GEO / AEO pointers. You’re building a website / product. You used to only have to worry about search engine optimization (SEO). Then AI came along and gave you more work to do. I came up with 10 basic pointers when you’re trying to also optimize for generative engines (GEO) and answer engines (AEO).
Put up clear questions and answers on your website so AI can quote them.
Get yourself cited on other websites and sources as much as you can.
Keep the facts on your website accurate and up to date.
Use simple direct language
Add FAQ’s (different than the Q&A sprinkled around the website) that AI can quote
Use clear formatting structures
AI likes unique data / stats / quotes. Give away case studies, data analyses, anything AI can latch onto.
Use voice phrasing frequently like “How do I…”
Fast mobile loading speed
Claim listings on other websites, especially on authority websites
So I put together an 8-hour course for myself to review AI tools for executive recruiting that are being used right now. I whittled that down to a 30-min course for a variety of reasons. Then I had a need for a cheat sheet for the info. These shouldn’t be relied on for anything important, this is for entertainment purposes only.
I needed a 1-page cheat sheet of AI tools in Advertising and Marketing. So I produced a quick review of 35 tools. Nothing posted here should be relied on for anything important, for entertainment purposes only.
“imagine a hearing aid that uses artificial intelligence to read lips, and puts it in context of the sounds being made to give the wearer a better guess of what is being said. these are better than hearing aids that just interpret sounds.
tell me 50 different technologies that would make this work. in other words, give me 50 independent options that are unlike the other methods. number them 1 through 50. make each point be no more than 10 words. be as science fiction as you would like. the technology does not have to exist yet.”
Output:
Neural networks trained on lip reading datasets. In-ear cameras and computer vision algorithms. Microphones with directional audio processing. Voice recognition algorithms for speech-to-text transcription. Wearable EEG sensors for brainwave analysis. Binaural audio processing for sound localization. Natural language processing for context interpretation. Audio-to-text machine translation for multilingual support. Facial recognition algorithms for speaker identification. Machine learning algorithms for adaptive noise cancellation. Sound recognition algorithms for environmental awareness. Real-time speech synthesis for voice feedback. Eye-tracking technology for visual cues. Ultrasonic sensors for distance measurements. Haptic feedback for tactile communication. Wearable motion sensors for gesture recognition. Augmented reality displays for visual aids. Wireless networking for remote communication. Cloud computing for distributed processing. Cybersecurity for data protection. Mobile app integration for customization. On-device storage for offline use. Flexible display technology for screen size optimization. Voice assistants for hands-free operation. Quantum computing for faster processing. Brain-computer interfaces for direct communication. Augmented cognition for cognitive enhancement. Electroencephalogram for cognitive activity monitoring. Near-infrared spectroscopy for brain oxygenation measurement. Transcranial magnetic stimulation for brain stimulation. Transcranial direct current stimulation for brain modulation. Neuroprosthetics for artificial hearing. Cochlear implants for hearing restoration. Adaptive feedback for personalized settings. Machine vision for facial expression recognition. Emotional intelligence algorithms for affective computing. Intelligent agents for human-like interaction. Biofeedback for stress reduction. Wearable biosensors for physiological monitoring. Machine learning algorithms for personalized language models. On-chip machine learning for embedded processing. Neuromorphic computing for energy efficiency. Carbon nanotubes for flexible electronics. Biocompatible materials for implantable devices. 3D printing for custom-fit devices. Wireless charging for convenience. Energy harvesting for sustainable power. Secure element technology for authentication. Quantum encryption for secure communication. Blockchain technology for decentralized data management.
ArtificialSong.com is a very basic WordPress site that shows what artificial intelligence can do with songwriting. But what was really interesting, and what I need to get back to, are what I learned about the WP plug-ins available out there to do complex AI tasks.
I asked Chatgpt for 20 Insurtech trends. Aside from screwing up the percentages adding up to greater than 100%, artificial intelligence seems to nail it again.
Increase in usage-based insurance
Growth in smart home technology
Expansion of telematics for risk assessment
Rise of on-demand insurance models
Growing popularity of peer-to-peer insurance
More personalized and tailored coverage options
Increase in cyber insurance demand
Emergence of blockchain technology in the industry
Greater focus on sustainability and environmental impact
Expansion of microinsurance in developing markets
Consolidation of smaller insurance companies
Increased use of artificial intelligence and machine learning
Implementation of predictive analytics for risk assessment
Shift towards gig economy and freelance work
More stringent regulations and compliance measures
Increase in natural disaster-related claims
Growth of health and wellness programs
Rising cost of healthcare and medical expenses
Increased use of virtual reality for training and risk assessment
Greater focus on customer experience and satisfaction
Ok, after some trial and error, I think I figured this out. I told ChatGPT to write a 4-note beat directly into MusicXML code. Then I uploaded that code to NoteFlight to generate the score. You can have NoteFlight then play it or play it yourself. Success!
The instructions and output:
I copied the XML code (upper right link) into a txt document. I changed the extension of that txt document to .musicxml. Then went to NoteFlight and created a new score by uploading the .musicxml file.