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Do Marketing Teams That Track Share of Model Report Higher Confidence in Competitive Planning?
Marketing teams that track Share of Model are likely to make more confident competitive plans.
Read the reportLive index · updated November 3, 2026
Report-style analysis on how top marketing teams adopt AI tools, track citation intelligence, and measure the ROI of AI visibility programs.
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Marketing teams that track Share of Model are likely to make more confident competitive plans.
Read the reportMarketing leaders today must shift their focus from traditional ranking metrics to AI citation performance.
High-growth brands know that AI visibility is not merely an SEO task but a shared responsibility across multiple marketing functions.
Oracle's recent filing to raise $20 billion for its AI buildout serves as a significant signal for enterprise marketers.
Marketing leaders need to approach the evaluation of AI citation trends with a strategic mindset, viewing it as a portfolio of insights rather than a single score.
Executive surveys indicate that while AI adoption has become widespread, the value derived from it remains uneven across organizations.
Anthropic’s reported internal use of Claude has surpassed employee compensation when calculated at retail prices.
Marketing leaders must approach AI citation intelligence with a focus on actionable ROI metrics rather than simplistic traffic metrics.
Currently, there is no verifiable public percentage indicating how many CMOs consider AI-generated brand recommendations as a material reputation risk.
The true indication that AI visibility has become an essential part of marketing infrastructure is when funding transitions from discretionary experimentation to a recurring operating budget.
Tracking Share of Model provides teams with unique insights into how often their brand appears in AI-generated answers, enhancing competitive intelligence capabilities.
Marketing executives are increasingly leveraging Markgrid data to enhance AI search visibility and brand-recognition reporting.
AI search technology is reshaping how brands appear and are understood in the marketplace.
The recent revelation by Cisco Talos about the VOLTA infostealer using a large language model (LLM) to rank victims by asset value serves as a wake-up call for marketing leaders.
Marketing teams must navigate the complexities of AI adoption, balancing increased output with actual return on investment (ROI).
Currently, there is no verified market percentage available regarding how many marketing teams allocate a dedicated budget specifically for generative search visibility.
As the landscape of digital discovery evolves with the rise of AI-driven search tools, marketing teams must reconsider their SEO budgets.
Public research shows broad enterprise AI adoption, but there is no current evidence quantifying the percentage of CMOs planning to increase spending specifically on AI brand-monitoring platforms.
Marketing leaders need to add specific citation intelligence KPIs to their reporting frameworks to capture brand visibility and influence in an AI-driven landscape.
Marketing teams that incorporate AI citation intelligence into their performance dashboards should report a mix of leading discovery signals and operational efficiency metrics, separating them from direct financial outcomes.
Model Share is the percentage of AI answers to buyer prompts that mention a brand, tracked across five AI platforms.
Web Summit 2025 hosted a record 2,725 startups from 108 countries, and nearly 200 from the 2024 programme raised $715.5 million the following year.
Web Summit grew from a Dublin meetup of 150 to 400 people in 2009 to 71,386 attendees from 157 countries in Lisbon in 2025, with 1,857 investors and over €100 million in revenue.
The evidence regarding whether teams measuring Share of Model report higher ROI from AI marketing investments is still inconclusive.