Otterly AI Pricing 2026: $29, $189 or $489 a Month

How much Otterly AI costs in 2026

Three of the four plans have listed prices; Enterprise is priced by quote and starts at 1,000 prompts. How we checked: every Otterly figure on this page comes from otterly.ai/pricing, read on October 1, 2026. Annual prices are the monthly equivalent of a yearly bill, 14 to 15% below the monthly prices (the page’s billing switch says 15% off).

Every plan tracks ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot daily, with unlimited team members. Claude, Google AI Mode and Gemini are add-ons, and Grok is not on Otterly’s list. Lite includes 3 recommendations a week; Standard and Premium include unlimited recommendations and a Looker Studio connector, and Enterprise adds SSO, custom terms and a dedicated customer success manager.

What Otterly AI costs with every engine added

With Claude, Google AI Mode and Gemini added, each plan tracks seven engines: the four it includes and the three add-ons. The engine add-ons are fixed packages for up to 1,000 prompts and can also be billed annually; Lite cannot add prompts, and Standard can add up to 300 before Otterly moves you to Premium.

What the same budget buys on Cituna

The two sets of seven differ by one engine: Otterly’s include Microsoft Copilot, and Cituna’s include Grok. Per tracked prompt across seven engines, Cituna costs less at the entry and middle tiers ($3.90 and $3.97 a month, against $5.07 and $4.16 on Otterly), and Otterly costs less at the top (about $3.07 on Premium, against $4.43 on Cituna Max). Otterly also gives more prompts in every tier and unlimited team members, while every Cituna plan includes Google Search Console, a generated fix for each gap (schema, FAQ markup, llms.txt and page changes), 30, 90 or 300 AutoSEO articles a month, and API and MCP read access, with MCP write tools from Pro at $119. Cituna’s plans include 1, 5 or 15 seats and 1, 3 or 10 brands.

Picks by need:

• All seven engines on every plan, Grok included, with the fix generated for each gap: Cituna, from $39 a month.
• Microsoft Copilot in the plan: Otterly AI, from $29 a month; Copilot is not among Cituna’s seven engines.
• A large prompt set on four engines: Otterly AI Standard, 100 prompts for $189 a month, or Premium, 400 for $489.
• A login for everyone, across many workspaces: Otterly AI Standard or Premium, with unlimited team members and workspaces.

See Cituna’s plans and start a 3-day free trial to put your own buyer questions to all seven engines and get the fix for each gap; the trial asks for a card, and you can cancel anytime. For the feature-by-feature view, see Cituna vs Otterly AI, and for entry prices across the category, see what AI visibility tools cost.

What actually drives the Otterly AI price

Beyond the plan fee, three things move the Otterly AI price: extra prompts, at $99 a month for each 100 on Standard and Premium; the Claude, Google AI Mode and Gemini add-ons, priced by plan; and API or MCP access, which starts on Standard. Every listed plan includes unlimited brand reports and multi-country tracking, so ask how the price changes with data history, reporting and integrations, and what Enterprise adds.

Prompt volume is usually the most important operational question because every additional buyer question creates another observation to collect, store and review. Engine coverage also matters. A platform may price ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and Google AI Mode differently, or place limits around which answers can be monitored.

Ask whether a prompt means one exact query, a prompt group, or a set of variants. Clarify whether branded and nonbranded questions count separately, and whether competitor prompts use the same allowance. Also ask whether refresh frequency changes the price. A daily answer check and a less frequent check can produce different costs and different levels of confidence.

For Enterprise, request the quote in writing with each pricing variable separated. On the listed plans, a low starting price grows with extra prompts and the Claude, Google AI Mode and Gemini add-ons, not with markets or team members, which every plan includes.

For more context, read How to Compare AI Visibility Measurement Before Buying.

How many prompts your first plan should cover

Your first plan should cover the questions that influence buying decisions, not every possible way a prospect might describe the category. Start by grouping prompts by use case, such as problem discovery, product comparison, implementation, pricing and alternatives.

Count the questions within each group and include important variations in geography, audience and product type. Then separate prompts you will act on from prompts you are merely curious about. The first group is the right basis for a firm quote because it connects monitoring cost to a decision your team will make.

Ask Otterly whether unused prompt capacity rolls over, whether prompt changes are limited, and whether one prompt can be tracked across all available engines. Confirm how often each prompt is checked and how the service handles temporary engine responses or missing answers.

Cituna’s entry plan covers 10 tracked prompts for $39 a month, with all seven supported engines included rather than priced as separate engine add-ons. Those engines are ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and Google AI Mode. This gives a small team a concrete baseline for comparing prompt coverage, even when another vendor uses different units.

For more context, read How to Report AI Visibility Changes to Executives.

Which engine coverage to pay for

Pay for coverage of the engines your buyers use and the answers your team can change, but do not assume that a platform’s engine count means equal coverage everywhere. Ask whether ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and Google AI Mode are all included, and whether any engine requires a higher tier.

Clarify whether the platform measures mentions, citations, linked pages, answer position or only a general visibility score. These are different outputs. A brand can be named without receiving a source link, or a cited page can appear without the brand being named prominently.

Ask how regional, logged-in or personalised results are handled. Also confirm whether engine additions are included automatically or treated as paid upgrades. Engine behaviour and product rules change, so a current pricing page may not describe how coverage will work after a model or search experience changes. OpenAI, Perplexity and Google publish documentation that can help explain their respective products, but vendor monitoring methods still need to be confirmed directly.

Cituna includes all seven engines on every plan and does not charge per-engine add-on fees. It does not track Microsoft Copilot.

Does historical data change the buying decision?

Historical data matters when you need to distinguish a real visibility change from normal variation, but it should not be purchased before you know what decision the history will support. Ask how far back data goes, whether history begins at signup, and whether older observations can be imported.

A useful question for Otterly is whether historical records are retained when you downgrade, pause or change tracked prompts. Ask whether deleted prompts disappear from reports and whether exports preserve dates, engine names, answers, citations and cited URLs. Those details determine whether the data can support a quarterly review, a site migration investigation or a before-and-after comparison.

Also ask whether the quoted price includes historical access or charges for additional retention. A platform can appear affordable while making the historical record difficult to use outside its dashboard. Confirm whether multiple brands or domains share one history allowance.

The right decision rule is simple: pay for history when a future decision depends on a baseline you cannot recreate. If your team is choosing its first set of fixes, prompt and engine coverage may matter more than a large archive. Recheck retention terms before signing because product policies can change.

Which users, reports and integrations are included

The practical cost of an AI visibility platform includes the work needed to turn its data into action, so ask about users, reports, exports and integrations before accepting a monthly price. A low subscription can be a poor fit if only one person can review results or if the team must copy findings manually.

Otterly includes unlimited team members on every plan, so ask instead whether viewers and editors are treated differently and whether clients or agencies need their own workspaces, which Lite limits to one. Confirm whether scheduled reports, downloadable data, alerts and competitor comparisons are available at the quoted tier. Ask whether reports can be filtered by prompt group, engine, market and cited page.

Clarify integration limits as well. On Otterly, API and MCP access start on Standard at $189 a month with 2,000 requests of each a month, or 5,000 on Premium; Lite has neither, and the pricing page lists a Looker Studio connector but no Google Search Console integration. Ask whether these capabilities have usage limits or separate charges.

Cituna asks the seven engines your buyers’ questions every day and joins the answers to Google Search Console data. It also does the work: it generates the fix for each gap, its AutoSEO writes articles and publishes them to WordPress, Shopify, a GitHub repo or any CMS by webhook, and Claude or any other AI agent can work with the data over MCP. On Cituna, Search Console is built into every plan, API and MCP read access start on the $39 plan, and MCP write tools start on Pro at $119. Request the same level of detail from Otterly.

When is a cheaper plan more expensive in practice?

A cheaper plan becomes more expensive in practice when it forces your team to remove important prompts, engines, users or evidence needed to decide what to change. Compare the total workflow, not only the subscription line.

For example, a marketing lead may monitor a narrow set of branded questions at a low price, then discover that nonbranded category questions require an upgrade. Another team may have enough prompt capacity but lack exports or an API, creating manual reporting work each week. Neither outcome is visible from the starting fee alone.

Ask for two scenarios in the quote: the smallest useful setup and the setup you expect to need after the first successful review. Include the number of prompts, engines, markets, users, report recipients, retention period and integrations in both scenarios. Ask what happens if you exceed a limit during a billing period.

Cituna’s published options are $39, $119 and $399 a month. The plans cover 10, 30 and 90 tracked prompts, all seven engines are included on every plan, and the higher tiers add brands, seats, AutoSEO articles and MCP write tools. Compare those boundaries with your actual workflow rather than treating the lowest monthly price as the winner.

Where Cituna fits beside Otterly AI

Cituna fits teams that want seven-engine monitoring, Google Search Console context, a generated fix for each gap and AutoSEO articles written and published from those gaps in one workflow, from $39 a month, while Otterly fits a team that needs Microsoft Copilot or unlimited team members, from $29 a month, or a large prompt set on four engines, from $189 a month for 100 prompts.

Cituna tracks whether ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and Google AI Mode mention and cite a brand for buyer questions every day. It also shows which competitors and pages those engines cite instead. Every engine is included on every Cituna plan, with no per-engine add-on fees.

Ask Otterly for the same facts in the same format: prompt allowance, engine list, refresh schedule, history, seats, exports, integrations and overage terms. Choose Cituna if seven engines checked every day, Grok included, Search Console context and a generated fix for each gap match the decisions your team needs to make. Choose Otterly if Microsoft Copilot coverage or a larger prompt allowance on four engines matters more.

What to ask for in a firm price

Otterly’s Lite, Standard and Premium prices are fixed, so a firm quote matters for Enterprise, which starts at 1,000 prompts, and for engine add-ons above 1,000 prompts; it needs a written scope that defines prompts, engines, users, markets, retention, reporting and integrations. A request for the monthly fee alone leaves too many variables unresolved.

Send the vendor a short brief containing the number of brands and domains, the buyer questions you want tracked, the countries or languages involved, the people who need access, the reports you need and the systems you want connected. Ask the vendor to state what is included, what is capped and what triggers an upgrade.

Request answers to these questions: Does each prompt run across every selected engine? How often are answers collected? Are citations and cited URLs retained? Are competitors counted separately? Are seats, exports, scheduled reports and API calls included? What happens to data after cancellation? Can prompts be changed without changing the price? Are taxes, setup fees or overages possible?

Ask for a quote validity period because pricing, engine access and product limits can change. Then ask the vendor to show the price for both your launch scope and your likely next scope. That comparison reveals whether the first plan is a sensible test or only an entry point.

The verdict: for all seven engines on every plan, Grok included, with a generated fix for each gap and AutoSEO articles, choose Cituna, from $39 a month; for Microsoft Copilot, choose Otterly AI, from $29 a month, and for a large prompt set on four engines, Otterly AI Standard, 100 prompts for $189 a month. Our short answer to whether Otterly.ai is worth it covers who it suits. See Cituna’s plans and start a 3-day free trial to run your own buyer questions through Cituna; the trial asks for a card, and you can cancel anytime.

Related reading

• Otterly AI Alternatives: What to Measure and Change First
• Peec AI Pricing 2026: $95, $245 or $495 a Month
• AthenaHQ Pricing: What Drives the Cost

Sources consulted

• Otterly AI pricing (otterly.ai), read October 1, 2026
• Cituna pricing (cituna.com), read October 1, 2026
• OpenAI platform documentation (platform.openai.com)
• Perplexity documentation (docs.perplexity.ai)
• Google Search documentation (developers.google.com)
• Google Search support (support.google.com)

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Drafted with AI assistance from our own research and Search Console data, and reviewed by Rahul A before publishing. Rules and prices change; check the linked official source before you act.