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BERA.ai Launches LLM Brand Rankings, Connecting How AI Models See Your Brand to Revenue and Growth

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AI

BERA.ai (STGW) launched LLM Brand Rankings, a new capability inside its BERA brand management platform. The tool lets marketers compare their BERA Score and Love Curve position with how leading LLMs like ChatGPT, Gemini, and Claude rank their brands.

It surfaces LLM rankings by category, reveals key content sources shaping those rankings, and links AI visibility to BERA's Brand-to-Business analysis, connecting brand equity to sales, revenue, and enterprise value. LLM Brand Rankings is available now to BERA.ai clients.

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Positive

  • New LLM Brand Rankings capability added to the BERA brand management platform
  • Connects LLM brand visibility to Brand-to-Business analysis tied to revenue and enterprise value
  • Single view comparing BERA Score, Love Curve position, and LLM ranking performance
  • Shows key sources driving each LLM ranking and suggested steps to improve visibility

Negative

  • None.

News Market Reaction – STGW

+5.42%
+5.42% Session close to close

In the Jun 1 session, STGW gained 5.42%, reflecting a notable positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved +5.4% in the session following this news. A strong positive reaction aligns with Sta...
Analysis

The stock moved +5.4% in the session following this news. A strong positive reaction aligns with Stagwell’s ongoing push to position AI as a core differentiator, from Agent Cloud toolkits to BERA.ai’s Brand-to-Business™ analytics. Past AI-tagged news produced mixed moves, so a sizeable gain on this announcement would suggest investors see clearer revenue linkage in tying LLM brand rankings to business outcomes. Elevated volume and existing leverage levels could later influence how sustainable such strength proves.

Key Figures

Q1 2026 revenue: $704.1M Q1 2026 net loss: $13.9M Adjusted EBITDA: $89.7M +5 more
8 metrics
Q1 2026 revenue $704.1M Up from $651.7M in prior-year quarter
Q1 2026 net loss $13.9M Wider than $5.3M loss a year earlier
Adjusted EBITDA $89.7M Improved from $82.3M in prior-year quarter
Operating cash flow ($26.5M) Cash used, improved from ($60.0M) prior year
Cash balance $114.9M Quarter-end cash position
Long-term debt $1.44B Credit facility and 5.625% senior notes
Share repurchases 7.3M shares / $44.9M Class A shares repurchased in Q1 2026
2026 EPS guidance $0.98–$1.12 Reiterated adjusted EPS outlook for 2026

Previous AI Reports

5 past events · Latest: May 18 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 18 AI award recognition Positive +6.1% AI Pioneer award for Code and Theory’s marketing-focused AI systems and tools.
May 11 AI agent launch Positive -3.4% BERA.ai Brand-to-Business™ AI Agent launch for board-ready brand impact reports.
May 04 AI workforce survey Neutral -0.6% Milken Institute-Harris Poll report on AI workforce policy and readiness attitudes.
Apr 28 Agent toolkit launch Positive -1.2% Marketing Cloud’s 10-agent toolkit for SMBs and in-house teams using leading LLMs.
Apr 27 AI TV ad platform Positive -0.7% Stagwell Curate TV ad platform integrating FreeWheel’s Curation Hub and Buyer Cloud.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-related announcements have produced mixed reactions: one strong positive move alongside several mild negative responses, suggesting investor selectivity around which AI initiatives are seen as financially impactful.

Recent Company History

Over recent months, Stagwell has repeatedly highlighted AI initiatives across its platform. Prior AI-tagged news covered an AI Pioneer award for Code and Theory on May 18, 2026, a Brand-to-Business™ AI Agent launch at BERA.ai on May 11, and AI workforce research, an Agent Cloud toolkit, and an AI-powered TV platform between April 27–28. Price reactions to these AI updates have been inconsistent, indicating that investors differentiate between branding, tools, and clearly revenue-linked AI capabilities, which is relevant to today’s BERA.ai LLM rankings launch.

Key Terms

large language models, LLMs, generative engine optimization, AI assistants
4 terms
large language models technical
"For the first time, marketers can see how large language models (LLMs) rank their brand"
Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.
LLMs technical
"How leading LLMs such as Gemini, ChatGPT, and Claude rank their brand across the categories"
Large language models are advanced computer programs that read and generate human-like text by learning patterns from huge amounts of written material; think of them as digital employees that can draft reports, answer questions, summarize documents, or generate code. They matter to investors because they can change a company’s costs, speed of product development, customer service, and competitive edge — and they also create new risks and regulatory questions that can affect profits and valuation.
generative engine optimization technical
"Coupled with new Generative Engine Optimization (GEO) integrations, BERA can recommend ways"
Generative engine optimization is the process of improving a computer system that creates content—like text, images or code—so it produces more accurate, faster, and less costly results. For investors, it matters because better optimization can boost a product’s quality and speed to market, lower computing costs, and create a competitive edge similar to tuning a car engine to get more miles per gallon and smoother performance.
AI assistants technical
"As consumers increasingly turn to ChatGPT, Gemini, Claude, and other AI assistants to discover"
AI assistants are software tools that use artificial intelligence to perform tasks like answering questions, summarizing documents, and automating routine work; think of them as skilled, fast digital helpers that handle information and repetitive chores. For investors, they can lower operating costs, speed research and decision-making, and reshape competitiveness and profitability across industries, while also introducing risks around accuracy, data security and regulatory oversight.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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New capability embedded in the BERA brand management platform lets marketers compare their BERA Score and Love Curve position against how leading LLMs rank their brand

NEW YORK CITY, NY / ACCESS Newswire / June 1, 2026 / BERA.ai, the only brand measurement platform to tie brand equity to revenue and business growth, today announced the debut of BERA LLM Brand Rankings, a new capability built directly into the BERA platform. For the first time, marketers can see how large language models (LLMs) rank their brand alongside the proprietary BERA Score and Love Curve, with the ability to understand what to do next to improve their LLM rankings.

As consumers increasingly turn to ChatGPT, Gemini, Claude, and other AI assistants to discover, compare, and choose brands, a brand's visibility inside LLMs has become a new front in the battle for growth. Until now, marketers had to leverage SEO-focused tools to track AI rankings, with no way to connect that visibility to brand equity or revenue; BERA.ai closes that gap.

"Brand has always lived wherever consumers make decisions, and today, more of those decisions start with a prompt to an LLM," said Kraig Schulz, Chief Customer Officer at BERA.ai. "We're showing brand leaders how their BERA Score, position on the Love Curve, and LLM rankings move together, as well as how to improve their brand position with LLMs. Coupled with new Generative Engine Optimization (GEO) integrations, BERA can recommend ways to improve your brand position with LLMs. That, along with our Brand-to-Business connection, is a category of insight you can't get anywhere else."

What LLM Brand Rankings unlocks

Embedded inside the BERA platform, LLM Brand Rankings gives brand, marketing, and insights teams a single view of:

  • How leading LLMs such as Gemini, ChatGPT, and Claude rank their brand across the categories

  • Side-by-side comparison of their BERA Score and Love Curve position against LLM ranking performance, exposing where brand equity and AI visibility align or diverge

  • The key sources defining each ranking, so teams can see how AI models define their brand as well as what steps to take to improve their LLM rankings

  • The connection to Brand-to-Business, BERA's proprietary analysis linking brand equity to sales, revenue, and enterprise value, so LLM visibility is measured against business outcomes, not vanity metrics

Built for the brands that already trust BERA.ai

BERA.ai is the only brand measurement platform that ties brand equity back to revenue and business growth. Its Brand-to-Business analysis is trusted by Fortune 500 companies to measure and predict the financial value of brand investment. LLM Brand Rankings extends that same rigor into the AI era, giving enterprise marketers a defensible, decision-grade view of AI visibility not a standalone SEO add-on disconnected from how the brand actually performs.

LLM Brand Rankings is available now to BERA.ai clients inside the BERA brand management platform.

About BERA.ai

BERA.ai is the only brand intelligence platform that measures the true Brand-to-Business connection, proving how brand equity drives revenue, growth, and long-term value. Independently validated by third parties, BERA's approach delivers actionable insights that help the world's leading brands defend, justify, and optimize their marketing investments. BERA.ai is headquartered in Chicago, IL. Learn more at bera.ai.

About The Marketing Cloud

The Marketing Cloud (formerly Stagwell Marketing Cloud) is a data-driven suite of AI-powered SaaS and service solutions built for the modern marketer. Powered by proprietary data and advanced tools spanning research, communications, creative, and media, it enables organizations to achieve measurable business outcomes by making smarter decisions, faster. The Marketing Cloud was born out of Stagwell's (NASDAQ:STGW) award-winning network, known for delivering creative performance for ambitious brands.

Media Contact:

Alyssa Bourne-Peters, PR Director
Alyssa.Bourne-Peters@themarketingcloud.com
+1 917-592-9795

SOURCE: Stagwell



View the original press release on ACCESS Newswire

FAQ

What is BERA LLM Brand Rankings launched on June 1, 2026 for STGW?

BERA LLM Brand Rankings is a platform feature that compares brand equity metrics to LLM rankings. According to BERA.ai, it lets marketers see how ChatGPT, Gemini, and Claude rank their brands alongside BERA Score and Love Curve performance.

How does BERA LLM Brand Rankings connect AI visibility to revenue for STGW investors?

LLM Brand Rankings links AI visibility to BERA.ai's Brand-to-Business analysis of financial outcomes. According to BERA.ai, it ties LLM rankings to sales, revenue, and enterprise value, moving beyond vanity metrics toward decision-grade brand performance insights.

What data does BERA LLM Brand Rankings provide about brand performance in LLMs?

LLM Brand Rankings shows how leading LLMs rank a brand across categories and key defining sources. According to BERA.ai, it also compares these rankings with BERA Score and Love Curve to reveal where brand equity and AI visibility align or diverge.

Who can use BERA LLM Brand Rankings and how is it accessed?

LLM Brand Rankings is available to existing BERA.ai clients inside the BERA platform. According to BERA.ai, it is embedded in the brand management workflow for brand, marketing, and insights teams, requiring no separate SEO or third-party AI ranking tool.

How does BERA LLM Brand Rankings differ from traditional SEO tools for AI rankings?

LLM Brand Rankings integrates AI rankings directly with proprietary brand equity and financial value metrics. According to BERA.ai, it focuses on connecting LLM visibility to sales, revenue, and enterprise value rather than treating AI rankings as standalone SEO indicators.

What practical actions can marketers take using BERA LLM Brand Rankings?

Marketers can identify misalignment between brand equity and LLM visibility and target improvement areas. According to BERA.ai, GEO integrations and source-level insights help teams optimize how AI models define their brands and enhance ranking performance over time.