AI Landscape by NetReputation is a monthly service that tracks what the leading AI platforms say about brands, executives and a company’s online reputation. This monthly report highlights AI generated narratives, traces the sources behind them and determines where the risks and opportunities lie.
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Sources: Ahrefs AI Search Citation Study (August 2025); Capgemini Research Institute, What Matters to Today’s Consumer, 4th edition (January 2025); OpenAI (2026); Similarweb Generative AI Landscape (2026).
Traditional SEO monitoring gives companies a limited look into how AI platforms represent their organization. Research found that Google’s top 100 results exclude about 80% of sources cited in AI generated answers.
Stakeholders who research an enterprise through these platforms get a narrative that’s been synthesized from select sources. It may include outdated information, unfavorable coverage or even citations from sources an organization never identified.
Companies need a way to monitor these narratives and understand what’s driving them. However, most will only discover there’s a problem when a stakeholder mentions something they saw on an AI platform.
Speak with a specialist — free and confidential.
Most changes in AI visibility happen slowly over time. A single scan can reveal where things stand today but comparing scans over time shows where the narrative is going.
An analyst will run tracked prompts monthly across the four major AI platforms and compare the results to previous scans. The report will show what changed including new citations, sources that disappeared, shifts in rankings and sentiment and any new reputation risks that surfaced.
Users won’t need to learn a new platform, review raw data, or spend time interpreting results. An analyst does that work instead.
Every engagement covers the four platforms brands and executives use most frequently. We run the same prompts each month so the comparison holds up over time. This consistency shows us exactly how each business’s AI visibility is shifting.
We classify every citation that influences an organization’s AI narrative including managed, placed editorial, negative news or neutral and unmanaged content.
We flag sources in AI generated summaries that could be unfavorable, negative or harmful so executives can send them to their leadership team for review.
Our comparison view shows which citations were added, removed or shifted since the last scan with updated risk flags and directional notes.
A dedicated NetReputation analyst will manage engagement to provide continuity and context that a basic dashboard cannot offer.
We begin every engagement with a baseline report that covers what each AI platform is saying about each organization. We’ll also explain the sources that are shaping it and the risks each entity is facing.
We hold calls with each team to share key findings, emerging narrative trends, material risks and recommended next steps.
Get a free AI visibility analysis from a reputation specialist.
AI Landscape comes in two levels. Both include a named analyst, a baseline report, monthly comparison reporting, and citation source classification so companies receive consistent visibility and human oversight either way.
Best fit for a single brand or executive name that needs ongoing visibility into its AI generated reputation.
Best fit for multi brand portfolios, agencies managing client reputations or brands and executives facing contested or complex coverage.
AI Landscape highlights where brands or executive reputations stand across AI platforms. The report also details the sources shaping that narrative and where material risks may exist. In this way, it supports existing online reputation management (ORM), generative engine optimization (GEO) and search engine results pages (SERP) management efforts.
NetReputation addresses risks through content strategy, digital PR, generative engine optimization or content removal. Separating monitoring efforts from remediation keeps visibility objective and provides a clear path forward when action is needed.
Know what they say — before your next investor or client does.
01The Basics
AI visibility monitoring is the process of tracking how AI platforms represent a brand or executive in generated answers. It tracks what these systems say, traces the sources behind those answers and monitors reputational risks over time.
With AI visibility monitoring, an individual reviews and interprets those findings. This is distinct from generative engine optimization.
Monitoring
Shows what AI is saying, and why.
GEO
Changes what AI says.
02The Difference
AI visibility tools are fast, inexpensive and effective for monitoring large volumes of prompts. If a marketing team wants a live dashboard and the enterprise already has someone available to interpret the data then a tool-based approach might be the better fit.
The distinction is most obvious after a citation appears. A tool can show where a URL was cited but it cannot tell whether that URL is an owned asset, editorial placed on the organization’s behalf, a hostile source or an unmanaged source.
NetReputation already builds the profiles and places the editorial that can become AI citations so the right team can step in and address a flagged risk.
Business leaders can check Perplexity but they’ll only see one response on one platform and on one day. Monitoring consistently shows the pattern across four platforms and what’s driving it.
03Citation Categories
We sort every source an AI platform cites into one of these four categories. A high share of managed and placed sources means the narrative rests on content a business can influence. A high share of neutral or unmanaged sources means the opposite is true.
A profile, listing or other owned asset that an organization manages.
OwnedContent secured on an organization’s behalf, influenced by coverage that their reputation strategy shapes.
EarnedUnfavorable news or content cited by AI platforms affecting how stakeholders view an organization.
RiskThird-party content outside of an organization’s control.
Uncontrolled04How It Works
AI platforms do not rank webpages in the same way that Google does. They pull information from multiple sources, evaluate them and synthesize the result into a single response.
01
Profiles, listings, news, editorial and third-party pages scattered across the web.
02
Some responses draw on training data with a cutoff date while others use live web retrieval.
03
Cited URLs can look very different from the pages that rank in traditional search.
12%
of AI-cited URLs appeared in Google’s top 10 for the same query
Ahrefs, based on 15,000 queries across ChatGPT, Gemini, Copilot and Perplexity. This is why outdated information can persist in AI generated answers long after the web itself has moved on.
Also covered
The same content work NetReputation does for Google also supports visibility in Google AI Mode and AI Overviews. Work done for Bing supports visibility in Microsoft Copilot.
05What We Promise
Our role is to measure and influence the sources that AI systems reference. The language that a model ultimately generates is up to the model itself.
What we commit to
What we cannot promise
06Who It Is For
AI visibility monitoring matters most for organizations where reputation drives business outcomes. This is especially important as more stakeholders turn to AI platforms to do their research.
A name is often the brand for executives, founders, investors, and public figures. Journalists, board members, investors and prospective partners use AI platforms to form first impressions, which makes executive reputation management a board-level concern.
Organizations dealing with news coverage, litigation, regulatory scrutiny or heightened public attention often find that AI platforms bring those topics to the front and center.
Agencies, in-house communications, marketing experts and business reputation management teams use AI visibility monitoring to extend their existing reporting into the AI channel.
07Pricing
Cost is based on how much coverage an organization needs — not on unlocking features. Both levels ship the same deliverables.
What determines your level
01
Five prompts on AI Monitor, twenty-five on AI Monitor Pro.
02
ChatGPT, Perplexity, Google AI Mode and Microsoft Copilot.
03
Whether monitoring runs on its own or inside an existing reputation program.
Included at both levels
The fastest way to land on the right level is a free 15 minute AI Snapshot. Call 800-200-3000.
The questions brands, executives and agencies ask most often before starting AI visibility monitoring.
The most reliable way is to monitor the prompts that matter to a business over time. One search shows what ChatGPT says in that moment but AI generated answers shift depending on the question, the platform and the sources behind them.
AI visibility monitoring tracks a defined set of prompts across multiple platforms. Then it identifies the sources shaping those responses and documents how the narrative changed from month to month.
The difference comes down to how the results are interpreted. An AI visibility tool can show how a source was cited or how a response changed but that is not the full picture. A real person classifies each citation in AI monitoring, weighing the reputational risk and explaining what those findings mean.
A cited URL may be an owned asset, placed content, negative news or an unmanaged source. Organizations need to know where it came from but a standalone dashboard cannot provide this level of detail.
AI visibility monitoring measures how AI platforms represent a brand. GEO influences the sources that those systems reference to help the brand rank higher in AI generated results.
Yes. AI Landscape monitors Google AI Mode and other platforms including ChatGPT, Perplexity and Microsoft Copilot. We run the same prompts across each platform to give organizations a clear picture of how they’re represented online.
AI answers change often. Some of the factors that affect how a brand appears online include source content updates, changes in retrieval systems, fresh news coverage and AI model changes. Some of these changes happen quickly while others take more time.
A single search offers a limited level of insight. Companies need ongoing monitoring to catch the patterns and shifts that a one-time snapshot can miss.
Not directly. AI visibility monitoring identifies, classifies and tracks the sources that influence AI generated answers but it is not a dedicated removal service.
NetReputation may be able to address a negative source through separate reputation management services including content removal, suppression strategies, digital PR or content development depending on the source and circumstances. We cannot guarantee a specific removal outcome.
AI platforms mix training data with live retrieval systems. This can lead to inconsistencies because a platform could reference older information even after more current details exist elsewhere on the web. AI systems also select and summarize sources differently than a traditional search engine does. As a result, outdated, incomplete or inaccurate information stays visible long after a company thinks the issue is resolved.
Yes. Many agencies use AI visibility monitoring to extend their existing reporting into the AI channel. Monthly reports show a consistent record of what AI platforms are saying, the sources driving those narratives and what’s changed since the last scan.
The reports come in a shareable format with source classification and risk identification built in. This makes it easy to incorporate them into reputation, communications and digital marketing reporting efforts.
Showing our 4 & 5 star reviews on Trustpilot.
"We had three negative news articles ranking on the first page of Google for our company name. Within four months, NetReputation had pushed them off page one entirely. Our sales pipeline recovered almost immediately. I wish we had called them sooner."
"We operate 47 franchise locations and reputation management was a constant headache. NetReputation built a scalable system that monitors and responds to reviews across all our locations automatically. Our average rating went from 3.8 to 4.7 in six months."
"A former employee launched a coordinated smear campaign against us online. NetReputation's crisis team responded within 24 hours, had a counter-strategy in place by day three, and within 90 days the damaging content was buried. Their speed and expertise saved our company."
Companies need to know what AI platforms are saying about their brand or executive reputation and the sources and risks behind that sentiment. AI visibility is now part of reputation management for brands, executives, and agencies alike.
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