AI Visibility Tracking
for Your Brand
Run an audit to measure how ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Claude describe your brand across selected prompts. Results are a snapshot of those requests, not continuous monitoring.
No credit card required to start for free.
What is AI Visibility Tracking?
AI visibility tracking is the practice of measuring how large language models (LLMs) mention, describe, and represent your brand across AI search platforms. It's the generative-AI equivalent of rank tracking — except instead of monitoring keyword positions, you're monitoring brand presence in AI-generated answers.
Presence
Does AI include your brand when answering questions about your category, competitors, or use cases?
Accuracy
Is AI getting your pricing, features, positioning, and key facts right — or hallucinating details that hurt your brand?
Citation
Do audited responses include citations to your pages as sources?
Why Measure AI Visibility?
AI answers vary by prompt, model, surface, and request settings. An audit gives you a repeatable record of selected answers and their available citations, without treating one run as a measure of every AI answer.
6 AI Platforms. One Visibility Score.
These are distinct model or search surfaces. Results depend on the selected plan and the request configuration used by each integration.
ChatGPT
Asked through the API with web search on. The model decides per prompt whether to search, and each answer records whether it did.
How OpenAI's model describes your brand in the prompts selected for an audit.
Perplexity
The current integration uses Perplexity Agent API; returned sources vary by response.
Whether the audited response mentions your brand and returns citation sources.
Google AI Overviews
Measured from AI Overview content returned by the SERP provider; some queries have no overview.
Whether an AI Overview is returned for the selected query and what it says about your brand.
Google AI Mode
Read from Google's AI Mode results through the SERP provider, US English.
What AI Mode says about your brand for the selected query, and the sources it cites.
Gemini
Queried as a separate model surface; it is not the same product surface as AI Overviews.
How Google's Gemini model describes your brand in the selected audit prompts.
Claude
Asked through the API with web search on. The model decides per prompt whether to search, and each answer records whether it did.
How Anthropic's model represents your brand, positioning, and key facts.
Paid plans can audit all six surfaces; Free covers ChatGPT and Google AI Overviews. Each result reflects the prompt and request configuration used for that platform.
How the AI Visibility Score is Calculated
The 99Visibility score (0–100) starts as a weighted average of four signal types, each measuring a distinct dimension of your AI presence. That average is then multiplied by 0.2 + 0.8 × coverage, where coverage is the market-weighted share of the platforms in your audit that mentioned you at least once, so a brand no platform mentions scores 0.
Mention Rate
40%How often AI platforms include your brand when asked about your category or competitors.
Accuracy Rate
30%How accurately AI describes your pricing, features, and positioning — catches hallucinations.
Sentiment Score
15%Whether AI platforms frame your brand positively, neutrally, or negatively in responses.
Citation Rate
15%How often audited responses include citations to your content.
Score interpretation: 0–39 Critical — AI barely mentions you or gets facts wrong. 40–59 Warning — inconsistent presence with gaps. 60–79 Good — solid AI presence, refinement opportunities. 80–100 Excellent — strong, accurate AI brand representation.
What AI Visibility Tracking Monitors
Audits record available mentions, accuracy, sentiment, citations, crawler-access findings, and competitor comparisons for selected prompts.
From Tracking to Fixing — GEO Recommendations
AI visibility tracking without a fix strategy is just data. Every 99Visibility audit generates prioritized Generative Engine Optimization (GEO) recommendations tied to your specific gaps.
Review prompts where your brand did not appear in the audited answers.
Compare flagged answer claims with the verified facts in your brand profile.
Review which sources appear in audited answers and whether your pages are cited.
Check robots.txt permissions and the response returned to supported crawler probes.
Compare your measured mentions with the competitors selected for the audit.
AI Visibility Tracking vs. SEO vs. GEO
These three disciplines overlap but measure different things.
| Dimension | SEO Tracking | AI Visibility Tracking | GEO |
|---|---|---|---|
| What it measures | Keyword rankings (positions 1–100) | Brand presence in AI answers (score 0–100) | Optimization actions to improve AI presence |
| Data source | Google Search Console, crawl data | Direct LLM API queries | Crawler access, quotable claims, off-site mentions |
| Primary metric | Rank position, impressions, CTR | Mention rate, accuracy, citation rate | Recommendation completion rate |
| Update frequency | Daily (crawl-dependent) | Per audit (real-time LLM query) | Ongoing (content strategy) |
| Who it's for | SEO managers, content teams | Brand managers, CMOs, founders | Content strategists, SEO+GEO practitioners |
These activities answer different questions. 99Visibility reports measured responses and checkable access; it does not guarantee that a particular content tactic changes rankings or AI visibility. Read the full GEO vs SEO breakdown →
AI Visibility Tracking — Frequently Asked Questions
What is AI visibility tracking?
AI visibility tracking is the process of monitoring how large language models (LLMs) like ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Claude describe, mention, and represent your brand when users ask questions. It measures mention rate, accuracy, sentiment, and citation frequency across AI platforms — giving you a scored, actionable picture of your AI search presence.
Why does AI visibility tracking matter in 2026?
AI-generated answers are one place people may encounter a brand. An audit records what selected prompts returned at the time of the run; it does not estimate all user searches or prove that a particular change will alter visibility.
How is AI visibility tracking different from SEO tracking?
SEO tracking monitors keyword rankings in traditional search results (Google's blue links). AI visibility tracking monitors how LLMs represent your brand in conversational answers. The key differences: SEO is position-based, AI visibility is mention-based. SEO tracks URLs, AI visibility tracks accuracy and sentiment. SEO relies on crawl data, AI visibility requires directly querying LLM APIs.
Which AI platforms does 99Visibility track?
99Visibility audits ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Claude. The available platforms depend on your plan: Free covers ChatGPT and Google AI Overviews, paid plans all six. Results describe the specific models, surfaces, and request configuration used in that audit, not every way a person may use those products.
How is the AI visibility score calculated?
The 99Visibility score is a weighted composite: Mention Rate (40%) — how often you appear in AI answers; Accuracy Rate (30%) — how correctly AI describes your brand; Sentiment Score (15%) — positive vs. negative framing; Citation Rate (15%) — how often you're cited as a source. That composite is then multiplied by 0.2 + 0.8 × coverage, where coverage is the market-weighted share of the platforms in your audit that mentioned you at least once, so a brand no platform mentions scores 0. Scores below 40 are critical (red), 40–60 are warning (amber), 60–80 are good (periwinkle), 80+ are excellent (green).
How often should I track AI visibility?
Run an on-demand audit after an important change to your brand facts or product. Scheduled re-audits are available on eligible paid plans; check the current options in your account.
Can AI visibility tracking detect hallucinations?
Yes. Hallucination detection is a core feature of AI visibility tracking. When 99Visibility queries each LLM about your brand, it cross-checks the AI's answer against your verified brand data. Incorrect pricing, wrong feature descriptions, a wrong founding date or location, and features you do not offer are all flagged as hallucinations with the specific inaccuracy highlighted.
Related Resources
See What AI Says About Your Brand
Run a free AI visibility audit on ChatGPT and Google AI Overviews, or on all six engines with a paid plan. Get your score, see every hallucination, and receive a prioritized fix strategy — in under 5 minutes.
No credit card required to start for free.