8 Best AI Visibility Tools for Brands in 2026: Otterly.AI, Peec AI and OmniSEO (Compared)

Otterly.AI costs $38 a month to track 15 daily prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews, including its Gemini add-on. Among the best AI visibility tools for brands, Peec AI is the stronger starting point for a team that needs 50 prompts and unlimited users, at $130 a month for that same four-engine mix; a mention in an answer still does not mean your page was cited.

Best AI visibility tools for brands: price and coverage

Buy the engine coverage and evidence your marketing decisions need. A lower entry price can cover fewer engines, fewer questions, a slower schedule or an entirely different dataset. The useful comparison is what you can monitor repeatedly for your brand at the recurring price.

Prices and plan details were verified against the vendors' own pages on October 1, 2026. Prices below are USD on monthly billing, before applicable taxes. Annual commitments, introductory offers and add-ons appear in the individual sections. “Prompts” means the questions you want a tool to run; “checks” and “responses” can multiply that workload by engine and frequency.

The cheapest confirmed recurring setup here for all four requested engines is Otterly.AI Lite with Gemini, provided 15 questions are enough. For a 50-question daily sample, Peec AI Starter with a fourth model costs $130; Ahrefs Brand Radar Growth costs $100 for the illustrative four-engine workload calculated below. These are different allowances, so compare the questions you will retain before treating one price as a substitute for another.

What an AI visibility tracker measures: citations versus mentions

A citation creates a linked route to your page; a mention puts your name in the answer. You need both measurements because they answer different business questions. A marketing lead can use mentions to assess whether the brand enters the consideration set, while an owned-page citation identifies a source that could bring a visitor to the website.

Use these definitions when reviewing a dashboard:

• Brand mention: your name appears in the AI answer's text, whether or not it links anywhere.
• Owned-page citation: the answer links your page as a source, directly or through the answer's source references.
• Third-party citation about your brand: the answer links a review, directory or publication discussing you. That may influence buyers, but it is not a link to your website.

A page can also be cited without the company name appearing in the main answer. Ahrefs Brand Radar separates mentions from citations, making that distinction useful when your practical question is whether the answer gives readers a way to reach you.

Consider a fictional monitoring sample of 100 answers. Your brand appears in 60, and 12 link an owned page. The mention rate is 60%; the owned citation rate is 12%. Reporting the first as linked reach overstates that measure fivefold. It does not mean the other mentions have no awareness value, and it does not mean the 12 citations produced 12 visits. Neither metric is a count of actual people who saw the answer.

For a B2B software brand, the distinction changes the work assigned after a report. A mention without a source might call for examining the reviews and comparisons shaping the answer. An owned citation to a pricing page gives the web team a specific destination to improve and measure. A third-party citation points the marketing lead toward the publication or directory influencing the recommendation.

Ask to open the underlying answer, inspect the actual source URL and classify its destination. A score labeled “visibility,” “share of voice” or even “citation” is not enough. Share of voice is a brand's proportion of a measured competitive sample; it is not automatically audience share, search demand or revenue attribution. Some vendors use “citation” broadly, including references without a clickable owned source.

Keep Google AI Overviews, the AI summaries in Google search, separate from Google AI Mode, Google's conversational search experience, and the Gemini app. Pricing pages list these as different surfaces. Paying for Gemini does not establish AI Overviews coverage, and a row labeled AI Mode does not answer the AI Overviews question.

Finally, tracked answers are samples. Ahrefs documents collection without a user's stored context or personalization. Your customers can receive different answers because their wording, location, history or timing differs. A tracker is valuable for comparing a stable sample over time; it cannot certify that every buyer sees the same recommendation.

AI visibility tools: how these were picked

The ordering favors a founder or marketing lead who needs recurring evidence across the requested engines at a defensible cost. It does not rank enterprise procurement depth above a usable starter plan, and it changes when you need a larger sample, existing SEO integration or ongoing agency client reporting.

This comparison verifies public pricing, plan limits and documented capabilities, then calculates costs under stated assumptions. It is not a paid hands-on test of answer accuracy. The screenshots are captures of real vendor pages; the conceptual figures explain measurement and usage rather than imitate product output.

The purchase criteria are concrete:

1. Engine coverage at the tier you buy. A homepage's model list cannot establish the entry plan's coverage. Custom prompts and database reports must be checked separately.
2. A usable denominator. Count questions, engines, locations, collection frequency, checks and response ceilings. Keep the sample large enough to cover actual buying decisions without paying to repeat irrelevant prompts.
3. Source evidence. Prefer the underlying answer and cited URL over a headline score. Owned links, third-party sources and unlinked mentions should remain distinguishable.
4. A report someone can act on. Competitor comparisons and sentiment, the positive or negative framing of a brand, help explain the answer. Exports and integrations matter when findings need to reach a content lead or client.
5. Team and client economics. Seats, project allowances and workspaces, the separate containers for brands or clients, can decide the purchase before the prompt price does.

OmniSEO, Opttab and SE Ranking are site partners. That relationship does not determine their position or remove their limitations. None earns a recommendation here merely by appearing in a partner program.

Tracking does not guarantee visibility. Monitoring can show which pages an engine cites and which competitors it names. Improving the underlying content, distribution and website is a separate job, and a higher monitored score still needs to be assessed alongside visits, qualified leads and sales.

The eight tools, ranked by fit

1. Otterly.AI: best for a founder's first paid sample

Otterly.AI is an AI answer monitoring tool whose Lite plan is the most economical confirmed four-engine starting point in this comparison: $29 a month plus $9 for Gemini. A founder with a narrow product category can use its 15 daily prompts to track buying questions, competing recommendations and linked sources. The constraint is the sample size: Lite cannot take the extra-prompt packs available on larger plans. Choose it when you can identify a focused question set; move beyond Lite when squeezing every market and use case into 15 prompts would hide important differences.

Best for: A solo founder or small marketing group monitoring one narrow brand category.
Standout: Daily tracking with separate link citation analysis, domain ranking and brand visibility reporting.
Pricing: Lite $29/month; Standard $189/month; Premium $489/month; Enterprise custom, starting at 1,000 prompts.
Free trial: Available; the pricing page does not state a duration.

Lite includes ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot, with one workspace. Standard includes 100 prompts and unlimited workspaces; Premium includes 400 and unlimited workspaces. All self-serve tiers include unlimited team members, so adding a colleague does not itself force a seat upgrade. The monthly equivalents displayed for annual billing are $25, $160 and $422 respectively. Annual billing commits you beyond a short validation period, so the lower display price should not decide the initial experiment.

Gemini and AI Mode are separate add-ons. Each costs $9 a month on Lite, $59 on Standard and $149 on Premium. Claude costs $29, $109 or $439 a month respectively. On annual billing, the published charges for each Gemini or AI Mode add-on are $93, $610 or $1,540 per year; Claude is $300, $1,100 or $4,400 per year. Pick the extra engines your audience uses rather than treating a longer engine list as better measurement.

For these four engines, recurring monthly totals are $38 for 15 prompts, $248 for 100, or $638 for 400. The Lite price advantage does not persist unchanged as the sample grows. Standard and Premium offer additional 100-prompt packs for $99 a month; Standard permits up to 300 additional prompts before migration to Premium. An approved agency partnership can increase Standard's base to 150 and Premium's to 500, but that is conditional, not the allowance to assume at checkout.

The workflow is useful when a content lead needs to move from “our name disappeared” to “this source replaced our page.” Link citation analysis and domain ranking help locate that evidence. Standard and Premium add Looker Studio, API access and other reporting integrations, which matter when a recurring report must leave the product. An API is a programmatic way to retrieve data; paying for it makes sense when someone will maintain the reporting workflow, not merely because it appears in a feature list.

Set up the top pick without wasting the allowance

The first setup decision is which buying questions deserve a place in the sample. For an illustrative 15-prompt allocation, reserve five for category discovery, five for specific use cases, three for competitor comparisons and two for branded questions. That is a proposed starting mix, not a benchmark proving those weights work for every business.

1. 1

   Choose buyer questions before adding prompts

   Write the questions your founder, sales lead or customer research can substantiate. A question about finding a product for a particular job is more useful than 15 variations asking whether your own brand is good.

2. 2

   Add Gemini to the required engine set

   Use Lite's included ChatGPT, Perplexity and AI Overviews coverage, then select the Gemini add-on. Budget $38 per month for this configuration; AI Mode is a further optional purchase, not a replacement for AI Overviews.

3. 3

   Record source evidence alongside the score

   Review the underlying answers and cited pages. Classify your owned pages separately from publications or directories discussing your brand, and retain the unlinked mentions as their own measure.

4. 4

   Keep the sample stable while evaluating changes

   Keep the wording and market consistent so a changed answer is interpretable. Assign a marketer to review changed source URLs and decide which page or distribution task follows, rather than treating every score movement as a new campaign.

2. Peec AI: best for a shared brand marketing workspace

Peec AI is an AI search analytics platform whose Starter plan combines 50 daily prompts with unlimited users for $95 a month before an additional model. For a brand team with a content lead, demand marketer and founder reviewing the same question set, its flat user allowance is attractive. The limitation is that self-serve plans include three selected models, while this monitoring requirement spans four distinct engines. Choose ChatGPT, Gemini and AI Overviews as the included set, then budget the monthly Perplexity model addition to reach $130 a month.

Best for: A brand team that needs a larger shared sample without paying per user.
Standout: Brand, competitor and source analytics around a daily question set.
Pricing: Starter $95/month; Pro $245/month; Advanced $495/month; Enterprise custom.
Free trial: A trial is offered; its duration is not stated on the pricing page.

Starter includes 50 prompts and one project. Pro raises that to 150 prompts across two projects; Advanced includes 350 across five projects, plus multi-country tracking and Looker Studio. The allowance is shared across projects, so five projects do not create five fresh 350-prompt budgets. Enterprise uses custom annual pricing, offers unlimited projects and can support up to 13 models, with API and single sign-on, an organization-controlled login system.

The available self-serve model choices include ChatGPT, Google AI Mode, AI Overviews, Copilot, Gemini and Naver AI. Perplexity appears in the additional-model options. Each extra model costs $35 a month on Starter, $85 on Pro or $165 on Advanced. With the four-engine selection described above, the monthly totals become $130, $330 and $660. That is the relevant price comparison for a marketer who will be asked about all four engines at the next budget meeting.

Annual USD base prices display $80, $205 and $420 per month. An additional model on annual billing displays $30, $70 or $140 per month, producing four-engine equivalents of $110, $275 and $560 under that commitment. The page's base and add-on price states can display different billing periods, so avoid adding an annual $30 model fee to a monthly $95 base. The vendor's USD pricing fields were checked for this comparison; these figures are not currency conversions from the euro display.

Peec's pricing matrix describes brand visibility, position, sentiment, share of voice, source domains and URLs, citation share and competitor gaps. The practical reason to buy those views is to establish where a competitor's recommendation comes from. If a software brand is absent from a category comparison, the content lead needs the cited comparison page and the missing buying criterion, not simply a lower score. Source analysis provides a route to that investigation, but confirm the exact source-reporting features in your selected tier before relying on an advanced matrix row.

Peec is the cleaner shared-team starting point than a per-user toolkit when several people need the same evidence. Ahrefs can cost less for a defined custom-check workload, while Peec's prompt allowance is easier to discuss as a standing question set. The decision flips if you need independent country samples, many brands or programmatic exports: plan those requirements before assuming Starter can carry them.

3. Ahrefs Brand Radar: best for an explicit custom-check budget

Ahrefs Brand Radar offers two purchases that should be budgeted separately: a broad AI visibility index and tracking for your own custom questions. Standalone custom tracking starts at $50 a month for 2,500 checks; the broad index starts at $199 a month per index. A founder who wants to run chosen buying questions across the four requested engines can buy custom tracking without a base Ahrefs SEO subscription. The limitation is the unit: one question checked on several engines consumes several checks, so 2,500 checks is not a 2,500-question allowance.

Best for: A brand or analyst who can specify the engine, location and frequency workload before buying.
Standout: Separate mentions and citations, plus a clear distinction between indexed discovery and custom tracking.
Pricing: Custom Basic $50/month; Growth $100/month; Scale $250/month. Broad index $199/month per index or $699/month for all platforms.
Free trial: A free visibility preview and small allowances on existing paid Ahrefs plans; no standalone free-trial claim is made here.

Ahrefs' current help page lists 2,500 monthly checks for Basic, 7,000 for Growth and 25,000 for Scale. Overage rates are $0.020, $0.015 and $0.010 per check respectively. Custom prompts may be purchased standalone. The all-platform index package includes 2,500 custom checks, but that does not turn the index's large research corpus into a similarly large allowance for your questions.

Custom tracking supports ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode and Copilot, with daily, weekly or monthly collection options. Its existing SEO-plan allowances are much smaller: Lite includes 150 checks a month, Standard 300 and Advanced 600. Landing-page examples translating those quotas into daily prompt counts assume one engine. Read them as single-engine examples rather than a promise to run the same questions across every supported platform.

The arithmetic makes the choice concrete. For 50 prompts across four engines, daily for a 30-day month in one location, budget 6,000 checks. Growth's $100 subscription covers that example within its 7,000-check allowance. Basic would cost $120 with overage enabled: $50 plus 3,500 extra checks at $0.020. A lower base price therefore produces a higher total for this workload. On Basic, 20 questions across four engines daily use 2,400 checks in that same 30-day month.

The broad index serves a different job. Ahrefs derives its question corpus from search-keyword data, making it useful for discovering category questions and competitive source patterns you did not preselect. It is not a feed of every private user conversation. Its index question sets are retested monthly, with a 90-day reporting window; custom tracking begins when you set it up. A new or highly niche brand may have limited indexed coverage even if a deliberately chosen custom prompt can produce a meaningful answer.

For a research-minded growth lead, that division is helpful: use the index when the challenge is discovering the landscape, and custom tracking when the challenge is observing a defined campaign or buying category. Do not buy the $699 all-platform index simply because its corpus sounds larger than a 50-prompt competitor. You would be comparing discovery breadth with monitoring capacity.

Stored responses, competitor comparisons and cited source pages support the evidence review. Keep owned links and name mentions separate in reporting, then reconcile interesting citations with your website analytics. The tracker establishes that a monitored answer contained a link, not that a particular buyer clicked it or became a qualified lead.

4. SE Ranking: best for an SEO operator, after quota confirmation

SE Ranking is an SEO suite that now includes AI Results Tracker in Core and Growth, making it a reasonable purchase when the same operator needs search rankings, audits and AI answer monitoring. Core costs $129 a month and includes the four requested engines plus Google AI Mode. The qualification is material: its pricing page advertises “100 prompts to track daily,” while its AI Search help describes engine-specific checks and monthly limits. Buy it for the combined workflow after confirming your intended daily question set across all required engines, rather than treating the headline as an already verified cross-engine allowance.

Best for: A founder's SEO operator or an agency already combining classic SEO and AI monitoring.
Standout: Linked and unlinked mention evidence beside rank tracking, research and website audits.
Pricing: Core $129/month; Growth $279/month; Enterprise custom. AI Search expansion starts at an additional $89/month.
Free trial: Fourteen days without a credit card; trial AI allowance differs from paid plans.

Core lists ten projects, one manager seat and the headline 100 daily prompts. Growth lists 30 projects, three manager seats and 250 daily prompts. Annual upfront billing displays $103.20 and $223.20 per month respectively. A project allowance is not a promise that every project receives its own complete AI prompt allocation, and a marketing lead should distinguish seats with management access from project counts before forecasting collaboration costs.

AI Results Tracker covers ChatGPT, Perplexity, Gemini, AI Overviews and AI Mode. The vendor describes linked and unlinked brand mentions, cited domains and URLs, stored answer copies and historical data, collected through direct monitoring of the platforms' interfaces. This is the evidence layer an SEO lead needs when a page ranks in regular search but fails to appear as a source in the sampled AI answer. Traditional keyword, competitor and backlink research, site audits and analytics integrations sit in the same subscription.

The AI Search add-on documentation explicitly says one check is one prompt on one AI platform. Its example uses five checks to run a question on all five supported engines. It also labels the add-on packages 200, 450 or 1,000 checks per month, priced at an additional $89, $179 or $345 per month; annual equivalents are $71.20, $143.20 or $276. That monthly check wording conflicts with the main pricing page's daily prompt wording. These are two vendor sources, so get your proposed engine-by-engine schedule confirmed in writing before budgeting the capacity.

The add-on also includes access to SE Visible, a separate strategic AI visibility product. Its own prompt-counting rules should not be imported into AI Results Tracker. An operator can otherwise assume a generous allowance from one product's documentation while configuring the other. The $89 add-on is also not a standalone replacement for the $129 Core subscription.

For a small agency, Growth's three manager seats and broader classic SEO scope can justify the $279 tier if the staff genuinely use those features. Extra manager seats are advertised from $16, but confirm the billing period and final checkout price before deriving a larger-team total. A founder who only needs a small four-engine citation sample has a clearer entry purchase with Otterly; a brand team wanting a 50-question shared sample can compare Peec without first resolving this quota conflict.

5. OmniSEO: best when source context matters more than the entry price

OmniSEO is an AI visibility platform that combines monitored prompts, brand mentions and citation context; Essentials costs $89 a month for 50 saved prompts. It suits a brand whose immediate priorities are ChatGPT, Perplexity and Google AI Overviews, with AI Mode also included. The four-engine requirement changes the verdict because Gemini is absent from Essentials and starts at Professional, which costs $349 a month. Choose OmniSEO for the source context and wider paid model set you need, not under the assumption that its $89 plan covers every engine in this comparison.

Best for: A brand needing prompt-level source context, with the budget for Professional when Gemini is required.
Standout: The cited page, triggering query, answer context and co-appearing competitors.
Pricing: Essentials $89/month; Professional $349/month; Enterprise from $899/month.
Free trial: Seven days without a card, limited to ChatGPT and AI Overviews.

Essentials includes 50 saved prompts, five competitors and five seats. Professional includes 100 saved prompts, five competitors and ten seats. Enterprise starts at 500-plus saved prompts, ten-plus channels and unlimited seats, with customized multi-brand needs. For annual upfront billing, Essentials costs $890 a year and Professional $3,490 a year, equivalent to $74.17 or $290.83 a month when divided by 12. The first-month offers of $45 or $175 are acquisition discounts, not the recurring price to use in a budget.

Professional's ten listed channels are AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Claude, Meta AI, Grok and DeepSeek. More channels are helpful only if they correspond to the audience or markets you need to observe. A marketing lead tracking a core English-language software category may value the four requested engines more than the six additional channels, which makes the $349 threshold a deliberate purchasing decision.

The source context is the product's practical appeal. A brand can inspect the page associated with a citation, the question that triggered it and the other companies appearing in the answer. That gives a content lead something specific to assess: whether the source is an owned guide, an outdated directory listing or a competitor comparison. It also helps avoid reporting an external article that mentions the brand as an owned website citation.

OmniSEO's own citation language can be broader than the linked-owned-page definition used here. Require the actual source URL before counting an answer toward owned citation rate. A favorable “citation” count without that classification is insufficient for a traffic-oriented report. Keep its brand mentions as a separate awareness measure.

Export requirements can move the purchase as much as engine coverage. Essentials does not include exports; Professional offers CSV and PDF with a 5,000-row monthly limit; Enterprise adds JSON. The entry trial tests only ChatGPT and AI Overviews, so it cannot by itself verify Gemini or the full Professional engine set. The public pricing page also does not assign an exact daily-versus-weekly monitoring cadence to the named plans. Confirm collection frequency and separated brand workspaces if your reporting depends on them.

Saved prompts and ad-hoc query-volume lookups are separate allowances. The latter are 50, 200 and 2,000-plus by tier; those numbers should not replace the monitored 50, 100 and 500-plus prompt figures in a comparison. The OmniSEO review provides the wider agency buying context; the current engine, fee and export boundaries above determine the four-engine recommendation.

6. Opttab: best for a combined workflow with carefully selected engines

Opttab combines AI visibility tracking, source analysis and content-related tools, starting at $29 a month for Lite. A small brand team can use Lite for 30 questions on ChatGPT and Gemini, but only on a weekly or monthly schedule. Starter costs $99 and adds daily tracking, more engines and two workspaces. The reason it sits below the confirmed four-engine options is that its product page names Google AI Overviews while the paid pricing matrix names AI Mode instead; an AI Overviews demonstration and plan confirmation are necessary before buying it for four-engine monitoring.

Best for: A small team that wants visibility analysis and content work together, with a selected engine mix.
Standout: Brand, competitor and cited-source analysis alongside AI crawler and website analytics.
Pricing: Lite $29/month; Starter $99/month; Growth $499/month; Enterprise custom.
Free trial: Seven days on Starter and Growth.

Lite includes 30 prompts, 6,000 responses, one workspace and only ChatGPT/Gemini with weekly or monthly tracking. Starter includes 150 prompts, 24,000 responses and two workspaces, with daily, weekly or monthly schedules. Growth offers 450 prompts, 48,000 responses and five workspaces. Enterprise uses custom prompt and response limits, with ten-plus workspaces advertised. All plans allow unlimited users, while prompt and response limits are shared across workspaces.

Annual billing displays $25, $84 and $415 per month for Lite, Starter and Growth respectively. The content generation allowances are two items a month on Lite, ten on Starter and 40 on Growth. A founder should assign those allowances a budget value only if the team will use the content workflow; they do not increase how often an engine cites the brand.

Starter's eight named models are ChatGPT, Gemini, Perplexity, Claude, Google AI Mode, Grok, DeepSeek and Mistral. Growth adds Copilot and Meta AI for ten. The AI visibility product page also discusses AI Overviews, but that engine is absent from the plan matrix. Do not silently substitute AI Mode for AI Overviews, and do not assume that a model-count headline settles which surface is available.

The response ceiling is just as consequential. Opttab defines a response as a result from one model. Tracking all 150 Starter prompts on all eight models daily for a 30-day month would require 36,000 responses, above the 24,000 allowance. Under that simplified schedule, 100 prompts on eight models use 24,000 responses; 150 on three models use 13,500. A headline offering both 150 prompts and eight models does not mean you can continuously run the full combination at daily frequency.

On Growth, 450 prompts across ten models daily over the same 30 days would require 135,000 responses, again above the advertised 48,000 ceiling. Choose the actual questions and engines first, then ask how the tool schedules them within the response cap. Multiple workspaces can separate brands, but they do not multiply the account's monthly allowance.

The advertised measurement includes mentions, sentiment, competitor comparisons and source pages, with crawler and website analytics adding a different type of evidence. A source cited in an answer, an AI crawler fetching a page and a visitor arriving at the website are distinct events. A marketer benefits from seeing them together only if the report preserves those distinctions. Do not count crawler activity as referral traffic or an unlinked brand mention as a visit.

Opttab can be a reasonable choice for a founder who wants weekly ChatGPT/Gemini observations at $29, or a team whose selected models and content work fit Starter. If daily AI Overviews coverage is an essential acceptance criterion, Peec, Otterly and Ahrefs have clearer documented purchase paths in this comparison. The buying rule is coverage first, followed by response-budget fit, then the value of the combined workflow.

7. Semrush AI Visibility Toolkit: best for an existing Semrush process

Semrush AI Visibility Toolkit, the current public name of Semrush AI Toolkit, costs $99 a month for one Brand Performance domain and 25 custom prompts. It is most compelling when the marketer already uses Semrush and needs AI evidence alongside that established reporting process. The limitation is that database coverage and custom prompt coverage differ: Perplexity appearing in a report does not establish that the toolkit runs your chosen questions on Perplexity. Treat it as a workflow purchase whose campaign engines need verification, rather than a confirmed all-four-engine tracker at $99.

Best for: An existing Semrush user connecting AI brand analysis to ongoing SEO work.
Standout: Separate market datasets, Brand Performance reports and custom Prompt Tracking.
Pricing: Toolkit $99/month; an additional 50 prompts costs $60/month; extra Brand Performance domain or location $99/month.
Free trial: No free trial for the standalone toolkit.

The 25 custom prompts are separate from the domain's wider Brand Performance analysis. Adding 50 prompts produces 75 for $159 a month. The toolkit includes ten CSV exports a day. An extra Brand Performance domain or location costs another $99 monthly, so an SEO project's existence elsewhere in the account should not be treated as included AI brand analysis for that domain.

Team seats change the calculation. Semrush states that each corporate subuser needs a separate $99 toolkit license. Two such users cost $198 a month; four cost $396 before other additions. Confirm where prompt purchases and domain permissions sit in your particular account rather than assuming the team's licenses pool every allowance. Peec and Otterly's unlimited-user plans can be a better budget fit when several marketers need a shared small question set.

The custom Prompt Tracking setup documentation names ChatGPT Search, Google AI Mode and Gemini, with daily tracking, stored answers, mentions and cited domains or URLs. The AI visibility data overview also lists AI Overviews for Prompt Tracking, which does not match the dedicated setup document. Perplexity appears in weekly Brand Performance reporting, rather than in that custom setup list. Confirm the available campaign controls in the account you will buy; these documents do not establish a complete custom-prompt set across all four engines.

That distinction changes how a report should be described internally. “Semrush sees our brand in its Perplexity dataset” and “Semrush runs our category prompts on Perplexity every day” are different claims. A broad database can reveal competitive patterns without giving you the same controlled sample you chose for a campaign. Compare the custom question set with another tool only when engines, location and schedule match.

The AI Visibility Score describes mention coverage and consistency across topics. It is not an owned-page citation rate, a traffic figure or a probability of becoming a customer. A demand marketer can use the score to investigate topic gaps, then open answer snapshots and source URLs to determine whether the brand's website has a linked presence. Keep the executive report anchored to that evidence.

Semrush One is the larger bundled alternative: Starter is $199 a month with 50 prompts, Pro+ $299 with 100, and Advanced $549 with 200. The annual monthly equivalents are $165.17, $248.17 and $455.67, as shown on the current bundle pricing page. Those SEO bundles have their own project allowances; a higher classic SEO project count is not automatically a matching number of Brand Performance domains. An add-on bought within an annual account can align and prorate to that account's term, so the $99 toolkit figure should not be described as universally annual-only.

8. Profound: best for agency pitches and enterprise brand procurement

Profound is an AI visibility platform with different current pricing paths for brands and agencies: paid Brand Enterprise is custom, while Agency Growth starts at $99 a month plus add-ons. The agency base buys prospect pitch capacity, not an included ongoing client workspace. A single continuing client adds $399 a month, making that configuration $498 before other additions. Choose it when agency prospecting or enterprise requirements justify that packaging; a founder seeking an inexpensive four-engine brand tracker should start elsewhere.

Best for: An agency that values prospect audits, or a brand negotiating enterprise tracking and governance.
Standout: Distinct pitch and ongoing client workspaces, with a tailored enterprise option.
Pricing: Agency Growth $99/month plus $399/month per full client workspace; Agency Enterprise and Brand Enterprise custom.
Free trial: Brand Trial: seven days, 50 recommended prompts, with restricted customization and reporting.

The current brand page offers that free trial and Brand Enterprise. The trial runs recommended prompts daily on ChatGPT, Gemini and AI Overviews, with unlimited seats. It does not let you edit the recommended prompts and does not provide the paid exports, historical reporting or API. Perplexity is absent from this trial set, so it cannot demonstrate the entire four-engine buying brief. Older Starter and Growth brand prices should not be copied into a current budget: they are not the current brand tiers on the pricing page.

Brand Enterprise offers tailored daily tracking, unlimited seats, CSV/JSON exports, API access and single sign-on, with a possible nine-engine set including ChatGPT, Perplexity, AI Mode, Gemini, Copilot, DeepSeek, Claude, AI Overviews and Exa Search. Ask for the specific four-engine configuration, prompt count, markets and history you intend to buy. “Custom” gives no basis for inventing a monthly entry price, and an agency fee should not stand in for a brand Enterprise quote.

Agency Growth includes ten pitch workspaces per month, with 25 prompts each and daily tracking on ChatGPT, Perplexity and AI Overviews. A pitch workspace lasts seven days, with an option to extend, and the agency plan includes five agency seats. This is a credible fit for an agency demonstrating a prospect's source gaps before winning the account. It is a different job from keeping every signed client's market under continuous observation.

Full client workspaces cost an additional $399 per month each, with 100 prompts and those same three engines. They include 400 agent credits per month and CSV/JSON exports; the Growth agency tier does not include API access. A purchase of five extra pitch workspaces costs another $199 a month. Three ongoing client workspaces therefore produce a $1,296 monthly bill: $99 plus three times $399. That arithmetic is a pricing scenario, not evidence of agency margins or client revenue.

Gemini is not listed in Agency Growth's three-engine coverage. If all four engines are mandatory for continuing clients, require an Enterprise configuration rather than presenting $498 as the complete solution. The resulting quote might be justified by governance, reporting or tailored data requirements, but the justification needs to come from the actual contracted scope.

Profound documents citations, sentiment, ranking and competitive presence. These support an agency's explanation of where a brand appears and which sources influence the answer. The workflow earns its budget when a prospecting team repeatedly uses the pitch capacity and signed clients need the ongoing reporting; it is much harder to justify for a founder who only wants to know whether a small question set links the brand's site.

AI visibility tracking tools: compare the workload before the price

Normalize the question set before comparing subscriptions. A “prompt” can mean a saved question monitored across selected models, a question assigned to one engine, or an execution consuming a check. A “workspace” can separate brands without adding usage. Those differences determine whether the plan survives your schedule.

For tools priced per execution, the useful planning equation is:

Unique questions × engines × runs during the billing period × locations = checks or responses, subject to the vendor's exact counting rules.

An illustrative workload of 50 questions, four engines, 30 daily runs and one location produces 6,000 checks. Doubling the locations would increase consumption if the vendor charges separately for location. A package quoting 50 saved questions can still be enough under a different counting rule, so do not apply Ahrefs' execution unit to every other vendor.

For this stated workload, Ahrefs Growth costs $100 and Basic with overage costs $120. Peec Starter with the fourth engine costs $130 on monthly billing. Otterly Lite is cheaper at $38 but cannot hold the 50-question sample; its Standard-plus-Gemini plan is $248 with a larger 100-question allowance. OmniSEO's Gemini requirement takes the purchase to $349. These calculations compare documented package boundaries, not measured answer quality or an assertion that the products' samples are identical.

Opttab Starter's 150 prompts must also fit 24,000 responses. SE Ranking's daily-versus-monthly labels require confirmation before applying this equation to its advertised allowance. Semrush's broad engine dataset must not be substituted for custom prompt coverage. Profound's agency pitch capacity must not be substituted for an ongoing client allowance. The honest answer to an undocumented capability is “confirm this before purchase,” not a fabricated normalized price.

AI brand visibility tools: choose by team size

Team size matters when people need access, but the work they share matters more. A founder and marketer reviewing one brand do not need the same subscription as an agency maintaining separate client histories. Choose the least costly documented setup that preserves the sample and evidence required for that work.

A solo founder or very small brand team: Start with Otterly.AI Lite plus Gemini at $38 a month if 15 buyer questions cover your category. Its unlimited users let the founder bring in a marketer without a seat calculation. Move to a larger allowance when actual customer questions cannot fit, not merely because a broader model list looks more impressive. Opttab Lite is a reasonable $29 alternative for weekly or monthly ChatGPT/Gemini observation, but it does not fulfill daily monitoring on all four engines.

A shared marketing team: Peec Starter plus a fourth model at $130 gives 50 daily questions and unlimited users for one brand project. That is a straightforward purchase when content, demand generation and leadership all need the same view. Ahrefs Growth at $100 is attractive if someone will maintain the explicit 6,000-check workload and you prefer its measurement approach. The decision flips toward Peec when a standing question allowance and shared brand workflow matter more than optimizing per-execution cost.

Best AI search visibility tools for a team already paying for SEO

SE Ranking is attractive when a named operator will use rank tracking, competitor research and audits alongside the AI evidence, provided the vendor resolves the allowance conflict for your schedule. Semrush can fit an existing reporting process when its actual campaign engines match your requirement. Existing familiarity has value because someone must review and act on the data, but it does not supply an undocumented engine or an extra toolkit license.

A four-user Semrush toolkit scenario costs $396 monthly before extras. That should be evaluated against how many people need direct product access and whether the reports can meet the team's workflow. Do not compare it with a flat unlimited-user plan as if both were $99 for a team. Equally, do not add another full SEO suite solely to get a tiny AI sample if the current suite already handles your search work.

A multi-brand agency: Otterly Standard and Premium provide unlimited workspaces, with prompts allocated to the work you buy. Opttab has two or five workspaces on Starter or Growth, but shared response limits and unconfirmed AI Overviews need attention. Profound Agency Growth makes sense when the agency repeatedly uses its ten monthly pitch workspaces; one full client brings it to $498, and three to $1,296, with Gemini still outside the Growth set. Ask about client access, exports and ownership of the history before pricing an account as a reusable agency package.

A brand with procurement and governance requirements: Seek an enterprise quote for the specific engines, countries, history, exports, API and access controls you need. Profound, Peec, OmniSEO, Otterly and SE Ranking all have custom enterprise paths. The decision should turn on a demonstrated requirement and contracted scope, rather than assuming a sales-led plan finds more citations merely because it costs more.

The ones to avoid

Avoid these plans for the stated job, rather than dismissing products that can be useful elsewhere. A named mismatch is a better buying rule than a universal winner.

• OmniSEO Essentials for a mandatory Gemini brief: Its $89 price does not include Gemini. The relevant purchase is Professional at $349.
• Opttab Lite for daily four-engine monitoring: It covers two engines on weekly or monthly schedules. Starter expands the set and cadence, but AI Overviews still needs plan-level proof.
• Profound's $99 agency base for ongoing brand monitoring: It funds pitches; ongoing client workspaces cost extra, and Agency Growth omits Gemini.
• Semrush based only on a broad engine list: Perplexity in Brand Performance is not documented custom Perplexity tracking. The AI Overviews documentation also needs campaign confirmation.
• SE Ranking before resolving its quota labels: The engine list is clear, but the published daily-prompt and monthly-check descriptions should not be turned into an assumed cross-engine capacity.
• Any report that treats mentions as owned-site reach: Require the answer and source URL, classify the destination, and keep mention share separate from owned citation rate.

Also avoid buying monitoring as a guarantee that the next content update will earn a citation. These products observe answers. None can force ChatGPT, Perplexity, Gemini or Google AI Overviews to cite your page, and a citation alone cannot prove commercial return.

Turn an AI visibility audit into a weekly decision

A tracker earns its subscription when it changes a specific marketing decision. For a software founder, that might be which comparison page to improve. For a local-services marketer, it might be which inaccurate directory listing is influencing an answer. For an agency, it might be whether the client report can identify a cited source rather than repeat an unexplained score.

Start with buyer questions grounded in sales calls, support conversations or category research. Separate non-branded discovery questions from questions explicitly naming your business; a brand appearing after you name it is not the same finding as being recommended when you ask for suitable providers. Keep the wording, engines and market stable long enough to compare repeated observations.

Record the answer, engine, collection date, brand mention and source URL. Classify sources as owned, third-party or absent. Compare competitors under the same sample, then identify a page or distribution task the content owner can complete. The cross-engine citation tracking stack gives more context for preserving answer and source evidence when observations disagree across engines.

Use the website's own analytics to assess visits and outcomes after source changes. Referral traffic, crawler activity and monitored answer citations belong in separate lines of the report. A citation can be useful evidence even when the referrer is missing, but it should not be used to invent a visit or a sale. A stable mention rate alongside a rising owned citation rate may be more relevant to acquisition than a large undifferentiated visibility score.

The weekly deliverable should fit a decision meeting: which monitored questions changed, which owned pages gained or lost citations, which external sources mattered and what action follows. Keep an eye on prompt-set changes, because expanding branded questions can improve a headline mention rate without improving discovery. If nobody can identify the next action from the report, reduce the sample or reconsider the subscription before purchasing more capacity.

AI visibility tools free: start with a manual baseline

A small manual check can establish whether tracking is worth paying for. Run a consistent set of buying questions on the engines your customers use, save dated answers and source URLs, then repeat the check under the same conditions. Ahrefs offers a free visibility preview; Profound's brand trial provides a restricted seven-day sample. Those help with evaluation, but neither should be presented as a complete free ongoing custom tracker across all four engines.

The cost of manual work is the attention needed to collect and review evidence consistently. Pay for a tracker when keeping that record becomes a recurring task worth automating, or when several people need a shared history. The broader AI SEO tools comparison covers adjacent research and content tools; an editor or optimizer should follow a diagnosed source gap, rather than replace the measurement that identified it.

Questions founders ask

What are the best tools to track brand visibility in AI answers?

For monitoring across the four engines, start with Otterly.AI Lite plus Gemini at $38 a month for 15 daily prompts. Peec AI Starter plus a fourth model is $130 for 50, with unlimited users. Ahrefs Brand Radar Growth is $100 for 7,000 checks, enough for the illustrative 50-question, four-engine, 30-day, one-location workload. Larger SEO, agency or governance requirements can change the choice; require linked source evidence alongside brand mentions.

How to increase brand visibility in AI?

Use repeated buyer questions and the actual cited URLs to identify where your brand is missing or misrepresented. Improve the relevant owned page, resolve inaccurate external listings and create sourceable answers to substantive buying questions, then compare repeated observations. A tracker measures the result of that work; it cannot guarantee a mention, citation, visit or sale.

Which AI tool is best for branding?

If branding means measuring your presence in AI answers, Otterly.AI is the economical narrow-sample option and Peec AI is a practical shared-team option. Neither creates a brand identity. For the measurement decision, prioritize the engine set, retained buyer questions and owned-page source evidence over a generic branding label or visibility score.

Use the free AI Business Workflow Audit Checklist to assign an owner, decide what the report should change and set the budget before adding another subscription. Get the checklist through the newsletter.