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As Spring Road Trips Turn Into Summer Travel, Brandi AI Releases Its AI Visibility Index for the SUV Market, Showing Which SUV Brands Win in AI Answers

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5 months ago

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Brandi AI’s new report finds the SUV brands and sources most cited in AI answers are not always the sales leaders, as more consumers use AI to research which SUVs to trust, compare and buy

MCLEAN, Va., April 21, 2026 /PRNewswire/ — As spring road trips give way to summer travel, consumers are increasingly turning to AI platforms to research SUVs, compare models, and decide which vehicles best fit their needs for vacations, sports travel, camping, and outdoor driving. Brandi AI, the leading platform for enterprise AI visibility and Generative Engine Optimization (GEO), today released its AI Visibility Index for the SUV Market Universe, a new report analyzing which SUV brands, publishers, creators and webpages appear most often in AI-generated answers across major AI platforms. The findings show that AI visibility in the SUV category is driven less by brand size, sales leadership or publisher scale than by relevance, credibility, freshness and how directly content answers real shopper questions.

Brandi AI’s AI Visibility Index for the SUV Market Universe is based on 41,169 AI-generated answers collected between March 15, 2026, and April 15, 2026, across ChatGPT, Google AI Mode, Google AI Overviews, Google Gemini, Grok, Microsoft Copilot, and Perplexity. Among its findings, Toyota appeared in 61% of AI answers to general SUV questions even when no brand was named in the prompt, despite Chevrolet leading U.S. SUV sales. The report also found that YouTube was the most-cited domain overall in the SUV category and that smaller creators, niche publishers and highly targeted pages often outperformed larger publishers and broader automotive sites in AI citation visibility.

“AI citation patterns are moving targets,” said Leah Nurik, CEO and co-founder of Brandi AI. “While there is ongoing debate about exactly how AI systems decide what to cite, one thing is clear: they are not pulling from one fixed list of preferred websites. Which brands and sources appear in AI answers can change based on the platform, the model, the query, the freshness of the information, and how directly a page answers the question. This report shows that brands can improve their odds of being mentioned in AI Search answers by directly answering high-intent buyer questions, earning inclusion in trusted editorial reviews and comparisons and publishing specific, structured content on the features shoppers care about most that AI can easily interpret and cite.”

Brandi AI’s AI Visibility Index series analyzes large-scale sets of AI-generated answers to show which brands and sources are surfacing in real-world buying conversations inside AI platforms. By measuring how often brands are mentioned, how they are described and which sources AI systems cite, the series provides a practical view of who is winning visibility, trust and narrative control in AI-driven market discovery. Previous reports analyzed the Customer Relationship Management (CRM) software market and the fresh dog food market.

The findings from the AI Visibility Index for the SUV Market Universe indicate a broader shift in how SUV brands gain visibility in AI-generated answers. In this category, AI rewards brands and sources that provide the most relevant, credible and question-specific information, not simply those with the greatest scale or market presence. To show how that dynamic is playing out in practice, Brandi AI highlighted the following standout findings and category awards from the report:

The Main Character Energy Award: Toyota Leads SUV AI Visibility in Total Mentions and Primary Mentions

Toyota ranks #1 in GEO Awareness, meaning AI mentions it more than any other SUV brand, even when no brand is named in the prompt. It also leads in price/value and reliability/durability, while ranking strongly in sentiment and first-party citation authority. In AI-generated SUV answers, Toyota functions as a default reference point for the category.

The Punching Above Its Weight Award: Subaru Outperforms Its U.S. SUV Sales Rank in AI Answers

Subaru ranks #6 in U.S. SUV sales, but AI treats it like one of the category’s most trusted brands, with #4 GEO Awareness, #2 sentiment, #1 safety, and #3 reliability/durability. This makes Subaru one of the clearest examples of an SUV brand outperforming its sales position in AI visibility and trust.

The Halo Effect Award: Tesla Earns the Highest AI Sentiment Score Among SUVs

Tesla earns the highest overall AI sentiment score, making it the most positively framed SUV brand in AI answers. Subaru and Toyota follow close behind, but Subaru stands out as a notable overperformer, ranking near the top on sentiment despite only mid-tier SUV sales performance. The broader takeaway is that Tesla’s advantage in AI answers is closely tied to the strength of the positive narrative surrounding the brand.

The Coverage Matters Award: Editorial Reviews and News Publishers Lead SUV AI Citations

Editorial reviews and news publishers account for 39% of AI citations in the SUV category, making them the largest source type in the answer layer, ahead of brand and corporate sites at 28%. Independent reviews, comparisons, and reported analysis play an outsized role in shaping which SUVs AI surfaces and how those vehicles are described.

The Gold Standard Award: Edmunds Sets the Trust Benchmark for AI SUV Answers

Edmunds is the editorial source AI most consistently relies on for evidence in the SUV category. It ranks #1 among editorial reviews and news publishers and also appears near the top of the most-cited domains overall. In a category where third-party validation matters more than brand claims alone, Edmunds stands out as one of the strongest editorial proof points shaping how AI explains SUVs and supports recommendations.

The Lights, Camera, Citations Award: YouTube Dominates SUV Citations Across Social Media and User-Generated Content

YouTube ranks as the most-cited domain among all social and user-generated content sources in the SUV market. The top-cited social assets are all videos, suggesting AI is using video as a primary source of evidence in SUV answers, not just supplemental content.

Additional findings from the report include:

Fragmented Attribute Leadership Across Key SUV Buying Criteria: Through sentiment tracking across five buyer decision criteria, different brands lead depending on the attribute shoppers care about most: Tesla leads on fuel economy, Kia on performance, Toyota leads on both price/value and reliability/durability, and Subaru leads on safety.Relevance Over Reach in SUV Video Citations: The niche YouTube publisher Auto Wheels holds the #1 spot for most-cited social/user-generated videos, with fewer than 50,000 subscribers and stronger AI-citation visibility than creators with much larger followings.Specialization Beats Scale in Automotive Editorial Citations: A Girl’s Guide to Cars, an independent auto review site, broke into a citation set dominated by major editorial brands. Its road-trip SUV page appears alongside Car and Driver, Edmunds, Road & Track, and MotorTrend despite operating at a far smaller scale.Precision Wins AI Visibility: Vern Laures Auto Center of New Hampton, Iowa, stands out because its visibility comes from a single tightly targeted page rather than broad site authority, brand scale, or audience size. Its page on fuel-efficient SUVs appears among the most-cited pages, showing that a highly specific page can earn strong AI visibility even from a site with modest traffic.AI Rewards Lasting Usefulness, Not Just Newness: MotorTrend’s November 14, 2025, video ranking among the top five most-cited social media and user-generated content suggests that recency can help in AI visibility, but it is not absolute. Older assets can remain highly citable when they stay relevant, authoritative, and closely aligned with enduring buyer questions.

“AI is creating a new decision layer between brands and buyers, and traditional visibility signals are no longer enough,” said Nurik. “If marketers cannot see whether their brand appears in AI answers, how it is framed, which sources shape that narrative and where competitors are outperforming them, they are losing influence without realizing it. The advantage in the AI era will go to the brands that can measure AI visibility, identify gaps and respond before those perceptions harden.”

To read the full AI Visibility Index for the SUV Market, visit https://mybrandi.ai/ai-visibility-index-for-the-suv-market-universe.

To see how leading brands are measuring AI visibility, identifying blind spots and shaping how they appear in AI-driven buying conversations, schedule a Brandi AI demo.

About Brandi AI
Brandi AI™ is the leading platform for enterprise AI visibility and Generative Engine Optimization (GEO). Built on a powerful intelligence layer, Brandi helps organizations stay visible as online discovery shifts from search engines to AI answer engines like ChatGPT, Google AI Overviews and Perplexity, revealing where brands stand in this new landscape. Brandi tracks the high-intent questions buyers ask AI and shows whether—and how—a brand is mentioned or cited in AI-generated answers. With this foundation, Brandi provides data-driven guidance and optimization tools to help marketers refine existing web content and create new AI-ready content designed to earn brand mentions and citations in AI answer engines. Used by Fortune 500s, global agencies and mid-market brands across B2C and B2B industries, Brandi supports CMOs and product marketers in defining category strategy and content, and PR, SEO, and digital marketing teams in driving visibility. For more information, visit mybrandi.ai. Follow Brandi AI on LinkedIn.

Media contact:
Michael Tebo
Gabriel Marketing Group (for Brandi AI)
Phone: 571-835-8775
Email: michaelt@gabrielmarketing.com

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SOURCE Brandi AI

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Allstream Energy Partners Nominated in Multiple Categories for Fast Company’s Best Workplaces for Innovators

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4 hours ago

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September 12, 2026

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Nomination Categories for Fast Company’s Best Workplaces for Innovators in AI & Automation, Advertising, Marketing & PR

HOUSTON, Sept. 12, 2026 /PRNewswire/ — Allstream Energy Partners has been nominated in multiple categories for Fast Company’s Best Workplaces for Innovators program, recognizing organizations redefining their industries through innovation, leadership, and emerging technologies.

The company received nominations in six categories:

Best Workplaces for Innovators North AmericaAI, Automation and Machine Learning ExcellenceAdvertising, Marketing and PRSmall & Mighty CompaniesInnovative Leader of the Year: Efrain Garcia, Founder and CEOInnovative Team of the Year

The nominations recognize Allstream’s investment in proprietary AI-driven marketing technologies, digital publishing solutions, and workflows designed to change how energy companies build visibility, authority, and customer engagement.

Where Oil and Gas Digital Marketing Meets Publishing

Allstream Energy Partners has developed an agency-plus-publisher model combining digital marketing, content creation, industry communications, media publishing, executive networking, and business development.

As artificial intelligence changes how buyers discover suppliers, manufacturers, engineering firms, service companies, and technology providers, Allstream helps clients position themselves to be recommended—not simply found.

Its integrated capabilities include AI marketing strategy, AI-optimized website development, SEO for Oil and Gas, Answer Engine Optimization, Generative Engine Optimization, AI search visibility, content marketing, industry publishing, public relations, social media, paid search, email marketing, event promotion, podcasting, branding, and digital advertising.

Innovation Built for Energy

Unlike a general marketing agency, Allstream was built specifically for oil and gas, energy, engineering, construction, manufacturing, and industrial markets. Each founder brings 27 years of experience supporting sales, business development, capital projects, technical services, industrial marketing, and digital strategy.

This experience gives Allstream an understanding of how technical buyers evaluate suppliers, how projects move through the market, and how engineering, procurement, operations, and executive teams consume information.

The company continues investing in proprietary methodologies that combine industry knowledge, journalism, publishing, AI optimization, communications, and business development strategy. As AI becomes an important starting point for supplier research and vendor discovery, Allstream helps organizations evolve beyond traditional SEO.

“Marketing has fundamentally changed,” said Efrain Garcia, Founder and CEO of Allstream Energy Partners. “Our team recognized early that AI would transform how buyers discover companies, evaluate expertise, and make purchasing decisions. These nominations reflect our commitment to innovation and our mission to help the energy industry succeed in an AI-first world.”

About Allstream Energy Partners

Allstream Energy Partners is a Houston-based, AI-powered marketing and media company serving the energy and industrial supply chain. Through SEO, GEO, AEO, AI-optimized websites, publishing, strategic communications, networking events, and business partnerships, Allstream helps Oil and Gas companies strengthen their brands, improve visibility across search engines and AI platforms, and generate qualified business opportunities.
Visit www.AllstreamEP.com

Media Contact:
Efrain Garcia
efrain@allstreamep.com
8324963004

Photo(s):
https://www.prlog.org/13170255

Press release distributed by PRLog

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SOURCE Allstream Energy Partners

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Krelva Accepted Into the HBS Foundry Bootcamp at Harvard Business School

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6 hours ago

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September 12, 2026

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Foster Britton spent four years learning to trade. Jerry Klamm grew a website to $100,000 a month in high school. Their bootstrapped, pre-launch company, Krelva, joins the new program in October and opens Krelva Meet, small live rooms where day traders trade the market together at their respective skill levels.

BUFFALO, N.Y., Sept. 12, 2026 /PRNewswire-PRWeb/ — Krelva, a bootstrapped, pre-launch Buffalo company built for futures day traders, has been accepted into the HBS Foundry Bootcamp at Harvard Business School, a new online program for founders working toward their first check. Foster Britton started trading in 10th grade, at 15, before settling on futures trading. Jerry Klamm, 19, built Geometry Spot at 16, grew it to more than 175 million pageviews and $100,000 a month in revenue before he finished high school, and left the University at Buffalo to run Krelva full time.

“Krelva Meet is the room I wish I had at 15.” Foster Britton, co-founder, Krelva

Krelva exists because of how hard Britton’s first four years were. Trading is highly complex, the internet is full of people teaching it, and most of what a beginner finds is confusing, contradictory, or sold by someone with something to sell. The question is never whether there is enough information. It is where to start and who to listen to.

“I started trading in 10th grade, in forex before anything else, and it took me four years to get it right,” Britton said. “It was not that the charts were hard. It was that there is so much online, most of it is confusing, and there is no way to know where to start or who to listen to.”

Today Krelva has two things. The first is a free beginner course that shows people where to start; it teaches the basics without promising anyone a payday. The second is Krelva Meet, which opens in October at $50 a month with a 14-day free trial: a new way to trade Nasdaq-100 and S&P 500 futures, not alone and not in a crowd of strangers, but in a small live room with people at your own verified level.

Krelva Meet started with a frustration anyone who has spent time in a trading Discord will recognize. People post their results, and some of those results are real. Screenshots are easy to fake, a few prop firms now issue verified payout cards, and none of it tells a beginner whether the person answering their question is actually where they say they are. So the beginner guesses, and the loudest voice usually wins.

Krelva Meet checks. Every trader has a level that Krelva verifies before they enter a room, and the company is building direct brokerage verification so the check happens automatically. Rooms are built from traders at the same level. Someone who has never passed a prop firm evaluation sits with others who have not either. Pass one, and you move up to rooms with traders who have passed. Get paid out, and you move up again. Alongside the rooms, Krelva is launching a rating: simple, earned over time, and moved by how you answer questions during the session rather than by what you claim. Rooms are not a signal service and tell no one what to buy or sell. They are about the process: reading the market before the open, talking it through with people at your level, and finding out afterward where and why you were right or wrong.

Krelva does not claim to make anyone a better trader faster. It is trying to give people a place to start.

“Krelva Meet is the room I wish I had at 15,” Britton said.

The HBS Foundry Bootcamp at Harvard Business School has drawn attention since its launch for its $699 price and its format, which from Krelva’s understanding pairs weekly live sessions with HBS faculty and guests with AI versions of those same professors, built to push back on weak ideas.

“I’m interested in this new program at Harvard Business School. I think using AI tools to learn is the future, but I’m curious to see how Harvard does it and if it actually works,” Klamm said. “I like that it says the AI professors are built to challenge weak ideas, so I’m going to push it to the limit and see how it performs compared to a real professor.”

The waitlist for Krelva Meet is open now at https://krelva.com.

“Most traders look at the chart at 9:30 every morning by themselves. There are thousands of other traders just like you,” Klamm said. “Why would you trade alone if you could trade with a group you trust? That is the whole idea.”

About Krelva

Krelva is a Buffalo, New York company built for futures day traders. Its free beginner course, built by co-founder Foster Britton, teaches the basics of trading. Its paid product, Krelva Meet, puts traders in small live rooms with other traders at the same verified level to trade Nasdaq-100 and S&P 500 futures together, for $50 a month with a 14-day free trial. Krelva was founded in 2026 by Jerry Klamm and Foster Britton. Learn more at https://krelva.com.

Media Contact

Jerry Klamm, Krelva, 1 716-261-7634, info@krelva.com, https://krelva.com/

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SOURCE Krelva

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Larry Ellison Cancels His Plan to Sell Oracle Stock

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8 hours ago

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September 12, 2026

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AUSTIN, Texas, Sept. 12, 2026 /PRNewswire/ — Oracle Corporation (NYSE: ORCL) today announced that Larry Ellison, Executive Chair of the Board and Chief Technology Officer, has cancelled his 10b5-1 Plan to sell Oracle stock. No Oracle stock was sold under that plan, and he has no other plans to sell any of his Oracle stock.

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Trademarks
Oracle, Java, MySQL, and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

“Safe Harbor” Statement: Statements in this press release relating to future plans, expectations, beliefs, intentions and prospects, are “forward-looking statements” and are subject to material risks and uncertainties. A detailed discussion of risks that affect our business is contained in our SEC filings, including our most recent reports on Form 10-K and Form 10-Q, particularly under the heading “Risk Factors.” Copies of these filings are available online from the SEC or by contacting Oracle’s Investor Relations Department at (650) 506-4073 or by clicking on SEC Filings on the Oracle Investor Relations website at www.oracle.com/investor/. All information set forth in this press release is current as of September 12, 2026. Oracle undertakes no duty to update any statement in light of new information or future events.

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SOURCE Oracle

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