Jason Wade, NinjaAI - AI Visibility - AI SEO, AEO, Vibe Coding & all things Artificial Intelligence

Jason Wade, Founder NinjaAI
  • 3.0 (2)
  • TECHNOLOGY
  • UPDATED WEEKLY

NinjaAI.com AI Visibility Podcast by NinjaAI is a practical, operator-level show on how modern businesses get discovered, trusted, and cited by AI systems. Based in Lakeland, Florida and serving companies nationwide, NinjaAI specializes in search-everywhere optimization across SEO, AEO, and GEO, alongside AI prompt engineering, entity-based branding, domain strategy, and AI-driven PR.

  1. 12H AGO

    Jason Wade and Peter Thiel AI and Miami - NinjaAI.com

    NinjaAI.com Peter Thiel’s connection between AI and Miami centers on his growing personal and financial footprint in South Florida, combined with his long‑standing bets on artificial‑intelligence–driven companies.⁠⁠ Peter Thiel has lived in Miami Beach since around 2020, owns a home there, and moved his voter registration to Florida in 2024, signaling a deeper long‑term commitment to the city. His private investment firm, Thiel Capital, opened a new office in Miami’s⁠NinjaAI.com⁠ Wynwood neighborhood in late 2025, joining Founders Fund, which has had a Miami office since 2021. This expansion is widely interpreted as a response to California’s potential wealth‑tax debate and as part of Miami’s broader pull on tech, finance, and crypto capital.⁠⁠sfchronicle+5⁠⁠ While Thiel himself is not a “Miami‑only AI investor,” his firms back several AI‑forward companies that align with where Miami is trying to build an AI and tech ecosystem.⁠⁠wikipedia+1⁠⁠ Founders Fund has historically backed AI, biotech, and “hard tech,” including AI‑focused startups like Vicarious Systems (robotics‑oriented AI that was later acquired by Alphabet) and more recently Cognition AI, the lab behind the “Devin” AI software‑engineering agent.[⁠⁠en.wikipedia⁠⁠]​ At the broader portfolio level, Thiel’s networks have backed AI infrastructure and applications, including firms working on AI agents, cybersecurity, and compute‑intensive applications, which are increasingly relevant to Miami‑based AI and fintech startups.⁠⁠finance.yahoo+2⁠⁠ Thiel has appeared in Miami at tech and political events where he has spoken about AI’s strategic role, including how AI will reshape politics, warfare, and economic power. His appearances at Miami conferences and in Wynwood‑based Founders Fund offices have helped position Miami as a potential hub for AI and frontier‑tech discourse, even if many of his AI‑heavy bets are still headquartered in California or elsewhere.⁠⁠wynwoodmiami+1⁠⁠[⁠⁠youtube⁠⁠]​ In short: Peter Thiel is strengthening his base in Miami through real‑estate, voter registration, and new Thiel Capital offices, while continuing to back AI‑driven companies via Founders Fund and related entities—making Miami a more visible node in his AI‑centric investment strategy rather than a separate “Miami‑only AI fund.”⁠⁠businessinsider+3⁠⁠ Thiel’s AI‑related investmentsAI and Thiel’s visits to Miami

    4 min

  2. 13H AGO

    Orlando Addiction Treatment and Detox Center AI SEO GEO AEO Visibility

    ⁠NinjaAI.com⁠ You’re looking at a very strong niche: using AI-enhanced SEO to rank addiction treatment and recovery services around Orlando. Here’s a focused game plan you can execute. ## 1. Target intent and keyword clusters Build clusters around real user intent, not just “rehab Orlando”. Core Orlando clusters (examples): - “drug rehab Orlando”, “alcohol rehab Orlando”, “detox center Orlando”, “MAT program Orlando” - “outpatient rehab Orlando”, “PHP Orlando”, “IOP Orlando”, “sober living Orlando” - “addiction treatment for professionals”, “faith-based rehab Orlando”, “luxury rehab Orlando” (niche differentiators) [marketding](https://marketding.com/blog/seo-strategies-for-addiction-treatment-centers) Use AI tools (ChatGPT, Perplexity, Surfer, Clearscope, etc.) to: - Generate long-tail variants like “best outpatient drug rehab in Orlando for young adults”, “Orlando alcohol detox with medical supervision”. - Map each cluster to 1 primary page + 3–6 supporting blogs (e.g., main “Orlando Drug Rehab” page supported by posts on detox process, insurance, family involvement). [scalz](https://scalz.ai/ai-seo-strategies-for-visibility-in-addiction-treatment/) ## 2. Local SEO for “Orlando addiction treatment” Local is where the admissions come from, so prioritize: - Google Business Profile: - Exact NAP, categories like “Addiction treatment center”, “Drug and alcohol rehab”, photos of facility, staff, and rooms. - Service areas including Orlando, Winter Park, Kissimmee, Sanford, Clermont, etc. [behavioralhealth](https://behavioralhealth.partners/addiction-treatment-marketing/optimize-your-rehab-centers-website-for-local-seo/) - Location intent content: - Dedicated landing pages similar to what strong Orlando centers use (e.g., “Orlando Recovery Center” and “Orlando Outpatient Center” have detailed local pages with services, amenities, and directions). [orlandooutpatient](https://www.orlandooutpatient.com) - Include local landmarks, driving directions (“10 minutes from MCO”, “near Sand Lake Rd”), and public transit info to reinforce local relevance. [evolverecoverycenter](https://www.evolverecoverycenter.com/locations/orlando-fl/) - Reviews: - Build a review engine: automated SMS/email after discharge for willing clients and families. - Respond to all reviews with empathetic, non-clinical language. Positive reviews are a heavy local ranking factor. [marketding](https://marketding.com/blog/seo-strategies-for-addiction-treatment-centers) ## 3. On-site structure and conversion Look at how leading Orlando or Florida facilities structure their sites: clear program overviews, levels of care, and strong UX. [advancedrecoverysystems](https://www.advancedrecoverysystems.com) Essentials: - Clear IA: - Top nav: Detox, Inpatient/Residential, PHP, IOP, Outpatient, Dual Diagnosis, Locations (Orlando, …), Verify Insurance, Admissions. [advancedrecoverysystems](https://www.advancedrecoverysystems.com) - Conversion elements: - Sticky phone number, 24/7 line, and “Verify Insurance” form above the fold. - HIPAA-compliant forms, minimal required fields, reassurance copy about confidentiality. [directom](https://www.directom.com/treatment-rehab-marketing/) - Trust signals: - Accreditations (Joint Commission, CARF), licensed clinicians, evidence-based therapies, success stories (with de-identification). [whitesandstreatment](https://whitesandstreatment.com/locations/florida/orlando/) ## 4. AI for content and optimization AI SEO is a big edge in this vertical if you treat it as assistive, not autonomous.

    7 min

  3. 1D AGO

    AI, Cost, Speed, Trust

    ⁠NinjaAI.com⁠ Major AI platforms like Claude, GPT, Gemini, and Grok vary significantly in cost, speed (latency/throughput), and trust (reliability, data quality, compliance). These factors are key trade-offs for developers building AI solutions, such as your NinjaAI.com projects in legal tech. Subscription plans start around $20/month for pro access across most platforms, but API pricing differs sharply per million tokens.⁠intuitionlabs+1⁠Grok offers the lowest rates (e.g., ~25x cheaper than competitors for output tokens), ideal for high-volume use like SEO tools or automation.[⁠intuitionlabs⁠]​Claude is priciest (e.g., Opus at $15/$75 input/output per million), while open models like Llama 3 hit $0.20/million for budget-conscious scaling.⁠wesoftyou+1⁠ Latency measures first-token time and per-token generation; lower is better for real-time apps like chatbots.[⁠research.aimultiple⁠]​Grok 4.1 excels in per-token speed (0.010s), suiting iterative tasks, while DeepSeek lags at 7s first-token.[⁠research.aimultiple⁠]​Optimized models like Gemini Flash prioritize throughput (>1000 inferences/s on GPU).[⁠chatbench⁠]​ Trust hinges on data quality (95% AI failures from bad data), compliance (SOC2/HIPAA), and reliability metrics like hallucination rates.⁠forbes+1⁠Anthropic Claude leads in safety/enterprise trust; platforms like Maxim AI add observability for production reliability.⁠getmaxim+1⁠High speed often trades against trust—poor data erodes confidence, costing more in fixes (e.g., $3/change management per $1 model).⁠linkedin+1⁠ For your low-cost AI goals and tool comparisons, prioritize Grok for cost/speed in prototypes, Claude for legal-tech trust.[⁠intuitionlabs⁠]​ Cost ComparisonPlatformAPI Cost (Input/Output per 1M Tokens)SubscriptionNotes ⁠intuitionlabs+1⁠GrokVery low (~$0.00007/query)$30/mo SuperGrokBest for scaleGemini$1.25/$10$20/mo ProBalanced enterpriseGPT$5/$15$20/mo PlusVersatile mid-tierClaude$3/$15 (Sonnet); $15/$75 (Opus)$20/mo ProPremium featuresSpeed BenchmarksModelFirst-Token LatencyPer-Token LatencyUse Case Fit [⁠research.aimultiple⁠]​Grok 4.13-4s0.010sFast generationClaude 4.52s0.035sBatch analysisGemini 3 ProLow (optimized)CompetitiveReal-time Q&ATrust Factors

    8 min

  4. 2D AGO

    Sean Griffith From Truffle - Fixing the First Bottleneck in Hiring: Async Interviews, Real Signal, No AI Theater

    NinjaAI.com GuestSean Griffith — Founder of Truffle https://www.hiretruffle.com/ ContextFounder-to-founder conversation about fixing applicant screening at scale without turning hiring into an uncanny AI circus. Core Thesis Hiring breaks at volume. Phone screens don’t scale. Resumes are increasingly meaningless.Truffle exists to replace the phone screen bottleneck with structured, async signal—without removing humans from the decision loop. What Truffle Actually Is (clarity matters) One-way (async) video interviews 3–5 structured questions per role (typical) Candidates record responses on their time AI analyzes transcripts only (not faces, tone, appearance) Every answer scored against job-specific criteria Scores roll up into an overall Match % Full transparency: video + transcript + rubric + explanation No AI avatars. No synthetic interviewers. Explicitly anti-“creepy AI”. Why It Exists (founder origin) Sean scaled teams from ~7 → ~150 employees rapidly Remote roles = 500–1,000+ applicants per job Phone screens + resume reviews collapsed under volume ATS tools surface noise, not signal Truffle replaces the first human bottleneck, not the human decision How It Works (mechanics) Company defines job + criteria Truffle builds interview (or user customizes) Candidates receive a single link Candidates record async video responses Truffle: Transcribes responses Scores each question on ~3 criteria Explains why each score was given Ranks candidates by Match % Admins can: Watch full videos Read full transcripts Ignore AI scores entirely if they want Use AI as signal, not authority Bias & Compliance Positioning (important) Transcript-based analysis only Explicit exclusion of: Facial features Appearance cues Demographics Education prestige Employment gaps Questions are checked for compliance (warns if inappropriate) This is defensive design—and smart. Differentiation vs Competitors Most tools dump a pile of videos → Truffle summarizes + ranks Competitors sell complexity → Truffle sells clarity Competitors charge $20K–$30K/year → Truffle is SMB-accessible Unique feature: Candidate Shorts 30-second AI-generated highlight reel Top 3 revealing moments per candidate Lets reviewers scan 10 candidates in minutes No other one-way platform is doing this cleanly. Who Uses It SMBs Lean recruiting teams High-volume roles (retail, restaurants, staffing) Also used for higher-skill roles (marketing, sales, dev) Examples discussed: Chick-fil-A-style frontline hiring vs knowledge roles Pricing (not hidden) ~$129/month → ~50 candidates ~$299/month → ~150 candidates Scales upward from there One bad hire avoided pays for the tool many times over. Tech Stack (selective, pragmatic) Multiple LLMs by function: Gemini → structured qualification checks OpenAI → core analysis Other models → transcription Built using Claude + Cursor Heavy internal use of Notion (via MCP) for product context & decisions No “one-model-does-everything” dogma. Philosophy on AI AI should remove mundane friction, not human judgment Goal: free recruiters to spend time on top 5 candidates, not 500 resumes AI as leverage, not replacement Productivity gains discussed openly (10×–30× in certain workflows) Future Direction (explicitly mentioned) SMS/texting for candidate nudges (high open rates) Deeper work-style / environment matching Resume parsing layered on top of interviews Toward a one-page “candidate intelligence summary” Key Takeaway Truffle isn’t trying to “automate hiring.”It’s trying to compress signal acquisition so humans can make better decisions faster. That distinction is why it works.

    1h 16m

  5. 2D AGO

    Mike Montague of Avenue9: Episode Summary — Operator Calibration, Not a Podcast

    NinjaAI.com Mike Montague of Avenue9: Episode Summary — Operator Calibration, Not a Podcast https://www.linkedin.com/in/mikedmontague/ https://avenue9.com This conversation is not an interview and not a tools discussion. It’s an operator-to-operator calibration between two people already past AI curiosity and novelty. The central theme is leverage: how AI changes throughput, judgment, and positioning when used by someone who already knows how to think. The discussion repeatedly rejects surface-level AI usage (prompts, gimmicks, generic content) and instead documents how real operators are compounding advantage. 1. Productivity Is Quantified, Not Hyped A concrete productivity delta is established and independently validated: Core knowledge work: ~2–4×Drafting and synthesis: ~4–6×Reuse, repurposing, and compounding: ~9–10× Net effect: ~15–25 reclaimed hours over time, without burnout. The key insight is that AI does not make people work harder. It removes blank-page friction, offloads working memory, compresses decision cycles, and allows one operator to function like a small team. This framing is CFO-safe and defensible because it ties directly to time, output, and cost structure rather than “creativity” claims. 2. The Tool Metaphor Breaks — Two Better Models Replace It The conversation converges on two metaphors that explain why most people fail with AI: • Genius InternAI has read everything, understands nothing without context, and produces garbage without leadership. Dangerous or powerful depending entirely on the operator. • Iron Man / Jarvis (not Terminator)AI augments the human. The human retains judgment, ethics, and strategy. Full autonomy (“go get me business”) is framed as unrealistic and strategically wrong. This distinction cleanly separates AI-augmented operators from AI-dependent users. Only the former compound. 3. The Market Is Being Sorted, Not Flattened An implicit segmentation emerges: ~10% understand AI capability~1–3% can operationalize it0.1% compound it systematically Everyone else is flooding channels with low-signal output (generic blogs, LinkedIn posts, “AI content”). This noise does not hurt real operators; it exposes them. As signal density drops, long-form, opinionated, evidence-anchored content becomes more valuable, not less. 4. Classification Failure Is the Real Marketing Problem A brutal MSP example anchors this point: Customer acquisition cost: ~$25,000Paid-only dependenceCompetitors at 400k–600k monthly organic trafficSeven-figure spend chasing customers who don’t cover LTV This is not a marketing failure. It’s a classification failure. These companies are invisible at moments of evaluation because no one owns the narrative layer that trains search and AI systems on who they are and what they mean. One additional qualified customer per month would flip the economics, yet they are structurally incapable of achieving it. This directly validates the AI Visibility thesis: if you don’t train the system, you don’t exist. 5. AI Rewards Systems Thinkers and Punishes Outsourcing of Thought AI amplifies existing cognitive posture: • Operators who think in systems, abstraction, and synthesis get dramatically stronger• People who outsource thinking get weaker over time Cognitive offload is a force multiplier only if judgment remains intact. This is not a bug. It is the sorting mechanism. 6. The Actual Future Signal The implied future is not “AI replaces marketing” or “everything becomes fake.” Authority becomes scarcer.Signal becomes more valuable.Humans who can explain systems clearly dominate discovery. Local, B2B, and high-trust markets become easier, not harder, because differentiation thresholds collapse when competitors don’t understand narrative ownership.

    1h 5m

  6. 2D AGO

    Briefing: Runway AI's Advanced Creative Toolkit

    NinjaAI.com This briefing provides an overview of Runway AI's advanced creative toolkit, highlighting key features, capabilities, and their impact on multimodal AI-driven creativity. Executive Summary Runway AI, founded in 2018, has established itself as a leading powerhouse in AI-driven creativity across video, image, and audio. Its "advanced" toolkit comprises a suite of next-generation models and features designed to provide unparalleled control, consistency, and efficiency for creators. These tools are blurring "the line between imagination and execution," enabling sophisticated visual consistency, fine-grained editing, performance-driven character animation, and interactive storytelling. Runway's impact is already evident in major productions, from feature films like Everything Everywhere All at Once to music videos and television shows. Main Themes and Key Ideas/Facts 1. Blurring the Line Between Imagination and Execution: * Runway's core mission with its advanced tools is to empower creators by providing "the next-gen models and features Runway has unleashed to blur the line between imagination and execution." This emphasizes a shift towards a more seamless and intuitive creative process. 2. Multimodal AI-Driven Creativity: * Runway is a "powerhouse for multimodal AI-driven creativity—video, image, audio—all the playgrounds you dig into." This highlights its comprehensive approach to diverse creative mediums. 3. Enhanced Visual Consistency and Coherence: * Gen-4 and Gen-4 Turbo: These models represent a significant leap in maintaining narrative and visual coherence. "Gen-4 strides past prior generations by generating consistent characters, objects, and environments across multiple scenes." The "Turbo variant, released April 2025, ramps things up with faster results and a gentler hit on your credits." * Gen-4 References: This feature provides "a higher plane of control" by allowing users to "supply one or more reference images, annotate them with arrows or labels, and let Runway do the rest—placing glasses on someone, tightening a gaze direction, changing backgrounds. It’s precise, clever, and hugely empowering." 4. Fine-Grained Editing and Manipulation: * Aleph (Launched July 2025): Described as an "AI-powered Swiss Army knife," Aleph "unleashes edits on input videos." Its capabilities include the ability to "remove an object, shift the camera angle, tweak lighting, or remix styles with finesse." 5. Performance-Driven Character Animation: * Act-One (October 2024): This tool enables users to "drive an AI character, capturing subtle expressions and timing without motion-capture burdens," using "your performance—or a video you upload." * Act-Two: Building on Act-One, this feature provides "control over body movement and even environmental motion." 6. Interactive Storytelling and World Creation: * Game Worlds (2025): This is a "bold venture into text-based adventures with visuals—your words, your stage, your interactive storytelling," appealing to users interested in narrative and interactivity. 7. Proven Impact and Industry Adoption: * Runway's tools are not merely theoretical; they "have already made their way into major films (Everything Everywhere All at Once), music videos for A$AP Rocky, Kanye West, and even editing segments of Top Gear and The Late Show." This demonstrates their practical value and effectiveness in professional creative workflows. 8. Advanced Control and Sophistication: * The overall theme is that Runway "delivers with its most sophisticated models for visual consistency (Gen-4), fine-grained editing (Aleph), performance-driven character animation (Act-One/Two), and even choose-your-own-adventure style interactivity (Game Worlds). It’s the creative equivalent of adding rockets to your skateboard."

    6 min

  7. 3D AGO

    NinjaAI - SEO Learning and Practice

    NinjaAI.com LearningSEO.io offers a "comprehensive roadmap, featuring the main SEO areas and phases, along with free reliable guides, tips, FAQs and tools to learn about each; including those related to AI Search." It is designed to help individuals "start learning SEO or expand your SEO education to grow your site’s organic search traffic by understanding every aspect of a search engine optimization process to become or grow further as an SEO specialist." The roadmap is structured into several key phases: SEO Fundamentals: Covers "keyword research, content optimization analysis, technical optimization and link building."Execute an SEO Process: Focuses on practical application, including "Establishing an SEO Strategy, Setting SEO Goals, Measuring SEO, Reporting SEO, Developing an SEO Audit," and "SEO Process Management."SEO in your CMS: Provides guidance for implementing SEO best practices on popular platforms like "Shopify, Magento, Webflow, Squarespace, WordPress, and Wix."Deepen your SEO Knowledge: Offers advanced topics across technical SEO, content optimization, link building, management, and opportunities (e.g., "Advanced Technical SEO," "Advanced Content Optimization," "Advanced Link Building," "Advanced SEO Management," "Advanced SEO Opportunities," and "SEO Scenarios" like "Search Rankings Drop Analysis" or "SEO for Web Migrations").Specialize within SEO: Allows learners to focus on verticals such as "International SEO, E-commerce SEO, Local SEO, Enterprise SEO, News SEO, Saas SEO, Travel SEO, and Small Business SEO."Automate SEO Tasks: Introduces tools and languages for automation, including "Python for SEO, BigQuery & SQL for SEO, R for SEO, App Scripts for SEO, RegEx for SEO, JS for SEO, AI LLMs & Chatbots for SEO, and Machine Learning for SEO."SEO in other Search Engines: Extends optimization beyond Google to "Bing, Yandex, Baidu, Naver, Amazon, YouTube, TikTok, and Reddit."Keep up with SEO News: Emphasizes continuous learning through "Search Engine’s Official Publications, Search News Publications, Search News Aggregators, SEO Podcasts, SEO Newsletters, and Online Events."Optimize for AI Search (GEO, AEO, LLMO): Addresses the evolving landscape of AI-powered search, covering "AI Search Landscape, AI Search Optimization Fundamentals, Optimizing Content for AI Search," and "Measuring AI Search Visibility & Traffic."Free SEO Tools To Use: Provides access to a range of free tools for various SEO tasks, from keyword research to auditing.Complement your SEO: Suggests learning about related areas like "HTML & CSS, Javascript, Soft Skills, App Store Optimization, Google Analytics," and "Google Tag Manager."Train, test & troubleshoot your SEO further: Offers resources for advanced training, testing, and a "Why my page doesn’t rank in Google Checklist."2. The Nature and Demand for SEO Definition: "SEO, or Search Engine Optimization, is a practice that involves enhancing a website’s technical configuration, content, and backlinks -among other aspects- to make it more visible in search engine results pages (SERPs)." The primary goal is to "improve a website’s ranking... and as a consequence, grow its traffic and conversions or sales."Self-Learning is Feasible: While guidance is helpful, "it’s feasible to learn SEO on your own and that is the reason why LearningSEO.io was created: to facilitate the self-learning SEO journey of newcomers through reliable free resources."High Demand: "Yes, SEO is in demand in 2023." This is evidenced by "68% of online experiences begin with a search engine," the industry was "predicted to reach $77.6 billion in 2023," and there's substantial demand for specialists, with "7430 SEO jobs listed in the United States on Glassdoor" as of 2023. The average annual pay for an SEO Specialist in the US was "$64,172" in May 2023.

    14 min

  8. 4D AGO

    Disney: Collaboration & AI Strategy

    NinjaAI.com Disney is strategically investing in Artificial Intelligence (AI) and advanced collaboration technologies to maintain its competitive edge as a "world-class storyteller and entertainment company." The company is actively seeking a Vice President, Collaboration and AI, to lead these initiatives, emphasizing the integration of AI into knowledge worker tools, optimization of collaboration platforms, and the development of internal AI capabilities, including a "DisneyGPT" platform. This role highlights Disney's commitment to innovation, operational excellence, and leveraging technology to enhance its global vision and corporate strategies. Key Themes and Most Important Ideas/Facts 1. Strategic Embrace of AI and Advanced Collaboration Technologies Disney views AI and collaboration technology as crucial for its future success and competitive advantage. The Vice President, Collaboration and AI, will play a "pivotal role in shaping the strategic direction of our global entertainment powerhouse." This indicates a high-level corporate mandate to integrate these technologies deeply into the company's operations and creative processes. Quote: "At Disney Corporate and Enterprise Technology, our teams unite legendary storytelling with cutting-edge innovation—delivering scalable solutions that empower every studio, park, and platform to create unforgettable experiences across the globe."Quote: "This position is at the forefront of innovation, where you will collaborate with leaders across the company to drive strategies and inspire teams to develop innovative solutions, ensuring Disney remains a world-class storyteller and entertainment company."2. Focus on "DisneyGPT" and Microsoft Copilot Integration A key responsibility of the Vice President will be overseeing the implementation and strategy for specific AI tools, notably "Microsoft Copilot" and the internal "DisneyGPT" platform. This signifies Disney's dual approach to AI: leveraging commercial, off-the-shelf solutions and developing proprietary AI tailored to its unique business needs. Quote: "Responsibilities include overseeing Microsoft Copilot, the “DisneyGPT” platform, and steering key initiatives like Global Hosting Transformation and eTech’s AI programs."Quote: "Partner closely with other AI & Innovation teams across TWDC to ensure our general-purpose AI toolsets are aligned with and taking innovation from the larger strategies."3. Enhancing Knowledge Worker Productivity and Operational Excellence The role emphasizes using collaboration and AI tools to empower "knowledge workers and teams," with the goal of boosting "operational excellence." This suggests a focus on internal efficiency, streamlined workflows, and enabling employees across various departments to perform their tasks more effectively. Quote: "This leader champions innovation and strategy for collaboration, conferencing, and AI tools across the company—empowering knowledge workers and teams."Quote: "You’ll help drive Disney’s competitive advantage by enhancing experiences, growing the business, and boosting operational excellence."4. Strong Emphasis on Product Management and Optimization Disney is committed to implementing a "strong Product Management function for both Collaboration and general-purpose AI tools." This indicates a disciplined, product-centric approach to developing and deploying these technologies, ensuring they meet user needs and deliver tangible business value. There's also a focus on "synergy and optimization initiatives" to avoid duplicated capabilities and maximize software licensing investments. Quote: "Implement and lead a strong Product Management function for both Collaboration and general-purpose AI tools."Quote: "Drive synergy and optimization initiatives to ensure we are making the most of our licensed software, without duplicated capabilities."

    6 min
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About

NinjaAI.com AI Visibility Podcast by NinjaAI is a practical, operator-level show on how modern businesses get discovered, trusted, and cited by AI systems. Based in Lakeland, Florida and serving companies nationwide, NinjaAI specializes in search-everywhere optimization across SEO, AEO, and GEO, alongside AI prompt engineering, entity-based branding, domain strategy, and AI-driven PR.

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