Prompt
What should I use to compare ChatGPT and Perplexity visibility?
Latest observation
If you want to compare ChatGPT vs. Perplexity visibility, the best thing to use depends on what you mean by “visibility”:
1) If you mean brand / content presence in AI answers
Use a prompt tracking tool or AI search visibility platform that can test the same prompts across both systems and measure:
- whether your brand appears
- how often it appears
- where it appears in the answer
- sentiment / context
- citation frequency
Examples of tools in this category:
- Profound
- Otterly.AI
- Semrush AI visibility features (where available)
- Scrunch AI
- Peec AI
- Rankscale AI
2) If you mean general web visibility
Use traditional SEO tools alongside AI visibility:
- Google Search Console
- Bing Webmaster Tools
- Semrush / Ahrefs / Similarweb
- Screaming Frog for technical SEO
- Google Analytics for traffic impact
3) If you want a simple practical comparison
The easiest method is:
- Build a list of 20–100 important prompts
- Run them in ChatGPT and Perplexity
- Record:
- whether your site/brand is mentioned
- whether a link is cited
- ranking/order in the answer
- accuracy and context
- Repeat weekly or monthly
A spreadsheet or dashboard can work if you want to do it manually.
Best recommendation
If you want a dedicated comparison, use a generative engine optimization / AI visibility platform like Otterly.AI or Profound.
If you want a low-cost setup, use a manual prompt tracker spreadsheet plus Google Search Console and Bing Webmaster Tools.
If you want, I can help you build a comparison template for ChatGPT vs. Perplexity visibility.
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.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.