AI Visibility 4-Way: Profound · Otterly · Brand Radar · Semrush vs RanketAI (#07)

TL;DR (as of 2026-05-12): The AI visibility measurement market clusters into four distinct positions. Profound owns enterprise depth ($499/mo · 10% of Fortune 500), Otterly AI covers mid-market with the widest LLM reach ($29$489 · 6 LLMs), Ahrefs Brand Radar is the SEO-stack integration ($328$828 stacked), and Semrush AI Visibility Toolkit is the easy upgrade for Semrush users ($99/mo). This article compares all four on official pricing · features · limitations and academic foundation (KDD 2024), then maps where RanketAI stands apart along five axes (pricing · LLMs · language · transparency · entry-point analysis) — with the Korean market as the anchor case.

Why a comparison matters right now

AI answer citations are replacing SERP clicks at a pace that hit 38% by 2026-02 (data cited in #06 — Schema.org 13 Types). As the impact has grown, the measurement-tooling market has hardened. Sight AI's 2026 analysis reports 30+ competing tools and an industry-average price of $337/mo.

The trap here is the question itself. "Which tool is the best?" is meaningless — 30+ tools do not all do the same thing. A tool with a $29 entry price and one at $499 do not target the same buyer; they target four different customer segments. The useful question, from the perspective of a SaaS operator or marketer, is: "Given my business size, language market, prior SEO-tool investment, and primary measurement goal — which tool fits?"

This article maps the four representative tools — Profound, Otterly AI, Ahrefs Brand Radar, and Semrush AI Visibility Toolkit — on pricing, LLM coverage, features, and target customer. Then it tells you where RanketAI fits, from a Korean-market vantage point. It does not pre-commit to a self-victory conclusion: each of the four tools owns real strengths, and RanketAI is not the right answer for every case. The point is the decision matrix — which customer should use which tool.

The four market positions

A quick view of the market structure:

Position	Price band	Representative tool	Core value
Enterprise depth	$500+/mo	Profound	Bot infrastructure tracking + Fortune 500 trust
Mid-market wide coverage	$29~$489	Otterly AI	6 AI platforms + low entry price
SEO-stack add-on	$328~$828 stacked	Ahrefs Brand Radar	Ahrefs ecosystem + 260M-prompt dataset
SEO-user expansion	$99/mo+	Semrush AI Visibility	Semrush One bundle + sentiment + 9 competitors

These four positions are not strictly MECE (mutually exclusive). All four tools overlap in some areas. But each has a distinct entry-funnel and pricing model targeting clearly different segments, and industry analyses such as Discovered Labs' comparison converge on this four-way split.

Each tool, in turn.

1. Profound — Enterprise depth ($499/mo)

Profound is among the most expensive standalone tools on the market as of 2026-05. Its standard plan, $499/month, is 48% above the $337/mo industry average reported by Sight AI's 30+ tool analysis. Despite that, Profound's own reporting claims 10% of the Fortune 500 as customers.

Core features

Profound's official site calls out four differentiators:

1. Prompt Volumes — a proprietary dataset that estimates real conversation patterns happening inside LLMs. Closer to a "search-volume estimator for LLM prompts" — a signal that tells you which prompts users actually ask.
2. Multi-LLM tracking — explicit coverage of ChatGPT, Gemini, Claude, and Perplexity. The explicit guarantee of Claude tracking at this price point stands out, especially next to Ahrefs Brand Radar's Claude exclusion.
3. Bot infrastructure monitoring — tracks which AI-platform crawlers visit which pages on your site, how often they return, and what traffic arrives as AI-search referrals. The only tool of the four to operate at the infrastructure layer.
4. Drag-and-drop automation + templates — marketing workflow automation with deep research and drafting capabilities.

Target customer

Profound's pricing and feature mix is unambiguously aimed at enterprise marketing teams. Profound's G2 reviews skew toward Fortune 500 customers and large agencies. For mid-market SaaS, ROI is harder to justify.

Strengths and weaknesses

Strengths:

• Bot-infrastructure visibility is genuinely unique among the four.
• Claude is included in the four-LLM coverage.
• Prompt Volumes dataset is a rich external signal.

Weaknesses:

• $499/mo is a real barrier for mid-market entry.
• No public validation of entity-matching accuracy for non-English markets (Korean, Japanese, etc.).
• The agency plan is split ($99/mo Growth + $399 client-workspace add-on), which complicates procurement.

2. Otterly AI — Mid-market wide coverage ($29~$489)

Otterly AI has the lowest entry price of the four while also covering the widest set of AI platforms. Lite at $29/mo gives 15 search prompts; Standard at $189/mo unlocks 100 prompts; Premium at $489/mo covers 400 prompts. Awards from G2, OMR, and Gartner; 20,000+ marketing professionals as users.

Core features

Otterly AI's features page highlights three differentiators:

1. 6 AI platforms tracked — ChatGPT · Google AI Overviews · Perplexity · Bing AI · Google AI Mode · Gemini. The broadest LLM coverage of the four. Claude is the notable exclusion.
2. Brand Visibility Index — a quantitative metric for how often your brand and competitor brands appear across AI answers.
3. GEO Audit + SWOT analysis — a structured audit that buckets your AI visibility into strengths, weaknesses, opportunities, and threats.

Otterly AI's G2 reviews consistently land on the same word: value. Lite at $29/mo is too thin for serious analysis, but Standard at $189/mo is widely described as "covers most of what we actually need."

Target customer

As Discovered Labs frames it, Otterly is aimed at mid-market SaaS and 1–5 person in-house marketing teams. The $29 → $189 → $489 ladder gives a sensible step-up curve: pilot with one person, then expand once ROI is proven.

Strengths and weaknesses

Strengths:

• Lowest market entry price ($29 Lite).
• Six AI platforms — includes Bing AI and Google AI Mode.
• Daily monitoring with historical logs (enables time-series analysis).
• Strong social proof: G2 awards + 20K users.

Weaknesses:

• Claude not tracked.
• Prompt-quota tiers are tight (15 / 100 / 400) — too thin for large keyword sets.
• No bot-infrastructure tracking.
• No public information on Korean-language entity matching.

3. Ahrefs Brand Radar — SEO stack add-on ($328~$828 stacked)

Ahrefs Brand Radar is the only one of the four with an add-on pricing model. You pay for the existing Ahrefs base subscription ($129/mo) and then layer the AI Indexes add-on on top.

Stacked pricing

• Ahrefs base $129/mo (required)
• AI Indexes $199/mo (single platform) or $699/mo (6-platform bundle)
• Custom prompt-tracking add-on $50/mo (2,500 prompts)

Minimum stacked cost: $328/mo (base + single platform). Maximum: $828/mo (base + 6 platforms + prompt add-on).

Core features

Ahrefs Help — About Brand Radar lists three differentiators:

1. 260M+ monthly prompts dataset — the largest prompt-volume dataset among the four tools.
2. 10-channel monitoring — AI Overviews & AI Mode (Google) · ChatGPT · Perplexity + YouTube · TikTok · Reddit (added in early 2026). Beyond AI platforms, it captures social-platform brand mentions.
3. Ahrefs SEO tooling integration — tied into Site Explorer, Keywords Explorer, Site Audit.

Explicit limitations

Both the EWR Digital 2026 review and the Ekamoira blog review point to the same three limitations:

1. Claude and Grok not tracked — even the 6-platform bundle excludes Claude and Grok. At this price point ($699/mo on top of base), reviewers consistently flag this as a real gap.
2. ChatGPT and Perplexity modules underreport — multiple late-2025 and early-2026 user reviews report missed mentions and missing citations.
3. Prompt tracking is a separate add-on — one of the core features costs an extra $50/mo. The pricing model is fragmented.

Target customer

Brand Radar is built for teams already on Ahrefs. If the base subscription is sunk cost, the add-on decision is straightforward. For non-Ahrefs users, however, the stacked $828/mo erodes ROI relative to other standalone tools.

Strengths and weaknesses

Strengths:

• Real value from Ahrefs SEO-tool integration.
• 260M-prompt dataset scale.
• Beyond-AI brand-mention tracking (YouTube · TikTok · Reddit).

Weaknesses:

• Claude and Grok not tracked.
• ChatGPT / Perplexity underreporting reports.
• Stacked pricing model is complex ($129 + $199~$699 + $50).
• Weak ROI for non-Ahrefs customers.

4. Semrush AI Visibility Toolkit — SEO user expansion ($99/mo)

Semrush AI Visibility Toolkit takes the same SEO-tool-extension strategy as Brand Radar, but with a much lower entry price. Standalone at $99/mo gets you 1 domain + 25 custom prompts.

Pricing

• Standalone $99/mo (1 domain + 25 custom prompts)
• Additional domains $99/each per month
• Additional prompts +50 prompts = $60/mo
• Semrush One bundle (Starter · Pro+ · Advanced) — integrates SEO + AI Visibility. Advanced tier covers 40 domains + 200 prompts + 5,000 daily-tracked keywords.

Core features

The Semrush official KB lists four features:

1. AI visibility benchmark + mention tracking — explicit LLM coverage: ChatGPT · Gemini · Google AI Mode.
2. Sentiment analysis — classifies whether your brand (and competitor brands) appear in positive, negative, or neutral tones across AI answers.
3. Up to 9 competitor analysis — track 9 competing brands in the same niche, with per-LLM ranking comparisons.
4. Technical audit — detects AI-crawler blocks + identifies competitive gaps.

Target customer

As with Brand Radar, the natural entry is existing Semrush SEO users. But unlike Brand Radar, the lower entry price ($99 vs $328) makes the toolkit attractive even to new Semrush customers.

Strengths and weaknesses

Strengths:

• Standalone $99/mo entry price (vs Brand Radar $328 stacked).
• Sentiment analysis built in by default.
• Nine concurrent competitors (wider than Brand Radar or Otterly).
• Semrush One unifies SEO and AI visibility into one bundle.

Weaknesses:

• Explicit LLM coverage is narrower (ChatGPT · Gemini · Google AI Mode) than Otterly's 6 or Brand Radar's 6.
• No explicit Claude or Perplexity tracking information.
• 25-prompt entry is tight — serious operation requires the +$60/50-prompt add-on.
• Profound's review of the Semrush toolkit flags the lack of enterprise depth.

The 4-way comparison matrix — the market at a glance

Item	Profound	Otterly AI	Ahrefs Brand Radar	Semrush AI Visibility
Entry price (monthly)	$499	$29 (Lite)	$328 (base + 1)	$99
Full price (monthly)	$499+	$489 (Premium)	$828 (base + 6 + prompts)	$99 + add-ons
Stated LLM count	4 (Claude ✓)	6 (Claude ✗)	6 (Claude ✗ Grok ✗)	3+ (partial info)
Entry prompts	Not disclosed	15 (Lite)	Not in base ($50 add-on)	25
Bot infra tracking	✓	✗	✗	△ (audit)
Sentiment	△	✓	△	✓
Competitor analysis	✓	✓	✓	✓ (9)
SEO tool integration	✗	✗	✓ (Ahrefs)	✓ (Semrush One)
Social platforms	△	✗	✓ (YouTube · TikTok · Reddit)	△
Target	Enterprise / F500	Mid-market	Ahrefs SEO users	Semrush SEO users

All four are built around English-speaking markets (or English-first). None of them publicly validate Korean-language entity-matching accuracy, and none offer local Korean payment / VAT invoicing out of the box. That gap is where RanketAI stands.

Where RanketAI stands apart — five axes

RanketAI does not target the same market as these four tools. Its positioning lives somewhere else.

Axis 1: Korean market + Korean-language entity matching

The four tools are built around the English-speaking global market, and none publicly validates Korean-language entity-matching accuracy. RanketAI's measurement engine accepts user-input aliases for the Korean spelling variants of a brand (English romanization, phonetic transliteration, short form, native Korean form) and normalizes them automatically. For example, "랭킷AI", "Ranket AI", and "랭킷에이아이" are recognized as the same brand, and the brand is matched whether it appears in an AI answer in English, native Korean, or transliterated form.

This is more than "multi-language support." It is purpose-built for specific patterns in Korean-language LLM answers — English brand names cited via Korean transliteration, brand domains showing up only in English roots. A Korean SaaS or service company that wants to measure how its brand actually surfaces in Korean LLM answers needs this layer.

Axis 2: Three separated menus — Diagnose, Measure, Compare

RanketAI separates its measurement tools into three menus:

• Page Structure Diagnosis — input one URL and get a GEO + AEO score, grade, and improvement recommendations in 30 seconds. No login required, free. No equivalent free entry layer exists in any of the four tools.
• AI Brand Visibility — measures how your brand appears across major AI answer engines using diverse prompt combinations. Produces multi-pillar scores and grades. The same space as Otterly · Brand Radar · Semrush.
• AI Competitor Comparison — measures share of voice for your brand plus multiple competitors against the same prompt set. The same space as Semrush's 9-competitor analysis.

The funnel from diagnose → measure → compare is explicit. The free diagnostic layer lowers the entry barrier more than any of the four alternatives.

Axis 3: Multi-pillar scores + grade transparency

Grounded in KDD 2024 GEO 9 strategies + Chen et al. 2025, RanketAI delivers measurement results as multi-pillar scores plus a letter grade. Which signals each pillar measures, and the distributional assumptions behind grade boundaries, are mapped in #04 — GEO Academic-to-Industry Mapping.

Compared to the single Brand Visibility Index (Otterly) or the sentiment score (Semrush), pillar-level decomposition with academic-citation transparency is the differentiator. Users can decompose "why this score?" across multiple signal axes, and they can reason about which underlying signal a given improvement action will move.

Axis 4: AI answer entry-point analysis

The four tools focus on after-the-fact measurement: "how often does the brand appear in AI answers right now?" RanketAI's AI answer entry-point analysis flips that perspective. It classifies the first-person questions users actually ask when entering your category into multiple intent buckets (self-brand · comparison · problem-solving · category onboarding · pre-purchase, etc.) and tells you exactly which entry points your brand is not appearing in (the uncovered entry points).

For example, if your brand fails to surface on a category-onboarding entry-point question like "I'm curious — what role does an LLM play in AI answer optimization?", RanketAI surfaces that specific entry point and proposes content directions to cover it. The chain from measure → diagnose → act runs one step deeper than a pure score dashboard.

Axis 5: Korean payment + VAT invoicing + Korean-language support

All four of the comparison tools default to USD billing with global invoices. For Korean SaaS and services, monthly accounting requires VAT-compliant invoices and KRW payment, which becomes friction. RanketAI runs on Korean payment infrastructure (PortOne) + KRW + Korean-language customer support by default. Small thing in isolation, but it compounds into measurable monthly time savings on the finance side.

Market vs RanketAI — five-axis comparison matrix

Adding the five axes to the four-tool matrix:

Item	Profound	Otterly AI	Brand Radar	Semrush	RanketAI
Entry price	$499	$29	$328	$99	Free (page structure diagnosis)
LLM coverage	4 (Claude ✓)	6 (Claude ✗)	6 (Claude ✗)	3+	Major LLMs (Korean-first)
Korean entity matching	△	△	✗	✗	✓ (user-input alias)
Pillar decomposition	✗	△ (Index)	✗	△ (sentiment)	✓ (multi-pillar + grade)
Entry-point analysis	✗	✗	✗	△ (prompt discovery)	✓ (intent classification)
Academic grounding	✗	✗	✗	✗	✓ (KDD 2024 cited)
Bot infra tracking	✓	✗	✗	△	△
Social platforms	△	✗	✓	△	✗
Korean payment / VAT	✗	✗	✗	✗	✓ (PortOne)
Free diagnostic layer	✗	✗	✗	✗	✓ (page structure diagnosis)

Where RanketAI wins: Korean entity matching · pillar transparency · entry-point analysis · Korean payment · free diagnostic layer.

Where the four tools win: Bot infrastructure tracking (Profound) · 6-platform LLM breadth (Otterly) · Social-platform reach (Brand Radar) · 9 competitors + Semrush SEO integration (Semrush) · prompt-dataset scale (Brand Radar 260M).

This is not a clean-sweep narrative — RanketAI does not win every axis. That fact is the starting point of the decision matrix.

Which customer should use which tool — five-case decision matrix

Tool selection is a function of four variables: (1) business size (monthly marketing budget), (2) target language market, (3) prior SEO-tool investment, (4) primary measurement goal.

Five cases, in order:

Case A — Korean-market SaaS or service (marketing budget under ~₩1M/month)

Pick: RanketAI (Page Structure Diagnosis → AI Brand Visibility → AI Competitor Comparison).

Why: None of the four English-first tools has public validation of Korean entity-matching accuracy, and payment + VAT invoicing creates ongoing operational friction. Accurately measuring how your brand surfaces in Korean LLM answers requires the alias system. The free diagnostic → paid measurement funnel makes ROI validation incremental.

Case B — SaaS operating in both Korean and English markets (marketing budget ~₩1M–3M/month)

Pick: RanketAI (Korean market) + Otterly AI Standard $189/mo (English market).

Why: RanketAI wins on Korean-language measurement accuracy. The English market benefits more from Otterly's 6-platform breadth (Bing AI · Google AI Mode included). The combined cost is competitive against a single Profound $499 subscription, and ROI on each tool can be validated independently.

Case C — English-market mid-market SaaS or 1–5 person agency (marketing budget ~₩500K–2M/month)

Pick: Otterly AI Lite → Standard ladder.

Why: The $29 entry price supports a one-person pilot; $189 supports full operation. The validation curve is sane. Six AI platforms plus the GEO Audit SWOT cover most decisions a 1–5 person team needs to make.

Case D — SEO team already on Ahrefs or Semrush

Pick: The AI Visibility add-on for whichever stack you already pay for (Brand Radar or Semrush AI Visibility Toolkit).

Why: If your base subscription is sunk cost, add-on selection is a simple decision. Just acknowledge the limitations — Brand Radar misses Claude · Grok and shows ChatGPT · Perplexity underreporting — and pair it with a complement (Otterly AI Lite or RanketAI free diagnosis) if those gaps matter.

Case E — Fortune 500 or large global brand (budget unconstrained)

Pick: Profound + a separate RanketAI deployment for the Korean business unit.

Why: Bot-infrastructure tracking and Claude-inclusive 4-LLM depth are Profound's alone. For the Korean BU, run RanketAI separately and consolidate both into the global marketing dashboard.

Conclusion — not "which tool is best" but "which case am I"

The AI visibility measurement market has hardened into four positions across 30+ tools. Profound's enterprise depth, Otterly AI's mid-market breadth, Ahrefs Brand Radar's SEO integration, and Semrush AI Visibility's entry price each target a different segment. Asking "which tool wins?" is the wrong frame; "which case do I belong to?" is the right one.

RanketAI does not fit cleanly into any of the four positions. It stands apart on Korean market + Korean entity matching + pillar transparency + entry-point analysis + Korean payment — five axes. The judgment that the four-tool market does not adequately serve Korean SaaS and services that need accurate Korean-language LLM-answer measurement is RanketAI's founding rationale.

The conclusion does not force a self-victory. Case E (Fortune 500) is better served by Profound. Case C (English-market mid-market) is better served by Otterly AI. RanketAI sits at the top of the decision list for Cases A and B — Korean-market SaaS and services.

The next guide, [#08 — Competitor pattern analysis: the five common traits of SaaS frequently cited in AI answers], will use measurement data from these four tools to identify common patterns (Wikipedia listing · authoritative press · G2 registration · sameAs JSON-LD · domain authority) backed by empirical results. The 4-way standalone matrix in this guide is the base layer of that decision.

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References (4 tools + academic):

• Profound — Official · Pricing · G2 Reviews
• Otterly AI — Official · Pricing · G2 Reviews
• Ahrefs Brand Radar — Official · About Brand Radar
• Semrush AI Visibility Toolkit · Semrush Pricing
• Aggarwal et al. — GEO: Generative Engine Optimization (KDD 2024)
• Chen et al. — How to Dominate AI Search (2025)
• Daily Emerald — 4 Best AI Search Visibility Tools (2026)
• EWR Digital — Brand Radar Review (2026)