AI Visibility · Tool Review

Otterly AI Review (2026): The $29 Entry, the Add-On Bill, and Who It Fits

Otterly AI is the cheapest real entry into AI visibility and the tool most roundups tell a first-time buyer to start with. Most reviews of it are written by a competitor and stop at the $29 headline. This one reads the pricing page including the add-on tables, the 54 G2 reviews, the MCP page and the Reddit threads where people who pay for it talk, and prices the tool you would actually run.

By Linkeddit·Updated 4 September 2026·14 min read

Key takeaways

  • Verified 4 September 2026 on Otterly's own page: Lite $29 a month for 15 prompts, Standard $189 for 100, Premium $489 for 400, Enterprise from $1,000. Annual billing takes 15% off. Every self-serve tier tracks four engines.
  • Gemini, Google AI Mode and Claude are add-ons. Six engines is $47 on Lite, $307 on Standard, $787 on Premium; add Claude and it is $76, $416 and $1,226. On Premium the Claude add-on costs almost as much as the plan.
  • G2: 4.7 out of 5 across 54 reviews, 99% four or five stars. Four of ten first-page complaints ask for deeper reporting, two name price, two say the prompt allowance runs out, none say the data is wrong.
  • Reddit's one-line review, from a marketer who tested more than ten tools: the easiest to recommend to someone getting started, and the tradeoff is depth.
  • Otterly has an MCP server and a public API, both documented, both metered by tier and both absent from Lite. That puts it ahead of most of the category on agent readiness.
  • It stops at the recommendation. G2 reviewers say it is not always clear what to do with the findings, and nothing in the product drafts the fix against the cited evidence or re-measures it.
  • In our own runs, otterly.ai was cited in 2 of 62 Gemini answers and 1 of 44 Perplexity answers. Like every vendor in this category, it is mostly absent from the answers about its own category.

01What Otterly AI is, and where it came from

Otterly AI is an AI search monitoring and optimization platform. You give it prompts your buyers ask, it runs them daily across ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot, and it reports a Brand Visibility Index, domain rankings, link citations, sentiment, and competitor visibility. Around that it has added a prompt research tool, a Generative Engine Optimization audit of your URLs, Agent Analytics for AI crawler traffic, ChatGPT Ads tracking, weekly recommendations, a Looker Studio connector, and on the Standard tier and up a public API and an MCP server.

The company was founded by Thomas Peham, Josef Trauner and Klaus-M. Schremser, marketers before they were vendors, and launched the product in October 2024 as one of the first AI search monitoring tools aimed at marketing teams. Its own about page records TechCrunch coverage in December 2024, growth from 1,000 to 10,000 marketers during 2025, a Gartner Cool Vendor designation for AI in Marketing in 2025, and a G2 High Performer badge for Answer Engine Optimization. Those are the vendor’s claims about itself; the Gartner one is also on GlobeNewswire dated 4 November 2025.

The positioning is the useful part. Otterly is built for the marketer who wants to see the answer engines without an enterprise budget, and everything about it, from the $29 tier to the free trial to the prompt calculator on the pricing page, is designed to get a first-time buyer to a first look fast. The question this review answers is what happens after the first look.

02Otterly AI pricing in September 2026, read on the day

We fetched otterly.ai/pricing on 4 September 2026 as plain text, with both the monthly and the annual toggle rendered and the add-on tables intact. Everything below is from that fetch.

TierMonthlyAnnual, per monthPromptsEngines includedAlso on the page
Lite$29$2515ChatGPT, AI Overviews, Perplexity, Copilot1 workspace, 3 recommendations a week, 1,000 GEO audits, unlimited team members, daily tracking
Standard$189$160100Same fourUnlimited workspaces and recommendations, 5,000 URL audits, Looker connector, 2,000 API and 2,000 MCP requests, 200k Agent Analytics events
Premium$489$422400Same four10,000 URL audits, 5,000 API and 5,000 MCP requests, 1M Agent Analytics events, personal onboarding
EnterpriseFrom $1,000CustomCustomCustomSSO, custom payment terms, quarterly GEO health check, dedicated customer success manager

Agencies that subscribe to Standard or Premium and apply for partner status get 150 and 500 prompts instead of 100 and 400, plus separate client workspaces and branded Looker reports. The page states a free trial and that subscriptions are monthly and cancellable at any time, and it answers the hidden-fee question directly: none, and no OpenAI subscription required.

$1.93
Per tracked prompt per month on Lite, four engines included
$0.47
Per prompt per engine on Standard, the four included engines
$1.22
Per tracked prompt on Premium, the cheapest flat-tier rate we have found

On the included engines Otterly is the cheapest flat-tier tracker in the category per prompt, which we established across every vendor in what AI visibility tools cost per tracked prompt. That sentence has a condition in it, and the next section is about the condition.

03The add-on bill, priced out

The pricing page has a second table most reviews skip. Google AI Mode and Gemini are not included on any self-serve tier; each is an add-on at $9 a month on Lite, $59 on Standard and $149 on Premium. Claude is a third add-on at $29, $109 and $439. Extra prompts are $99 per 100 a month on Standard and Premium, and Standard can only add 300 before you are moved to Premium.

What you want to trackLiteStandardPremium
Four included engines$29$189$489
Plus Gemini$38$248$638
Plus Gemini and AI Mode$47$307$787
All seven, including Claude$76$416$1,226

Three observations. The add-ons scale with the plan, so a Premium customer pays $439 a month to add Claude, which is 90% of the plan itself; the same engine is $29 on Lite. The competing review from Analyze AI puts it plainly: “the headline price of $189 a month can realistically become $300 plus before you have full engine coverage”, and on the page that figure is $307. And a G2 reviewer’s complaint about “the jump to €189 a month for the Standard tier” is the same jump most teams make in the first two weeks, because 15 prompts is a proof of concept, not a monitor. Our own runs show Gemini and Claude recommending different brands from ChatGPT on the same prompts more often than not, so the engines you add are not optional if your buyers use them.

04What Otterly AI does well

The lowest honest entry price. $29 for 15 prompts on four engines, daily, with unlimited team members, is the cheapest way in the category to stop guessing. Nobody else’s entry tier is under $50 with four engines included. For a founder who wants to know whether ChatGPT names them at all, this is the right first purchase.

Ease of use, by every account. Eight of eight likes on the first page of G2 mention the dashboard, the setup or how quickly the team got to insight. “Simple to get actionable insights without a steep learning curve,” one wrote. The marketer in r/DigitalMarketing who tested more than ten tools called it “probably the easiest one to recommend to someone just getting started”. Every competing review, including the ones selling against it, concedes the interface.

Prompt research. An agency reviewer on G2 called the AI prompt research tool “fantastic” and said it “provides exactly what we need”. The pricing page also offers a prompt calculator for sizing your allowance, which is a small thing that most vendors do not do.

Recommendations that customers renew for. “We love the new recommendations section,” one reviewer wrote, “the price point is also great, so it’s a good ROI for us, and we had no problems in renewing.” That is the sentence a vendor wants on G2, and Otterly has it.

API and MCP on the mid tiers. Covered below. Metered, but present, documented and included from Standard up.

Transparency about the unit. The pricing page answers “how many prompts do I really need” and “are there hidden fees” in its own FAQ, prints the add-on prices per tier, and lists the request and event allowances. You can compute your bill before you sign up, which is more than Profound’s Enterprise tier or Peec’s main-content-stripped page let you do.

05Where Otterly AI falls short

Depth, and the reviewers say so politely. Four of the ten dislikes on the first page of G2 ask for more: “more advanced filtering and more customizable reporting”, “more granular historical data”, “some advanced analytics and deeper customization options can feel limited for highly detailed enterprise level monitoring needs”. The r/DigitalMarketing tester said it in one word: “the tradeoff is depth”.

It recommends, it does not diagnose the page. One G2 reviewer, at the Standard tier: “it’s not always clear what specific actions should be taken based on the findings. At this price point, I would expect more concrete guidance and strategic recommendations.” Lite gets three recommendations a week; Standard gets unlimited. Neither names the specific cited page that put the competitor in the answer and drafts the change against it, and nothing re-runs the prompt to show the change moved.

The prompt allowance runs out. Two reviewers say so directly, and the pricing page agrees by capping Standard at 300 extra prompts before a forced move to Premium. Fifteen prompts on Lite is a first look. A real programme is 50 to 150, and that is a $189 conversation.

Sentiment is over-sensitive. “The system ends up classifying purely factual or neutral mentions about the brand as slightly negative,” one reviewer wrote. This is the only data-quality complaint on the page and it is about a derived score, not the mentions or citations.

No site connector, so no referral view. A reviewer in a niche industry noted that “since there are no direct connectors with the website, we don’t see much in the way of site visits from AI”. Agent Analytics covers crawler traffic, not human referrals from assistants.

One area for improvement is turning insights into actionable recommendations. While the monitoring capabilities are useful, it's not always clear what specific actions should be taken based on the findings. At this price point, I would expect more concrete guidance.
Verified G2 reviewer, first page of OtterlyAI reviews, read on 4 September 2026

06What 54 G2 reviewers actually say

On 4 September 2026 OtterlyAI held 4.7 out of 5 on G2 across 54 reviews: 83% five-star, 16% four-star, nothing lower. G2 lists Profound at 4.5 on 1,128 reviews, Semrush at 4.4 and Writesonic at 4.7 as the top rated alternatives on the same page. Fifty-four is a meaningful sample for a product this young, and a spotless distribution at a $29 entry says the expectation and the product are well matched.

4.7 / 5
G2 rating across 54 reviews, 4 September 2026
99%
Four or five stars
4 of 10
First-page dislikes asking for deeper reporting or customization

We read the first page rather than all 54, so the theme counts are a sample. The eight likes cluster around ease of use and the dashboard, the recommendations section, price and ROI, accurate competitor identification, the prompt research tool, and support, which one agency reviewer called “amazing”. The ten dislikes: four for reporting depth and customization, two for price, two for the prompt allowance, one for more engines and historical data, one for sentiment scoring, plus one “no complaints” and one hoping a Claude skill will fill a gap in per-prompt trend tracking. Nobody says a reported mention failed to reproduce. That is the sentence that matters for a tracker, and Otterly’s reviewers do not say it.

07What practitioners say on Reddit

Otterly comes up on Reddit as the affordable option in almost every thread about this category, and vendors post about it as often as customers do, so we filtered for threads with real discussion. Three patterns.

The starting point. The r/DigitalMarketing marketer who tested more than ten AEO tools: “Otterly was probably the easiest one to recommend to someone just getting started. The setup is relatively simple and it does the core job of showing whether your brand and competitors are appearing in AI answers without making the whole thing feel like another complicated SEO platform. The tradeoff is depth.” That is the consensus, and Otterly’s own pricing agrees with it.

Affordable is relative. In an r/GEO_optimization thread asking for affordable GEO tools for small clients, the top reply was that “none of the GEO tools is affordable currently” compared with traditional SEO suites, and another recommended “one affordable tracker like Peec AI or Otterly” alongside Search Console and manual prompt testing rather than paying for several. A third thread noted that the “free” tiers from Peec, Otterly and others “are really trials, so the clock’s running”.

It fits a manual workflow. In a well-upvoted r/GEO_optimization thread on tracking AI rankings, the original poster logged prompts weekly in a spreadsheet and used OtterlyAI to “check where my brand gets picked up across ChatGPT, Gemini, Perplexity, and Google AIO”, with replies calling it “a core part of my tracking process”. That is the honest picture of the product: a good tracker inside a workflow the marketer still runs by hand.

Otterly was probably the easiest one to recommend to someone just getting started. The tradeoff is depth.
via r/DigitalMarketing, a marketer who tested more than ten AEO tools

08API and MCP, checked against the pages

Otterly has both, and documents both. The public API is at docs.otterly.ai and covers brand reports, prompts, citations and agent analytics. The MCP server, described at otterly.ai/features/mcp on 4 September 2026, connects to Claude, ChatGPT, Cursor and any MCP client over the streamable HTTP transport, authenticates with OAuth or the public API key, and exposes tools for brand coverage history, ranks with sentiment, top domains, per-engine breakdowns across ChatGPT, Gemini, Perplexity, Copilot, AI Overviews and AI Mode, prompts with mention stats, the raw AI response runs, cited URLs with share of citations, crawlability and content checks, and recommendations. The page says that with Claude Code it is one command.

The pricing page is where the caveats are. API and MCP access appear on Standard and Premium, not Lite, and both are metered: 2,000 requests a month each on Standard, 5,000 on Premium, custom on Enterprise. Two thousand MCP calls is plenty for a marketer asking questions and thin for an agent running a daily loop across clients. And the MCP reads Otterly’s data; it does not make Otterly draft or verify a fix, because the product does not do that anywhere.

Against the category, this is a strong showing. Profound has no API below Enterprise and no public MCP. Peec has an official MCP with write tools. Otterly has an API and an MCP from $189. For comparison, every Linkeddit capability, including the fix draft and the re-measurement, is an MCP tool over one URL with no per-request meter; the connector page lists them.

09What Otterly measures, and what no tracker can

Otterly’s Brand Visibility Index is the share of tracked prompts, on the engines you pay for, sampled daily, in which the brand appeared, with position and sentiment layered on. Like every visibility score in this category it is comparable with itself over time and with nothing else, because prompt sets, engine mixes and sampling differ by vendor. A marketer in r/DigitalMarketing who ran the same topics through several platforms got different numbers from each, and the right conclusion, which they drew, is that none was necessarily wrong. Reviews that rank tools by their visibility scores are ranking prompt sets.

Three things no tracker can see. How many people asked the question: Otterly’s prompt research tool suggests prompts and helps you size the set, and does not claim volume. Whether an answer sent a visit: Otterly is candid that it has no site connector and a reviewer noticed. Why the engine chose a source: the raw response runs available over MCP are as close as you get, and the reason is still a hypothesis. We have written up the same limits for our own product in AI citation tracking.

One test we run on every vendor we review: is the tool’s own domain in the answers about its own category? Across 220 completed answers in our Answer Radar runs, which include prompts about AI visibility tools, otterly.ai was cited in two Gemini answers and one Perplexity answer, and never by ChatGPT or Claude. Three citations is about what Profound got and more than Peec, and all three numbers say the same thing: the engines cite roundups and review sites about vendors, not the vendors.

10Otterly AI vs Linkeddit Answer Radar

We sell a product in this category, so read this as a vendor’s comparison and check both pricing pages. The short version: Otterly is the cheaper first look on four engines and the better fit for a solo marketer who wants a clean tracker. Answer Radar is four engines including Gemini and Claude with no add-ons, and it finishes the job Otterly hands back to you, at $99 with competitor intelligence included.

Otterly AILinkeddit Answer Radar
Entry price, as printed$29/month for 15 prompts$99/month inside Compete
Engines at entryChatGPT, AI Overviews, Perplexity, CopilotChatGPT, Perplexity, Gemini, Claude
Gemini$9 to $149/month add-onIncluded
Claude$29 to $439/month add-onIncluded
Google AI OverviewsIncludedBeing added as a fifth engine
CopilotIncludedNo
UsersUnlimitedPer plan
Tracking frequencyDailyScheduled per project, on demand any time
Cited pages storedYesYes, fetched and kept per run
Recommendations3 a week on Lite, unlimited from StandardRanked by intent and evidence strength
Fix drafted from the recorded citations onlyNoYes, unsupported claims rejected
Re-measured after the fixTrack over timeYes, as an observed delta
GEO URL audit and crawler analyticsYes, from StandardNo
API and MCPFrom Standard, meteredMCP for every tool, included
Weekly competitor intelligence briefNoIncluded
G2 reviews54 at 4.7Far fewer

Pick Otterly if you are a solo marketer or a small team that wants the cheapest credible first look on ChatGPT, AI Overviews, Perplexity and Copilot, you value the interface and the prompt research tool, you want a GEO audit of your URLs, and your buyers do not live on Gemini or Claude. At $29 the decision costs less than the time spent making it.

Pick Answer Radar if you need Gemini and Claude without paying $38 to $439 a month in add-ons, you want the measurement to end in a drafted fix built from what the engines actually read and a re-measurement that says whether it moved, and you want weekly competitor intelligence on the same bill. The full comparison is at Linkeddit vs Otterly.

11Verdict: is Otterly AI worth it?

Yes, as the first tool. If you have never seen how your brand appears in AI answers, $29 for 15 prompts on four engines is the right way to find out, the product is the easiest in the category to use by every account we could find, and its G2 record is as clean as any. The team behind it were marketers first, and it shows in the pricing page, which tells you the whole bill before you sign.

Be careful, as the second tool. The tier most teams end up on is $189, the engines most teams end up needing are add-ons that take Standard to $307 or $416, and the prompt allowance is capped in a way that pushes real programmes to $489. At that point you are paying Profound Growth money for a tracker whose own reviewers ask for more depth and more concrete guidance, and the honest answer is that the market has other options at that price, including one that drafts and verifies the fix.

What we could not verify: the free trial length, which the page states without a number and a competing review gives as 14 days; the MCP request meter’s behaviour at the limit; and any funding or revenue figures, which Otterly does not publish and we did not find in primary sources. We have said so where each comes up.

Four engines, no add-ons, the fix drafted and re-measured, for $99

Answer Radar asks ChatGPT, Perplexity, Gemini and Claude your buyers’ questions with no per-engine add-on, stores every cited page, ranks the gaps by evidence, drafts the fix from what the engines actually read, and re-measures. It is included with Compete at $99 a month alongside the weekly competitor brief, and every step is callable over MCP.

See how Answer Radar works

12Frequently asked questions

Frequently asked questions

How much does Otterly AI cost?+

As read off otterly.ai/pricing on 4 September 2026: Lite $29 a month ($25 annual) for 15 prompts, Standard $189 ($160 annual) for 100 prompts, Premium $489 ($422 annual) for 400 prompts, Enterprise from $1,000 a month. Every self-serve tier tracks four engines: ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. Google AI Mode and Gemini are add-ons at $9, $59 or $149 a month by tier; Claude is $29, $109 or $439 a month by tier. An extra 100 prompts is $99 a month on Standard and Premium.

Is Otterly AI worth it?+

For a solo marketer or a small team that wants a first, honest look at how a brand appears in ChatGPT, AI Overviews, Perplexity and Copilot, yes: $29 for 15 prompts on four engines is the lowest real entry in the category, the interface is the one every reviewer praises, and the G2 record is strong. It is worth less than it looks if you need Gemini, AI Mode or Claude, because those are add-ons that can double the bill, and if you want the tool to tell you what to change and prove it worked rather than recommend in general terms.

What do Otterly AI's G2 reviews say?+

On 4 September 2026 OtterlyAI held 4.7 out of 5 on G2 across 54 reviews, 83% five-star and 16% four-star. The praise is about ease of setup, the dashboard, the new recommendations section, the prompt research tool, accurate competitor identification and responsive support. Of the ten dislikes on the first page, four ask for deeper reporting or customization, two name price (the jump to the Standard tier, and expecting more concrete guidance at that price), two say the prompt allowance runs out, one wants more engines, and one says sentiment scoring flags neutral mentions as slightly negative.

Which AI engines does Otterly AI track?+

Four on every self-serve plan: ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. Google AI Mode and Gemini are paid add-ons per tier, and so is Claude. A team that needs all seven pays for three add-ons on top of the plan. The MCP server reports per-engine breakdowns across ChatGPT, Gemini, Perplexity, Copilot, AI Overviews and AI Mode.

Does Otterly AI have an MCP server?+

Yes. As of 4 September 2026 otterly.ai/features/mcp describes an MCP server over the streamable HTTP transport that connects to Claude, ChatGPT, Cursor and any MCP client, authenticating with OAuth or the public API key, with tools for brand coverage history, ranks with sentiment, top domains, per-engine breakdowns, prompts with mention stats, raw AI response runs, cited URLs with share of citations, crawlability and content checks, and recommendations. The pricing page meters it: 2,000 MCP requests a month on Standard, 5,000 on Premium, none on Lite.

What does full engine coverage on Otterly really cost?+

Add the add-ons to the plan. Six engines (the four included plus Gemini and AI Mode) is $47 a month on Lite, $307 on Standard and $787 on Premium. Adding Claude takes those to $76, $416 and $1,226. On Premium the Claude add-on alone, at $439, is almost the price of the plan. Price the engines your buyers use before comparing the $29 headline with anyone else's.

What is the best alternative to Otterly AI?+

If the constraint is engines, Linkeddit Answer Radar is $99 a month for ChatGPT, Perplexity, Gemini and Claude with no add-ons, and it ends in a drafted, evidence-backed fix and a re-measurement plus weekly competitor intelligence. If the constraint is prompts at the mid-market, Peec AI is $80 a month annual for 50 prompts on three models with unlimited users. If you need enterprise depth, Profound. All three comparisons are linked at the end of this review.