Semrush is a strong first choice for an established SEO team, while Peec AI, Profound and Otterly.ai suit different tracking needs. These are among the best AI visibility products for marketing teams working to understand brand visibility in AI search. The right fit depends on engine coverage, prompt choices, workflow fit and your team’s ability to act on findings.
Share of voice is the proportion of tracked AI answers that mention a brand compared with the brands being monitored. A clear comparison can help you choose a platform that fits your team, rather than one with features you cannot use. The most useful platform is the one that helps your team turn a visibility gap into a measurable improvement.
Key Takeaways
- Semrush combines AI visibility work with an established SEO toolkit.
- Peec AI centers on prompt and competitor tracking.
- Profound is built for enterprise analysis and reporting needs.
- Otterly.ai offers a lower-cost starting point for basic monitoring.
- Frase links visibility signals with content research and production.
- Compare coverage and workflow before choosing a platform.
What Do AI Visibility Tools Measure?
A visibility platform tracks whether your brand shows up in an answer, not whether a text sample was written by AI. It checks how answer engines describe your brand and which pages they cite. That distinction separates visibility tracking from an AI detector.
Five common signals are brand mentions, position, citations, sentiment and share of voice. Together, they show whether your brand appears, how it compares with competitors, and what sources support an answer.
- Brand mentions show whether an answer names your company or product.
- Position records where your brand appears in the answer or results.
- Citations identify pages the engine points to as sources.
- Sentiment describes the tone of the answer about your brand.
- Share of voice compares your mentions with monitored competitors.
An AI detector estimates whether text may have been written by AI. It does not show where a company appears in AI answers.
ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and Google AI Mode are distinct answer engines. Each can return different answers, and monitoring products may cover different sets of engines.
Answer engines are not visibility products
Perplexity AI and Claude AI are answer engines that some monitoring products track. They are not visibility platforms themselves. If you are comparing how assistants answer questions, this 2026 chatbot comparison outlines differences among several common engines.
An AI detector reviews a text sample for signs of machine-written content. Visibility tracking instead measures brand appearances, descriptions and citations across chosen engines.
Check whether a dashboard separates a mention from a citation, since those are different signs of visibility.
Which Features Matter Most?
Start with the answers your buyers use, then check whether a product can report those answers at a useful level of detail. Useful detail means seeing prompt results, sources and competitors in a form your team can act on.
Broad model coverage does little good if your team cannot monitor enough relevant prompts or interpret the results. Use this checklist to compare the work behind the headline engine count.
- Coverage of the engines your audience uses.
- Prompt discovery and grouping by topic or intent.
- Citation detail that shows the pages behind an answer.
- Competitor and sentiment comparisons in useful views.
- Recommendations or integrations that help your team act.
Prompt and competitor coverage
Prompt wording, answer engine, geography and time can all affect a tracking run. A prompt such as “best tools for small firms” may produce a different answer from “best accounting tools for a small firm.”
Good generative engine optimization, or GEO, starts with the questions buyers ask. Group prompts by topic, market or stage so your team can spot patterns without treating every answer as equal.
Google Search Central says standard SEO practices remain relevant to AI search. Its AI search guidance highlights crawlability, indexability and helpful content. These basics still matter when search engines create AI answers.
Citations, sentiment and actionability
A citation trail can show which pages an engine used, while a mention only confirms that it named your brand. Those signals answer different questions. You can also read guidance on checking AI citations against sources for a useful approach to source review.
A platform should help you move from findings to content or SEO work. Check whether it offers clear recommendations, exports or integrations with tools your team already uses.
Prioritize a clear citation trail over a larger engine count if your team needs to know what to improve.
What Are the Best AI Visibility Products?
The shortlist divides cleanly between SEO suites, dedicated monitoring, enterprise analytics and content workflows. Each platform suits a different kind of team, so the strongest choice depends on the work you need to do.
Use the comparison to narrow the field, then check whether its coverage matches your audience. Engine names and capabilities can vary by plan.
Match a platform to its main strength
| Product | Best fit | Tracked engines | Distinguishing capability |
|---|---|---|---|
| Semrush | SEO teams consolidating visibility work | ChatGPT, Google AI, Gemini, Perplexity | SEO and AI tracking in one toolkit |
| Peec AI | Marketing teams and agencies | Three selected models on standard plans | Prompt and competitor analysis |
| Profound | Enterprise teams | Engine selection depends on plan | Enterprise analytics and exports |
| Otterly.ai | Freelancers and small teams | ChatGPT, Perplexity, Google AI Overviews, Copilot | GEO audits |
| Frase | Content teams | ChatGPT, Perplexity, Claude, Gemini, Google AI | Content research through publishing |
Read the comparison by coverage and workflow
Semrush brings AI visibility alongside SEO work. Peec AI gives teams a prompt-led view of competitor presence, while Profound focuses on enterprise analysis.
Otterly.ai offers foundational monitoring and audits. Frase connects visibility tracking to content research and publishing, which can suit teams that create pages in the same platform.
Use the profile sections to verify that a platform’s main strength matches the work your team actually needs to do.
Is Semrush AI Visibility Toolkit Right for SEO Teams?
Semrush is most compelling when AI answer tracking belongs in the same workflow as established SEO work. The combined setup can help a team move from visibility results to research, audits and page updates.
The $99-per-month Base plan includes one project, one Brand Performance domain and 25 tracked prompts. It tracks mentions from ChatGPT, Google AI, Gemini and Perplexity.
What the Base plan tracks
Base includes AI Search Checks for up to 100 pages. AI Analysis reports allow 300 daily queries, while Prompt Research allows 1,000 daily queries.
Visibility Overview, Competitor Research, Prompt Research and Prompt Tracking update daily. Brand Performance updates weekly, while Site Audit updates on demand.
The plan provides daily, weekly and monthly data updates. Prompt Tracking supports more than 220 countries and territories, which can help teams compare markets.
Extra blocks of 50 prompts cost $60 per month. Each additional Brand Performance domain costs $99 per month, so added brands can change the total.
When the Semrush ecosystem helps
Existing SEO research and audits can guide follow-up work. A team can use keyword and page findings to review content that matters to tracked prompts.
Semrush One is a separate bundled-plan option. Starter tracks 50 prompts, Pro+ tracks 100, and Advanced tracks 200.
Before choosing it, confirm that the Base plan’s prompt and domain limits match the number of brands you need to monitor.
How Does Peec AI Handle Prompt Tracking?
Peec AI gives teams daily prompt tracking with unlimited users, while the project and prompt allowance changes by plan. That setup lets several team members review visibility data without adding user seats.
Monthly AI-answer volume equals tracked prompts multiplied by active models and tracking frequency. More models or more frequent checks create more answers to review.
Compare the brand plan tiers
| Prompt limit | Selected models | Projects | Users and frequency |
|---|---|---|---|
| 50 prompts | 3 models | 1 project | Unlimited users, daily |
| 150 prompts | 3 models | 2 projects | Unlimited users, daily |
| 350 prompts | 3 models | 5 projects | Unlimited users, daily |
Enterprise offers custom prompt tracking, unlimited projects and API access. It also includes SSO and tracking across up to 13 large language models.
Factor models and frequency into response volume
For example, 50 prompts checked daily across three models produce 150 AI answers per day. Checking the same prompts twice daily would double that volume.
Peec AI tracks daily visibility, position, sentiment and share of voice against competitors. Its crawlability audit checks whether robots.txt allows, partly allows or blocks more than 40 AI bots.
Estimate the number of answers you will actually review, not just the prompt count on the plan.
When Is Profound the Better Fit?
Profound suits teams that need structured enterprise analysis more than a lightweight mention dashboard. Its depth can support analysts who build reports across several answer engines.
The free Trial runs 50 prompts daily for seven days across ChatGPT, Gemini and Google AI Overviews. Enterprise expands the scope with tailored tracking and a longer analysis history.
What the free Trial covers
The Trial gives a team a short way to see whether its prompts produce useful results. It covers three engines, which offers a focused test of basic tracking.
A week of daily runs can help analysts inspect mentions and sources. It is a limited window, not a long-term history of brand visibility.
What Enterprise adds
Enterprise pricing is custom. The plan includes tailored prompt tracking, up to nine answer engines, unlimited seats and all-time history.
Teams can export data as CSV or JSON. Enterprise also includes SSO/SAML and SOC 2 compliance.
The listed engines include ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Anthropic Claude, Google AI Overviews and Exa Search. A large engine list matters most when analysts can use the added results.
Choose this depth only if analysts or reporting workflows can use the data. Confirm which answer engines and export formats are included in the actual Enterprise configuration before planning a rollout.
Is Otterly AI Enough for a Small Team?
Otterly.ai can give a small team a straightforward starting point for tracking mentions and checking page readiness. Its entry plan starts at $29 per month, and the platform offers a free trial.
Otterly.ai includes ChatGPT, Perplexity, Google AI Overviews and Copilot in its engine coverage. Gemini and Google AI Mode are available as add-ons.
Core engine coverage
The four included engines can provide a basic view of brand mentions across popular AI answers. Add-on access may be needed if your audience relies on Gemini or Google AI Mode.
Coverage matters because a result from one engine does not show how another describes your brand. A small team can start with the services its customers use most.
Where the audit helps
Otterly.ai’s GEO Audit reviews more than 25 on-page factors. It can help a team inspect pages for issues that may affect readiness for AI search.
An audit is a readiness check, not proof that a page will appear in an AI answer. Results still depend on what the engine returns for a given question.
Verify whether the engines your customers use are included or require an add-on.
What Does Frase Add to Visibility Monitoring?
Frase is a better fit when the same team wants to monitor visibility and work on the content that may improve it. Its wider workflow connects research with writing and publishing.
Frase tracks brand visibility across ChatGPT, Perplexity, Claude, Gemini and Google AI. Its entry price is $39 per month with annual billing.
Connect monitoring to content work
A team can research a content opportunity, draft a page, optimize it and publish it in the same platform. Visibility tracking adds a way to see whether the brand appears in selected AI answers.
This connection can help content teams keep research and production close together. Findings about citations or missing mentions can inform which pages deserve attention.
Check whether the workflow fits
Frase’s breadth can overlap with an existing content stack. If your team already has separate tools for research, writing and publishing, another full workflow may add little value.
A monitoring-only need may call for a narrower platform. The best fit depends on whether your writers will use the production features, not simply whether they are available.
Map the platform’s writing and publishing features against your current editorial process before adding another workflow.
Can Mentionova Turn Visibility Data Into Actions?
Mentionova is worth considering when a team wants a daily digest that turns visibility observations into proposed next steps. The daily brief includes ranked action items and pre-drafted plays.
Plans start at $99 per month and include a 14-day trial. The platform tracks brand visibility across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews and Reddit.
What the daily brief provides
Ranked actions can help a team decide what to handle first. Pre-drafted plays can give an owner a starting point for content or outreach work.
A digest may also make findings easier to share with people who do not spend their day in a tracking dashboard. The team still needs to judge whether each suggestion fits its brand and goals.
Where its coverage is useful
Reddit coverage adds a different kind of surface to the named AI engines. A team can consider it when community discussions matter to its brand visibility.
An action suggestion is not proof that visibility improved. Only a later check of relevant prompts can show whether the answer changed.
Assign an owner to each suggested action and retest the relevant prompts before treating it as a result.
Who Should Consider ZipTie?
ZipTie is an option for teams that want to investigate visibility data in depth and can monitor consumption. Its stated use centers on analysis and reporting.
ZipTie starts at $35.63 per month and uses usage-based billing. Your total depends on activity, so a starting price alone does not show the likely monthly cost.
Deep analysis and reporting
Teams that need to examine results in detail may prefer an analysis-focused platform. Reporting can help them study brand visibility, competitors and prompt results over time.
That work has value when a team has people who can review the findings and turn them into decisions. A smaller team with basic monitoring needs may not use the same depth.
Usage-based billing
Usage-based billing can be harder to predict than a fixed prompt tier. Estimate expected activity before comparing ZipTie with a subscription that sets a monthly limit.
Do not assume that one particular prompt count sets the bill. The useful comparison is the cost of the activity your team expects to run.
Model a realistic month of tracking before comparing its starting price with a fixed-tier subscription.
Which Other Platforms Are Worth Comparing?
The strongest alternatives depend on whether your team values SEO data, content workflows, brand research or downstream analytics. These options can fill needs that a dedicated tracker may not cover.
Choose an alternative when its main workflow adds something your current stack lacks. Similarweb and Clearscope suit SEO or content work, while Amplitude connects visibility with business activity.
SEO and content ecosystem options
| Platform | Distinguishing focus | Coverage or connection | Pricing fact |
|---|---|---|---|
| Similarweb | Combined SEO/GEO | SEO and GEO tracking | By request |
| Clearscope | Content creators | Content-focused workflow | From $129/month |
| Ahrefs Brand Radar | Brand intelligence | AI brand monitoring | Add-on from $199/month |
| Amplitude | Business outcomes | ChatGPT, Claude, Perplexity, Gemini; product and web analytics | Free tier available |
Analytics and referral context
Similarweb combines SEO and GEO tracking, with pricing available by request. Clearscope targets content creators, while Ahrefs Brand Radar adds AI brand monitoring to its brand intelligence work.
Amplitude monitors ChatGPT, Claude, Perplexity and Google Gemini. It connects visibility signals with product and web analytics, making it relevant when teams need to study downstream user behavior.
The other options can suit teams already focused on SEO or content operations. Include an alternative only if its distinguishing workflow fills a gap in your existing stack.
Which Tool Fits Your Team and Goals?
For most established SEO teams, Semrush is the most practical default; the best alternative changes with the work the team needs to do. Team fit matters more than a universal ranking.
A lean team should favor a platform it can use consistently, while a larger operation may need stronger reporting and access controls. Match the tool to the job you need done now.
Choose by team size and workflow
- Semrush fits established SEO teams with a shared SEO workflow.
- Peec AI suits growing teams and agencies tracking prompts and competitors.
- Profound fits enterprise teams that need analytics and reporting.
- Otterly.ai suits small teams starting with foundational monitoring.
- Frase fits teams that combine visibility work with content execution.
Match the product to the job
Small teams often have limited time to review data and assign work. A tool with a clear daily routine can be more useful than a platform with features no one owns.
Larger marketing teams may need shared reporting, access controls and a wider view across markets. Those needs can justify a more involved platform when the team has analysts to support it.
Choose the platform whose primary workflow solves your current bottleneck, not the one with the longest feature list.
How Should You Compare Pricing and Limits?
Compare the monthly price only after checking how many prompts, engines and projects it buys. The headline cost can hide add-ons or plan limits that matter once tracking grows.
Compare prompts, active engines, projects, users and tracking frequency, not the monthly price alone. The table shows common entry points and stated prompt limits.
Compare the starting plans
| Product or plan | Starting price | Prompt limit | Billing or scaling condition |
|---|---|---|---|
| Semrush AI Visibility Toolkit | $99/month per domain | 25 prompts | Extra prompts and domains cost more |
| Peec AI | $95/month | 50 prompts | Higher tiers raise prompt and project limits |
| Profound Starter | $99/month | 50 prompts | Starter tracks ChatGPT |
| Frase | $39/month | Not stated | Annual billing |
| Otterly.ai | $29/month | Not stated | Free trial available |
Estimate the cost of scaling
Semrush One Starter costs $199 per month, Pro+ costs $299, and Advanced costs $549. Semrush’s extra 50-prompt blocks cost $60 monthly, while another Brand Performance domain costs $99 monthly.
Peec AI costs $245 per month for 150 prompts and $495 for 350. Profound Growth costs $399 monthly, while its Starter plan costs $99.
Mentionova starts at $99 per month, and ZipTie starts at $35.63. Clearscope starts at $129, while Ahrefs Brand Radar is an add-on from $199 monthly.
Calculate the cost of the first realistic month of tracking, including any add-ons the team needs.
How Reliable Is AI Visibility Data?
Treat visibility scores as consistent tracking signals, not as a permanent ranking of every answer a customer might receive. AI answers shift with model, prompt wording, location and time.
Use the same prompt set, engines and tracking conditions when comparing results over time. Four cautions can help you avoid reading too much into one change.
- Answer variation: the same prompt can produce different answers.
- Prompt selection bias: a narrow set may favor certain topics or brands.
- Different engine coverage: platforms may track different answer engines.
- Referral share versus answer visibility: traffic share does not measure mentions.
Why results can shift
Prompt wording and location can affect which sources an engine uses. A brand may appear in one run and disappear in another, even when the underlying page has not changed.
For consistent chatbot comparisons, teams can use the same questions across tools. A chatbot comparison for work and study also explains why citations should be checked rather than treated as proof.
Read referral figures with care
Referral share describes traffic sent by a platform, not the share of AI answers that mention a brand. Perplexity’s share of worldwide AI chatbot referrals fell from 7.91% in June 2026 to 4.31% in August 2026.
Gemini’s share rose from 7.94% in June 2026 to 10.9% in August 2026. Those figures show channel shares moving in different directions, not brand visibility.
Referral share is not a measure of brand mentions or the share of all AI use.
Compare the same prompt set, engines and tracking conditions over time before interpreting a change as progress or decline.
How Can You Get Started With AI Visibility Tracking?
Start with a small set of buyer questions that can lead to a clear content or technical action. A focused start gives your team a useful baseline without flooding the dashboard.
Define the prompts, engines and competitors you will compare before tracking begins. Too many loosely related prompts can obscure which buyer questions matter.
Build a focused prompt set
- Select high-intent buyer questions that relate to real decisions.
- Choose the answer engines your customers use.
- Add relevant competitors for each topic or market.
- Record mentions and citations on a consistent schedule.
- Assign content or technical follow-up with a retest date.
Turn findings into a repeatable cycle
Review answers for patterns, then connect each gap to a page or technical issue. Google Search Central says helpful content, crawlability and indexability remain relevant to AI search.
Google also says pages must be indexed and eligible to appear with a snippet in Search. Teams do not need special AI files or schema markup for these features.
A repeatable cycle gives owners time to make a change and check the related prompts again. Keep the original prompt set stable long enough to compare results before expanding it.
Conclusion
Choose the platform that connects the visibility question your team has to work it can actually complete. Established SEO teams can start with Semrush, while Peec AI, Profound, Otterly.ai and Frase suit different tracking or execution needs.
Test a defined set of buyer prompts in the platform that best matches your workflow. Keep the first test small enough to review and connect to a real content or technical task.
Write down 10 high-intent buyer prompts and use them to evaluate your top-fit platform.
FAQ
How many prompts should an AI visibility platform track?
Start with a focused set of high-intent buyer questions, often grouped by topic or market. The right count depends on how many topics, markets and engines your team can review consistently. A small, useful set is easier to interpret than a large list of loosely related questions. Add prompts when you have a clear reason to track them.
How often should a brand check AI visibility?
Some plans offer daily tracking, but your team should compare results on a consistent schedule. AI answers can change between runs, so one daily shift may not signal a lasting change. Pick a review rhythm your team can maintain, then compare the same prompts and engines each time. Daily tracking helps when someone can review the added results.
Can AI visibility tools track Google AI Mode and Google AI Overviews separately?
Yes, some products name Google AI Mode and Google AI Overviews as separate experiences, while others list only one. Do not assume that a plan covering Google AI includes both. Check the exact engine names in the plan and dashboard. Separate tracking matters if your team needs to compare how each Google experience describes the brand.
What is the difference between a brand mention and a citation?
A brand mention names your company or product, while a citation points to a source used in the answer. An answer may mention your brand without linking to one of your pages. It may also cite a page without naming your brand in its text. Tracking both signals helps you see whether the answer names you and whether your content supports it.
Do AI visibility tools replace SEO tools?
No, AI visibility tools do not replace SEO tools. Some platforms combine SEO research, site audits and AI monitoring, while standalone trackers focus on answers, mentions and citations. SEO work still helps teams review crawlability, indexability and useful content. Choose a combined product if your team wants one workflow, or keep separate tools when each has a clear role.
Is a free trial enough to evaluate an AI visibility product?
A free trial can be enough to test core features with real buyer questions, but it may not show long-term patterns. Use the trial to check engine coverage, prompt relevance, citations and reporting. Note how easily your team can assign follow-up work. A short test is most useful when you have a defined prompt set and clear criteria before it begins.
