Comparison
The best AI visibility tools for your team and workflow
The best AI visibility tools are the ones that measure the questions your buyers ask and fit the people who will act on the results. Compare coverage, evidence, costs, and implementation workflow before choosing software. If nobody owns the improvement work, a done-for-you agency may be the more useful purchase.
This guide compares published products by use case. It also explains the questions to ask when a dashboard looks impressive but the business still needs a plan.
Last updated
Disclosure
LLM Listed is an AI visibility agency, not a software tool. We track AI visibility across 650+ accounts with our own technology and data, and our team does the work to improve it. We are not a neutral reviewer. Here is how we put this comparison together.
Quick shortlist by use case
| Your need | Options worth investigating | Decision to verify |
|---|---|---|
| Enterprise AI search operations | Profound, BrightEdge AI Catalyst, Adobe Brand Visibility, Brandlight | Governance, current workflow, coverage, and the actual enterprise proposal |
| A focused monitoring starting point | Peec AI, OtterlyAI, Rankscale | Required prompts, engines, markets, and evidence access |
| Agency or multi-brand work | Peec AI agency plans, OtterlyAI, Rankscale, Searchable | Workspace separation, reporting, client access, and total coverage cost |
| Search and AI research together | Semrush, Ahrefs Brand Radar, BrightEdge | Which product or add-on contains the needed data |
| Product and shopping discovery | Profound, Peec AI, Searchable, Brandlight | Exact SKU/variant identity, market support, and shopping scope |
| Brand perception and broader activation | Share of Model, Brandlight, Scrunch | What the selected modules do and who implements recommendations |
| A team to manage improvement work | LLM Listed, our own agency | Agreed research, implementation, approvals, and reporting scope |
These are starting points, not a ranking of performance. A vendor's inclusion means its published offering is relevant to investigate, not that every plan includes every capability mentioned here.
What should an AI visibility tool measure?
Start with the observation you need. A brand mention shows that the name appeared. A citation links to a source. A recommendation indicates that the answer selected or suggested an option. A sentiment label classifies wording. None automatically establishes a sale or even an accurate description.
The definitions behind share metrics matter. One product may divide brand appearances by sampled answers. Another may compare mentions among a set of competitors. Citation share may use source URLs, domains, or answers as its denominator. Two percentages with the same label can describe different things.
Prominence also needs a definition. Being first in a genuine ordered shortlist is different from appearing early in an explanatory paragraph. Ask whether the system records answer order, recommendation strength, source placement, or a derived score. Inspect examples where the label could be ambiguous.
Accuracy should be checked against agreed facts. A positive description containing the wrong product price is not a clean success. Review company identity, offering, geography, current features, and qualifications separately from the tone of the answer.
Coverage needs a product-level view. Confirm the specific assistant or search experience, market, language, collection frequency, and plan. A vendor listing a platform on its website does not mean that your chosen subscription includes unlimited sampling of every version of it.
Finally, examine exports and evidence retention. A monthly presentation should let you investigate the source observations. If the only accessible output is an aggregate score, it may be difficult to explain an unexpected change or carry your history into a new workflow.
The software options
Profound: evaluate the enterprise operating workflow
Profound currently presents Answer Engine Insights alongside an AI Marketer and agent workflows. Its reviewed pricing page lists a free trial and custom Enterprise packaging. The trial lists ChatGPT, Gemini, and Google AI Overviews; Enterprise describes a tailored tracking plan. Checked November 11, 2026.
Investigate it when your team wants to organize AI search work inside a product and can evaluate a tailored agreement. Ask for a demonstration using one real question, its source evidence, and the task it creates. Do not assume that software recommendations and a separately staffed implementation engagement are identical.
Read our Profound alternatives guide and LLM Listed versus Profound for the buying distinction.
Peec AI: compare the plan with your actual prompt portfolio
Peec AI's brand pricing lists Starter at $95 per month, with 50 prompts, a choice of three models, daily tracking, and one project. It also lists higher brand plans and separate agency packages. These are the monthly prices displayed on November 11, 2026.
It is a relevant option for teams organizing a defined tracking program. The purchase question is not simply whether a model appears somewhere in the product range. Check which models, markets, and projects the selected plan supports. See our Peec AI alternatives guide.
Searchable: consider an integrated product workflow
Searchable describes AI visibility analytics, prompt intelligence, content, technical optimization, shopping, and an agent. It should not be characterized as only a passive reporting dashboard.
Its pricing page displayed Pro at $125 per month with an Annual billing label on November 11, 2026. Additional models and higher tiers affect scope. Confirm the billing commitment before treating the displayed monthly equivalent as a cancel-anytime monthly subscription. Our Searchable alternatives guide focuses on that workflow decision.
OtterlyAI: examine the current packaging
OtterlyAI's pricing displayed Lite at €29 per month in the locale retrieved on November 11, 2026. The page describes configurable engine coverage and prompt credits. Do not substitute a dollar sign for the displayed euro price or apply an old engine/add-on table to the new package without checking it.
It is worth investigating for a defined monitoring scope, with the actual engines, cadence, and workspace arrangement selected before comparing cost. See OtterlyAI alternatives.
BrightEdge AI Catalyst: connect the comparison to your SEO requirements
BrightEdge AI Catalyst describes tracking mentions and citations across AI platforms, competitor benchmarking, sentiment, and prompt intelligence. BrightEdge's broader positioning includes enterprise SEO.
Investigate both the conventional search responsibilities and AI visibility requirements when evaluating it. A buyer replacing an enterprise SEO platform needs more than a narrow prompt tracker. Pricing and contractual scope should be confirmed through a proposal. See BrightEdge alternatives and LLM Listed versus BrightEdge.
Semrush: check which toolkit you actually need
Semrush's AI feature guide separates AI Visibility, SEO, content, and enterprise offerings. It lists AI Visibility starting at $99 per month and Semrush One starting at $199 per month, checked November 11, 2026.
It is relevant when you want to assess AI work alongside established search research. Confirm the data and actions included in the specific toolkit, rather than attributing the whole suite to its lowest advertised price. Existing subscribers should check overlap before adding another subscription.
Ahrefs Brand Radar: distinguish tracking from research indexes
Ahrefs Brand Radar presents Prompt Tracking and an AI Visibility Index as distinct approaches. The reviewed page displays starting prices of $50 per month and $199 per month respectively, alongside plan-related inclusion wording. Checked November 11, 2026; confirm account entitlements and the complete purchase configuration.
This distinction is useful when deciding between an agreed buyer-prompt portfolio and broader exploratory research. Ask which dataset supports the metric you will report. A broad index and a custom prompt set answer related but different questions.
Brandlight: evaluate measurement and action together
Brandlight presents visibility and measurement, attribution, content optimization and creation, AI ads, and commerce. Its public positioning is relevant to enterprise brands evaluating how insight connects to work.
Ask for evidence that the selected workflow addresses your actual category and approval process. Do not assume that another platform has a fixed prompt set or that Brandlight's output is incomparable without examining the methods. Pricing is not quoted here because a comparable configured amount was not established.
Scrunch: investigate the AI customer experience
Scrunch describes monitoring, citation insights, bot-access diagnostics, and an Agent Experience Platform for delivering AI-oriented content to agents. Its offering extends beyond an aggregate brand score.
Teams considering changes to content delivery should involve the people responsible for publishing, security, and technical maintenance. Ask what the system changes, which visitors or agents receive it, how accuracy is preserved, and how rollback works. This guide does not establish a comparable subscription price.
Rankscale: evaluate the coverage you intend to use
Rankscale lists AI visibility tracking across platforms including ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, along with citations, sentiment, and page audits. Checked November 11, 2026.
It is relevant to teams comparing multi-platform workflows. Test the evidence available for your own questions and clarify how countries, client workspaces, and prompt frequency affect the plan. No claim about relative accuracy or value is established by the number of engines listed.
Share of Model: look beyond a narrow SEO dashboard
Share of Model identifies its offering with Jellyfish and presents brand perception, search visibility, asset evaluation, and activation. Its pricing page lists Search AI Essentials at $799 per month and a custom Strategic Suite, checked November 11, 2026.
Investigate it when brand interpretation and broader activation matter alongside search visibility. Check the selected modules and support arrangements instead of assuming the whole offering is self-serve. Our direct comparison explains how to scope that decision.
Adobe Brand Visibility, formerly Adobe LLM Optimizer
Adobe's current product page uses the name Adobe Brand Visibility and describes enterprise tracking, optimization deployment, and impact measurement. The former LLM Optimizer name remains useful for identifying the product referenced in older material.
Teams evaluating it should include the owners of the relevant Adobe systems, publishing controls, and deployment approvals. Do not describe its workflow as measurement only. A comparable configured price and contractual scope were not established in this review; request those details directly.
Feature comparison without misleading checkmarks
| Buying question | What to compare | Why a simple yes/no is insufficient |
|---|---|---|
| Platform coverage | Actual engines on the selected plan | A product-range logo does not establish your subscription's scope |
| Prompt control | Who selects, edits, and groups questions | Coverage quality depends on buyer relevance and maintenance |
| Source evidence | Answer text, citation URLs, dates, exports | A score alone cannot explain a change |
| Action features | Recommendations, drafting, integrations, deployment | Availability does not establish who approves and owns delivery |
| Shopping | Brand, product family, and exact-SKU treatment | A brand mention is not an accurate variant recommendation |
| Commercial reporting | Referral, event, CRM, and attribution definitions | Correlation is not a complete revenue attribution model |
Use these questions to inspect the actual product demonstration and order form. Where a feature is not described in the reviewed documentation, ask the vendor rather than publishing an unsupported absence claim.
How do you run a useful product evaluation?
Choose one question that matters to the business and one person who will use the product regularly. Inspect the answer evidence together, identify a supported issue, and describe the work that would follow. Then ask how the proposed package supports each step.
Include an inconvenient example, such as an ambiguous brand name, a product variant, or a source that contradicts the website. This shows more about the workflow than a perfectly prepared demonstration. Check how uncertainty is recorded and how a human can challenge an automated classification.
Finish with a written decision: what the product would replace, what additional work remains, and who would own it. That makes the trial useful even if the conclusion is to keep the existing setup.
Are AEO tools and GEO tools different categories?
The labels overlap. AEO emphasizes answer engines, GEO emphasizes generative engines, and AI visibility describes a wider set of observed appearances. A vendor may use more than one label for the same underlying workflow.
Focus on the question the tool answers. Does it show your own sampled prompts, estimated market demand, a broad research index, website agent visits, or a mixture? Those are more useful distinctions than the acronym on the homepage.
Our LLM optimization guide explains the underlying work. Use the terminology to orient the conversation, then specify the evidence and implementation you need.
When is a tool enough?
A tool can be sufficient when someone already owns research, publishing, technical fixes, and performance review. The software may help that team observe a gap, investigate it, produce work, or coordinate changes. The team still needs to choose priorities and approve claims.
Start with a realistic workflow. Pick an important buyer question, inspect the answer evidence, agree on a change, publish it through the normal process, and retest. If your people can repeat that cycle, software can be an efficient part of the operating model.
Do not buy a larger tracking program simply because more prompts are available. A small maintained portfolio with real action can be more useful than a broad report nobody reviews. Conversely, narrow coverage can miss important markets if the business genuinely serves them.
When should you consider a done-for-you agency?
An agency can be useful when the gap is delivery capacity, specialized judgment, or coordination across content, technical work, authority, and approvals. Ask for a concrete implementation scope instead of assuming that the word agency guarantees it.
LLM Listed is our own done-for-you option. We track AI visibility across 650+ accounts with our own technology and data. We use that experience to inform a client-specific method, then carry out the agreed improvement work and review the evidence. We do not claim that account count proves superior accuracy to every tool.
Explore our AEO agency service, Big Four tracking, and AI intelligence and measurement. Our agency-selection guide explains how to assess a proposal.
Seven questions before you choose
- What are we measuring? Separate brand mentions, linked source citations, recommendation placement, factual accuracy, and commercial outcomes.
- Does the sample match our buyers? Check branded versus unbranded prompts, products, markets, languages, and how the prompt set is maintained.
- Which experiences are covered? A model API, a consumer assistant, an AI Overview, and a logged-in search experience are not automatically interchangeable.
- Can we inspect the evidence? Ask to see the answer text, source URLs, collection dates, and the denominator behind percentages.
- Who turns the finding into a change? Name the person or service responsible for content, technical work, PR, approvals, and retesting.
- What is the total commitment? Compare the needed coverage and implementation capacity, including add-ons and contract terms, rather than headline subscriptions alone.
- What happens when we leave? Confirm exports, historical evidence access, data ownership, and the handover process before committing.
Frequently asked questions
What is the best AI visibility tool?
There is no universal winner without knowing your prompt scope, platforms, budget, and delivery workflow. Start with the use-case shortlist, then inspect evidence and plan details using your own buyer questions. A tool that suits an enterprise research team may be unnecessary for a small business seeking a focused baseline.
What are the best AEO tools for small businesses?
Compare the complete cost of the scope you need and the time available to act on it. Peec AI, OtterlyAI, and Rankscale are options to investigate, with current plan details checked directly. A free scan can be a useful first step before committing to a recurring monitoring workflow.
Are AEO and GEO tools the same thing?
The categories overlap, and product naming is not standardized. Compare the actual inputs, data, platforms, evidence, and actions available. Some products combine traditional search research with AI tracking; others emphasize a defined prompt set or broader perception. The label alone does not show which workflow will fit your team.
What should I look for in citation share and prominence metrics?
Ask for the denominator, competitor set, collection conditions, and examples of the underlying answers. Check whether citations are counted by URL, domain, or answer, and what prominence means. Do not compare percentages from different methods as though they are interchangeable, especially after switching vendors or changing your prompt portfolio.
Is there a free AI visibility tool?
LLM Listed offers a free brand visibility scan as a starting point. Vendors may also offer trials or free product features, with current scope set by their terms. A short preview is not the same as a sustained audit or tracking program. Read the labels and limits before interpreting the result.
Can a tool improve visibility, or should I hire an agency?
Some software provides recommendations, agents, drafting, or deployment capabilities as well as measurement. The decision is who will choose, approve, implement, and evaluate the work. Use software when your team can own that cycle. Consider an agency when you need an agreed team and delivery scope, with clear responsibilities.
How we compared
We reviewed the vendors' own product pages, public documentation, and pricing pages on November 11, 2026. This is a comparison of published offerings and buying decisions, not a hands-on benchmark or an accuracy test. Vendor statements describe their products; they are not independently verified performance results.
Software and agency engagements solve different operational needs. Some software includes recommendations, agents, content production, or implementation features. Check which people, services, approvals, and deliverables are included in the actual agreement instead of assuming that a product category tells you who will do the work.
Prices are snapshots in the stated currency and billing configuration. Confirm current models, limits, taxes, add-ons, renewal terms, and cancellation provisions with the vendor before purchasing. Where this guide omits a price, it has not established a comparable amount, rather than established that no price exists.
LLM Listed has not assigned numerical scores, created a neutral ranking, or tested every product against the same prompt set. The shortlist is organized around needs. Our own service appears as a disclosed done-for-you option. A stronger fit for one team may be a poor fit for another.
Last reviewed: November 11, 2026. Spotted an error? Email hello@llmlisted.com.
See where you stand
Run a free AI visibility scan. We track AI visibility across 650+ accounts, then do the agreed work to improve clients' visibility. If you want help choosing the next step, book a call.