Best LLM Visibility Software in 2026: 7 Tools Tested Against What Actually Matters

Your customer asks ChatGPT for the best tool in your category. It names three brands. You’re not one of them.

You never see that moment. Your rank tracker still says you’re on page one.

Traditional SEO measures ten blue links. Millions of buyers now skip them. They ask ChatGPT, Perplexity, Gemini, and DeepSeek, then act on one synthesized answer. If your brand isn’t in that answer, you don’t exist for that buyer.

That’s why LLM visibility software is the must-have tool category for 2026. It shows you what AI says about your brand before your customers hear it. This guide covers the metrics that matter, seven tools worth your time, and a free way to test before you pay.

Editor’s note: AI visibility pricing moves fast. Figures below come from vendor pages and third-party reviews checked in 2026. Confirm before you buy.

Key Metrics Every LLM Visibility Tracking Software Must Track

A dashboard full of charts means nothing if the numbers are wrong. Demand these four.

• Brand Mentions. How often an AI model names you in answers to your target prompts. This is your baseline.
• Citation Rate. How often the model links to or sources your content. A mention without a citation is fragile. A citation means the model trusts your page.
• Sentiment Analysis. Is the model positive, negative, or neutral about you? A mention that calls your product “outdated” hurts you.
• Answer Share of Voice (ASoV). Your mentions divided by all brand mentions across your tracked prompts. It’s the one number your CFO will understand, because it shows you against competitors.

Also check three things behind the metrics:

• Engine coverage. Does the tool track the models your buyers use?
• Prompt volume. Does the plan cover enough questions?
• Repeat sampling. AI answers vary run to run. One snapshot is an anecdote. Many runs make data.

The Best LLM Visibility Software in 2026

1. Dageno AI: Best Overall

Most tools stop at the dashboard. Dageno AI doesn’t.

It pairs prompt monitoring with practical GEO workflows and citation gap analysis. You see which domains and content types the models cite, then which assets build authority and which ones help your competitors. The platform analyzes the domains, content types and source structures that AI models actually cite. moge

What stands out:

• Citation gap analysis shows where rivals get sourced and you don’t.
• Agent-driven content execution turns gaps into publish-ready drafts.
• SEO and AI data in one dashboard. You don’t juggle two tools.
• Coverage of ChatGPT, Perplexity, Claude, Gemini, Grok, and Google AI Overview. stork
• White-label dashboards for agencies.

Pricing: There’s a free tier. Published paid prices conflict across sources. One review lists Starter at $79/mo, Growth at $199/mo, Scale at $499/mo, plus custom Enterprise. Others quote lower entry points. Check the vendor’s pricing page. makerstack

The catch: Credit-based pricing needs translation work to estimate real cost per question. Run the math before you commit. makerstack

Verdict: The best pick if you want to fix your visibility, not just watch it.

2. MentionBird: Best for SaaS and Agencies

MentionBird is built for people who manage more than one brand.

Its strengths:

• Workspace management keeps clients and brands separate. Agencies and in-house teams can manage multiple brands and report visibility over time. moge
• Multi-country targeting lets you test how answers change by market.
• Ranked content fixes. For each prompt, it provides AI Ranking Advice, with recommended actions such as content creation, page improvements, or backlinks. You get a to-do list, not a mystery. capterra
• Broad engine coverage. It tracks ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Grok, Microsoft Copilot, and DeepSeek. saasworthy

Pricing: The Starter plan runs $79 per month and includes 100 prompt runs a day. getapp

Verdict: Pick it if you run client work or a multi-product SaaS and need clean workspaces and clear priorities.

3. Profound: Best for Enterprises

Profound is the heavyweight. It pioneered enterprise AI search intelligence, and the money shows. It raised a $180 million Series D at a $1.8 billion valuation in September 2026. pinggy

What you get:

• Nine engines tracked, including ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, Meta AI, DeepSeek, and AI Overviews. rankai
• Deep prompt analytics for large query sets.
• Marketing operations automation for big teams.

Pricing changed. The $99 Starter and $399 Growth plans disappeared from its brand pricing page. It now lists a 7-day trial and custom Enterprise pricing. Older “from $99” claims are stale. pinggy

Verdict: Choose it when AI visibility is a board-level topic and you have budget and process to match. Small teams will find it heavy.

4. Otterly.AI: Best Affordable Option

Otterly.AI is the entry ticket. It starts at $29/mo. Published plans run from $29 to $489 per month, with a 15 percent annual discount and enterprise from $1,000 per month. ud

Why small businesses like it:

• Competitor share-of-voice tracking without a sales call.
• Basic brand mention monitoring that’s easy to set up.
• Transparent pricing. Rare in this category.

The trade-off: it’s a monitor, not an optimizer. One review tags it “Monitoring Only.” Engine coverage is also narrower on the cheapest plan. One source says Claude and Grok are add-ons. shiprocket

Verdict: The smartest starting point if you want an AI search visibility tracker without a big commitment.

5. SearchEye: Best for Finding Who Shapes the Answer

AI models don’t invent opinions about you. They borrow them from third-party articles, reviews, and listicles.

SearchEye links prompt monitoring to those outside articles shaping AI answers. You see what the model says, then the pages behind it. That points your PR and outreach at the sources that move the needle.

I couldn’t verify SearchEye’s pricing or engine list from public sources. Ask the vendor for both before you plan a budget.

Verdict: A strong fit for teams that win through digital PR and link outreach.

6. RadarKit: Best for Local and Geo-Specific Tracking

Answers change by location. A buyer in Lahore may see different brands than one in London.

RadarKit targets that gap. Its standout feature is real-user 4G proxy tracking down to city level, which means you test from the networks and places real people use. It’s an early-stage player. The company says it prompts all the LLMs daily about a brand’s keywords. barchart

I couldn’t confirm the proxy detail or pricing from independent sources. Treat those as vendor claims and test them in a trial.

Verdict: Worth a look if local intent drives your revenue.

Quick Comparison Table

What Real Marketers Say

Spend an hour on marketing forums like Reddit and a pattern shows up fast.

Measuring AI visibility is a black box. Models give different answers to the same question. They update without notice. No vendor sees inside them.

Marketers know it. The sharper ones also draw a different conclusion: imperfect data beats no data.

• Trend lines matter more than single readings.
• Repeated sampling smooths the noise.
• Competitors who start now learn faster.

Wait for perfect measurement and you hand the first-mover advantage to someone who didn’t. Even vendors admit the field is young. One review of Dageno says measurement methodology still varies between platforms. makerstack

Note: I haven’t cited specific threads here. Search the relevant subreddits and read recent posts yourself.

How to Choose and What to Do Next

Don’t buy on a demo. Test first. You can do it for free.

Run a 20-30 question audit:

1. Write 20-30 real buyer questions. Use sales call notes, support tickets, and “best X for Y” phrases.
2. Mix the intent. Include comparisons, “alternatives to [competitor]”, pricing questions, and problem-first queries.
3. Ask each question in ChatGPT, Perplexity, Gemini, and DeepSeek. Use a fresh session.
4. Log the results in a spreadsheet: mentioned or not, cited or not, sentiment, and which competitors appear.
5. Repeat three times across a few days to see how stable the answers are.
6. Calculate your baseline. Mentions divided by total brand mentions gives your starting ASoV.
7. Note the cited sources. The same domains will keep showing up. Those are your targets.

Then match the tool to the gap:

• Want cheap monitoring? Start with Otterly.AI.
• Want fixes, not just data? Try Dageno AI.
• Manage clients or many brands? Test MentionBird.
• Need enterprise scale? Book a Profound demo.
• Need source-level or local detail? Trial SearchEye or RadarKit.

Before you pay, check four things:

• Which engines the plan actually covers
• How many prompts, projects, and markets you get
• Whether the tool tells you what to do next
• Whether you can export your data

Most GEO tools offer a trial or free tier. Use it. A tool that can’t beat your spreadsheet audit doesn’t deserve your card.

The Bottom Line

LLM visibility tracking software isn’t optional anymore. Buyers form opinions inside AI answers, and those answers don’t show up in your analytics.

Start with the free audit this week. Pick a tool next. Track mentions, citations, sentiment, and ASoV every month.

The brands that measure now will own the answers later.