The Los Angeles‑based creative and communications firm The Pollack Group (TPG) announced a strategic alliance with Brandi AI, the leading platform for enterprise brand intelligence and AI visibility. The partnership, formalized on July 7 2026, adds Brandi AI’s Generative Engine Optimization (GEO) service to TPG’s portfolio, allowing corporate clients to monitor and influence how their brands surface in answers generated by large language models such as ChatGPT, Google Gemini, Anthropic Claude and Perplexity.
From Search to AI‑Generated Answers
Generative AI has shifted the discovery process from traditional search results to conversational answer engines. When a user asks a question, the model pulls from indexed web content, citations, and other signals to craft a response. For brands, appearing accurately—and prominently—in those answers can be as valuable as ranking on the first page of Google. Yet many companies lack visibility into whether they are mentioned at all, or if the information presented aligns with their messaging.
Brandi AI’s platform addresses that gap by continuously scanning AI answer outputs, identifying brand mentions, and scoring the credibility of the sources that feed the model. The service surfaces gaps such as missing context or weak trust signals, then recommends concrete actions to improve a brand’s “AI footprint.”
How TPG Plans to Leverage the Technology
TPG will embed Brandi AI’s intelligence layer into its existing client workflows. The integration begins with a brand audit that maps current AI‑generated answer appearances, followed by an ongoing optimization cycle that strengthens credibility signals—like authoritative citations, structured data, and clear, evidence‑backed content.
“With Brandi AI, we can demonstrate to clients how they appear inside AI‑generated answers, and, just as importantly, why they do or don’t show up,” said Jackie Liu, senior vice president at The Pollack Group. “Brandi AI reveals what’s influencing visibility across tools like ChatGPT and Claude, from missing context to weak trust signals so that we can take clear, data‑backed action.”
The partnership spans TPG’s diverse practice areas, including consumer brands, technology firms, travel and tourism operators, financial services providers, and nonprofit organizations. By treating AI visibility as a continuous SEO and social metric, TPG aims to help clients turn what is currently an opaque discovery channel into a measurable asset.
Strategic Implications for the Enterprise AI Landscape
Leah Nurik, co‑founder and CEO of Brandi AI, framed the collaboration as a response to a broader market inflection point: “We’re at an inflection point where AI is becoming the first stop in the buyer journey, and agencies like TPG that build this capability now won’t just help clients keep up —they’ll help them lead.” The statement underscores a growing consensus among enterprise tech analysts that AI‑driven answer engines will soon rival traditional search as the primary gateway to information.
For enterprises, the ability to audit AI‑generated answers offers several tangible benefits:
- Risk mitigation – Detecting inaccurate or outdated brand references before they influence purchasing decisions.
- Competitive advantage – Securing citations in high‑intent answers can boost perceived authority relative to rivals.
- Content strategy alignment – Directing content creation toward the question formats that AI models prioritize, improving overall relevance.
- Metrics for leadership – Providing CEOs and CMOs with a new KPI—AI visibility score—that complements SEO and social media metrics.
Frequently Asked Questions
How can a brand know if AI platforms are accurately describing its company, products or services?
Brands can simulate the queries their audiences are likely to pose to AI systems, then compare the model’s responses with the company’s official positioning, product details, and proof points. This side‑by‑side analysis reveals whether the brand appears, how it is portrayed, and which external sources are influencing the answer.
What types of content help brands appear more often in AI‑generated answers?
AI models favor content that directly addresses high‑intent questions and is supported by verifiable evidence. Effective assets include detailed service pages, product explainers, comparison matrices, case studies, thought‑leadership pieces, earned media coverage, analyst citations, customer reviews, FAQs, and authoritative industry commentary.
Why does AI visibility matter if a brand already performs well in traditional search engine results?
Search rankings and AI‑generated answer inclusion are distinct outcomes. A brand may dominate SERPs yet be absent or mischaracterized in conversational answers from ChatGPT, Google AI Overviews, Perplexity, Claude, or Gemini. Overlooking AI visibility can leave a critical discovery channel underutilized.
How often should companies monitor how they appear in AI‑generated answers?
Because AI answer engines evolve with every new piece of online content, continuous monitoring is advisable. Companies should especially review visibility during product launches, messaging refreshes, market expansions, funding rounds, reputation events, and competitive campaigns.
Power Tomorrow’s Intelligence — Build It with TechEdgeAI
