Prompt
I need separate IPs for transactional email, what should I use?
Latest observation
For separate IPs for transactional email, you generally want to use a dedicated IP address (or a small pool of dedicated IPs) from your email delivery provider.
What to use
- Dedicated IP for transactional mail if you send enough volume to keep it “warmed up”
- Shared IP if your transactional volume is low and you don’t want to manage warming/reputation
Best practice for transactional email
Use a dedicated IP dedicated only to transactional messages, such as:
- password resets
- receipts/invoices
- account alerts
- verification emails
Important notes
- If you use a dedicated IP, you’ll need to warm it up gradually
- Keep transactional and marketing mail completely separated
- Make sure you also have:
- SPF
- DKIM
- DMARC
- Monitor reputation and bounces closely
Rule of thumb
- Low volume: shared IP
- Consistent moderate/high volume: dedicated IP
- Very high volume: dedicated IP pool with careful segmentation
If you tell me your approximate daily volume and provider (e.g. SendGrid, Mailgun, SES, Postmark), I can recommend the best setup.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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