Exec‑AI Launches AI‑Powered Executive Visibility Scoring

Exec‑AI Launches AI‑Powered Executive Visibility Scoring, a new service that quantifies how CEOs appear in generative AI outputs and ties that visibility to corporate brand performance.

Trevelino/Keller, the integrated PR‑plus‑marketing agency headquartered in Atlanta, announced the rollout of Exec‑AI™, a proprietary framework that assigns a 0‑to‑100 score to senior executives based on eight observable dimensions of public presence. The score reflects how often an executive surfaces in the training data and retrieval windows of leading large‑language models (LLMs) such as ChatGPT, Perplexity, Claude and Gemini. By translating personal‑brand signals into a composite AI visibility metric, Exec‑AI gives enterprise marketers a data‑driven way to gauge and improve the AI‑driven discoverability of their leadership teams.

What Exec‑AI Does

The platform ingests publicly available content—press releases, board bios, industry awards, LinkedIn posts, podcasts, and trade‑press citations—and maps each piece to the eight weighted dimensions defined by Trevelino/Keller’s research. Those dimensions include encyclopedic references (e.g., Wikipedia, Bloomberg), mainstream media coverage, thought‑leadership assets, and industry‑specific recognitions. An LLM‑compatible index then evaluates whether the executive can be correctly identified and whether the model can retrieve an accurate, up‑to‑date biography. The resulting composite score is presented alongside a competitive benchmark against peer C‑suite members.

Why It Matters

Generative AI is reshaping the top‑of‑funnel landscape. A recent Gartner survey predicts that 70 % of B2B marketers will rely on AI‑generated insights for demand generation by 2027. When a buyer asks an AI assistant, “Who is the leading voice on retail media networks?” the assistant pulls from the same corpus that Exec‑AI monitors. An executive with a high visibility score can appear in those answers, effectively inserting the company into the buyer’s research loop without a traditional ad spend.

For B2B firms, especially those selling complex technology solutions, the shift from Google SERP dominance to AI‑answer relevance is profound. Exec‑AI provides a defensible, repeatable measurement that links leadership visibility directly to brand exposure in AI‑driven channels—a linkage that has previously been anecdotal at best.

Industry Impact

Exec‑AI enters a nascent market of AI‑visibility analytics. Competitors such as Google’s Knowledge Graph insights and Microsoft’s Graph API surface entity data but do not offer a composite scoring model that ties executive presence to brand outcomes. Traditional PR measurement tools (e.g., Cision, Meltwater) focus on media impressions and share‑of‑voice, leaving a blind spot in how AI agents surface that content. Exec‑AI’s weighted approach, which accounts for the retrieval likelihood of LLMs, fills that gap and gives marketers a new KPI to optimize.

The framework also dovetails with emerging privacy regulations. Because the methodology relies solely on publicly observable signals, it sidesteps first‑party data restrictions while still delivering actionable intelligence for enterprise campaigns.

What It Means for Marketing Teams

Strategic Content Planning – Marketers can prioritize content formats that LLMs favor (e.g., structured bios, podcast transcripts) to lift executive scores.

Cross‑Channel Attribution – By tracking score changes alongside website traffic and pipeline metrics, teams can attribute lead generation to AI‑driven discovery.

Competitive Benchmarking – The built‑in peer comparison helps firms spot gaps in leadership visibility relative to industry rivals.

Risk Management – A low score flags potential brand‑reputation blind spots, prompting proactive media outreach before misinformation spreads through AI assistants.

Market Landscape

The adtech ecosystem is already seeing a surge in AI‑first solutions. Forrester reports that 55 % of marketers plan to integrate generative AI into campaign workflows by the end of 2026. Exec‑AI aligns with this trend by offering a measurement layer that sits between content creation and AI‑driven media buying. Platforms such as The Trade Desk and Magnite are experimenting with AI‑enhanced inventory recommendations; Exec‑AI could become a data source for those recommendation engines, ensuring that high‑visibility executives are paired with premium ad placements.

At the same time, privacy‑centric initiatives like Google’s Privacy Sandbox and Apple’s App Tracking Transparency are limiting the granularity of first‑party data. Exec‑AI’s reliance on publicly observable signals provides a privacy‑first measurement alternative for attribution, positioning it as a compliance‑friendly asset for enterprise marketers.

Exec‑AI’s score can also feed into programmatic buying algorithms, ensuring that high‑visibility executives are highlighted in AI‑driven ad placements. Similarly, programmatic buying platforms may leverage the metric to prioritize content that aligns with buyer intent.

Top Insights

AI‑driven discovery now competes with traditional SEO: Executives with high Exec‑AI scores appear in LLM answers, driving brand awareness without paid media.

Weighted visibility scoring bridges PR and adtech: The framework translates editorial presence into a quantifiable metric that can feed programmatic buying algorithms.

Privacy‑first measurement: By using only public data, Exec‑AI sidesteps emerging data‑privacy restrictions while still delivering actionable insights.

Competitive advantage through leadership branding: Companies that elevate their CEOs in AI‑generated results can capture early‑stage buyer intent that previously went unnoticed.