Audit Brand Perception Across LLMs

Also known as: AI Brand Audit, LLM Sentiment Check, AI Visibility Baseline

Systematically test how ChatGPT, Claude, Gemini, and Perplexity portray your brand across key prompts to establish a baseline and identify gaps or inaccuracies.

What is Audit Brand Perception Across LLMs?

Impact Mechanism:
Entity Recognition
Category:
Data & Research
Effort:
Medium
Skill needed:
Strategy & Analytics
Evidence level:
Proven

How does it work?

  1. 1. Write down your correct brand facts

    Make one sheet with what you do, for whom, founding date, pricing, key products and official URLs; it is the yardstick for every answer.

  2. 2. Draft 20–30 real buyer prompts

    Mix brand questions ('What is X?'), category questions ('best tool for Y') and comparisons ('X vs Z'), phrased the way people actually ask.

  3. 3. Use clean sessions on each tool

    Use ChatGPT's Temporary Chat without personalization and Claude's incognito chat (ghost icon) so memory doesn't skew answers; test Gemini and Perplexity logged out.

  4. 4. Run each prompt several times

    Answers change from run to run, so repeat each prompt and count how often you are mentioned instead of trusting a single answer.

  5. 5. Log accuracy, tone and sources

    For each answer record: mentioned or not, wrong facts versus your sheet, sentiment, competitors named and every cited URL.

  6. 6. Save a dated baseline and repeat

    Store results with date, tool and model; rerun the same prompts each quarter and trace every wrong fact to the pages cited.