity Era is about Density and Relationship.

        If you provide the cleanest, most interconnected data, the gatekeepers will have no choice but to use you as their source. You aren’t just playing the game anymore, you’re providing the board.

        In case you haven’t figured it out yet, SEO isn’t dead—it’s the future. And that future is built on entities, not strings.

        Read More
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