Best LLM Visibility Checking Software: 2026 Guide
Find the best LLM visibility checking software to see how AI describes your brand, spots gaps, and tracks changes.
The best LLM visibility checking software depends on what you need to measure. For most teams, Profound, Peec AI, Semrush AI Visibility Toolkit, OtterlyAI, and Scrunch are strong choices because they monitor brand mentions, citations, competitors, and changes across major AI platforms. For a low-cost starting point, OtterlyAI is particularly accessible; for enterprise-level analysis, Profound and Scrunch offer deeper capabilities.
Why LLM visibility checking matters now
Ask an AI assistant, “What are the best project-management tools for a distributed team?” and you may get a shortlist of five companies rather than a directory of hundreds.
That changes the visibility problem. A company can have excellent awareness among customers yet be absent from the answers that prospective buyers receive from ChatGPT, Gemini, Perplexity, Google AI Overviews, or Microsoft Copilot.
LLM visibility checking software exists to make that invisible layer measurable. Instead of relying on occasional manual prompts, these platforms repeatedly ask controlled questions and record whether your company appears, how it is described, which competitors appear alongside it, and which sources are cited.
LLM visibility is not one number. It is a pattern of mentions, citations, prominence, sentiment, and accuracy across repeated AI responses.
That distinction matters because one lucky answer tells you very little. AI responses can change between runs, across platforms, locations, languages, and even different versions of the same product.
OpenAI confirms that ChatGPT Search can use web sources and that there is no guaranteed top placement; Google likewise says its AI Overviews and AI Mode can surface links from relevant web content and may make mistakes.
What LLM visibility software actually measures
The phrase “visibility checker” sounds simple, but good platforms measure several different things.
Brand mentions
The most basic question is: Did the AI mention your brand?
Suppose you sell accounting software and track 100 questions such as “best accounting software for freelancers” or “alternatives to Xero.” If your company appears in 42 relevant responses, your mention rate is 42%.
That number becomes useful when you break it down by topic, platform, geography, product, and competitor.
Citation and source presence
A mention is not the same thing as a citation.
An AI assistant might say, “Acme is a popular option,” without linking to Acme’s website. In another answer, it might cite an Acme product page, documentation page, review, or third-party article.
The second signal is often more actionable because it tells you which information sources are feeding the answer.
Position and prominence
Where your brand appears can matter as much as whether it appears.
Being the first recommendation in a short list is different from being mentioned in a long paragraph of alternatives. Some platforms therefore record prominence, position, or share of voice rather than treating every mention equally.
Sentiment and factual accuracy
A tool can tell you that an AI assistant mentioned your company while missing the more important problem: what did it say?
Imagine an assistant describing your SaaS product as “primarily for large enterprises” when your strongest market is actually small businesses. Visibility exists, but the representation is wrong.
The best platforms therefore examine sentiment, attributes, product descriptions, strengths, weaknesses, and potentially incorrect claims.
The best LLM visibility checking software compared
There is no universal winner. The right choice depends heavily on prompt volume, platforms covered, reporting requirements, and whether you want monitoring alone or a broader workflow.
| Software | Best for | Starting price* | Notable strengths |
| Profound | Enterprise teams | $99/mo | Deep visibility analytics, citations, sentiment, competitive data |
| Peec AI | Marketing teams and agencies | $95/mo | Prompt-level analysis, multiple models, daily tracking |
| OtterlyAI | Small teams and solo marketers | $29/mo | Affordable entry point, daily monitoring |
| Semrush AI Visibility Toolkit | Existing Semrush users | $99/mo | AI visibility plus broader marketing workflows |
| Scrunch | Enterprise AI visibility programs | $250/mo | Monitoring, audits, citations, agent-focused capabilities |
*Public prices checked in August 2026; plans and limits can change.
Profound: best for deep enterprise analysis
Profound is one of the strongest choices when visibility data needs to become a serious organizational reporting function.
Its current Starter plan is $99 per month when billed annually and includes 50 prompts with ChatGPT tracking. Growth is $399 per month and expands coverage to three answer engines, while Enterprise offers custom packages and up to nine engines. Profound says its system runs structured prompts daily and analyzes visibility, citations, sentiment, ranking, and competitive presence.
The trade-off is straightforward: it becomes expensive once you need broader coverage and higher volumes.
Choose Profound if: you have a dedicated team, multiple markets, or executive reporting requirements.
Peec AI: strong for prompt-level intelligence
Peec AI is particularly interesting for teams that want to understand why visibility changes rather than simply watching a headline score.
Its current brand plans include 50, 150, or 350 prompts, with daily tracking and the ability to choose three models on the standard tiers. Enterprise plans support broader model coverage, custom prompt tracking, API access, and up to 11 models.
Peec also emphasizes visibility, position, sentiment, competitors, and the sources cited by AI systems.
Choose Peec AI if: your team wants detailed prompt analysis without moving immediately into an enterprise contract.
OtterlyAI: best affordable starting point
OtterlyAI is the easiest recommendation for a smaller company that wants to start measuring AI visibility without committing hundreds of dollars every month.
Its Lite plan currently costs $29 per month and tracks 15 prompts across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, with daily tracking. Standard is $189 monthly for 100 prompts, while Premium is $489 for 400 prompts. Additional platforms such as Gemini, Claude, and Google AI Mode can be purchased separately.
That pricing structure is useful for experimentation, although teams should pay close attention to the cost of additional prompts and platforms.
Choose OtterlyAI if: you need a practical first dashboard and have a relatively small prompt set.
Semrush AI Visibility Toolkit: best for existing Semrush users
Semrush’s AI Visibility Toolkit makes sense when your team already uses the wider Semrush ecosystem and wants AI visibility data in the same environment.
The current standalone toolkit costs $99 per month per domain when billed annually. It includes 25 tracked prompts, competitor analysis, prompt research, mentions from ChatGPT, Google AI, Gemini, and Perplexity, plus an AI-readiness site audit.
One useful feature is its visibility score, which Semrush calculates by comparing brand mentions with the median number of mentions received by industry competitors.
Choose Semrush if: your team values integration and already works inside the Semrush ecosystem.
Scrunch: best for enterprise AI presence programs
Scrunch takes a more enterprise-oriented approach.
Its Core plan currently starts at $250 per month and includes 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four supported platforms: ChatGPT, Perplexity, Google AI Overviews, and Copilot. Enterprise expands coverage to nine AI platforms and adds API access, SSO, integrations, and expanded workspaces.
It is considerably more expensive than entry-level monitoring tools, but that is partly the point: Scrunch is designed for organizations building a larger ongoing program rather than casually checking a brand once a month.
Choose Scrunch if: multiple teams, brands, or technical integrations are involved.
How to choose the right tool for your situation
The smartest buying decision starts with the problem, not the feature list.
If you’re just getting started
You probably do not need hundreds of prompts.
Begin with 20–50 high-value questions. Include category questions, comparison questions, recommendation questions, and questions involving competitors.
A $29/month platform such as OtterlyAI can be enough to establish a baseline. You can then decide whether deeper data justifies moving to a more expensive platform.
If you’re an agency
Agencies need more than a dashboard.
Look for multiple workspaces, client reporting, export options, user access, location support, and enough prompt capacity to avoid treating every client as an afterthought.
Peec AI and OtterlyAI both provide agency-oriented capabilities, while larger enterprise platforms become more attractive as client volume grows.
If you’re an enterprise brand
Prioritize data depth over the number of logos on the pricing page.
Ask vendors:
- How are prompts generated?
- Can we supply our own prompts?
- How frequently are responses collected?
- Which exact AI platforms are covered?
- Are citations stored at the URL level?
- Can we compare regions and languages?
- Is historical data retained?
- Is there an API?
- How are hallucinations or inaccurate claims identified?
- What happens when an AI platform changes its interface?
Those questions reveal much more than a generic “supports 10+ models” claim.
The biggest mistake: treating one AI answer as a measurement
This is where many visibility programs go sideways.
You ask ChatGPT, “What are the best CRM platforms?” Your company appears third. You celebrate.
The next day, you ask the same question and disappear.
Neither result necessarily represents a meaningful trend.
AI responses are probabilistic and context-sensitive. Location, wording, model changes, browsing behavior, source availability, personalization, and randomness can all influence the output.
A single AI response is an observation, not a reliable visibility benchmark.
That is why serious software uses repeated prompts and time-series data. The objective is to discover patterns rather than screenshot isolated answers.
What a good prompt library looks like
Your tracking library should resemble real customer conversations, not a spreadsheet of artificial phrases.
For a project-management company, for example, a useful set might include:
- “What are the best project management tools for remote teams?”
- “Which project management software is easiest for a small business?”
- “What are alternatives to Asana?”
- “Which tools combine project management and time tracking?”
- “What should a 50-person agency look for in project management software?”
- “Compare Monday.com, Asana, and [brand].”
- “What are the disadvantages of [brand]?”
The last two categories are especially valuable because they expose competitive positioning and negative narratives, not just mentions.
How to interpret the numbers without fooling yourself
A visibility dashboard can produce dozens of metrics. Resist the temptation to treat every number as equally important.
A useful hierarchy is:
Presence → prominence → citation → accuracy → business impact.
Presence tells you whether the brand appears.
Prominence tells you whether it matters within the answer.
Citation data shows which sources support the response.
Accuracy tells you whether the representation is trustworthy.
Business impact asks the question executives ultimately care about: Does this visibility influence qualified demand, consideration, or revenue?
This last step is still difficult to measure perfectly. AI platforms do not provide a universal equivalent of impressions or clicks across all experiences.
What the software cannot tell you
Even the best LLM visibility checking software has limitations.
First, platform coverage is never permanent. AI products evolve quickly, and a tool that covers four platforms today may cover seven tomorrow.
Second, an aggregate score can hide important differences. A brand might have excellent visibility in one country and almost none in another.
Third, citations do not automatically mean influence. A page can be cited once without becoming a meaningful source across the wider category.
Finally, visibility monitoring does not explain every causal factor behind an AI response. Google explicitly notes that AI features can make mistakes, while OpenAI says ChatGPT Search uses multiple factors and does not guarantee placement.
A practical 30-day measurement plan
You can get much more value from a modest tool if you establish a disciplined baseline.
Week 1: Build your question set
Create 30–50 questions covering your most commercially important topics.
Divide them into category, comparison, recommendation, problem-solving, and brand-specific questions.
Week 2: Establish the baseline
Run the same questions across the AI platforms most relevant to your customers.
Record mentions, citations, competitors, sentiment, and inaccurate claims.
Week 3: Investigate the sources
Look at the pages and publications repeatedly appearing in responses.
This is often the most revealing part of the exercise. You may discover that AI systems repeatedly rely on sources your team had never considered important.
Week 4: Prioritize changes
Do not attempt to fix everything.
Identify the five biggest visibility gaps, assign an owner to each, and continue monitoring the original prompt set. This creates a feedback loop instead of a one-off report.
What recent changes mean for buyers
The market is moving quickly enough that platform coverage itself has become a buying criterion.
Google’s AI Overviews are now a core part of its Search experience, while AI Mode can break a complex question into subtopics and search multiple sources before generating a response.
ChatGPT Search similarly retrieves current web information and provides citations to sources used in responses.
The implication is important: checking only one AI assistant gives you an incomplete picture.
Recent industry reporting also illustrates how quickly source patterns can change. Axios reported that Reddit’s share of ChatGPT citations fell sharply between July 18 and August 7, 2026, based on data from Promptwatch.
That volatility is precisely why historical monitoring is more useful than occasional manual checks.
Frequently Asked Questions
What is LLM visibility checking software?
LLM visibility checking software monitors how often and how prominently a brand appears in AI-generated answers. Most platforms also track citations, competitors, sentiment, prompts, and changes over time.
What is the best LLM visibility checking software for a small business?
OtterlyAI is a strong starting point because its current entry plan is $29 per month and includes daily monitoring across four major AI platforms.
How many prompts should I track?
Start with roughly 20–50 commercially important questions. Expand the library when you need greater coverage across products, customer segments, countries, or languages.
Why does my brand appear in one AI platform but not another?
Different AI products use different retrieval systems, models, sources, interfaces, and data signals. Visibility on one platform therefore does not guarantee visibility on another.
Should I track citations or mentions?
Track both. Mentions measure whether your brand enters the answer; citations reveal which sources the AI system uses to support what it says.
Key Takeaways
- The best LLM visibility checking software depends on your use case, not a universal leaderboard.
- OtterlyAI is a strong low-cost starting point, with plans beginning at $29/month.
- Profound is better suited to organizations needing deeper enterprise analytics, while Scrunch targets larger AI visibility programs.
- Peec AI is particularly useful for prompt-level analysis, including visibility, sentiment, competitors, and cited sources.
- Semrush makes sense when you want AI visibility measurement inside a broader marketing platform.
- Do not judge visibility from one AI response. Repeated prompts and historical data provide a much more reliable picture.
- Mentions, prominence, citations, and factual accuracy answer different questions. The strongest monitoring programs measure all four.
Additional Resources
- AI features and your website: Provides Google’s official guidance on how AI Overviews and AI Mode use web content and what website owners should understand about these experiences.
