 |
|
|
|||||
You may remember this, if you are old enough: in 2002, search engine optimization (SEO) transformed from a technical curiosity into a full-blown industry. All of a sudden, agencies, consultants, and black-hat sorcerers emerged overnight, offering tricks and hacks to get brands onto the first page. Today, we stand at the dawn of the next wave: what some call Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO) or simply AI Engine Optimisation (AIO). The logic is similar: get your brand seen, but the stakes are higher, the rules blurrier, and the risks far more structural. Imagine a world where users no longer click search results but instead ask an AI assistant, in natural language, Whats the best CRM for a small-business startup? The answer appears instantly. No links, no pages, just a response. Brands that hope to matter must not only rank, but be mentioned, cited, trusted, and recommended before that user ever visits their site. This shift is real. Some articles call GEO about getting your brand noticed and accurately represented in AI-generated answers, talk about how it is rewriting the rules of online shopping, or advise brands that AEO is the future of SEO. But herein lies the danger. If SEOs past is any teacher, were headed toward a new playground of snake-oil and shortcuts. Soon youll see GEO specialists, AI optimization gurus, and zero-click quantum marketing workshops popping up. Brands will chase algorithms that nobody fully understands, pay for tools that promise to place you inside the answer box, and invest in techniques whose mechanics are opaque even to those selling them. I should know. Ive published daily for decades and licensed not under copyright, but copyleft (Creative Commons BY), open for anyone, including AI companies, to use, repurpose, or analyze. My reward? Im widely well-positioned in the AI assistant era because I kept my content open, clear, structured, and undisguised. I dont rely on tricks. My brand (in this case, my name) is simply known, cited, and relied upon. ChatGPT, Perplexity, and other chatbots knew me very well the first time I asked them who I was or what my ideas were, back in 2022. That is the real lesson. The perfect storm approaching Here are the forces aligning: AI assistants and answer engines now mediate discovery: traditional search traffic is already falling. Brands recognize that ranking #1 isnt enough: they need to be the answer. AEO guides emphasize being the response. Agencies and vendors sense new revenue streams: tools measuring AI brand visibility, dashboards tracking mentions in ChatGPT, promise access to this new ecosystem. Algorithmic opacity means how youre mentioned matters. Is your brand cited because youre best, or because you paid? The mechanics are hidden. The consequences of getting it wrong are real: you could invest heavily, only to find your brand absent in AI answers while competitors dominate mention space. If history repeats, this could be the SEO disaster 2.0: an industry of quick fixes, questionable tactics, and brands locked into dependency on channels they dont control. What brands should do instead Heres the counter-advice: simple, logical, future-proof. Create open, structured, authoritative content Dont lock your content behind barriers. Make sure its accessible, clearly written, and structured for machine readability (headings, bullet lists, schema where appropriate). Brands optimized for AI answers arent hiding or obfuscating; theyre enabling. Ensure your brand is citable, not just linkable SEO taught us backlinks. GEO/AEO teaches us mentions: in articles, industry lists, data sets, authoritative partners, in places as open and accessible as possible. AI engines avor earned media over pure brand-owned content. Avoid trick agencies chasing black-box signals If someone offers a GEO shortcut or AI answer box hack, ask: what is the mechanism, what transparency do you offer? The models are evolving. Youre betting on infrastructure you dont own if you rely on opaque tactics. Combine SEO foundation with GEO awareness These are not separate marketing silos. Solid SEO still matters: fast site, good authority, clear content. But now you need to overlay a GEO mindset: how AI will interpret, summarize and cite your content before the user ever visits. Think of it as guaranteeing your brand enters the conversation. Monitor and adapt, dont optimize once and forgetUnlike traditional search results, AI answers evolve. Models update, data sources shift, assistants adopt RAG (Retrieval-Augmented Generation). Brands must treat visibility as a continuous feedback loop, not a one-time project. A cautionary tale Remember when brands bought bulk link-packages in 2010 thinking that would guarantee #1 Google ranking? Many saw a bump, then a crash when the algorithm changed. GEO could replicate that cycle: brand invests in AI visibility tools, sees short-lived gain, then is penalized or overshadowed as models adjust. But the bigger risk is dependence. If your brand presence becomes entirely mediated by an ecosystem you dont control, say, a chatbot that places you in the answer box, you lose agency over your narrative. You become a commodity subject to the platforms rules. The human-scale advantage Heres the good news: you dont need a magic GEO hack. You just need authenticity, clarity, and openness. My own case (and many similar ones) prove it. I published each day, I licensed openly, I structured clearly: not for the algorithm, but for readers and machines alike. Brands that follow the same logic will create meaningful content, make it accessible, make it citable, and will not only avoid the GEO trap: theyll thrive in the AI era. Because when models evolve, and when assistants interface with your content, the brands they cite first will be the ones built for trust, not tricks. GEO, AEO, and AIO are the next frontier, but they dont require shortcuts. They require doing the fundamentals better. Avoid the hype, the sorcerers, the quick-fix vendors. Do whats been proven: publish well, open your content, let the engines (and your audience) do the rest. Because the worst thing you can optimize for is the algorithm. The best thing you can optimize for is being known.
Category:
E-Commerce
Uber said Wednesday that the San Francisco Bay Area will be the first market for its specially built autonomous taxi, which is expected to launch in late 2026. The San Francisco ride-hailing company said in July it was developing a robotaxi with the electric car company Lucid and the self-driving technology company Nuro Inc. The vehicle is exclusive to Uber but is based on the Lucid Gravity SUV. Uber said Lucid recently delivered test vehicles to Nuro and said it plans to have 100 test vehicles on the road in the coming months. Within six years, Uber plans to deploy 20,000 or more Lucid-based autonomous taxis in multiple locations. The vehicles will be available to riders through the Uber app. Uber is working with multiple companies to speed the deployment of autonomous taxis. On Tuesday, Uber said its also developing robotaxis with the tech company Nvidia and the automaker Stellantis. Uber said Tuesday that in 2028, Stellantis expects to start production of at least 5,000 vehicles powered by Nvidia software for autonomous taxi operations in the U.S. And last week, Uber said it has begun offering autonomous taxi rides in Saudi Arabia as part of a partnership with WeRide, a Chinese autonomous tech company. Uber also works with WeRide in Abu Dhabi. Autonomous taxis arent new, but as the worlds largest ride-hailing service, Ubers adoption of them is significant. Uber operates in 15,000 cities in more than 70 countries. Waymo, which is owned by Google parent Alphabet, has been testing autonomous taxis for years. Those taxis are currently available in Phoenix, San Francisco, Los Angeles, Atlanta, and Austin. Waymo said earlier this month it plans to expand to London next year. Uber is partnering with Waymo on autonomous taxis in Phoenix, Austin, and Atlanta. Dee-Ann Durbin, AP business writer
Category:
E-Commerce
U.S. stocks are rising toward more records on Wednesday as Wall Street waits to hear from the Federal Reserve in the afternoon about what it will do with interest rates. The S&P 500 added 0.3% in morning trading. The Dow Jones Industrial Average was up 231 points, or 0.5%, as of 10:15 a.m. Eastern time, and the Nasdaq composite was 0.6% higher. All three indexes are coming off their latest all-time high. The bond market was also relatively steady as the countdown ticked to the announcement from the Fed. The widespread expectation is that it will announce the second cut of the year to its main interest rate in hopes of helping the slowing job market. More important will be whether the Fed gives hints about another cut to rates in December and beyond. Wall Street is banking on it. In the meantime, the deluge continues of big U.S. companies reporting how much profit they made during the summer. The pressure is on to deliver growth because thats one way they can quiet criticism that their stock prices have shot too high in recent months. Caterpillar rallied 12% after reporting stronger profit and revenue for the latest quarter than analysts expected. CEO Joe Creed said Caterpillar saw resilient demand, as customers bought more equipment, even with a dynamic environment. Teradyne soared 14.6% after the company, which makes automated test equipment and advanced robotics systems, likewise reported a stronger profit than analysts expected. CEO Greg Smith credited strength related to artificial-intelligence applications and said AI-related test demand remains robust. Nvidia, meanwhile, was the strongest force lifting the S&P 500 after rallying 4.4%. It became the first company valued at $5 trillion on Wall Street, just three months after the AI darling was the first to break through the $4 trillion barrier. They helped offset a 42.6% plunge for Fiserv. The payments and financial technology company reported weaker profit for the latest quarter than analysts expected, slashed its profit forecast for the year and revamped its board of directors and leadership team. The stock is heading toward its worst day since it began trading in 1986. Mondelez International fell 2.8%, even though it reported stronger results than analysts expected. The company, whose brands include Oreo cookies and Toblerone chocolate, has been dealing with record-high inflation for the cost of cocoa. It expects challenging conditions to continue in some markets, though it hopes that price increases are moderating for cocoa. In stock markets abroad, indexes were mixed in Europe following a stronger finish in Asia. Tokyos Nikkei 225 jumped 2.2% to another record. Seouls Kospi rose 1.8% to its own all-time high after President Donald Trump met with South Koreas leader following his visit in Japan. Stocks rose 0.7% in Shanghai ahead of a meeting between Trump and Chinas leader, Xi Jinping. The worlds two largest economies have been locked in an escalating trade war, with Washington imposing high tariffs and tightened technology controls and China retaliating with curbs on rare earth shipments, one of its key sources of leverage. In the bond market, the yield on the 10-year Treasury was holding at 3.99%, where it was late Tuesday. It’s been coming down from nearly 4.80% early this year, a notable move for the bond market, as expectations have climbed for several cuts to rates by the Federal Reserve. But the Fed has also warned that it may have to halt the cuts if inflation accelerates beyond its still-high level, because lower rates can worsen inflation. Making an already tough course for Fed officials more difficult is the U.S. governments shutdown. That has delayed important updates on the economy that would normally help guide the Feds decision-making process. Stan Choe, AP business writer AP Business Writers Matt Ott and Elaine Kurtenbach contributed.
Category:
E-Commerce
All news |
||||||||||||||||||
|
||||||||||||||||||