Comparison · The honest map

AI visibility tools: trackers vs. fixers — an honest map of the category

Short answer

The AI visibility category splits into two jobs. Trackers — Profound, Otterly, SE Visible, and others — monitor whether your brand appears in AI answers over time: the scoreboard. Fixers — LLM Gap Analyzer's category — dissect why a specific answer chose its sources and hand you the content changes to become one: the repair manual. They're complementary, not substitutes. If you don't know whether you have a problem yet, start with tracking. If you already know which keywords you're losing, start with fixing.

Disclosure: I built LLM Gap Analyzer, so read this as a founder's map, not a neutral review. I've tried to keep it honest enough that a Profound customer would nod along — including the section on when you shouldn't buy my tool.

The two jobs, and why one tool rarely does both

Tracking is a breadth problem: run thousands of prompts across engines on a schedule, aggregate mentions, chart share of voice against competitors. It rewards scale, scheduling, and dashboards.

Fixing is a depth problem: take one live answer and reconstruct it — which source powered which segment, which claims are well-grounded and which are standing on a stale 2024 blog post, what your article specifically lacks, and what sentence, placed where, changes the outcome. It rewards forensic resolution, which is expensive per query and pointless to run on a nightly schedule.

Different economics, different outputs, different buyers' moments. Which is why the market keeps producing both — and why "GEO tool" comparisons that rank them on one axis confuse people.

The map

ProfoundOtterlySE VisibleLLM Gap Analyzer
JobEnterprise AI share-of-voice & brand monitoringAI search monitoring for SMB/mid-marketAI visibility tracking in the SE Ranking suitePer-answer forensics + per-article fixes
Scheduled tracking across many promptsYes — core strengthYesYesNo — on-demand, per keyword/prompt
Share-of-voice dashboardsYesYesYesNo
Explains why a source was chosen (reasoning per answer)LimitedLimitedLimitedYes — 6-layer Answer Breakdown
Grades claims in the answer (weak / unsourced)NoNoNoYes — Claim Analysis
Sentence-level fixes for your articleNoNoNoYes — location + ready-to-paste content + competitor you'll replace
EnginesMultiple AI platformsMultiple AI platformsMultiple AI platformsGoogle AI Overviews + ChatGPT (Gemini, Claude soon)
Entry priceEnterprise-oriented; higher tiersFrom ~$39/moAdd-on within SE Ranking plans$49/mo flat · 7-day trial · unlimited $59/mo

Competitor details reflect public information as of July 2026 — verify current pricing and features on their sites.

One keyword through both tool types: "best crm for startups"

The clearest way to see the split is to run the same losing keyword through each tool class and compare what comes back. (Sample outputs, representative of each class.)

"best crm for startups" · tracker output vs. fixer outputside by side
TRACKER → "Brand visibility: 0% (0 of 30 runs). Competitor A: 71%. Competitor B: 44%. Trend: ↓ from 12% in April."the what — precise, actionable-adjacent, but no path

FIXER → "Competitor A grounds 3 of 6 claims; its March 2026 pricing table won the framing slot. Weakest claim in the answer: 'all startup CRMs include free migration' (unsourced — actually 4 of 9 vendors). Your page lacks a migration-cost passage entirely. Location: after H2 #3. Suggested content drafted. Article you'll replace: competitor A's pricing post."the why + the where + the fix
The honest read: the tracker output is genuinely valuable — you can't manage 500 keywords with forensics. And the fixer output is what actually changes the number the tracker reports. Neither replaces the other; they're the diagnosis and the surgery.

When you should NOT buy LLM Gap Analyzer

Sales pages never include this section, which is exactly why this one does:

  • You need continuous monitoring across hundreds of prompts. That's a tracker's job. Buy Profound (enterprise), Otterly (SMB), or SE Visible (if you're already in SE Ranking) — and come back when the dashboard shows you what's broken.
  • You have no content team. Our output is editing instructions. If nobody will ship the edits, the analysis is a very detailed description of a problem you won't fix.
  • Your keywords don't trigger AI answers. Some niches still see few AI Overviews. Check first; don't buy a repair manual for a machine you don't own.

How teams run both (the sane stack)

  1. Tracker finds the bleeding. Weekly dashboard: which prompts/keywords mention competitors but not you, where share of voice is slipping.
  2. Fixer performs the surgery. The 5–10 worst losses go through LLM Gap Analyzer: source reasoning, weakest claims, gap list, ready-to-paste fixes — the full gap-analysis workflow.
  3. Tracker verifies the recovery. Citations flip in days-to-weeks after recrawl; the dashboard turns your edits into a before/after chart leadership understands.

Total stack cost for an SMB running Otterly + LLM Gap Analyzer: under $90/month — less than one hour of the consultant who'd tell you the same thing quarterly.

Seven questions that expose any AI-visibility vendor in one demo call

Category marketing has converged ("GEO platform," "AI SEO"), so the tools sound identical until you ask questions the dashboards can't deflect. Take these to every demo — including ours:

  1. "Show me WHY this specific answer cited this specific source." Trackers show that it happened; only per-answer reasoning shows why. If the answer is a correlation chart, you're looking at a tracker.
  2. "Which claim in this answer is weakest, and how do you know?" Claim-level grading either exists in the product or it doesn't. This single question separates the categories in ten seconds.
  3. "What exactly do I change on my page — show me the sentence and the location." "Improve topical authority" is not an answer a writer can ship Tuesday.
  4. "Is this data live or cached, and from which surface?" Overviews regenerate; cached SERPs age in days. Also confirm which surfaces are covered — AI Overviews and AI Mode citations overlap far less than vendors imply.
  5. "What's the per-query cost at my real usage?" Per-prompt-per-engine-per-day pricing multiplies quietly. Get the number for your keyword count.
  6. "Show me a before/after where a customer's content change flipped a citation." The honest answers are revealing in both categories: trackers measure it, fixers cause it, and vendors with neither change the subject.
  7. "What should I NOT use you for?" Every honest vendor has a crisp answer. (Ours is at the top of this page.)

Scoring guide: questions 1–3 test whether it can fix; 4–6 test whether the tracking is trustworthy; 7 tests whether the vendor is. A tool that passes 1–3 but not 4–6 is a fixer (that's us — we told you the tracking limits above). A tool that passes 4–6 but not 1–3 is a tracker. A tool claiming all seven deserves your hardest follow-ups.

Go deeper: what "why this source" mechanically means → the selection pipeline. What claim-grading finds in the wild → the study. The workflow a fixer should enable end-to-end → gap analysis, step by step.

Already know which keywords you're losing?

Then you're past the tracking stage. Run those keywords through the Google AI Gap Analyzer and get the why and the fix. 7-day free trial in the Semrush App Center.

Analyze my lost keywords

Frequently asked questions

What is the best AI visibility tool?
There's no single best because the category does two jobs: trackers (Profound for enterprise, Otterly for SMB, SE Visible inside SE Ranking) monitor whether you appear in AI answers, while fixers (LLM Gap Analyzer) explain why a specific answer chose its sources and produce the content changes to become one. The best stack for most teams is one of each.
What is GEO (Generative Engine Optimization)?
The practice of earning visibility and citations inside AI-generated answers — Google AI Overviews, ChatGPT, Perplexity and similar — rather than only ranking in classic results. It centers on passage-level signals: extractability, claim verifiability, freshness, and E-E-A-T, measured against live answers.
What does Profound do?
Profound is an enterprise AI search analytics platform: it monitors brand presence across AI answer engines at scale, tracks share of voice against competitors, and reports citation and sentiment trends. It's the scoreboard for large brands — monitoring breadth rather than per-answer forensic depth.
What is a good Otterly alternative?
Depends on the job. For similar scheduled monitoring: SE Visible (if you use SE Ranking) or Profound (enterprise scale). For what Otterly doesn't do — explaining why a source was chosen and generating sentence-level fixes — the complement rather than replacement is LLM Gap Analyzer; many SMBs run Otterly and it together for under $90/month.
How much do AI visibility tools cost?
Entry points as of mid-2026: Otterly from around $39/month, SE Visible as an add-on within SE Ranking plans, Profound at enterprise-oriented pricing, and LLM Gap Analyzer at a flat $49/month (30 searches, both engines) with unlimited at $59/month. Verify current pricing on each vendor's site.
What's the difference between AI visibility tracking and rank tracking?
Rank tracking records your position in classic results; AI visibility tracking records whether your brand or URL appears inside generated answers across engines. They diverge constantly — only ~38% of AI Overview-cited pages rank top 10 — so one cannot proxy for the other.
Do I actually need an AI SEO tool?
Check three things: do your money keywords trigger AI Overviews, is your informational CTR falling at stable rankings, and do buyer prompts about your brand return errors or competitor-only answers? If any is yes, you have the problem these tools address; which type you need depends on whether you're diagnosing (tracker) or repairing (fixer).
Can LLM Gap Analyzer replace Profound or Otterly?
No — and it doesn't try to. It has no scheduled tracking or share-of-voice dashboards. It adds what trackers don't have: six-layer answer dissection, claim grading, and per-article fixes with locations and ready-to-paste content. Replacement runs one direction only: nothing in the tracker class produces the fix.
Is Semrush building its own AI visibility features?
Yes — Semrush offers AI visibility capabilities in its main platform, and both Otterly and LLM Gap Analyzer are also distributed through its App Center. The ecosystem reflects this page's thesis: tracking and fixing are different products, and Semrush stocks both.
What should I look for when choosing an AI visibility tool?
Match the tool to the decision you need to make. For 'are we visible, and trending which way?' — scheduled multi-engine tracking, competitor share of voice, alerting. For 'why did we lose this answer and what do we change?' — per-answer source reasoning, claim-level grading, and concrete content output your team can ship.
Can I use LLM Gap Analyzer as a lightweight tracker?
Somewhat: re-running your top 10 keywords monthly (well within the 30-search plan) gives a mini-monitoring cadence with far deeper output per check. Teams with a handful of money keywords often find that's all the tracking they need; teams with hundreds of keywords still want a real tracker.
Which AI engines do these tools cover?
Trackers generally monitor several engines (Google AI surfaces, ChatGPT, Perplexity, and others, varying by vendor). LLM Gap Analyzer currently analyzes Google AI Overviews (URL + keyword) and ChatGPT (prompt-based Factual Check), with Gemini and Claude engines announced as coming soon.
How do I measure ROI from AI visibility tools?
Tie tool output to click and pipeline recovery: log cited/not-cited per money keyword, watch Search Console CTR on recovered queries (cited brands measure ~35% higher CTR), and track fix-to-flip time. A fixer's ROI shows up as recovered citations per shipped edit; a tracker's as earlier detection of losses.
Dmitry Dragilev

Dmitry Dragilev

4× acquired founder: Polar Polls → Google (2014), JustReachOut → SEOJet (2020), Smallbiz.Tools → Semrush (2023), SERP Gap Analyzer — the #1 top-performing app in the Semrush App Center → Semrush (2025). Contributor to Forbes, TechCrunch, WIRED, and Moz since 2009. More at criminallyprolific.com.