Prompt

build a competitor benchmarking report for AI mentions

Technology / SEO & AEO Tools1 observationLast seen Oct 16, 2026

Latest observation

Oct 16, 2026OpenAI APIWeb search: off

Sure — I can build that. To make it useful, I need one quick clarification:

What do you mean by “AI mentions”?
For example:

  1. Brand mentions in AI tools/search like ChatGPT, Perplexity, Gemini, Claude
  2. Mentions of your brand in news/social/media related to AI
  3. AI product mentions comparing competitors’ AI features
  4. AI-generated search visibility / share of voice

If you want, I can also give you a ready-to-use competitor benchmarking report template right now. Here’s a solid version you can adapt:


Competitor Benchmarking Report: AI Mentions

1) Executive Summary

This report benchmarks competitor visibility in AI-related mentions across major AI platforms, owned content, and third-party sources. It identifies which brands are most frequently surfaced, in what context, and where opportunities exist to increase share of voice.

2) Objectives

  • Measure how often competitors are mentioned in AI-generated responses
  • Compare sentiment and context of mentions
  • Identify themes and feature associations
  • Highlight content gaps and visibility opportunities

3) Competitors Benchmarked

CompetitorCategoryNotes
Brand APrimary competitorHigh AI visibility
Brand BPrimary competitorStrong enterprise presence
Brand CSecondary competitorEmerging AI differentiation

4) Channels Analyzed

  • ChatGPT responses
  • Perplexity results
  • Gemini answers
  • Claude outputs
  • Google AI Overviews
  • News articles and blogs
  • Social platforms / forums
  • Owned web content and PR

5) Benchmark Metrics

MetricDescription
Mention frequencyHow often brand appears in AI responses
Share of voice% of total competitor mentions
SentimentPositive / neutral / negative context
Topic associationCommon themes linked to the brand
Recommendation rateHow often AI recommends the brand
Citation presenceWhether AI cites authoritative sources

6) Findings Summary

Share of Voice

  • Brand A: 38%
  • Brand B: 27%
  • Brand C: 18%
  • Your Brand: 17%

Sentiment

  • Brand A: Mostly positive, often associated with innovation
  • Brand B: Neutral, frequently mentioned for reliability
  • Brand C: Mixed, stronger in niche use cases
  • Your Brand: Under-mentioned relative to competitors

Top Association Themes

  • Automation
  • Productivity
  • Enterprise adoption
  • Pricing
  • Security
  • Integrations

7) Competitive Insights

What competitors are doing well

  • Publishing high-authority AI content
  • Earning media coverage and backlinks
  • Appearing in comparison pages and listicles
  • Creating product pages optimized for AI retrieval

Gaps and opportunities

  • Limited mention of your brand in comparison content
  • Few citations from authoritative third-party sites
  • Weak association with key AI use cases
  • Missing structured data and FAQ content

8) Recommendations

  1. Publish AI-focused comparison pages
    Target queries like “best AI tools for X” and “Brand A vs Brand B.”

  2. Increase authoritative mentions
    Earn coverage in industry publications, review sites, and analyst content.

  3. Optimize for AI retrieval
    Use concise definitions, FAQs, schema markup, and clear product messaging.

  4. Build topic authority
    Create content clusters around your core AI use cases.

  5. Monitor AI answers regularly
    Track changes in mention frequency and sentiment monthly.

9) KPI Dashboard

KPICurrentTarget
AI mention share17%25%
Positive sentiment42%60%
Citation count1230
AI comparison page visibilityLowMedium
Third-party mentions8/month20/month

10) Next Steps

  • Define competitors and target AI platforms
  • Run baseline prompt tests
  • Gather results and score mentions
  • Create a monthly reporting cadence

If you want, I can turn this into one of these formats:

  1. A polished executive-style report
  2. A spreadsheet/table template
  3. A prompt-based methodology for collecting AI mentions
  4. A filled-in report using your competitors and brand

If you share your brand name, competitors, and industry, I can draft the report customized for you.

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.