Email Marketing AEO Readiness
Email campaign, automation, and newsletter platforms
15 of 15 sites scanned · ranked by overall readiness score
Cited by AI answer engines
In the week of Oct 11, 2026, b/cited asked OpenAI (gpt-4.1-mini), Anthropic (claude-sonnet-4-6) and Perplexity (sonar) 5 email marketing buying questions and recorded which sites each answer cited. 15 of 15 prompt-and-engine pairs completed.
This is engine output, not a scanner score. A citation is not a recommendation or an endorsement, and the prompts are a sample, not a census. Counts are out of the prompts each engine actually answered that week.
- sequenzy.com — cited on 3 of 15 pairs, best #1 (Perplexity)
- blog.hubspot.com — cited on 3 of 15 pairs, best #3 (OpenAI, Perplexity)
- emailvendorselection.com — cited on 2 of 15 pairs, best #1 (Perplexity)
- sendinblue.com — cited on 2 of 15 pairs, best #3 (OpenAI)
- benchmarkemail.com — cited on 2 of 15 pairs, best #4 (OpenAI, Perplexity)
- emailtooltester.com — cited on 2 of 15 pairs, best #4 (Perplexity)
- forbes.com — cited on 2 of 15 pairs, best #4 (Perplexity)
- kajabi.com — cited on 2 of 15 pairs, best #4 (OpenAI, Anthropic)
- sender.net — cited on 2 of 15 pairs, best #4 (Perplexity)
- zapier.com — cited on 2 of 15 pairs, best #5 (Perplexity)
How scores are calculated
Each site is scanned for 30+ signals across nine categories: indexing, metadata, social cards, structured data, AEO (llms.txt, ai.txt, AI crawler stance, FAQ/HowTo schema), international, mobile, security headers, and Core Web Vitals.
The AEO score weights the signals that specifically influence whether AI engines can cite a page — llms.txt presence, AI crawler allowance in robots.txt, and citation-friendly structured data like FAQPage and Author schema.
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