Conduct Competitive AI Visibility Analysis

Also known as: AI Competitor Benchmarking, LLM Share of Voice Comparison, Competitive GEO Audit

Compare how frequently competitors appear in AI responses for your target queries and identify which sources, formats, and strategies drive their visibility.

What is Conduct Competitive AI Visibility Analysis?

Impact Mechanism:
Citation & Attribution
Category:
Data & Research
Effort:
Medium
Skill needed:
Strategy & Analytics
Evidence level:
Emerging

How does it work?

  1. 1. Pick competitors and a fixed prompt set

    Choose 3–5 real competitors and 20–50 non-branded buyer prompts; keep the set fixed so results stay comparable over time.

  2. 2. Run prompts repeatedly on each engine

    Run every prompt several times in ChatGPT, Google AI Overviews or AI Mode, Perplexity and Copilot; one answer per prompt is too random.

  3. 3. Calculate each brand's visibility share

    Divide answers mentioning each brand by total answers; don't rely on exact list position, which almost never repeats.

  4. 4. Classify the sources cited for competitors

    List every cited URL and tag its domain, page type (listicle, review site, Reddit, video, own site) and the engine that cited it.

  5. 5. Turn gaps into a target list

    Mark prompts and cited pages where competitors appear and you don't; these become your content, outreach and PR targets.

  6. 6. Repeat monthly with the same set

    Rerun the prompts and compare share trends per engine; trackers such as Semrush Enterprise AIO, Profound or Peec AI can automate the runs.