Best LLM Visibility Tools in 2026: 10 Trackers Compared

The best LLM visibility tools in 2026 are GrackerAI, Peec AI, Profound, Otterly.AI, Scrunch AI, AthenaHQ, Semrush, Ahrefs Brand Radar, LLM Pulse and Rankscale. Each one runs buyer prompts through AI engines like ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI Overviews, then reports how often your brand is mentioned or cited. They differ on engines included, refresh cadence and whether they help you fix what they find.

Key Takeaways

• LLM visibility measures how often, where and how favorably AI engines name or cite your brand across a fixed set of buyer prompts.
• AI answers are unstable. Report frequency across many runs, broken out per engine, instead of a single “rank”.
• Reporting tools show where you stand. Optimization tools also explain why you lost a prompt and help close the gap.
• Most entry plans run from $29 to $300 a month on published pricing (Rankscale lists $17 billed yearly). Engine coverage and refresh cadence matter more than the headline price.
• Pick by team type: SEO suite users, lean marketing teams, agencies and enterprise brands each have a clear best fit below.

What is LLM visibility?

LLM visibility is the share of relevant AI answers in which your brand appears. A buyer asks ChatGPT “what are the best SIEM tools for a mid-size company”, and the model either names you, cites your page as a source, names a competitor, or leaves you out. Across hundreds of such prompts, that pattern is your LLM visibility.

It matters because buyers act on the answer without clicking. In a Pew Research Center study of 900 US adults, users clicked a traditional result on 8% of Google visits that showed an AI summary, against 15% when no summary appeared, and clicked a link inside the summary only 1% of the time. If the answer is where the decision gets made, you need a way to see that answer at scale.

How is LLM visibility measured?

Good LLM visibility reporting tracks five metrics. Treat any tool that reports only one of them as a partial view.

1. Mentions. The share of tracked prompts where the engine names your brand in its answer. This is the core visibility rate.
2. Citations. The share of answers that link to your domain as a source. A brand can be mentioned without being cited, and a page can be cited without the brand being recommended. Citation tracking shows which domains each engine relies on.
3. Share of voice. Your mentions or citations as a percentage of all brand mentions on the same prompts. This is the competitive number. Our guide on how to measure AI share of voice walks through the math.
4. Position. Where you appear in a list of recommendations. First and fifth are not the same outcome.
5. Sentiment and accuracy. Whether the engine recommends you, lists you neutrally or adds caveats, and whether the facts it states about you are correct.

All five should be reported per engine. ChatGPT, Perplexity and Google AI Overviews draw on different sources, so a blended score can hide a strong result on one engine and a gap on another.

Why one run tells you almost nothing

AI answers are not stable. In research by SparkToro and Gumshoe.ai, covered by Search Engine Journal, ChatGPT and Google’s AI in Search had less than a 1 in 100 chance of returning the same brand list across repeated runs of the same prompt, and the same list in the same order appeared less than 0.1% of the time. The study ran 2,961 prompts across ChatGPT, Claude and Google AI Overviews or AI Mode.

Two practical rules follow. First, frequency across many runs is a more honest metric than position in one run. Second, keep the prompt set fixed between checks, or you are comparing different questions. When you evaluate a tool, ask how many times each prompt runs per period and whether it reports averages or single snapshots.

What is an LLM visibility score?

An LLM visibility score rolls these metrics into one number. GrackerAI’s AI Visibility Score, for example, combines mention frequency, citation sentiment, recommendation position and source attribution, measured against competitors. Every vendor weights its score differently, so a 62 in one tool is not a 62 in another. Use the score for trend lines inside one tool, and use the underlying mention and citation rates when you compare tools or report to leadership.

What separates LLM reporting tools from optimization tools?

Every tool on this list monitors. The split is what happens after the report.

Reporting and monitoring tools answer “where do we stand?” They run prompts, capture answers and report mentions, citations, share of voice and sentiment over time. They fit teams that already have writers and an SEO process, and only need the measurement layer.

Optimization tools also answer “why did we lose, and what do we change?” That usually means three extra capabilities:

• Diagnosis. For a prompt you lost, show the competitor page the engine cited and how your nearest page compares.
• Technical audit. Check whether AI crawlers can render and parse your pages (client-side rendering, schema, blocked paths).
• Content production. Turn the gap into a brief or a draft page.

Neither type is better in the abstract. A reporting tool plus a strong content team works. A reporting tool with no one assigned to act on it produces a dashboard nobody uses.

The best LLM visibility tools in 2026

Prices below come from our AI visibility tool pricing comparison, read from each vendor’s own pricing page on 5 Nov 2026. Engine and cadence details for Otterly.AI, Scrunch AI and AthenaHQ were checked on their pricing pages on 6 Nov 2026. Plans change often, so confirm before you buy.

1. GrackerAI

Disclosure: GrackerAI publishes this guide, so weigh its placement accordingly.

Best for: B2B SaaS and technical teams (cybersecurity, DevTools, DevOps) that want monitoring and the fix in one product.

Pricing: Individual $99/mo ($79 billed annually), 100 prompts tracked weekly on 3 engines (ChatGPT, Google AI Mode, Google AI Overviews). Team $499/mo ($399 annually), 200 prompts tracked daily on 4 engines (ChatGPT, Perplexity, Google AI Mode, Microsoft Copilot). Enterprise is custom, covers all 10 engines (adding Gemini, Claude, DeepSeek, Grok and Brave Leo) and monitors 1,000+ prompts hourly. 7-day free trial.

Reporting: Prompt monitoring per engine, citation source mapping, competitor share of voice, and brand sentiment with fact checks on what engines say about you.

Beyond reporting: Visibility Diagnosis matches a lost prompt to your page and shows the competitor page that was cited. AEO Audit grades whether your pages are machine-readable, and built-in articles close the gap.

Watch out for: Individual covers 3 engines and runs weekly, so Perplexity and Copilot need Team. There is no backlink or rank-tracking suite.

2. Peec AI

Best for: marketing teams that want clean, self-serve daily reporting with unlimited seats.

Pricing: Starter $95/mo (50 prompts), Pro $245/mo (150), Advanced $495/mo (350), Enterprise custom.

Strengths: Daily tracking on every plan, unlimited users, simple dashboards that are quick to read.

Watch out for: self-serve plans track only 3 active models of 6, and the API and Data Studio connector start at Advanced ($495). No free trial is stated.

3. Profound

Best for: large brands that want a sales-led enterprise platform.

Pricing: free 7-day trial (50 fixed prompts run daily on 3 engines), then custom Enterprise. No paid self-serve price is published.

Strengths: Enterprise depth, up to 9 engines, and marketing agents on top of monitoring.

Watch out for: you cannot buy it without a sales conversation, which slows small-team evaluations.

4. Otterly.AI

Best for: small teams and agencies that want the lowest published entry price.

Pricing: Lite $29/mo (15 prompts), Standard $189/mo (100), Premium $489/mo (400), Enterprise from 1,000 prompts.

Strengths: Otterly’s pricing page lists daily tracking on ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. Unlimited seats and brands, plus GEO URL audits on higher plans.

Watch out for: Google AI Mode, Gemini and Claude are paid add-ons, and 15 prompts on Lite is a small sample given how much answers vary.

5. Scrunch AI

Best for: marketing teams that want persona-based prompt sets and broad engine coverage at a published mid-tier price.

Pricing: Starter $250/mo billed annually ($300 monthly, 350 prompts), Growth $417/mo annually ($500 monthly, 700 prompts), Enterprise custom. 7-day trial, no card.

Strengths: Scrunch’s pricing page lists ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews and Meta on every plan. Includes 1,000+ industry prompts and AXP, its AI-ready site layer.

Watch out for: refresh cadence is not stated on the pricing page, and it does not say which tiers include AXP.

6. AthenaHQ

Best for: teams that want a free starting point and wide engine coverage.

Pricing: Essential free (300 credits), Starter $295/mo (3,600 credits), Enterprise custom.

Strengths: AthenaHQ’s pricing page lists 5 engines on the free plan and 11 on Starter, including Claude, Grok, DeepSeek, Meta AI and Mistral.

Watch out for: usage is metered in credits (1 credit = 1 AI response), so spend depends on volume, and cadence is not stated.

7. Semrush (AI Visibility Toolkit)

Best for: teams already on Semrush that want LLM visibility next to keyword and backlink data.

Pricing: $99/mo toolkit with 25 prompts and 1 domain on 4 engines. Extra prompts cost $60 per 50.

Strengths: One login for SEO and AI reporting.

Watch out for: 25 prompts is thin for a statistically steady view, and per-plan engine coverage is not fully specified.

8. Ahrefs Brand Radar

Best for: Ahrefs users who want market-level share of voice from a large prompt database.

Pricing: $199/mo add-on. Custom prompts cost $50 to $250/mo, billed per check.

Strengths: Category research across AI platforms without writing your own prompt list.

Watch out for: included custom prompt tracking is small, so tracking your own buyer questions costs extra.

9. LLM Pulse

Best for: small teams and agencies that want a low-cost weekly tracker with unlimited seats.

Pricing: weekly plans from EUR 49/mo (Starter, 50 prompts). Daily tracking costs more. 14-day trial on weekly plans.

Watch out for: 5 engines on every plan; Claude, Copilot and Grok are paid add-ons.

10. Rankscale

Best for: budget-conscious agencies that want many engines on a credit model.

Pricing: Essentials $17/mo billed yearly, Pro $99/mo ($84 annually), up to Enterprise $780/mo.

Strengths: 17+ engines on every plan and per-brand dashboards.

Watch out for: no fixed prompt count, so you have to estimate spend.

LLM visibility tools comparison table

Tool	Entry price	Engines at entry	Refresh cadence	Monitoring vs optimization
GrackerAI	$99/mo ($79 annual)	3 (4 on Team, 10 on Enterprise)	Weekly; daily on Team; hourly on Enterprise	Monitoring + diagnosis, AEO audit, content
Peec AI	$95/mo	3 chosen of 6	Daily	Monitoring and reporting
Profound	Free trial; Enterprise custom	3 on trial, up to 9	Daily on trial	Monitoring + marketing agents
Otterly.AI	$29/mo	4 (3 more as add-ons)	Daily	Monitoring + GEO URL audits on higher plans
Scrunch AI	$250/mo annual ($300 monthly)	7 listed	Not stated	Monitoring + AXP site layer
AthenaHQ	Free; Starter $295/mo	5 free, 11 on Starter	Not stated	Monitoring, credit-metered
Semrush	$99/mo toolkit	4	Not stated	Monitoring inside SEO suite
Ahrefs Brand Radar	$199/mo add-on	All major AI platforms	Database plus per-check custom prompts	Market research and share of voice
LLM Pulse	EUR 49/mo	5	Weekly; daily costs more	Monitoring
Rankscale	$17/mo billed yearly	17+	Credit-based	Monitoring

“Not stated” means the vendor’s pricing page did not list a cadence when checked. Ask in the demo.

How to choose an LLM visibility tool by team type

Lean in-house marketing team (1 to 3 people). You need numbers you can act on without an analyst. Pick a tool with a fixed prompt set of at least 50 to 100 prompts and per-engine views. If nobody on the team writes content full-time, favor a tool with diagnosis and content built in. GrackerAI Individual or Peec AI Starter are the natural starting points.

SEO team already on a suite. If Semrush or Ahrefs is your daily tool, their AI add-ons keep reporting in one place. Check prompt limits first: 25 included prompts is enough for a pilot, not for a quarterly board report.

Agency reporting for many clients. Unlimited seats and per-brand projects matter most. Otterly.AI, LLM Pulse and Rankscale are built around that model. Confirm add-on engine pricing per client before you quote.

Enterprise brand with many products. You need all major engines, high prompt volume, frequent refresh and governance. Shortlist Profound, GrackerAI Enterprise and Scrunch AI Growth, and ask each to run the same 50 prompts for a week.

B2B SaaS and technical categories. Buyer prompts are specific (“SOC 2 automation for a 50-person startup”), and generic prompt libraries miss them. GrackerAI’s vertical prompt library is deepest for cybersecurity. For a SaaS-specific shortlist, see our best AI visibility tools for B2B SaaS.

Whatever you pick, run a one-week test: load the same 20 to 30 deal-linked prompts into two tools, compare mentions and citations per engine, and check whether either tool tells you what to change.

Frequently Asked Questions

What is an LLM visibility tool?

An LLM visibility tool runs a fixed set of buyer prompts through AI engines such as ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot and Google AI Overviews on a schedule, then reports how often your brand is mentioned or cited, where it appears in the answer, the tone used and which competitors appear instead.

What is an LLM visibility score?

An LLM visibility score is a composite number that summarizes how visible your brand is in AI answers. Most tools build it from mention rate across tracked prompts, citation rate, position in the answer and sentiment, then compare it with competitors. Scores are not standardized, so compare them only within one tool and one prompt set.

What is the difference between LLM visibility monitoring and optimization tools?

Monitoring tools report mentions, citations, share of voice and sentiment. Optimization tools add the next step: they show why a competitor was cited instead of you, audit whether your pages are readable by AI engines and help produce content that closes the gap. Some teams pair a monitoring tool with their own content team; others want both in one product.

How often should LLM visibility be tracked?

Weekly is enough for most teams to see trends, as long as the prompt set stays fixed between runs. Daily tracking helps in competitive categories or during launches, and hourly tracking is mainly an enterprise need. Because AI answers vary between runs, more frequent runs also give a steadier average.

Which LLMs should I track?

Start with the engines your buyers use: usually ChatGPT, Google AI Overviews and AI Mode, and Perplexity. Add Microsoft Copilot if you sell to Microsoft-heavy enterprises, and Gemini, Claude, Grok or DeepSeek as budget allows. Report each engine separately, because each one draws on different sources.

How much do LLM visibility tools cost?

On published pricing read on 5 Nov 2026, most entry plans run from $29 a month (Otterly.AI Lite) to $300 a month (Scrunch AI Starter, billed monthly), and Rankscale lists $17 a month billed yearly. GrackerAI starts at $99 a month, Peec AI at $95, and Profound and BrightEdge are sales-led with no published paid price.

Next step

See where your brand stands before you buy anything. Run the free AI visibility check on your category, or start a 7-day GrackerAI trial to track your own prompts across engines and see why competitors get cited instead. Compare plans on the pricing page.