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AEO for CMOs
Your brand is being described by AI engines every day. Do you know what they are saying?
AI visibility at a glance
Challenges cmos face with AI visibility
- No executive-level view of how AI engines describe and position your brand
- Difficulty spotting when AI engines make inaccurate claims about your products, pricing, or company
- Competitor brands appearing more prominently in AI responses for your core category queries
- Board and investor questions about AI visibility strategy that you cannot answer with data
- Marketing spend on content and PR with no measurement of impact on AI engine perception
- Fragmented view across AI engines: what ChatGPT says about your brand may differ from Perplexity or Gemini
How cmos can approach AI visibility
Ask your team to run a fixed list of brand and category prompts in each major AI engine every month and keep the answers in one shared sheet
Estimate Share of Model by counting how often your brand and each competitor appear across those answers, and report it as a directional figure
Review accuracy by comparing AI answers with a verified fact sheet for your products, pricing, and company claims
Review sentiment by collecting the descriptive phrases engines use for your brand and tagging them as positive, neutral, or negative
Prepare a one-page board summary with the method, the trend, the competitive comparison, and the top three actions
For multi-brand portfolios, use the same prompt template and sheet layout for each brand so results can be compared
Features that matter for cmos
A typical AI visibility routine
A CMO who runs this workflow starts the month by opening the shared prompt-review sheet. The marketing team has run the standard prompt list in ChatGPT, Perplexity, Gemini, and Claude. The sheet shows that the brand appears in more answers than last month on two engines and fewer on a third. One engine describes a discontinued pricing tier as current. The CMO forwards the finding to the content team as a priority fix.
During the leadership meeting, the CMO presents a short summary: the method, the share of mentions for the brand against its main competitors, and three new competitor brands that now appear in answers. The summary labels the figures as directional, because AI answers vary between runs.
Before the end of the day, the CMO reads the sentiment notes. Recent product launch coverage has moved the phrases engines use from neutral to positive. This is evidence the CMO can show the board, with the caveat that it comes from a sample of prompts. For the technical side, the team ran the free AEO Platform AI-readiness check on the main domain and confirmed that AI crawlers are not blocked. That check covers technical signals only and does not read live AI answers.
AEO for CMOs FAQ
Common workflows
AI Brand Monitoring
Check how AI engines mention, describe, and recommend your brand across the major models.
AI Competitive Intelligence
See where competitors appear in AI responses and identify gaps in your AI visibility.
AI Brand Sentiment Monitoring
Review how AI engines describe your brand's strengths, weaknesses, and positioning.
Industries where cmos use AEO
Guides for other roles
For Product Marketing
When a buyer asks an AI engine to compare your product against competitors, your positioning needs to be in that answer.
For Enterprise Marketing
Governing AI brand perception across multiple brands, markets, and business units takes a consistent method.
For Digital PR Teams
Every placement, mention, and backlink you earn is a signal that shapes how AI engines perceive and recommend brands.
Can AI crawlers read and cite your site?
Run the free check to see technical signals: AI crawler access, sitemap, llms.txt, schema markup, and FAQ and comparison pages. It does not read live AI answers. No account needed.