Over the past year, companies began noticing a pattern: customers check information in AI assistants first — not on Google, not on websites. This changes how brands are discovered. If an assistant cannot explain your product, your positioning collapses at the very first touchpoint. This short breakdown explains how generative engines retrieve and rank information (2 min): https://www.youtube.com/watch?v=2Jya6Wru8P4 The main point: AI systems don’t “rank” pages — they surface brands based on clarity, structured signals, and consistency across sources. Data - The broader geo-marketing / location-intelligence market is projected to hit $21.4B in 2025 and grow to $147B by 2035. - 84% of marketers already use some form of AI-enhanced targeting and geolocation. - Technical analysis shows that AI assistants increasingly rely on structured data and external references rather than website content alone. This is already happening across SaaS, DTC, and services. One useful action to start: Ask ChatGPT, Gemini, and Perplexity the same simple question: - “Which companies help with [your category]?” - If your brand doesn’t appear — the assistant isn’t “confident” in you. - That’s the first signal to review your AI-visibility footprint.

I fell deep into the AI 2027 report by Daniel Kokotajlo’s research team: https://x.com/DKokotajlo Every section hits — China, computational resource races, even their version of “Skynet” (“OpenBrain Project”). But one concept pulled me in hard: misaligned AI. Here’s the clean definition: Misaligned AI = the system’s actions diverge from human or societal goals. It optimizes what it thinks is correct — even if that’s not what we actually wanted. Rules followed, outcome wrong. Why it matters: 1️⃣ Metric ≠ real goal. Tell a model to “minimize errors,” and it may pick a strategy that’s harmful or unethical but improves the metric. 2️⃣ Autonomy amplifies mistakes. If the system touches many processes at once, a wrong objective scales instantly. 3️⃣ No intent, strong optimization. It doesn’t need bad motives. Just optimizing the wrong thing is enough. Examples: • AI moderation blocks legal content “for safety.” • Recommenders push harmful material because it boosts retention. • Ad optimizers waste budget on irrelevant audiences because CTR looks higher there. If this interests you — or scares you — go read the report. It’s worth every minute. 👉 https://ai-2027.com/

GEO is exploding. New founders, new tools, new competitors — every single day. The market is still early, but the race has already started. If you want your product to show up inside ChatGPT and other AI assistants — this is not a “someday” channel. It’s already a marketing channel. The basics that work for any brand: - Add a clear FAQ page. - Clean up your site structure + schema. - Check how AI currently interprets your brand. And here’s the fun part: AI will literally tell you what it needs in order to start recommending you. I can turn that into a custom action plan for your brand. My deal with the community: - You: want to understand the channel that’s becoming the new default. - Me: give you the exact steps to improve your AI visibility. Right now everything is priced low because the product is still in testing (yes, automations broke yesterday — it happens). But everyone who buys even the smallest product gets a custom audit + instructions. If you don’t want to miss the biggest marketing shift happening right now — jump in: https://alenapro.com/visibilitypro

There’s a visibility gap in AI systems that’s costing brands real traffic. I’m opening early access to two things I’ve been building for months: All details here: https://alenapro.com/visibilitypro 1. Expert Guide (self-serve) A structured, juicy manual on how to: - check how your brand appears across AI systems (ChatGPT, Gemini, Perplexity, Claude) - clean up your digital footprint - fix visibility issues step by step - get your product recommended more often This is the exact workflow I use in client audits — adapted for solo founders and small teams. 2. Custom AI Visibility Audit (done-for-you) For those who want a full teardown: - your brand’s current presence across major AI systems - what AI “thinks” your product is - missing associations, entities, and trust signals - a priority roadmap of actions - final report you can hand to marketing, content, or dev No calls. Clear deliverables. Copy-Paste easy. 💡 Why this matters AI systems don’t “rank pages.” They build associations. If your brand isn’t structured, described, and supported correctly — it stays invisible. Both products help fix that. 🔗 Join early access All details here: https://alenapro.com/visibilitypro

A useful find from Reddit this week — and it perfectly explains why GEO is becoming non-optional for brands: 👉 Marketers are noticing that AI assistants now pull answers from entity-level signals, not from keyword-stuffed pages. Source: r/SEO thread on “AI replacing traditional ranking signals” (users report cases where brands with strong entity clarity outperform sites with stronger SEO). Quote from the thread: “Google’s system is still slow. But ChatGPT finds the brand with clean metadata + consistent external signals — even if its SEO is weaker.” (This is one of the more upvoted comments; discussion here: https://www.reddit.com/r/SEO/comments/1mry0cz/) Why this matters for all of us (and for VisibilityPro): - AI search no longer “ranks pages” — it matches entities. - Consistency (Wikidata, descriptions, citations, structured data) beats “more content”. - Brands with weak SEO but strong entity hygiene are suddenly visible in ChatGPT, Perplexity & Gemini. This is exactly the shift GEO (Generative Engine Optimization) is designed for. If your brand isn’t showing up in AI results, it’s rarely a “traffic” problem — it’s an entity clarity problem.