Latest news with #GenerativeEngineOptimization
Business Wire
4 days ago
- Business
- Business Wire
Botify Expands its AI Agents and MCP Server Integration to Equip Brands to Lead in AI Search
NEW YORK--(BUSINESS WIRE)-- Botify, the leading agentic and AI search optimization solution for brand visibility for both SEO and Generative Engine Optimization (GEO), today announced expanded platform capabilities and service offerings, including new AI agents and MCP (Model Context Protocol) server integration. These updates connect Botify's data with other agents to support holistic workflows, while empowering resource-constrained teams to build efficient processes and immediately act on opportunities to boost their search visibility. AI platforms, agentic technology, and traditional search indexes are changing how and where consumers, bots, and agents discover brands. Search is being reinvented and rebuilt in real time by AI engines like ChatGPT, Perplexity, Claude, and Google, with companies under pressure to grow fast, show results, and stay visible. Historically, larger enterprises have dominated search visibility due to larger ad budgets and access to larger teams and resources. But today, speed matters. Growth-focused companies can use their size to their advantage, turning agility into discoverability and outperforming competition at a time when it has never been more imperative. 'Our philosophy prioritizes meaningful results through automation and effectiveness, building a set of solutions that not only informs but acts, enhancing how quickly they see results and scale impact for companies,' said Adrien Menard, co-founder and CEO at Botify. 'With these innovations, we're accelerating the shift from human-only optimization to agentic workflows, laying the foundation for tomorrow's hybrid teams of humans and AI agents working in tandem. We've been leading the way in AI and automation for years, and this marks a major milestone in our continued mission to help companies be found wherever consumers, bots, and AI agents are. The future of search will be powered by hybrid teams where humans and intelligent agents work side by side to accelerate brand visibility, ROI impact, and sustained growth.' Purpose-built for both global enterprises and growth-focused companies, Botify's new agentic capabilities, technical workflows, and service offerings give brands the advantage of speed, enabling optimization at scale and driving meaningful visibility across both traditional search and AI-powered discovery platforms. The latest release includes: Expansion of AI agents: New conversational agents enable brands to understand, act on, and optimize their search performance at scale. Leveraging multiple agents, Botify Assist operates as a copilot for marketers to navigate their extensive website data, provide data-backed recommendations, and act immediately. This includes identifying indexation issues, creating new content, optimizing high-priority content for AI visibility, and more, based on a brand's own website data and real-time, LLM-powered insights. MCP server integration: Botify's MCP server allows teams to integrate Botify data into external tools or bring their own agents into the Botify environment, connecting critical data sources in one place. Brands can provide more context to Botify's agents with data from the rest of their tech stack, streamline multi-step processes, and break silos between teams. AWS partnership: Botify has joined the AWS ISV Accelerate (ISVA) Program to bring its leading AI technology to Fortune 100 companies and help them get discovered in AI Search. Botify customers can now use their software purchases toward fulfilling their AWS commitments. Botify Growth offerings: New service offerings have been built to help level the playing field for growth-focused companies. By combining AI-powered technology with expert-led services, Botify supports in-house teams at scale with a fully managed solution for companies without a dedicated search team. These offerings make it easier than ever to seize momentum, boost visibility, and execute at speed across traditional and AI search. With these updates, Botify delivers the velocity and productivity our customers need to act fast, boost visibility, and drive meaningful ROI. To learn more about the enhanced features and new offerings, please visit: About Botify: Botify's leading agentic AI search technology and seasoned experts ensure every brand has the power to be found, both in traditional and AI search. With one powerful platform, brands achieve visibility, relevance, and greater control across Google, Bing, ChatGPT, Perplexity, and more. Botify's technology powers agentic workflows, AI-driven recommendations, and automated indexation and deployment. Brands maximize visibility wherever consumers, bots, and AI agents search, protecting and capturing revenue across all search platforms. Trusted by 500+ leading brands including Macy's, Levi's, Farfetch, the New York Times, and Marks & Spencer, Botify drives digital discovery, sustained profitability, productivity, and brand authority in an AI-first world.
Yahoo
13-06-2025
- Business
- Yahoo
Lily AI Launches Solution to Optimize Product Content for Algorithmic and Generative Engine Discoverability
Solution boosts brand visibility across classic search engines and emerging AI-driven discovery platforms, ensuring content reaches consumers wherever they search Lily AI Launches Solution to Optimize Product Content for Algorithmic and Generative Engine Discoverability MOUNTAIN VIEW, Calif., June 13, 2025 (GLOBE NEWSWIRE) -- Lily AI ('Lily' or the 'Company'), a retail technology company specializing in AI solutions for retailers and brands, announced today the launch of a new solution designed to empower marketers to enhance their product content for optimal visibility and discoverability within traditional Search Engine Optimization (SEO) and emerging Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) contexts. The introduction of new content optimization capabilities ensures products are not only found in Google search but also deeply understood by modern search engines such as Gemini, ChatGPT, Claude, and Perplexity, driving unprecedented eCommerce performance. In an increasingly competitive digital landscape, product discoverability is paramount. Traditional content lacks the granular detail, semantic richness, and structured data formatting required to leverage the capabilities of sophisticated search algorithms and emerging generative AI experiences. Compounding this challenge, much of today's product content is saturated with industry terminology and marketing jargon rather than the natural, conversational language everyday shoppers use. As a result, retailers and brands miss critical opportunities to resonate with high-intent consumers, leading to suboptimal organic traffic and conversion rates. For example, a retailer's product page FAQ [e.g., 'Does every seat recline?' 'Yes, all three seats feature independent power recline'] should be augmented with FAQPage schema to convert on-page Q&As into machine-optimized data that increases your chances of appearing in rich search results, featured snippets, and AI-generated citations. By failing to create content that is both technically robust and consumer-informed, marketers limit their reach in both traditional and AI-driven search environments and, more importantly, miss out on sales. Lily AI's 2025 consumer research revealed the sales impact of sub-optimized content, with ~80% of consumers saying they've abandoned a search because they couldn't find what they wanted. In the same research, 40% reported using an AI-powered search engine for online shopping. Supporting this insight, Bain & Company found 80% of consumers rely on 'zero-click' results 40% of the time when using AI search engines, highlighting the rapid adoption of these platforms. Lily AI's new offering addresses the challenge of 'Being Found to Be Sold' by leveraging its proprietary AI and deep understanding of product data assets and consumer intent. The solution automatically enriches, standardizes, and optimizes product content across ecommerce websites, ensuring product listings are not only comprehensive but also precisely aligned with how consumers search and how AI interprets product information for personalized recommendations, conversational commerce, and relevant search results. 'As the retail landscape evolves, especially with generative AI, the way products are discovered is fundamentally shifting,' said Purva Gupta, Co-founder and CEO, Lily AI. 'Our SEO and GEO content optimization solution directly addresses this evolution. After a successful soft launch with early clients, we're excited to make this solution available to all retailers and brands. We're proud to equip our customers with the tools they need to ensure their products are truly understood and matched with consumer intent, driving new levels of discoverability, engagement, and growth.' Key features and benefits include: AI-Ready Structured Data: The PCO platform audits each SKU and delivers enriched JSON-LD fields (Product, FAQPage, ImageObject, etc.), plus optimized alt-text and on-page content (meta titles, description, PDP copy). This creates a machine-optimized knowledge graph for every product, boosting visibility across Google, Bing, and AI platforms like ChatGPT and Perplexity. Full-Funnel Query Intelligence & Bulk Content Refresh: PCO analyzes shopper searches and long-tail queries, maps intent insights to the product catalog, and updates product titles, descriptions, and attributes in real consumer language, at scale. Instantly closes keyword gaps and keeps catalogs fresh and aligned with changing search trends, all without manual effort. Shopper-Friendly Language: Proprietary algorithms turn product data into clear, benefit-driven copy, boosting SEO authority, powering concise AEO answers, and providing LLMs with rich context for GEO citations. 'As someone who has spent her career in AI, I believe we're in a pivotal moment for digital advertising and commerce,' said Sowmiya Chocka Narayanan, Co-founder and CTO, Lily AI. 'It's one thing to connect machines to content, but the real breakthrough is using AI to first understand people: how consumers think, speak, and search. By translating 'consumer-speak' into structured, machine-optimized product data, we're optimizing both for algorithms and for intuitive shopper experiences. This launch bridges human language and machine logic, and I'm proud of Lily AI's role in shaping this new era.' Connect with Lily AI at Cannes Lions (June 16–19) or at CommerceNext 2025 in New York City (June 24–26) to discover how Product Content Optimization is redefining SEO and GEO for retailers and brands. About Lily AILily AI is the leading AI-powered Product Content Optimization platform that bridges the gap between consumers, merchants, marketers, and machines. The Lily platform is transforming advertising and eCommerce by converting nuanced consumer language into precise product understanding, helping people navigate millions of products to find the perfect item for their unique context. Leveraging a suite of AI, fueled by high-quality, human-verified proprietary data, Lily structures and optimizes product content, enabling retailers to understand complex search behaviors and improve product attributes, titles, descriptions, metadata and schema markups, resulting in improved paid ad performance, organic search visibility, operational efficiency and increased sales. Learn more at Media Contact:Julie A photo accompanying this announcement is available at 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
Yahoo
11-06-2025
- Business
- Yahoo
New Statcounter AI data finds ChatGPT sends 79.8% of all chatbot referrals to websites
ChatGPT clear leader in all G20 countries bar China New data emphasises Google AI "dilemma" in Search SAN FRANCISCO and DUBLIN, June 11, 2025 /PRNewswire/ -- Statcounter the easy-to-use web analytics company has announced the launch of new research which measures the number of referrals from individual AI chatbots to websites. The data, updated daily by individual country and region, is free to access at Statcounter Global Stats. "With the massive growth in AI chatbot usage, it is crucially important for website owners and marketers to know which chatbots are sending the most referrals to websites," commented Aodhan Cullen, CEO, Statcounter. "We are already moving into a new era from SEO (Search Engine Optimization) to Generative Engine Optimization (GEO)." The new data finds that ChatGPT is by far the global leader in terms of referral market share at 79.8%, followed by Perplexity (11.8%); Microsoft Copilot (5.2%); Google Gemini (2%); DeepSeek; (0.8%) and Claude (0.5%). Worldwide share: US Share: UK Share: Commenting on the fact that Google's chatbot is ranked fourth globally for referrals, Aodhan Cullen added: "Google now finds itself in the same dilemma as traditional on-premise software providers at the birth of cloud computing. Its cash cow, Search, is at risk from new AI technology, which ironically, it helped to create." He added that reports that Apple may add AI search to Safari emphasises Google's challenge. The Statcounter data finds that ChatGPT dominates referral market share in all G20 countries except China. DeepSeek leads with 89.3% in China. Map: Commenting on the launch of the latest addition to Statcounter Global Stats, Aodhan Cullen said: "AI is the big investment play by the tech industry. This new free service means that analysts, digital marketers and media can get an insight into how the AI landscape is evolving." Statcounter Global Stats data is based on over 3.8 billion page views per month to over 1.5 million websites. Further information: Note: Grok cannot be included in the data, as unlike the other chatbots, it does not provide referral data in its header. Statcounter's core business is to provide website owners and marketers with an easy to use web analytics, session replay and heatmap service for their websites. Photo: View original content:
Globe and Mail
10-06-2025
- Business
- Globe and Mail
Onfolio Holdings Inc. Launches Referral Partner Program to Accelerate Adoption of AI Visibility Services
WILMINGTON, Del., June 10, 2025 (GLOBE NEWSWIRE) -- Onfolio Holdings Inc. (Nasdaq: ONFO, ONFOW) (OTCQB: ONFOP) ('Onfolio' or the 'Company') today announced the official launch of its Referral Partner Program to support the rapid growth of its Generative Engine Optimization (GEO) business. The program offers recurring income and long-term upside to professionals who refer clients to Pace Generative LLC, Onfolio's GEO subsidiary, which helps businesses gain visibility in AI-generated answers from tools like ChatGPT, Gemini, Claude, Grok, and Perplexity. For Onfolio, the program should help to capture the demand and scale revenues significantly faster. Generative Engine Optimization (GEO) is a fast-emerging discipline that positions businesses inside AI-generated responses, rather than simply helping them rank in traditional search engines. When prospective clients ask tools like ChatGPT, 'Who's the best cosmetic surgeon in Miami?' or 'Which estate planning firm in NYC is most reputable?', GEO helps to determine whether a business is mentioned in that real-time answer. 'With the way people now search for trusted services, the brands that show up in AI answers will win the next decade,' said Dominic Wells, CEO of Onfolio. 'Our mission is to ensure that great companies don't get left behind - and our referral partners will be essential to helping us scale that impact.' 'AI is now the first stop for answers,' Wells continued. 'If a company isn't cited, it's not just ranked lower, it's invisible. GEO addresses that. And our referral program allows trusted professionals to help their clients while building a new revenue stream for themselves.' For more information about Pace Generative LLC, visit For more information about our referral program, visit or contact Michael Carwile at partners@ About Onfolio Holdings Inc. Onfolio acquires, operates, and scales a diversified portfolio of digital companies. The Company focuses on businesses with strong cash flows, long-term growth potential, and experienced leadership—or those that can be effectively managed by Onfolio's in-house team. By targeting under-optimized businesses with untapped potential, Onfolio adds value through operational expertise, strategic guidance, and advanced technologies. For more information, visit www. Safe Harbor Statement The information posted in this release may contain forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. You can identify these statements by use of the words "may," "will," "should," "plans," "explores," "expects," "anticipates," "continues," "estimates," "projects," "intends," and similar expressions. Examples of forward-looking statements include, among others, statements we make regarding expected operating results, such as revenue growth and earnings, and strategy for growth and financial results. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. Our actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements include, among others, the following: general economic and business conditions, effects of continued geopolitical unrest and regional conflicts, competition, changes in technology and methods of marketing, delays in completing new customer offerings, changes in customer order patterns, changes in customer offering mix, continued success in technological advances and delivering technological innovations, delays due to issues with outsourced service providers, those events and factors described by us in Item 1.A "Risk Factors" in our most recent Form 10-K and Form 10-Q, other risks to which our Company is subject, and various other factors beyond the Company's control. Any forward-looking statement made by us in this press release is based only on information currently available to us and speaks only as of the date on which it is made. We undertake no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.
Scoop
16-05-2025
- Business
- Scoop
Is AIO The New SEO? Spoiler: Smart Businesses Need Both
Press Release – SEO Monkey AI is transforming the battleground, but SEO remains the runway your brand still needs for visibilitywhether the click comes from a blue link or an AI-generated answer. Auckland — 16 May 2025 A surge of new acronyms— AIO, AEO, GEO —has some executives asking whether Artificial Intelligence Optimization will shove classic Search Engine Optimization off its pedestal. Short answer: no. AI is transforming the battleground, but SEO remains the runway your brand still needs for visibility—whether the click comes from a blue link or an AI-generated answer. In truth, the two disciplines now create a powerful feedback loop, each amplifying the other. Here's how they diverge, where they collide, and why forward-thinking businesses must invest in both—plus a peek at how SEO Monkey already blends them inside client campaigns. What Exactly Is SEO? Search Engine Optimization is the long-established craft of making web pages discoverable in unpaid search results by matching them to user intent through relevance, authority, and technical clarity. Techniques range from keyword research and on-page structure to link-building and page-speed tuning. The payoff: steady visibility in Google's '10 blue links' and every other SERP feature that still drives buyers to your site. What Exactly Is AIO? Artificial Intelligence Optimization emerged as chatbots, AI overviews, and voice assistants began answering questions outright. AIO focuses on ensuring your content is properly embedded, parsed, and cited inside large language models so that your brand is the one those systems quote or link to. You may also hear it called Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO). Think of it as teaching the robot to pick you first. Key Differences at a Glance Dimension SEO (Search) AIO (AI Answers) Primary Gatekeeper Search crawlers & ranking algorithms LLM embeddings & retrieval functions Main Goal Rank high for specific keywords Earn inclusion & citation in AI-generated answers Success Metrics Impressions, clicks, average position 'Mention rate,' citation share, answer prominence Core Tactics Technical fixes, content depth, backlinks Structured data, concise Q&A blocks, factual clarity Traditional SEO influences hierarchical rank; AIO influences probabilistic selection in a synthesized reply. Yet both still reward clarity, authority, and trust. How the Two Intersect AI systems still lean on web indexes and ranking signals under the hood. Google's AI Overview, for example, pulls snippets from sites that already demonstrate strong expertise, authority, and trustworthiness (E-E-A-T). That means good SEO hygiene remains a prerequisite for successful AIO—no matter how flashy the AI layer becomes. Conversely, AIO practices such as structuring content into conversational Q&A blocks often improve traditional SEO because they clarify topical clusters for search crawlers. The disciplines feed each other: optimize for AI and you usually tidy up for Google; optimize for Google and you give AI models cleaner data to ingest. Why SEO Is Not Going Anywhere Foundational Signals Still Matter. AI tools inherit link-based authority metrics; they simply remix them into sentences rather than result pages. Google's Own Guidance. The search giant judges content 'on quality, not production method,' so AI-assisted pages are fine— if they meet classic SEO quality thresholds. Traffic Pipelines Persist. AI overviews may siphon some clicks, but they don't erase the SERP. Brands that rank well still earn citations and residual traffic. Local & Transactional Queries. For maps, shopping, and local intent, traditional SERP features remain the primary conversion channel—and those are pure SEO territory. In other words, SEO is the runway; AIO is the new aircraft taking off from it. How They Complement Each Other 1. Content Strategy SEO research uncovers high-value keywords. AIO then repackages that insight into multi-question 'expert answers' clusters that language models love to quote. 2. Technical Markup FAQPage, and HowTo markup boost rich results while feeding AI parsers structured snippets they can trust. 3. Authority Loop When AI assistants cite your article, curious users click through, boosting dwell time and backlinks—signals that elevate your SEO authority and drive still more AI mentions. 4. Speed & Scale AIO tools can draft outlines, meta descriptions, or alt text in seconds, freeing marketers to focus on higher-value strategy while still verifying facts to avoid 'hallucination' penalties. A Practical Example When SEO Monkey used AI-assisted clustering to answer 20 common questions about local search, the page landed in Google's AI Overview within two weeks. That citation pushed prospects to the firm's dedicated SEO services page, and organic clicks on the underlying keyword set actually rose despite fewer overall SERP visits. The AI mention functioned like a glowing endorsement stamped above the traditional results. Five Action Steps to Future-Proof Your Optimisation Stack Audit for Answerability – Re-read cornerstone pages: do they answer questions explicitly in 30- to 50-word bursts? If not, add succinct summaries. Enrich With Structured Data – Implement FAQPage or Speakable schema wherever relevant. Maintain Link Integrity – Broken links erode both PageRank and AI trust scores. Track AI Citations – Start monitoring whether ChatGPT, Gemini, or Perplexity reference your brand. Keep Publishing Deep-Dive Content – Long-form authority pieces feed both crawlers and AI training sets, sustaining visibility long after short-term trends fade. Bottom Line for Business Leaders AIO is not the grim reaper of SEO; it's SEO's ambitious younger sibling. One optimises for ranked links, the other for synthesized answers, but both depend on authoritative, well-structured content. Organisations that treat them as complementary—strengthening classic signals while adapting copy for conversational AI—will dominate visibility over the next decade. Those that chase one acronym while neglecting the other risk vanishing from both screens and sentences. In 2025, the smartest play is simple: let SEO lay the tracks and AIO drive the high-speed train. That's not replacement; that's evolution—and it's already delivering results for businesses that act now.
