Short answer: ORM tracking means regularly measuring what people (and now AI assistants) say about your brand across reviews, social media, communities, search results and the news, then acting on it. A useful ORM tracker covers five places your reputation lives, measures about eight metrics weekly, and has alert rules so that a negative thread is caught in minutes, not at the monthly report. The rest of this guide gives you the metrics, a template and the tools.
Table of Contents
- What is ORM tracking?
- The 5 places your reputation lives
- The 8 ORM metrics worth tracking
- ORM tracker template
- Alert rules: what needs a response today
- ORM tracking tools for each part
- What "AI ORM" means
- FAQ
What is ORM tracking?
Online reputation management (ORM) is the work of shaping how your brand is perceived online. ORM tracking is the measurement half of that work: it shows whether perception is improving or getting worse, and where.
Without tracking, ORM is guesswork. You only respond to the problems that happen to land in someone's inbox, and you can't show whether last quarter's review campaign or PR push changed anything.
The 5 places your reputation lives
| Source | Examples | Why it matters |
|---|---|---|
| Reviews | Google Business Profile, G2, Trustpilot, Capterra, app stores | Buyers read them right before they decide |
| Social and communities | Reddit, X, LinkedIn, YouTube comments, Hacker News, forums | Where complaints start and spread, often before reviews |
| Search results | Page 1 of Google for your brand name | Usually the first thing a prospect, candidate or journalist sees |
| News and blogs | Press coverage, industry blogs, comparison articles | Shapes how authoritative you look, and feeds the other four |
| AI answers | ChatGPT, Perplexity, Gemini, Google AI Overviews | More and more buyers ask an assistant "is X any good?" instead of searching |
Most teams only track reviews. The biggest blind spots are usually communities (an unanswered Reddit thread can rank for your brand name for years) and AI answers, which repeat whatever the web says about you.
The 8 ORM metrics worth tracking
| # | Metric | How to measure | Healthy direction |
|---|---|---|---|
| 1 | Mention volume | Brand mentions per week, across all sources | Up, if sentiment holds |
| 2 | Sentiment share | % positive / neutral / negative mentions | Negative share falling |
| 3 | Average review rating | Weighted rating across review sites | Stable or rising |
| 4 | Review velocity | New reviews per month | Steady inflow; old reviews look stale |
| 5 | Response rate and time | % of negative mentions and reviews answered, and how fast | Above 90%, within 24h |
| 6 | Share of voice | Your mentions ÷ (yours + main competitors') | Rising |
| 7 | Branded SERP ownership | How many of Google's top 10 results for your brand you control or that are positive | 7+ of 10 |
| 8 | AI answer sentiment | What 3–5 standard prompts return in ChatGPT, Perplexity and Gemini each month | Accurate and positive |
You don't need all eight on day one. Start with sentiment share, response time and average rating: they're the ones that move fastest when you act.
ORM tracker template
Copy this into a spreadsheet: one row per week, plus a separate log for individual issues.
Weekly scorecard
| Week | Mentions | Positive % | Negative % | Avg rating | New reviews | Negative items answered | Median response time | Share of voice | Notes |
|---|---|---|---|---|---|---|---|---|---|
| 2026-10-13 | 142 | 61% | 9% | 4.6 | 11 | 12 / 13 | 5h | 24% | Pricing complaint thread on Reddit |
Issue log (one row per negative item worth acting on)
| Date | Source | Link | Summary | Severity (1–3) | Owner | Response | Status |
|---|---|---|---|---|---|---|---|
| 2026-10-15 | r/sales | … | "Support never replied" | 2 | Support lead | Replied publicly, fixed ticket | Closed |
Monthly: run your branded Google search in a private window and record the top 10 results. Then ask ChatGPT, Perplexity and Gemini the same prompts (for example "Is [brand] good?", "[brand] vs [competitor]", "Best [category] tools") and note any wrong or negative claims.
Alert rules: what needs a response today
A weekly report is too slow for a reputation problem. Set up real-time alerts for:
- Any negative mention with reach. A post from an account with a large following, or a thread gaining comments fast.
- Crisis words next to your brand. "Scam", "lawsuit", "breach", "outage", "refund", "cancel".
- Every new 1–2 star review.
- Mentions of executives by name next to negative language.
- A competitor plus "switching from". This is a reputation risk for them and an opportunity for you.
Send these to a dedicated Slack channel with a named owner. Everything else can go in a daily or weekly digest.
ORM tracking tools for each part
No single tool covers all five sources well. A practical stack:
| Part | Free option | Paid options |
|---|---|---|
| Social and community mentions | Google Alerts (slow, misses most social), F5Bot (Reddit) | Updately, Brand24, Mention |
| Reviews | Native review-site notifications | Birdeye, ReviewTrackers, Reputation.com |
| Branded search results | A monthly manual search in a private window | Any rank tracker, with your brand terms added |
| News | Google Alerts, Google News | Brand24, Meltwater |
| AI answers | A monthly manual check with fixed prompts | Emerging AI-visibility trackers |
Where Updately fits: Updately's AI ORM covers the social, community and review layer: Reddit, X, LinkedIn, YouTube, Hacker News, G2, Capterra, Google Reviews and news. Every mention is scored for sentiment, relevance and reach. Negative mentions trigger an instant Slack alert, and AI drafts a reply for you to edit. A single reputation score and weekly digest give you rows 1, 2, 5 and 6 of the scorecard without manual counting.
For a full comparison, see the best online reputation management tools in 2026 and the best brand monitoring tools.
What "AI ORM" means
"AI ORM" is used for two different things, and good ORM tracking needs both:
- AI that does the tracking. Models read every mention to score sentiment and relevance, flag likely crises and draft responses. That's what turns thousands of raw keyword matches into the ten items someone actually needs to handle. It's how Updately works.
- Tracking what AI says about you. Assistants like ChatGPT and Perplexity summarise your reputation from reviews, Reddit threads and articles. An old complaint thread can resurface as "users report poor support" in an AI answer. The fix is the same as classic ORM: respond publicly, earn fresh reviews and publish accurate comparison content, so the sources the AI reads tell the right story.
FAQ
What is an ORM tracker?
An ORM tracker is a recurring scorecard (often a spreadsheet or dashboard) that records your brand's mention volume, sentiment, review ratings, response times and share of voice over time, plus a log of negative items and how each was handled. The template above is a good starting point.
How often should I track online reputation?
Alerts in real time, a scorecard weekly, and branded search results and AI answers monthly. Quarterly, compare sentiment share and share of voice against your main competitors.
What are the most important ORM metrics?
Sentiment share, response time to negative mentions and average review rating. They move quickly when you act, and they're what prospects notice first.
Can Google Alerts be used for ORM tracking?
As a free starting point for news and blogs, yes. But it catches little from Reddit, X or LinkedIn, and it's often days late. Most teams outgrow it quickly. See our Google Alerts alternatives.
What are AI ORM services?
Either software that uses AI to monitor and score mentions and draft responses (like Updately), or agencies that use AI tools to manage reputation for you, sometimes including how your brand appears in AI assistants' answers.
Want ORM tracking that runs itself? See how Updately's AI ORM works.