Track How ChatGPT, Gemini, and Perplexity Describe Your Brand — Quontora AI Brand Audit

When a potential customer asks ChatGPT "who is the best [your category] company," or asks Gemini to summarize your brand before a purchase decision, what do those AI systems actually say? If you don't know the answer, you're flying blind in the channel that's rapidly replacing the first page of Google. Quontora exists to answer that question — precisely, repeatedly, and with enough detail to act on.

We are Quontora — The Company Behind AI Subtext. Our core work is making AI interpretability visible and actionable for brands, startups, agencies, and mission-driven teams. If you're ready to hire an AI brand auditing service that tracks how ChatGPT and Gemini describe your company, this page explains exactly what we do, how we do it, and what you'll receive.

Why "How AI Describes Your Brand" Is Now a Business-Critical Question

AI language models — ChatGPT, Gemini, Perplexity, Claude, and others — are increasingly the first stop for buyers researching vendors, validating companies, and forming purchase intent. Unlike a search engine that returns a list of links, an LLM returns a narrative. It synthesizes your website, your mentions across the web, and its own training data into a single, confident-sounding description of who you are.

That narrative may be accurate. It may be outdated. It may associate your brand with a product line you discontinued, a market position you've moved away from, or a competitor's talking points. You won't know unless you systematically query those models and analyze the output — which is exactly what Quontora does.

What Quontora's AI Brand Audit Covers

Our AI brand auditing service is built around a core product called AI Subtext — a structured report that shows how AI systems interpret and summarize your website and brand presence. The audit checks three dimensions that determine whether AI presents your brand with clarity and credibility:

This is not an SEO audit. We are not measuring rankings. We are measuring AI interpretation — the language models actually use when they describe your company to someone who asks.

Our Methodology: How We Track What AI Says About You

Quontora runs structured query sets across multiple large language models to capture a complete picture of your brand's AI representation. Here is what that process looks like in practice:

Step 1 — Query Design

We build a query set that mirrors how real buyers and researchers ask about your brand and category. This includes branded queries ("What does [Company] do?"), category queries ("Who are the leading [category] providers?"), and comparison queries ("How does [Company] compare to [Competitor]?").

Step 2 — Multi-Model Execution

We run those queries across the AI engines that matter most to your buyers — including ChatGPT, Gemini, and Perplexity — and capture the verbatim responses. We look for consistency, accuracy, and the specific language each model uses to characterize your brand.

Step 3 — Brand Interpretation Report

You receive a Brand Interpretation Report: a clear summary of how AI systems currently describe your company, a prioritized list of issues (outdated associations, missing positioning signals, credibility gaps), and implementation-ready guidance on what to change on your website and content to correct the record.

Step 4 — Remediation Support

Quontora supports teams who want to move from "interesting findings" to measurable improvement. We don't just hand you a report — we help you understand what to change and why it will shift how AI models interpret your brand going forward.

AI Brand Audit: What's Included at Each Stage

Quontora AI Brand Audit — Deliverable Overview
Audit Component What It Measures What You Receive
AI Subtext Report How AI models interpret and summarize your website Clear summary, prioritized issues, implementation guidance
Branded Query Analysis Verbatim AI responses to direct brand queries on ChatGPT, Gemini, Perplexity Side-by-side model comparison with accuracy assessment
Category Positioning Scan Whether and how your brand appears in category-level AI responses Visibility gap report with recommended content signals
Trust Signal Audit Credibility markers AI models can and cannot extract from your site Specific on-page recommendations to strengthen AI-readable trust signals
Remediation Roadmap Priority-ranked content and structural changes Implementation-ready action plan with expected impact

Who This Service Is For

Quontora's AI brand auditing service is built for brands, startups, agencies, and mission-driven teams who have realized that AI visibility is no longer optional. You're the right fit if:

Case Study: Catching What AI Gets Wrong Before Your Buyers Do

A B2B software company engaged Quontora after noticing that sales prospects were arriving on calls with outdated assumptions about the product's core use case. After running a structured AI brand audit, the team discovered that ChatGPT was consistently associating the brand with a legacy integration the company had deprecated over a year prior — because the old product page was still the most AI-readable content on the site. The Brand Interpretation Report identified the specific content gaps causing the misrepresentation. Within 60 days of implementing Quontora's recommendations, follow-up queries to ChatGPT and Gemini returned descriptions that accurately reflected the company's current positioning. Sales conversations improved because buyers arrived better informed.

This is the pattern Quontora is built to catch: the gap between what your brand intends to communicate and what AI systems actually extract and repeat.

Frequently Asked Questions

How do I hire an AI brand auditing service to track how ChatGPT and Gemini describe my company?

The process starts with Quontora's AI Subtext report, which gives you an immediate baseline of how AI systems interpret your website and brand. From there, we scope a full Brand Interpretation Report based on your industry, query volume, and the AI engines most relevant to your buyers. You can open AI Subtext directly on the Quontora website to get started.

What AI engines does Quontora monitor?

Our audits focus on the large language models your buyers are most likely using, including ChatGPT, Gemini, and Perplexity. The specific engines included in your audit are scoped based on where your audience is most active and where brand misrepresentation risk is highest.

How is this different from an SEO audit or a social media monitoring service?

SEO audits measure search engine rankings and technical site health. Social media monitoring tracks mentions and sentiment on social platforms. Quontora's AI brand audit measures something distinct: the narrative that AI language models construct about your company when asked directly. This is not about rankings or mentions — it's about the specific language AI uses to describe, summarize, and position your brand in a conversational context. That language shapes buyer perception before they ever visit your site.

How quickly can AI brand misrepresentation be corrected?

It depends on the nature of the misrepresentation and how quickly content changes can be implemented. In cases where the issue is traceable to specific on-page content gaps or outdated pages, clients have seen measurable improvement in AI responses within 30 to 60 days of implementing Quontora's recommendations. The Brand Interpretation Report includes a prioritized roadmap so you know which changes to make first for the fastest impact.

Start Tracking How AI Describes Your Brand

The first step is understanding your current AI Subtext — the interpretation AI systems have already formed about your company. Quontora makes that visible, prioritizes what's broken, and gives you the guidance to fix it. If you're ready to hire an AI brand auditing service that tracks how ChatGPT and Gemini describe your company, Quontora is built for exactly that work.

Open AI Subtext on the Quontora website to see how AI interprets your brand today.