What actually drives an Otterly AI pricing quote?
Otterly AI pricing depends on the amount and breadth of monitoring you need, rather than on a single universal requirement. Ask how the quote changes with tracked prompts, brands, markets, users, competitors, historical data, reporting and integrations.
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.
Request the quote in writing with each pricing variable separated. That makes it easier to identify whether a low starting price becomes expensive after adding markets, users or prompt coverage.
For more context, read How To Compare Ai Visibility Measurement Before Buying.
How many prompts should your first plan 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 should you 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. Cituna does not track Microsoft Copilot, so teams that require Copilot coverage should treat that as a separate evaluation question.
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.
Ask Otterly how many seats are included, whether viewers and editors are treated differently, and whether clients or agencies need separate access. 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. Find out whether Google Search Console data can be connected, whether an API is available, and whether access to an MCP server is included or restricted to a higher plan. Ask whether these capabilities have usage limits or separate charges.
Cituna joins answers from its seven tracked engines to Google Search Console data and provides SEO, AEO and GEO fixes. Search Console and an MCP server are included from Cituna’s entry plan, while the API is on Max. These are concrete comparison points, but they do not establish that another vendor lacks equivalent capabilities. 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 $39 plan covers 10 tracked prompts, all seven engines are included on every plan, and higher-tier capabilities include the API on Max. Compare those boundaries with your actual workflow rather than treating the lowest monthly price as the winner.
Where does Cituna fit beside Otterly AI?
Cituna fits teams that want seven-engine monitoring, Google Search Console context and recommended SEO, AEO and GEO fixes in one workflow, while Otterly may suit a team whose required prompt, reporting and integration model matches its quote. The honest choice depends on the work you need to do after an answer is collected.
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. Cituna does not track Microsoft Copilot.
Cituna’s plans are $39, $119 and $399 a month. The entry plan covers 10 tracked prompts, includes Google Search Console and an MCP server, and the API is on Max. Those facts make Cituna easier to assess when seven-engine coverage and connected search data are central requirements.
Ask Otterly for the same facts in the same format: prompt allowance, engine list, refresh schedule, history, seats, exports, integrations and overage terms. Choose Otterly if its coverage and workflow fit better. Choose Cituna if its stated seven-engine scope and included context match the decisions your team needs to make.
What should you ask for in a firm price?
A firm Otterly AI price requires 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.
Related reading
Sources consulted
- OpenAI platform documentation (platform.openai.com)
- Perplexity documentation (docs.perplexity.ai)
- Google Search documentation (developers.google.com)
- Google Search support (support.google.com)
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.