Prompt

How do I benchmark us against competitors in Copilot results?

Technology / SEO & AEO Tools1 observationLast seen Oct 7, 2026

Latest observation

Oct 7, 2026OpenAI APIWeb search: off

To benchmark “us vs competitors” in Copilot / AI answer results, treat it like a share-of-answer + quality-of-answer study, not a classic SEO rank check. Copilot is dynamic, query-sensitive, and often blends web results, citations, and model-generated summaries.

1) Define the competitor set and query set

Start by choosing:

  • Your top 3–10 competitors
  • 20–100 target queries
    • Brand queries: “Best [category] software”
    • Problem queries: “How to do X”
    • Comparison queries: “[You] vs [competitor]”
    • Category queries: “[category] tools for [segment]”
    • Bottom-funnel queries: “pricing”, “alternatives”, “reviews”

Group queries by intent:

  • Awareness
  • Consideration
  • Decision

2) Decide what you’re measuring

For Copilot-style answers, useful metrics are:

Visibility metrics

  • Mention rate: how often your brand appears in the answer
  • Competitor mention rate
  • Top-3 inclusion rate: whether you’re named among leading options
  • Citation/share of citations: whether the answer cites your site vs competitors
  • Link inclusion rate: whether a source link points to you

Sentiment / positioning metrics

  • Positive / neutral / negative framing
  • Feature parity: which features are mentioned for each brand
  • Recommendation strength: are you explicitly recommended, or just listed?
  • Differentiation clarity: do answers explain why you’re better/worse?

Accuracy metrics

  • Claim accuracy: are facts about your product correct?
  • Message consistency: do the same talking points show up repeatedly?

3) Run a repeatable test

Because AI outputs vary, test each query multiple times:

  • Use the same prompt wording
  • Run each query 3–10 times
  • Test in:
    • Signed-in vs signed-out state
    • Different geographies, if relevant
    • Different devices/browsers if you suspect personalization

Capture for each run:

  • Query
  • Date/time
  • Prompt
  • Response text
  • Citations/links
  • Whether you or competitors are mentioned
  • Sentiment and recommendation status

4) Score the results

Create a simple rubric, for example:

Per query/run scoring

  • 0 = not mentioned
  • 1 = mentioned but not recommended
  • 2 = positively framed or cited
  • 3 = explicitly recommended / preferred

Then compute:

  • Average score per query
  • Average score by intent
  • Average score vs each competitor
  • Mention share:
    • Your mentions / total competitor mentions

5) Compare on key “decision” dimensions

For each competitor, assess whether Copilot answers emphasize:

  • Price
  • Ease of use
  • Enterprise/security
  • Integrations
  • Support
  • AI features
  • Market traction / reviews
  • Best fit by segment

This reveals whether competitors “own” certain topics in AI answers.

6) Build a dashboard

A basic spreadsheet is enough at first. Columns:

  • Query
  • Intent
  • Your mention? (Y/N)
  • Competitor A mention? (Y/N)
  • Competitor B mention? (Y/N)
  • You cited? (Y/N)
  • Competitor cited? (Y/N)
  • Recommendation score
  • Sentiment
  • Notes / excerpt

If you want a more advanced setup, use:

  • BrightEdge / Conductor / Semrush / Ahrefs for broader visibility tracking
  • A custom script or manual process for Copilot outputs
  • A BI dashboard to trend results over time

7) Benchmark against “AI answer quality,” not just mentions

Sometimes the winner is not the most-mentioned brand, but the one with:

  • More accurate descriptions
  • Better citations
  • Stronger category association
  • More frequent inclusion in “best for X” contexts

So compare:

  • Presence
  • Positioning
  • Proof
  • Persuasion

8) Watch for content and technical drivers

If competitors dominate Copilot answers, look at why:

  • Their pages are clearer and better structured
  • They have stronger third-party coverage
  • Their brand/entity signals are stronger
  • They have more authoritative backlinks and reviews
  • Their content directly answers the query better

9) Use the findings to improve

Typical actions:

  • Create comparison pages: “You vs Competitor”
  • Add concise FAQs and definitions
  • Improve schema markup
  • Strengthen thought leadership and third-party mentions
  • Publish pages that answer “best X for Y” use cases
  • Make claims easy for AI to extract and cite

10) A practical benchmark template

For each query, record:

  • Query
  • Intent
  • Your brand mentioned? Y/N
  • Competitor(s) mentioned? Y/N
  • You cited? Y/N
  • Competitor cited? Y/N
  • Answer sentiment toward you: positive/neutral/negative
  • Explicit recommendation: you / competitor / mixed / none
  • Notes

Then summarize:

  • Visibility share
  • Citation share
  • Recommendation share
  • Sentiment share

If you want, I can give you:

  1. a ready-to-use spreadsheet template, or
  2. a step-by-step Copilot benchmarking framework for your specific industry and competitors.

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?

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