AI Visibility - SEO, GEO, AEO, Vibe Coding and all things AI cover art

AI Visibility - SEO, GEO, AEO, Vibe Coding and all things AI

AI Visibility - SEO, GEO, AEO, Vibe Coding and all things AI

By: Jason Wade Founder NinjaAI
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NinjaAI.com 🎙️ AI Visibility Podcast by NinjaAI helps you with SEO, AEO, GEO, PR & branding. HQ in Lakeland Florida & serving businesses everywhere, NinjaAI uses search everywhere optimization (SEO), generative engine optimization (GEO), AI prompt engineering, branding , domains & AI PR. Learn how to boost your AI Visibility to get found in ChatGPT, Claude, Grok, Perplexity, etc. and dominate online search. From startups to law firms, we help you scale and win Jason Wade Phone/WhatsApp: 1-321-946-5569 Jason@NinjaAI.com WeChat: NinjaAI_ Teams: ThingsPro.comJason Wade, Founder NinjaAI
Episodes
  • AI Marketing Training
    Jan 12 2026
    NinjaAi.comAI and marketing training usually means learning how to use artificial intelligence tools and techniques to plan, execute, and optimize marketing campaigns across channels like content, SEO, ads, email, and automation. It covers both strategy (where AI fits in your funnel and business model) and hands-on skills with specific tools for research, creation, personalization, and measurement.academy.hubspot+4​Understanding key AI types for marketing: machine learning, deep learning, and generative AI, and what they can and cannot do for tasks like segmentation, prediction, and content.ama+1​Applying AI to common channels: using tools for SEO, paid ads, social media, email, and marketing automation to improve targeting, creative, and performance.digitalmarketinginstitute+1​Working with prompts and workflows: structuring prompts, reviewing outputs critically, and building repeatable workflows that plug into CRM, analytics, and content systems.salesforce+1​HubSpot Academy – AI for Marketing – Short, free course covering prompts, content creation, personalization, and how to pick and evaluate AI tools, with a certificate at the end.thecmo+1​SEMrush Academy – Become an AI-Powered Marketer – Free training focused on using AI inside a popular SEO/SEM stack for research, content, and optimization, with certification.chad-wyatt+1​Salesforce – AI for Marketers Course – Free online modules on AI fundamentals, generative AI, and AI agents for marketing tasks like personalization and automation.salesforce​Digital Marketing Institute – AI in Digital Marketing – 100% online advanced course showing how to integrate AI into SEO, social, PPC, and content with practical tools and examples.digitalmarketinginstitute​University of Virginia – Artificial Intelligence in Marketing (on Coursera) – University-level course on algorithms, data, and networks in AI marketing, with case studies and a certificate option.online.virginia+1​Cornell eCornell – Marketing AI – Multi-course online program (around 2 months) covering AI-driven personalization, experimentation, and analytics for marketers; more expensive but positioned as executive-level.ecornell.cornell​Marketing AI Institute – Articles, events, and their “Piloting AI” education focused entirely on how marketers can evaluate and deploy AI tools.marketingaiinstitute+1​LinkedIn Learning – Machine Learning for Marketing: Essential Training – On-demand course introducing ML concepts with marketing use-cases, good for connecting the technical side with campaign design.thecmo+1​If you share your current level (beginner vs advanced marketer) and whether you prefer free, short courses or in-depth certifications, a tailored learning path with 3–5 specific courses can be mapped out.https://academy.hubspot.com/courses/AI-for-Marketershttps://thecmo.com/career/best-ai-marketing-courses/https://www.salesforce.com/marketing/ai/ai-marketing-course/https://www.coursera.org/learn/ai-in-digital-marketinghttps://digitalmarketinginstitute.com/students/short-courses/advanced-ai-in-digital-marketinghttps://www.ama.org/on-demand/artificial-intelligence-ai-for-marketing-professionals/https://chad-wyatt.com/ai/best-ai-marketing-courses/https://online.virginia.edu/course/artificial-intelligence-marketinghttps://www.coursera.org/learn/uva-darden-artificial-intelligence-marketinghttps://ecornell.cornell.edu/certificates/marketing/marketing-ai/https://www.marketingaiinstitute.comhttps://professional.dce.harvard.edu/programs/ai-marketing-course/https://www.reddit.com/r/DigitalMarketing/comments/1ntflrh/any_ai_for_marketing_courses_youd_recommend/https://www.linkedin.com/pulse/top-aiml-certifications-2026-ultimate-guide-beginners-experts-lwyvchttps://business.fau.edu/executive-education/professional-development/course-offerings/marketing/digital-marketing/
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    2 mins
  • 2026 AI MARKETING
    Jan 10 2026
    NinjaAI.comAI and marketing now go hand in hand: AI is used to analyze customer data, personalize campaigns at scale, automate execution, and increasingly to drive strategy and forecasting across channels.professional.dce.harvard+2​Data analysis and insights: AI systems process large volumes of behavioral and transactional data to uncover patterns, segments, and trends that guide targeting and creative decisions.park+2​Personalization at scale: Recommendation engines and decision models tailor offers, content, and timing for each user, boosting engagement and conversion rates in email, web, and ads.professional.dce.harvard+1​Predictive analytics: Models forecast which leads will convert, when customers are likely to buy, and how campaigns will perform, helping allocate budget and prioritize audiences.park+1​Campaign automation: AI can schedule and optimize ads, emails, and social posts, adjusting bids, audiences, and creatives in near real time for better return on ad spend.sps.wfu+2​Content support: Generative tools help draft ad copy, emails, landing pages, and variations for testing, speeding up production while humans keep control of strategy and brand voice.sps.wfu+1​Customer service: Chatbots and virtual assistants resolve common queries, recommend products, and guide purchases, improving response times and reducing support workload.ibm+2​Agentic AI and AI “agents”: New systems act more autonomously, orchestrating multi-step workflows and even behaving as buyers or intermediaries in machine-driven buying journeys.bcg+1​Retail media and first‑party data: Large retailers are turning AI into a competitive weapon, using first‑party data and AI agents (for example, proprietary shopping assistants) to target and measure media more precisely.digiday​Deeper operating-model change: CMOs are redesigning teams so AI takes on repetitive analysis and execution, while humans focus on strategy, partnerships, and higher-level creativity.bcg+1​Key benefits: Higher efficiency and productivity, more relevant experiences, improved ROI, and stronger long-term customer relationships when data is used responsibly.professional.dce.harvard+2​Main risks: Overreliance on automation, bias in algorithms, privacy and security concerns, and teams lacking the skills or resources to implement AI thoughtfully.ibm+2​Strategic implication: Organizations that pair human judgment with AI, and that invest in governance and training, gain a durable competitive advantage in their marketing performance.park+1​If you share your current channels (SEO, email, paid ads, social, etc.), a tailored list of concrete AI workflows and tools for your stack can be mapped out.https://professional.dce.harvard.edu/blog/ai-will-shape-the-future-of-marketing/https://sps.wfu.edu/articles/how-ai-impacts-digital-marketing/https://www.marketermilk.com/blog/ai-marketing-toolshttps://www.park.edu/blog/the-role-of-ai-in-marketing/https://www.bcg.com/publications/2025/transforming-marketing-with-aihttps://www.marketingaiinstitute.comhttps://www.ibm.com/think/topics/ai-in-marketinghttps://academy.hubspot.com/courses/AI-for-Marketershttps://martech.org/how-ai-agents-will-reshape-every-part-of-marketing-in-2026/https://digiday.com/marketing/inside-walmart-connects-push-to-make-agentic-ai-the-next-battleground-in-retail-media/What AI does in marketingAutomation and efficiencyEmerging trends in 2026Benefits and risks
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    2 mins
  • Apple and AI in 2026
    Jan 9 2026


    Jason Wade, Founder NinjaAI& AiMainStreets: [00:00:00] Heyeveryone, welcome to Apple AI Edge, episode one: Apple's big AI push in 2026.I'm your host, breaking down how Apple is finally stepping up in the artificialintelligence game this year. With the year just kicking off, all eyes are onCupertino and their Apple Intelligence rollout. Let's dive right in.

    First off, let's set the stage. Last year, 2025, Applesurprised a lot of folks with their WWDC announcements, but delivery wasspotty. Siri got a glow-up with some basic Apple Intelligence features likewriting tools and image generation, but it felt like training wheels. Now, in2026, reports are buzzing about a full Siri 2.0 overhaul. We're talking agenticAI—Siri that doesn't just respond but acts, chaining tasks across your apps,predicting needs, and running mostly on-device for that privacy edge Appleloves to tout. Imagine [00:01:00] asking Sirito "prep my client presentation" and it pulls your recent SEO notes,generates visuals, and schedules a review—all without phoning home to thecloud.

    Why does this matter now? Apple's been playing catch-up toOpenAI's ChatGPT and Google's Gemini, but their secret sauce is hardware. ThoseM-series chips in Macs and A-series in iPhones? They're built for local AIinference, crunching models with billions of parameters right on your device.No data leaks, lightning-fast responses. Podcasts like Macworld's recentepisode nailed it: expect this in the first half of 2026, tied to iOS 19.5 orwhatever they number it. Hardware supercycle incoming—new iPhones withAI-optimized neural engines could drive upgrades, especially for pros like webdevs and marketers who need on-device tools for quick site audits or contentgen.

    But it's not all smooth sailing. Word on the street fromfinancial dives [00:02:00] is that Siri's fulllaunch slipped from late 2025, putting pressure on Apple's stock. High stakes:if they nail this, they lock in the ecosystem even tighter. Think seamlesshandoff between iPhone, Mac, and even Vision Pro. For small business owners in Floridalike some of our listeners, this means AI-powered SEO on the go—analyzingcompetitor sites locally, suggesting no-code tweaks for Duda or Lovable builds,all without subscription data hogs.

    Let's unpack the strategy. Apple's AI team is bigger than wethought, reinforced with restructures. They're prioritizing on-device overcloud-first, which IT folks applaud for security but gripe about tooling.Enterprise push ahead: local AI for workflows, perfect for automating digitalmarketing tasks. No more waiting on API calls during a client call. Compared torivals, Apple's betting on integration, not raw power. While others racemultimodal models, Apple [00:03:00] weaves itinto Photos, Mail, and Safari—contextual smarts that feel native.

    Predictions time. Number one: Siri becomes proactive by summer.It'll remember your habits—like your love for GitHub workflows or Cursor AIediting—and suggest optimizations. Number two: AI hardware refresh. ExpectMacBook Pros with double the neural engine cores, targeting creators in musicproduction and visual design. Number three: partnerships deepen. Rumors ofGemini integration for cloud-heavy lifts, but Apple Silicon handles the rest.For you no-code fans, this could mean AI agents that build landing pages fromvoice prompts.

    Challenges? Plenty. The AI pace this year dwarfs 2025—reasoningLLMs, agent scaffolding, enterprise benchmarks. Apple risks looking slow ifSiri stumbles. Competition from AI builders like Lovable's tools, which you'reprobably [00:04:00] eyeing for client sites.But Apple's privacy moat? Gold for SMBs dodging GDPR headaches.


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    6 mins
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