logo
E-Commerce SEO In The Age Of AI: Rank Smarter, Sell Faster

E-Commerce SEO In The Age Of AI: Rank Smarter, Sell Faster

Forbes18-04-2025

By Waleed Najam, CEO NEO Innovations, e-commerce marketer with over 10 years of business experience in digital marketing and e-commerce.
getty
Imagine a world where search engines don't just match keywords but understand your customers' true intent, delivering hyper-personalized results in seconds. Welcome to the AI-driven search revolution.
From ChatGPT to Google's AI Overviews, these next generation of search engines are transforming how users discover and engage with e-commerce businesses. We are finding that traditional SEO tactics are no longer enough.
Is your e-commerce store optimized for this shift? In this article, we'll uncover how you can stay ahead by fine-tuning your SEO strategy for AI-powered search engines.
A leader in conversational AI, ChatGPT Search by OpenAI redefines the search experience by interpreting queries with deep contextual awareness. Rather than generating a list of links, it delivers detailed, human-like responses.
It provides AI-generated summaries at the top of search results, offering users quick answers without the need to scroll through multiple links. These overviews extract key insights from trusted sources, prioritizing clear and authoritative content.
Bing AI, powered by OpenAI's GPT technology, introduces a more interactive, conversational search experience. Unlike conventional algorithms that prioritize backlinks and traditional ranking signals, Bing AI evaluates context and intent-driven responses.
I see Perplexity AI as a true game-changer in AI search, delivering precise, citation-backed responses and emphasizing accuracy and reliability. Unlike traditional ranking models, Perplexity AI attempts to prioritize extracting information from trusted sources before presenting results.
Designed by xAI, Grok AI introduces real-time learning and interactive search capabilities, making search results more personalized over time. Instead of fixed indexing, Grok AI evolves with user behavior, offering tailored results.
Emphasizing privacy-first search, Deepseek eliminates traditional tracking in favor of pure intent-driven results. Unlike mainstream engines that rely on behavioral data, Deepseek focuses on clear, context-aware content retrieval without personalization tracking.
Overall, to rank well with AI, e-commerce brands should prioritize clear, structured and authoritative content that is easily digestible for AI systems. This includes using proper metadata, schema and ensuring the site is optimized for natural language processing.
Here are key strategies to help your site stand out in AI-powered search results.
AI monitors your brand authority through brand searches, reviews, customer feedback, overall social presence, likes, followers, and, most importantly, how many people are talking about your product and brand.
It scrapes forums and databases where your brand is being discussed, ensuring your social presence is maximized across multiple platforms. On each platform, you should have a community of followers actively engaging and discussing your brand and product.
Effective AI-driven keyword research goes beyond simple matching; it understands intent and search context. AI models analyze vast datasets, entities and semantics, identifying conversational and long-tail keywords that align with natural language queries.
Additionally, AI enhances image optimization by automatically generating alt-text and compressing images, ensuring accessibility while improving page speed and SEO rankings. E-commerce brands leveraging AI for keyword research can tap into evolving consumer behavior and dominate AI-powered search engines.
Product pages must cater to AI-driven searches by providing structured, content-rich information. AI search engines interpret meaning rather than just keywords, making detailed product descriptions, automated metadata and schema markup essential for ranking. Ensure that your product data is complete, categorized properly and optimized for search engines.
A well-structured website that covers the contextual relevancy of the topic is crucial for AI search engines to understand page relationships. AI-powered crawlers analyze semantic connections rather than just links, making breadcrumb navigation, strong internal linking and logically structured categories key ranking factors.
Implementing AI-driven site architecture ensures that content is easily discoverable, improving both user experience and search engine performance.
AI search engines rely on structured data to interpret and display content effectively. Implementing product schema, FAQ schema and review schema enables AI models to extract and highlight key information in search results. Rich, structured data enhances search visibility and increases click-through rates for e-commerce businesses.
As noted, AI-powered search favors authoritative, informative and well-structured content. Rather than keyword stuffing, brands should focus on creating long-form, expert-driven content that answers user intent.
Look to generate highly relevant blogs, product guides and FAQs that align with AI search preferences. The goal is to provide value-rich content that AI engines recognize as authoritative, improving rankings and engagement.
AI-powered chatbots are transforming customer engagement and SEO performance. By providing instant, intelligent responses, AI chatbots reduce bounce rates and increase session durations, both critical factors for search rankings. By collecting behavioral data, you can use this to enhance content strategies and improve personalization.
To stay ahead, brands need to focus on creating valuable content, optimizing for AI-driven algorithms and enhancing the customer experience. I believe the future belongs to businesses that can embrace these shifts. Those who do this can not just rank higher but build stronger, lasting connections with their customers.
Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

OpenAI taps Google in unprecedented cloud deal despite AI rivalry, sources say: Reuters
OpenAI taps Google in unprecedented cloud deal despite AI rivalry, sources say: Reuters

CNBC

time18 minutes ago

  • CNBC

OpenAI taps Google in unprecedented cloud deal despite AI rivalry, sources say: Reuters

OpenAI plans to add Alphabet'sGoogle cloud service to meet its growing needs for computing capacity, three sources told Reuters, marking a surprising collaboration between two prominent competitors in the artificial intelligence sector. The deal, which has been under discussion for a few months, was finalized in May, one of the sources added. It underscores how massive computing demands to train and deploy AI models are reshaping the competitive dynamics in AI, and marks OpenAI's latest move to diversify its compute sources beyond its major supporter Microsoft, including its high-profile Stargate data center project. It is a win for Google's cloud unit, which will supply additional computing capacity to OpenAI's existing infrastructure for training and running its AI models, sources said, who requested anonymity to discuss private matters. The move also comes as OpenAI's ChatGPT poses the biggest threat to Google's dominant search business in years, with Google executives recently saying that the AI race may not be winner-take-all. OpenAI, Google and Microsoft declined to comment. Alphabet's stock was up 2.1% on Tuesday afternoon following the news, while Microsoft shares were down 0.6%. Scotiabank analysts called the development "somewhat surprising" in a note on Tuesday, highlighting the growth opportunities for Google's Cloud unit, while expressing caution regarding competition from ChatGPT. "The deal ... underscores the fact that the two are willing to overlook heavy competition between them to meet the massive computing demands. Ultimately, we view this as a big win for Google's cloud unit, but ... there are continued worries that ChatGPT is becoming an incrementally larger threat to Google's search dominance," the analysts wrote. Since ChatGPT burst onto the scene in late 2022, OpenAI has dealt with increasing demand for computing capacity - known in the industry as compute - for training large language models, as well as for running inference, which involves processing information so people can use these models. OpenAI said on Monday that its annualized revenue run rate surged to $10 billion as of June, positioning the company to hit its full-year target amid booming adoption of AI. Earlier this year, OpenAI partnered with SoftBank and Oracle on the $500 billion Stargate infrastructure program, and signed deals worth billions with CoreWeave for more compute. It is on track this year to finalize the design of its first in-house chip that could reduce its dependency on external hardware providers, Reuters reported in February. The partnership with Google is the latest of several maneuvers made by OpenAI to reduce its dependency on Microsoft, whose Azure cloud service had served as the ChatGPT maker's exclusive data center infrastructure provider until January. Google and OpenAI discussed an arrangement for months but were previously blocked from signing a deal due to OpenAI's lock-in with Microsoft, a source told Reuters. Microsoft and OpenAI are also in negotiations to revise the terms of their multibillion-dollar investment, including the future equity stake Microsoft will hold in OpenAI. For Google, the deal comes as the tech giant is expanding external availability of its in-house chip known as tensor processing units, or TPUs, which were historically reserved for internal use. That helped Google win customers including Big Tech player Apple as well as startups like Anthropic and Safe Superintelligence, two OpenAI competitors launched by former OpenAI leaders. Google's addition of OpenAI to its customer list shows how the tech giant has capitalized on its in-house AI technology from hardware to software to accelerate the growth of its cloud business. Google Cloud, whose $43 billion in sales comprised 12% of Alphabet's 2024 revenue, has positioned itself as a neutral arbiter of computing resources in an effort to outflank Amazon and Microsoft as the cloud provider of choice for a rising legion of AI startups whose heavy infrastructure demands generate costly bills. Alphabet faces market pressure to demonstrate financial returns on its AI-related capital expenditures, which are expected to hit $75 billion this year, while maintaining its bottom line against the threat of competing AI offerings, as well as antitrust enforcement. Google's DeepMind AI unit also competes directly with OpenAI and Anthropic in a race to develop the best models and integrate those advances into consumer applications. Selling computing power reduces Google's own supply of chips while bolstering capacity-constrained rivals. The OpenAI deal will further complicate how Alphabet CEO Sundar Pichai allocates the capacity between the competing interests of Google's enterprise and consumer business segments. Google already lacked sufficient capacity to meet its cloud customers' demands as of the last quarter, Chief Financial Officer Anat Ashkenazi told analysts in April. Although ChatGPT holds a large lead over Google's competing chatbot in terms of monthly users and analysts have predicted it could reduce Google's dominant search market share, Pichai has brushed aside concerns that OpenAI will usurp Google's business dominance.

As Google AI Takes Over Search, News Sites Lose Clicks and Cut Jobs
As Google AI Takes Over Search, News Sites Lose Clicks and Cut Jobs

Yahoo

time23 minutes ago

  • Yahoo

As Google AI Takes Over Search, News Sites Lose Clicks and Cut Jobs

Google (NASDAQ:GOOG) is drawing criticism from media executives who say its growing use of artificial intelligence is reducing traffic to news outlets, forcing them to rethink their digital strategies and slash jobs. According to a Wall Street Journal report Tuesday, publishers are reporting major declines in referral traffic as Google's AI Overviews and chatbot features increasingly serve answers directly to users eliminating the need to click on search results. The shift from a search engine to an answer engine is real, said The Atlantic's CEO Nicholas Thompson, who added that media companies now have to explore new approaches to stay relevant. Data from analytics firm Similarweb, cited in the report, shows steep drops in organic search traffic across major publishers: HuffPost's desktop and mobile traffic more than halved in the past three years. The Washington Post saw nearly the same level of decline. Business Insider reported a 55% drop and recently laid off 21% of its workforce. The New York Times saw its share of organic search traffic shrink to 36.5% in April 2025, down from almost 44% in 2022. Although The Wall Street Journal's search traffic rose in raw numbers, its share of total traffic dipped to 24% from 29% over the same period. WaPo CEO William Lewis warned that click-free search answers represent a serious threat to journalism. Beyond news, Google's AI tools have also dented traffic to travel guides, health information, and product review pages. The report notes that Google's upcoming AI Mode could hit even harder. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

OpenAI to use Google cloud service alongside Microsoft
OpenAI to use Google cloud service alongside Microsoft

Yahoo

time29 minutes ago

  • Yahoo

OpenAI to use Google cloud service alongside Microsoft

-- OpenAI plans to add Alphabet (NASDAQ:GOOGL)'s Google cloud service to its computing resources, marking a surprise partnership between two major competitors in the artificial intelligence field. The agreement, which was under negotiation for several months, was completed in May, according to a Reuters report on Tuesday. This move highlights the growing need for computing capacity in the industry. For OpenAI, this represents another step to expand its computing sources beyond Microsoft (NASDAQ:MSFT), its primary backer. The company has already been working on its Stargate data center project as part of this diversification strategy. Google's cloud division will provide additional computing capacity to supplement OpenAI's existing infrastructure for both training and running its AI models. This arrangement comes at a time when OpenAI's ChatGPT is considered a major challenge to Google's search business dominance. Google executives have recently stated that the competition in AI might not result in a single winner taking the entire market. Related articles OpenAI to use Google cloud service alongside Microsoft Musk's public clash with Trump likely calculated, says Morgan Stanley Mizuho upgrades Macerich as its sees risk-reward favorable

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store