Otterly.AI and Evertune sit at opposite ends of how you buy AI visibility tracking. Otterly.AI publishes self-serve plans from $29 to $489 a month with a no-card trial, while Evertune lists Pro at $800 a month with 100,000 tracked prompts behind a demo request. DeepSmith is a strong alternative for teams that want volume with output attached: published plans that each include tracked prompts and a fixed monthly article allowance, articles that publish straight to your CMS, and a 7-day free trial instead of a sales call.
If you are weighing Otterly.AI vs Evertune for a large prompt set, the question is less about features than about what heavy volume costs and how you get to buy it. Otterly.AI scales through published tiers you can start on today. Evertune puts a big tracked-prompt allowance on one listed plan and asks you to book a demo first. DeepSmith sits next to both as a platform that tracks AI answers and writes the content that responds to them.
Otterly.AI vs Evertune: the short answer
- Choose DeepSmith if you want tracking and finished articles on one self-serve plan: Pro is $99 a month with 50 tracked prompts and 20 articles, and the articles publish to WordPress, Webflow, Strapi, Sanity or Contentful.
- Choose Otterly.AI if you want the lowest published entry price and monitoring-led tracking: Lite is $29 a month, Standard is $189 with 100 prompts, and the trial needs no card.
- Choose Evertune if you need a very large tracked-prompt set with repeated sampling and you are fine with a demo-led purchase: Pro is $800 a month with 100,000 prompts.
| Criterion | DeepSmith | Otterly.AI | Evertune |
|---|---|---|---|
| Entry price (monthly) | $99/mo (Pro) | $29/mo (Lite) | $800/mo (Pro) |
| Annual price (per month) | $80/mo | $25/mo | Not listed |
| Prompts at entry tier | 50 | 15 | 100,000 |
| Engines at entry tier | ChatGPT | 4 (ChatGPT, Google AI Overviews, Perplexity, Copilot) | 11 AI models |
| Most engines on any plan | 10 (Enterprise) | 7 (3 as paid add-ons) | 11 (3 base-model only) |
| Free trial | 7 days | 7 days, no card | None, demo request |
| Citation tracking | Yes | Yes | Yes |
| Content generation | Yes | Not listed | Yes, 25 articles/mo on Pro |
| CMS publishing | Yes | Not listed | No |
| Brand-context grounding | Yes | Not listed | Yes |
| Public API | Yes, read-only | Yes, Standard and above | Not listed |
| MCP server | Yes, read-only | Yes, Standard and above | Not listed |
| Security certifications | SOC 2, GDPR and ISO certified | Not listed | No SOC 2 report yet |
| G2 rating | 4.8/5 | 4.7/5 and 4.8/5 (two listings) | Not rated |
Pricing and features as of September 2026, from each vendor's site and public reviews.
Otterly.AI
Otterly.AI is a self-serve AI search monitoring tool from Austria-based OtterlyAI GmbH, launched in October 2024. It runs your tracked prompts daily across ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot, and reports mentions, citations, position, sentiment and share of voice against competitors. It is built for small and mid-sized marketing and SEO teams and for agencies, with a sales-led Enterprise plan for larger buyers.
The standout is how openly it prices. Lite is $29 a month, Standard is $189 and Premium is $489, every plan has unlimited seats, and the API, MCP server and Looker Studio connector start on Standard. Around the tracking it adds page audits, ranked recommendations and Agent Analytics for AI crawler traffic.
The real limits are worth knowing before you budget. Only four engines are included, and Google AI Mode, Gemini and Claude are paid add-ons. Lite has just 15 prompts, and the next step up is $189. Otterly.AI does not document article writing or CMS publishing, and its security page cites only the SOC 2 of its AWS host, not a report of its own.
On reviews, G2 shows two Otterly listings at 4.7/5 from 54 reviews and 4.8/5 from 42 reviews, checked in September 2026. Reviewers mostly praise the interface, quick setup and responsive support, and ask for more flexible filters, deeper history and more actionable recommendations.
Evertune
Evertune is a New York based AI search marketing platform, founded in 2024 by early team members of The Trade Desk. It samples each tracked prompt 100 times per model across 11 AI experiences, draws its prompt set from a consumer panel called EverPanel, and then connects the gaps it finds to content, site fixes, affiliate placements and ChatGPT ads. It is aimed at mid-market and enterprise brands, and at the agencies serving them.
The standout is scale and method. Pro lists 100,000 tracked prompts, daily, weekly or monthly, with global country and language tracking, plus 25 AI-optimized articles a month. Evertune says its repeated sampling gives a margin of error of about 1 point overall and 2 at topic level. That figure is the vendor's own, and I'd treat it as a description of the method more than an audited result.
The limits are mostly about buying. Both plans say Request a demo, and there is no free plan or standard trial. The pricing page does not say what counts as one tracked prompt, how many seats or brands Pro includes, or the billing period. Its own comparison page says SOC 2 Type II was in progress as of January 2026, and the advertising modules are still in beta. Independent reviews are thin: G2 showed zero reviews on September 30, 2026.
DeepSmith: the alternative that tracks and publishes on published plans
The gap both tools leave for a team buying at volume is the step after the dashboard. Otterly.AI gives you audits and ranked recommendations, and Evertune gives you briefs and drafts, but neither one documents publishing into your CMS. Evertune does write full articles and follows stored brand guidelines, which is real, and it hands them over as Markdown or HTML to copy in yourself.
DeepSmith closes that gap in one platform. AI Visibility tracks mention rate, citation rate and share of voice across engines and shows which of your pages AI actually cites. Opportunity Agents turn that data into content ideas with the evidence attached, and the Writer turns a planned idea into a finished article grounded in Deep IQ, your stored brand, persona and voice context. Autowrite can run it hands-off on a schedule, and Produced Content publishes straight to WordPress, Webflow, Strapi, Sanity or Contentful, or to your own webhooks.
The terms are also different. DeepSmith's plans are published, with a 7-day free trial, no long-term contracts and no cancellation fees. Pro is $99 a month ($80 billed annually) with 50 tracked prompts and 20 articles. Grow is $199 ($160) with 100 prompts and 40 articles, and Scale is $399 ($299) with 200 prompts and 90 articles. Past 200 prompts, limits are set on Enterprise. So the cost of volume is something you can read off a page, and each tier already includes the articles that act on what the tracking finds.
Pricing and value at volume
Otterly.AI wins on entry cost and on a price you can see at every step up to Premium, and Evertune wins on how many prompts its listed price buys, as long as its unit matches yours. That is the whole story of Otterly.AI vs Evertune cost at scale, and the details decide which side you land on.
Start with Otterly.AI. Lite is $29 a month ($25 annual) for 15 prompts, Standard is $189 ($160) for 100, Premium is $489 ($422) for 400, and Enterprise starts from 1,000 prompts at a custom price. Extra prompts cost $99 per 100 on Standard and Premium, and Standard tops out at 300 extra. So 400 prompts costs about $486 on Standard with three add-ons, or $489 on Premium, which lands in about the same place. Engines are a second bill. Covering all seven engines on Standard adds $227 a month, which brings 100 prompts to $416.
Evertune is simpler on the page and vaguer in the contract. Pro is $800 a month for 100,000 tracked prompts across 11 AI models, with 25 articles. Enterprise is custom. The platform terms also allow per-prompt fees, overages and an Ads Manager fee set as a percentage of ChatGPT ad spend, and the rates sit on order pages rather than the website. Taken at face value, 100,000 prompts for $800 is under a cent per prompt, against $1.89 per prompt on Otterly.AI Standard. Evertune hasn't said whether a prompt means a unique question or each of its 100 samples, so I wouldn't lean on that comparison too hard.
My read is that the crossover depends on how many prompts you really need. At a few hundred, Otterly.AI Premium is cheaper than Evertune Pro by a clear margin. At several thousand or more, Evertune's listed allowance is the only published number that gets there, and a demo is how you find out what it costs in practice. If you are trying to choose between Otterly.AI or Evertune on budget alone, the hard part is that only one of them tells you the price before you talk to anyone.
What DeepSmith does: DeepSmith bundles tracked prompts and a fixed monthly article allowance into each published plan, so the budget covers both the measuring and the producing. A team that would otherwise pay for a tracker and then separately pay writers can see both on one invoice, from $99 a month, and start with a 7-day trial before paying anything.
Engine coverage
Evertune has the broader list and Otterly.AI has the cleaner one. Evertune tracks 11 AI experiences: ChatGPT, ChatGPT Search, Gemini, Gemini Search, Google AI Mode, Google AI Overviews, Meta AI, Claude, Copilot, Perplexity and DeepSeek. Its help center says Claude, Meta AI and DeepSeek are sampled only as base models through APIs, not in their consumer apps, and Perplexity and Copilot are consumer-app only. Grok is not covered.
Otterly.AI covers seven engines, four of them included on every plan and three as paid add-ons, and it does not offer Grok, Meta AI or DeepSeek. Its data comes from consumer-facing AI interfaces, with Claude as the exception through an API with web search, so what you see is closer to what a buyer sees. For a team that mainly cares about ChatGPT, AI Overviews and Perplexity, the included four are enough, and for a team that wants Meta AI or DeepSeek, Evertune is the only one of the two that lists them, with the base-model caveat.
Tracking depth and data method
Evertune has the deeper method on paper. Each prompt is asked 100 times per model, which matters because AI answers vary from run to run, and a single daily sample can move around for reasons that have nothing to do with your brand. If you want to read more on that, citation volatility is a useful background topic. Evertune also separates base-model knowledge from consumer-app answers, sizes demand with Prompt Volumes from EverPanel, and scores each cited URL on topic relevance, brand relevance and sentiment.
Otterly.AI tracks daily on every plan and stores each answer, with raw responses exportable as CSV or JSON and every cited URL logged with link-position changes over time. Where it is thinner is method detail. It does not publish how long answers are kept, how often each prompt is sampled, or which model versions it uses, and its prompt research gives an Estimated Intent Score instead of real volumes. How an engine is queried also changes what you see, which is covered in API versus chat UI differences.
Evertune takes this axis. Otterly.AI's daily, inspectable answers are enough for most teams watching a few hundred prompts, and the missing method detail is worth asking about if you plan to report numbers to leadership.
From insight to action
Evertune is ahead on writing and activation, and Otterly.AI is ahead on audits and recommendations. Neither documents publishing into a CMS.
Evertune's Content Studio builds briefs from visibility gaps, with three strategies per topic, and its Content Agent writes full drafts from 250 to 3,000 words in one of six templates. Pro includes 25 a month and Enterprise is unlimited. You can add brand guidelines once and point it at up to 10 of your own URLs for tone, and the output leaves as a Markdown or HTML download, with no CMS connector named. Past content, Partner Connect maps opportunity URLs to affiliate and programmatic platforms, and the ChatGPT Ads Manager is in beta.
Otterly.AI stays on the diagnosis side. Recommendations come in ten types, on-page and off-page, ranked by impact, and Content Audit grades a page on 15 structural checks and 13 AI-readiness dimensions. GEO Audit tests whether 19 AI crawlers can reach your site. It mentions Content Briefs but no page describes what one contains, and it does not document writing articles.
What DeepSmith does: DeepSmith runs the whole loop in one place. Tracking shows where you are invisible, Opportunity Agents and the Content Map turn that into evidence-backed ideas, and the Writer produces publish-ready articles with internal and external links, a cover image and metadata. Produced Content then publishes to your CMS in one action, so the finished article does not end up as a file someone has to paste in.
Data access and security
Otterly.AI is the clear pick here. Standard and above include a public REST API (2,000 requests a month on Standard), an MCP server with the same allowance and a native Google Looker Studio connector. Evertune describes no customer API, MCP server or BI connector, so getting data into your own reporting is an open question to raise on the demo. SSO is Enterprise-only at both vendors.
On security, Otterly.AI cites the SOC 2 and ISO 27001 certifications of its AWS data center host, not a certification of its own. Evertune's own comparison page said in January 2026 that SOC 2 Type II was in progress, and no newer statement turned up. If procurement needs a report in hand, ask both for it before you shortlist.
What DeepSmith does: DeepSmith is SOC 2, GDPR and ISO certified. It also has a read-only REST API, an MCP server with 23 read-only tools that works with Claude, Cursor and other assistants, and signed webhooks that can trigger your own publishing flow.
Which should you choose
- DeepSmith fits a content or marketing team that wants to track AI answers and publish the articles that respond to them without stitching two tools together, on a published price with a free trial and a 4.8/5 rating on G2.
- Otterly.AI fits a small or mid-sized team, or an agency, that needs low-cost daily monitoring for up to a few hundred prompts, wants API and Looker Studio access, and plans to buy by itself without a sales call.
- Evertune fits a mid-market or enterprise team that needs a very large prompt set sampled many times per model, wants prompt demand sizing and ad activation, and is comfortable with a demo-led purchase and limited independent reviews.
In an Evertune vs Otterly.AI choice on its own, I'd pick Otterly.AI for cost control and data access, and Evertune for sampling depth and scale.
Ready to see tracking and publishing on one plan? Start a free DeepSmith trial and run your own prompts for seven days.
