AI visibility tools compared: features, gaps, and recommended stacks

TL;DR. AI visibility tools sit on a spectrum from $29/month monitoring (Otterly) to $499+/month enterprise platforms (Profound, AthenaHQ). They diverge on three things: how many answer engines they cover, whether they track brand mentions and website citations separately, and what they do beyond a dashboard. Pick the smallest tool that covers your engines, fits your prompt budget, and integrates with your existing reporting.

Quick verdict

• Best enterprise depth: Profound — broadest engine coverage and a 400M+ user-conversation prompt corpus.
• Best mid-market UX: Peec AI — clean dashboards, sentiment built-in, fast onboarding.
• Best budget pick: Otterly.AI — affordable monitoring plus a built-in GEO audit.
• Best for self-service SMBs scaling up: AthenaHQ — credit-based pricing scales with prompts.
• Best brand-safety lens: Evertune — sentiment and reputation monitoring focused on brand teams.
• Best GEO action layer: Scrunch AI — gap detection, site audits, AI referral analytics.
• Best add-on inside an SEO suite: Semrush AI Visibility Toolkit or Ahrefs Brand Radar.

If you only have time for one decision: pick the cheapest tool that covers every engine your buyers use, then layer execution on top.

What "AI visibility" actually measures

There are three measurement objects, and tools differ in which they track:

1. AI Overview / answer-box appearance — does Google AI Overviews or Bing/Copilot show an answer for this query, and does your URL appear?
2. LLM answer presence — when you query ChatGPT, Perplexity, Claude, or Gemini, is your brand mentioned in the response text?
3. Source citations — does the AI explicitly cite your domain as a source, with a clickable link?

Mature stacks track all three. Conductor is one of the few platforms that splits brand mentions (conversational share of voice) from website citations (authority of your URLs) as distinct metrics — a distinction we recommend you replicate in your own dashboards regardless of vendor.

Key feature differences

Pricing reflects publicly listed entry tiers as of April 2026 and frequently changes — verify with the vendor before buying.

When to use which

When to use Profound

Choose Profound when you need the widest engine coverage in one place and your team will run hundreds to thousands of prompts per month. Its Conversation Explorer, built on 400M+ real user conversations, is the largest prompt-intelligence dataset in the category — useful when you need to discover real buyer questions, not synthetic ones. The cost per prompt is high at lower tiers, so Profound makes sense once you commit to AI search as a primary channel.

When to use Peec AI

Choose Peec AI when a small marketing team needs clean dashboards, share-of-voice charts, and built-in sentiment without a long onboarding. Peec covers six major engines, which is enough for most B2B SaaS use cases, and its UX is the most approachable in the category. It is a monitoring tool — pair it with content execution help if you need recommendations or rewrites.

When to use Otterly.AI

Choose Otterly.AI when you are bootstrapping AI visibility on a small budget. Its keyword-to-prompt feature converts existing SEO target keywords into LLM prompts, so you can reuse SEO target lists. The bundled GEO audit gives a starting list of on-page fixes. It is the right starter pick for freelancers and SMBs.

When to use AthenaHQ

Choose AthenaHQ when you want self-service GEO automation with credit-based scaling. It is a fit for small teams that prefer a workflow-driven product over a static dashboard, and the credit model lets you scale prompt volume without jumping plan tiers. Note the lack of SOC 2 may rule it out for regulated buyers.

When to use Evertune

Choose Evertune when the buyer is a brand or PR team rather than an SEO team. Its lens is reputation: sentiment, brand safety, and unlinked mention monitoring across forums and social. It will not give you the granular URL-level citation tracking that Profound or Peec do, but it will tell you how AI talks about you.

When to use Scrunch AI

Choose Scrunch AI when you want a tool that tells you what to fix, not just what is broken. It surfaces content gaps, runs site audits to flag pages AI cannot read, and connects to Google Analytics so you can see AI referral traffic and conversions in one place.

When to use Semrush or Ahrefs add-ons

If your team already lives in Semrush or Ahrefs, the simplest move is the Semrush AI Visibility Toolkit (bundled into Semrush One at ~$165/mo) or Ahrefs Brand Radar (~$129/mo + $199 per AI index). You trade depth for one less tool to administer. These are best for SEO teams who treat AI visibility as a secondary metric rather than a primary channel.

Common gaps across the category

• Prompt-volume caps are the real constraint — most entry plans only cover 50-200 prompts/month, far below what enterprise GEO programs need.
• Export and API access are typically gated to higher tiers, which limits BI integration.
• Hallucination detection is rare; most tools log mentions but few flag factual errors about your brand. Test this before buying.
• Action layer — most tools diagnose but do not fix. Plan for separate content, schema, and authority-building workflows.
• Ground-truth volatility — LLM answers shift with prompt phrasing. Validate that your tool reports both mention rate and prompt sensitivity.

Recommended stacks by stage

Stage 1: Solo founder or single marketer (<$100/month)

• Otterly.AI for tracking + basic GEO audits.
• Google Search Console for AI Overview impressions where Google reports them.
• A spreadsheet or Notion database to log monthly mention rate and citation count.

Stage 2: Mid-market team ($100-$500/month)

• Peec AI as the core dashboard.
• Scrunch AI or a managed GEO audit service to translate insights into fixes.
• Existing SEO suite (Semrush or Ahrefs) for keyword and backlink data — do not double-pay for AI tracking inside it unless you need it.

Stage 3: Enterprise GEO program ($1,000+/month)

• Profound for engine breadth and prompt intelligence.
• Conductor or HubSpot AEO for API-first integration with your CMS and CRM.
• Evertune if a separate brand or PR team owns reputation reporting.
• A custom data warehouse layer (BigQuery, Snowflake) fed by tool exports for unified KPIs.

No matter the stage, keep your own ground-truth log: a list of priority prompts re-run weekly so you can sanity-check vendor numbers.

How to evaluate a vendor in 30 minutes

1. List your top 25 buyer questions.
2. Ask the vendor to show those exact prompts, not their canned demo prompts.
3. Verify whether the dashboard separates mentions from citations.
4. Check whether sentiment is a real classifier or a regex on "good/bad."
5. Confirm prompt-volume cap, export format, and API rate limits in writing.
6. Ask how they handle prompt-sensitivity (do they re-run with rephrasings?).
7. Confirm engine coverage matches your buyers, not just a long list.

FAQ

Q: What is the cheapest credible AI visibility tool in 2026?

Otterly.AI starts around $29/month and is the most-cited budget option among 2026 listicles. It covers ChatGPT, Perplexity, AIO, AI Mode, Gemini, and Copilot, and includes a GEO audit feature. It is the right starting point for solo marketers and SMBs.

Q: Do I still need an SEO tool if I buy an AI visibility platform?

Yes. Traditional SEO suites cover keyword rankings, backlinks, and crawl issues that still drive AI citations indirectly. AI visibility tools layer on top of — not replace — Semrush, Ahrefs, or SE Ranking. Treat AI visibility as a new measurement axis, not a new SEO program.

Q: What is the difference between brand mentions and website citations?

A brand mention is when an AI references your brand name in the answer text. A website citation is when the AI links to your URL as a source. Mentions measure conversational share of voice; citations measure content authority. Conductor and a few others split the two — most tools collapse them, which can hide weak content even when brand awareness is high.

Q: Can I just use ChatGPT itself to check if it cites me?

You can spot-check by running buyer questions in ChatGPT Search, but you will not get systematic data. Tools like Profound, Otterly, and Peec automate hundreds of prompts, log results over time, and benchmark you against competitors — work that is impractical to do manually.

Q: How many prompts should I track per month?

For a single-product SMB, 50-100 priority prompts is enough to find trends. Mid-market B2B usually needs 200-500. Enterprise programs that track multiple product lines and competitor sets often run 1,000-5,000 prompts/month. Match plan tier to that volume — most overspend by buying for prompts they do not run.

Q: Are AI visibility tools accurate?

They are directionally accurate but sensitive to prompt phrasing. The same question worded two ways can produce different mention rates. Always re-run priority prompts manually to validate vendor numbers, and look for tools that publish their re-run methodology rather than reporting a single point estimate.