Online reputation management involves more than responding to reviews or trying to improve a search result. It brings together search visibility, customer feedback, publisher relationships, content, privacy, monitoring, and crisis planning. For businesses, brands, executives, and professionals, knowing the terminology makes it easier to assess a problem, compare service proposals, and understand what action is actually possible.
This online reputation management glossary explains 40 commonly used ORM terms in plain English. It also distinguishes legitimate, evidence-led work from promises that no agency, platform, or search engine can responsibly make. Use it as a quick reference when reviewing a reputation report, planning an internal program, or preparing for a confidential reputation assessment.
A practical rule: ORM work should begin with the evidence: the search results, review footprint, source material, market, and risk. The right response depends on whether content is inaccurate, policy-violating, private, outdated, opinion-based, or accurate but damaging.
How to use this ORM glossary
Some terms describe the surfaces where reputation is formed, such as Brand SERPs, review platforms, and social media. Others describe methods, including monitoring, source correction, content development, and escalation. A third group covers measurement, such as sentiment analysis and share of search. Reading the definitions together provides a clearer picture of what an online reputation management program can and cannot control.
| If you need to understand… | Start with these terms |
|---|---|
| What people find when they search your name | Brand SERP, search suppression, knowledge panel, visibility, third-party content |
| How reviews should be handled | Review management, review generation, review removal, review velocity, review response |
| How to prepare for or respond to a problem | Reputation audit, proactive ORM, reactive ORM, crisis management, reputation repair |
| How to measure reputation health | Monitoring, sentiment analysis, share of search, reputation score, social listening |
| How AI affects search visibility | AI Overviews, entity, generative engine optimization, structured data |
A–Z online reputation management terms
1. AI Overviews
AI Overviews are AI-generated summaries that may appear in Google Search for some queries, together with links that help users explore supporting information. For ORM, they matter because branded and topic-related questions may be answered in a search experience that brings together information from multiple sources. Google states that its usual SEO best practices remain relevant to AI features and that there are no additional requirements or special optimizations needed to appear in AI Overviews or AI Mode. [1]
2. Brand reputation
Brand reputation is the cumulative perception that customers, employees, partners, investors, and the public form about an organization. It is influenced by real experiences, reviews, news coverage, search results, social conversations, and the consistency between a brand’s claims and its conduct. ORM focuses on the online evidence and channels that shape this broader perception.
3. Brand SERP
A Brand SERP is the search engine results page shown when someone searches for a brand, company, executive, or professional by name. It can contain the organization’s website and profiles, news, review listings, images, videos, knowledge panels, and independent third-party coverage. A Brand SERP is often the most practical starting point for an online reputation audit.
4. Content removal
Content removal is an attempt to have specific material taken down, corrected, de-indexed, or restricted through the relevant publisher, platform, host, legal process, or privacy mechanism. The correct route depends on the facts, platform policy, jurisdiction, and evidence. It should not be confused with a guaranteed deletion outcome: the decision normally belongs to the relevant third party.
5. Crisis management
Crisis management is the coordinated response to a fast-moving event that may materially affect trust, safety, operations, or public perception. A digital reputation crisis can involve an allegation, viral post, data exposure, service failure, executive issue, or harmful misinformation. Effective crisis management connects facts, decision-makers, communications, monitoring, and a documented escalation path.
6. Digital footprint
A digital footprint is the collection of information associated with a person or organization online. It can include websites, profiles, reviews, business listings, media coverage, social posts, images, comments, records, and cached references. A footprint is broader than a single Google result and may change across countries, devices, platforms, and over time.
7. Digital PR
Digital PR is the practice of earning credible online coverage, expert commentary, mentions, links, and relationships through newsworthy information or useful expertise. In a reputation program, digital PR can help build authoritative, accurate material that improves understanding of a brand. It is not the purchase or fabrication of coverage.
8. Earned media
Earned media is unpaid third-party attention, such as an editorial article, interview, review, expert quotation, or organic social mention. It differs from owned media, which a brand controls, and paid media, which is purchased. Earned media can have high reputational value because an independent source has chosen to cover the subject.
9. Entity
In search and AI contexts, an entity is a distinct, identifiable person, company, place, product, or concept that systems can associate with attributes and relationships. Clear entity information across a website, profiles, business data, and authoritative sources can reduce ambiguity about who or what a search result refers to.
10. Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is an emerging term for making content easier to discover, understand, and cite within AI-assisted search and answer experiences. In responsible practice, it builds on useful, reliable, people-first content and sound technical SEO rather than shortcut tactics. Google notes that pages eligible to appear as supporting links in AI features must meet its ordinary Search requirements; inclusion is not guaranteed. [1]
11. Knowledge panel
A knowledge panel is an information box that may appear in Google Search for recognized people, businesses, places, or topics. It can include facts, links, images, and other references. Knowledge panel management means checking information for accuracy and using appropriate verification or feedback mechanisms where available; it does not mean controlling every element that appears.
12. Mention
A mention is any reference to a brand, person, product, or relevant topic online. Mentions may appear in news, blogs, forums, social platforms, review sites, podcasts, or videos. Monitoring mentions helps identify emerging issues, misinformation, customer concerns, and opportunities for response or outreach.
13. Monitoring
Reputation monitoring is the ongoing tracking of search results, reviews, news, social conversations, listings, and relevant online mentions. A useful monitoring program defines priority queries, sources, markets, alert thresholds, owners, and response steps. It is more valuable when it turns findings into a clear triage decision rather than simply producing a dashboard.
14. NAP consistency
NAP consistency refers to the accuracy and consistency of a business’s Name, Address, and Phone number across online listings, maps, directories, and profiles. Inconsistent data can confuse customers and platforms, especially for local businesses. It is a foundational data-quality issue, not a substitute for broader reputation work.
15. Online reputation audit
An online reputation audit is a documented review of how a person, brand, or organization appears online. It usually assesses branded search results, reviews, publishers, profiles, ratings, mentions, visibility, and the actionability of concerning material. The audit should separate valid policy or correction pathways from content that is accurate, protected opinion, or outside the organization’s control.
16. Online Reputation Management (ORM)
Online Reputation Management, or ORM, is the structured practice of understanding, monitoring, protecting, and improving how a person or organization is perceived across online channels. It can include search-result analysis, review operations, source correction, content strategy, privacy assessment, digital PR, and crisis support. ORM is both proactive—building trust before a problem—and reactive—responding carefully when one arises.
17. Owned media
Owned media is content and digital property directly controlled by a brand or individual, such as a website, newsroom, blog, email list, verified social profile, or resource center. Owned media gives an organization a durable place to publish accurate information, but it does not replace independent coverage or customer experience.
18. Proactive ORM
Proactive ORM is the work done before a visible reputation issue escalates. It may include monitoring, claiming and improving profiles, creating accurate reference content, establishing review-response standards, preparing a crisis protocol, and correcting data inconsistencies. The goal is not to hide criticism; it is to create readiness and a trustworthy information base.
19. Reactive ORM
Reactive ORM is the response to a specific reputation issue that is already visible or developing. It can involve evidence collection, source assessment, factual correction requests, policy-based reporting, review responses, stakeholder communications, and content planning. The first task is to classify the issue accurately, not to take indiscriminate action.
20. Reputation repair
Reputation repair is a longer-term effort to reduce the impact of a reputational problem while strengthening accurate, credible, and useful information. Depending on the situation, it can include operational improvement, direct engagement, correction, valid removal requests, earned visibility, owned content, and progress reporting. Reputation repair is not the same as erasing all negative information.
21. Reputation score
A reputation score is a composite metric used by a platform or organization to summarize reputation signals, such as ratings, review volume, sentiment, response activity, and listing completeness. The calculation varies by provider. Treat it as a directional management indicator, not as a complete measure of trust or business quality.
22. Review generation
Review generation is the ethical process of inviting genuine customers to share their honest feedback. A sound program asks consistently, makes participation easy, and respects platform rules. It should never involve fake reviews, review gating, or making a reward conditional on positive feedback. The FTC’s rule and related guidance address deceptive practices involving consumer reviews and testimonials, including certain fake, compensated, and suppressive practices. [2]
23. Review management
Review management is the system for monitoring, routing, responding to, learning from, and reporting on customer reviews. It normally includes response standards, escalation paths, service-recovery coordination, and a method for identifying feedback that may violate platform policy. Good review management acknowledges legitimate criticism without attempting to silence it.
24. Review removal
Review removal is a policy-based request to a review platform to remove content that may violate its rules. For example, Google explains that reviews may be reported, but only reviews that violate its policies are eligible for removal; a review should not be reported merely because a business dislikes or disagrees with it. [3] A well-documented request can be appropriate, but approval is the platform’s decision.
25. Review response
A review response is a public or private reply to customer feedback. A useful response is timely, specific, professional, and appropriate to the facts. It avoids exposing personal information, arguing publicly, or making claims that cannot be verified. Review responses can demonstrate accountability to both the reviewer and future readers.
26. Review velocity
Review velocity is the rate at which a business receives new reviews over a defined period. A sudden spike or decline can be a signal worth investigating, but the metric should be interpreted in context, including business volume, seasonality, campaigns, and platform changes. Sustainable, authentic feedback is more meaningful than an artificial burst.
27. Search suppression
Search suppression is a commonly used ORM term for reducing the relative visibility of unwanted search results by strengthening the visibility of other relevant, authoritative material. It does not remove the original source and should never be presented as a guarantee that a particular result will disappear or move to a certain position. The term is best used with transparent reporting on what work is controlled and what is not.
28. Search engine results page (SERP)
A search engine results page, or SERP, is the page shown after a user enters a query into a search engine. It may include organic listings, map results, news, images, videos, snippets, knowledge panels, reviews, and AI features. Reputation teams study the SERP because the mix of sources can shape a user’s first impression.
29. Sentiment analysis
Sentiment analysis is the classification of language in reviews, mentions, or other text as positive, negative, neutral, or more nuanced emotional categories. It can surface trends at scale, but it should be checked against the original material. Automated sentiment can misunderstand context, sarcasm, industry language, and mixed feedback.
30. Share of search
Share of search compares the volume of branded search interest for one organization with that of competitors or a relevant category. It can provide context for visibility and awareness, but it is not a direct measure of reputation. A brand may be widely searched because of both positive attention and a negative event.
31. Social listening
Social listening is the systematic monitoring and analysis of public social conversations for references to a brand, person, product, campaign, or issue. It goes beyond counting mentions by identifying recurring themes, audience questions, creators, misinformation, and escalation risks. Social listening should respect platform terms, privacy, and the limits of public data.
32. Source correction
Source correction is a request to a publisher, platform, directory, or other source to fix inaccurate factual information. It can concern an incorrect business detail, outdated profile, mistaken association, or demonstrably false statement. A strong correction request is concise, documented, and routed to the party with authority to make the change.
33. Structured data
Structured data is machine-readable markup that helps search engines understand certain information on a webpage, such as an organization, article, product, or event. It must accurately reflect the visible page content. Google specifically advises that structured data should match the visible text and notes that no special schema is needed solely to appear in AI features. [1]
34. Third-party content
Third-party content is material published by someone other than the person or organization concerned. Examples include news articles, customer reviews, forum posts, independent profiles, social posts, and blogs. Third-party content often carries weight because it is independent, but it is also subject to the publisher’s policies and editorial decisions.
35. Trust signals
Trust signals are observable indicators that help users assess credibility. Depending on the situation, they can include accurate contact information, secure and well-maintained websites, transparent policies, verified profiles, relevant expert credentials, helpful content, authentic reviews, and responsive customer service. No single signal can substitute for reliable behavior over time.
36. User-generated content (UGC)
User-generated content, or UGC, is material created by customers, users, fans, critics, or communities rather than by the organization itself. Reviews, comments, photos, videos, forum posts, and social posts are common examples. Because UGC is public and often persuasive, it is an important monitoring and engagement surface.
37. Visibility
Visibility is the prominence and frequency with which a brand, person, or piece of content appears across relevant search results and digital channels. In ORM, visibility is assessed by query, location, device, audience, and source type. High visibility is not automatically positive; the credibility and context of what is visible matter as much as rank.
38. White-hat ORM
White-hat ORM describes ethical, policy-compliant reputation work. It uses factual corrections, legitimate platform processes, authentic review practices, helpful content, responsible outreach, and transparent reporting. It excludes tactics such as fake reviews, impersonation, fabricated evidence, intimidation, or misleading claims about guaranteed outcomes.
39. Zero-click search
A zero-click search occurs when a user obtains enough information on the search-results page to avoid visiting a website. This can happen through knowledge panels, map results, featured information, or AI-powered summaries. For reputation teams, it reinforces the importance of accurate information wherever people encounter a brand—not only on the organization’s website.
40. Reputation risk register
A reputation risk register is a working record of material risks, early-warning indicators, owners, response steps, dependencies, and review dates. It turns reputation management from ad hoc reaction into a governance process. A simple register is particularly helpful for executive, professional, and crisis-sensitive programs.
What these ORM terms mean in practice
The terms in this glossary are most useful when they guide a disciplined process. A business facing a negative review may need review management, a fact-based response, and, only when appropriate, a policy review. An executive affected by inaccurate information may need an online reputation audit, source correction, privacy assessment, and better control of accurate owned information. A company with weak branded search visibility may need an evidence-led content, digital PR, and technical SEO plan—not a promise that a particular result can be removed or outranked.
For a clearer starting point, document the affected name or brand, relevant country or market, key search queries, priority URLs, review sources, and desired business outcome. This creates the baseline needed to identify whether the appropriate path is monitoring, response, correction, valid escalation, content development, or crisis support.
Frequently asked questions about online reputation management terms
What is the difference between ORM and SEO?
SEO focuses on improving a website’s visibility in organic search. ORM is broader: it addresses how an individual or organization is perceived across search results, reviews, news, social media, directories, and other digital sources. SEO may be one component of ORM, but ORM also includes monitoring, review operations, correction processes, communications, and reputation risk management.
Is search suppression the same as content removal?
No. Content removal seeks a change from the publisher, platform, host, or another authority, usually based on a policy, factual, legal, or privacy rationale. Search suppression generally describes building the relevance and visibility of other material so an unwanted result becomes less prominent. Neither should be presented as a guaranteed result.
Can a business remove any negative review?
No. A business can usually report a review that appears to violate the platform’s policy, but a negative opinion is not automatically removable. Google’s guidance says that only reviews violating its policies are eligible for removal and advises businesses not to report reviews merely because they disagree with them. [3]
What is the safest way to ask for online reviews?
Ask genuine customers for their honest feedback through a consistent, straightforward process. Do not write reviews on their behalf, purchase fabricated reviews, filter requests to obtain only positive feedback, or condition incentives on a favorable review. The FTC provides guidance and enforcement rules concerning deceptive consumer-review practices. [2]
Does GEO guarantee a brand will appear in AI Overviews?
No. GEO should be understood as an extension of helpful content, accurate entity information, sound technical SEO, and discoverability—not a guarantee of AI inclusion. Google says there are no extra requirements or special optimizations for AI Overviews or AI Mode, and meeting requirements does not guarantee crawling, indexing, or serving. [1]
When should a company request an online reputation audit?
An audit is useful before selecting an ORM provider, entering a sensitive transaction, preparing for an executive announcement, responding to a crisis, or when search results and reviews no longer reflect the organization’s current reality. It establishes what is visible, what is credible, what is actionable, and what requires longer-term trust-building.
Build clarity before you act
Online reputation management works best when decisions are based on a complete view of the evidence rather than a single upsetting result or rating. If you need to understand what is shaping perception of your business, brand, executive, or professional name, begin with a documented baseline and a responsible action plan.
Online Reputation Management 24 provides confidential, evidence-led assessments for businesses, brands, executives, and professionals. Explore our online reputation management services, learn about our reputation monitoring approach, review our ORM process, or request a confidential assessment.