As AI-powered search reshapes how businesses research products, compare vendors, and evaluate brands, marketing leaders are rethinking how they measure the impact of public relations. Brandi AI, an enterprise platform focused on Brand Intelligence, AI Visibility, and Generative Engine Optimization (GEO), has published a new forecast arguing that AI-generated answers will make the influence of PR on revenue more measurable over the next decade, potentially shifting marketing investment toward reputation-building activities.

Brandi AI has released a new industry forecast suggesting that the rapid adoption of AI-powered search could fundamentally change how organizations allocate marketing budgets and measure the value of public relations.

The forecast, authored by Brandi AI CEO Leah Nurik, argues that as buyers increasingly rely on conversational AI platforms such as ChatGPT, Google AI Overviews, Google Gemini, Claude, and Perplexity to research products and compare vendors, marketing teams will gain new ways to evaluate how brand reputation influences purchasing decisions.

Rather than viewing public relations primarily as a brand awareness function, the report suggests AI-generated answers could provide measurable signals showing how earned media, executive thought leadership, analyst coverage, customer advocacy, and other reputation-building activities influence AI recommendations.

Generative Engine Optimization (GEO), sometimes referred to as Answer Engine Optimization (AEO), is the practice of improving how AI systems understand, reference, and recommend brands by strengthening authoritative content, structured information, and trusted third-party signals.

According to Brandi AI, AI search is introducing a new layer of marketing measurement. Traditional performance marketing has long relied on metrics such as impressions, clicks, conversions, and return on ad spend (ROAS). Public relations, by comparison, has often struggled to establish a direct connection between communications activity and commercial outcomes.

The growing adoption of conversational AI may begin to narrow that measurement gap.

Instead of measuring only website traffic generated by media coverage, organizations may increasingly evaluate whether news articles, executive interviews, customer case studies, analyst reports, industry awards, and independent reviews influence how AI assistants describe their brands.

Brandi AI argues that this shift will encourage organizations to monitor several emerging indicators, including AI brand inclusion, recommendation frequency, sentiment, competitive positioning, associated brand attributes, and the third-party sources most frequently referenced by AI systems.

The forecast is supported by broader changes occurring across digital discovery. OpenAI has reported that ChatGPT has surpassed 900 million weekly active users, while Google has said AI Overviews now serve more than 2 billion monthly users globally. Meanwhile, McKinsey & Company estimates that AI-powered search could influence approximately $750 billion in revenue by 2028, reflecting its growing role in customer decision-making.

These trends suggest that AI assistants are evolving beyond simple information retrieval into platforms that increasingly influence vendor evaluation and purchase consideration.

Unlike conventional search engines, conversational AI often guides users through multiple stages of the buying journey within a single interaction. Buyers can define requirements, compare competing products, assess strengths and weaknesses, evaluate risks, and generate vendor shortlists before ever visiting a company's website.

This evolution introduces new challenges for enterprise marketers.

Appearing frequently within AI-generated answers does not necessarily indicate positive brand positioning. AI systems may associate companies with outdated technologies, premium pricing, limited capabilities, or unfavorable competitive comparisons depending on the information available across the public web.

For that reason, Brandi AI argues organizations should evaluate not only visibility but also the context surrounding AI-generated recommendations.

The company also distinguishes AI visibility from traditional search engine optimization. While technical SEO, structured data, and website accessibility remain important, AI platforms increasingly synthesize information from diverse sources including news coverage, analyst reports, customer reviews, community discussions, academic research, executive commentary, and industry publications.

This broader information ecosystem means authoritative content and third-party validation may become increasingly important components of enterprise marketing strategies.

Industry analysts have similarly noted the growing importance of trusted digital content. Gartner has identified generative AI as a transformative force in digital customer engagement, while Forrester continues to emphasize first-party expertise, thought leadership, and customer trust as critical competitive differentiators in AI-driven marketing environments.

Competition within the AI visibility market is also expanding. Alongside traditional SEO platforms, a growing number of technology providers now offer GEO, AI search analytics, entity monitoring, brand intelligence, and AI citation measurement to help organizations understand how they are represented across conversational AI platforms.

For enterprise marketing teams, this evolution could reshape collaboration across departments. Content marketing, digital marketing, product marketing, communications, SEO, public relations, and analyst relations may increasingly contribute to a shared objective: ensuring AI systems accurately understand and recommend the organization's expertise.

While the long-term impact remains to be seen, Brandi AI's forecast highlights a broader shift already underway across enterprise marketing. As AI becomes a primary gateway for business research and purchasing decisions, marketers are likely to place greater emphasis on authoritative content, credible public evidence, and measurable brand reputation alongside traditional demand generation and advertising metrics.

Market Landscape

The rise of AI-powered search is creating a new category of enterprise marketing focused on AI visibility, brand intelligence, and Generative Engine Optimization (GEO). As conversational AI platforms become integral to B2B buying journeys, organizations are investing in technologies that measure AI citations, brand sentiment, entity recognition, and recommendation quality alongside traditional SEO and digital analytics. This shift is encouraging closer alignment between SEO, PR, content marketing, and corporate communications.

Top Insights

• Brandi AI predicts AI-generated search experiences will provide marketers with more measurable indicators connecting public relations activities to business outcomes by 2030.
• The company argues that Generative Engine Optimization is emerging as a distinct marketing discipline focused on improving brand visibility within AI-generated answers.
• AI-powered search is expanding marketing measurement beyond website traffic to include AI citations, sentiment, recommendation frequency, and competitive positioning.
• Enterprise marketing teams may increasingly integrate SEO, PR, analyst relations, and content marketing around a unified AI visibility strategy.
• Growing adoption of ChatGPT, Google AI Overviews, Gemini, Claude, and Perplexity is accelerating demand for AI brand intelligence and visibility analytics.

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