Best AI Search Visibility Checkers & Audit Tools 2026

If you're still measuring success by page-one rankings, you're optimizing for a search experience that's rapidly losing share. In 2026, a growing chunk of discovery happens before a user ever sees a blue link — inside AI-generated answers that synthesize sources, name brands, and recommend solutions without clicking out to anyone.

Free Checks, Free Audits & Trial Options

Before committing to a paid platform, here's how to get a real picture of your current AI search visibility at zero cost:

Free one-time checks (good for quick validation)

• HubSpot AI Search Grader — free brand visibility snapshot across ChatGPT, Gemini, and Perplexity; no account needed
• SEO.com AI Overview Checker — free spot checks for Google AI Overviews; shows whether your domain is cited in real AIO results
• Adamigo AI Search Grader — free brand-level AI visibility score with basic competitor comparison

Free trials (best for running a real audit on 50–200 keywords)

• Amadora AI — 7-day free trial; full platform access including Agency Dashboard, Brand Kit, Action plans and multi-platform tracking
• Otterly.AI — 14-day free trial; includes GEO audit and SWOT report
• Peec AI — 14-day free trial; full multilingual tracking
• SE Ranking — trial available; AI Overviews tracking and AI chat monitoring included

Recommended "trial audit" approach

1. Run a free checker (HubSpot or SEO.com) on your top 10–15 commercial keywords to confirm the gap is real
2. Use a free trial (Amadora AI or Otterly.AI) to track 50–200 keywords over 7–14 days and build a baseline
3. Export baseline data and decide whether your team needs a DIY platform, an agency-run program, or both

Best AI Search Visibility Checkers & Audit Tools

Below is a detailed breakdown of the leading tools across the full spectrum — from free one-click checkers to enterprise-grade audit platforms.

1. Amadora AI

What it does?

Amadora AI is a GEO optimization platform that doesn't just track your AI search visibility — it tells you exactly what to do to improve it. For every prompt you track, Amadora AI can generate a detailed, step-by-step AI Search Optimization Plan: a per-prompt action guide that breaks down precisely what changes to make to your content, citations, and entity signals to improve your visibility for that specific query across AI engines.

Beyond optimization plans, it tracks brand visibility across all major AI search engines — ChatGPT, Perplexity, Gemini, Google AI Mode, Microsoft Copilot, and Grok — giving agencies and multi-brand teams the dashboards, trend data, and workflow tools to manage that visibility at scale.

Why teams use it?

The answer for most agencies is straightforward: Amadora AI is the only platform in this list that combines accurate tracking and tells you what to do about what it finds.

The AI Search Optimization Plans feature generates a detailed, per-prompt action plan — a step-by-step guide to improving your visibility for that specific query — so your team always has a clear next action, not just a dashboard to stare at. At 100 credits per plan, you can generate targeted optimization roadmaps for your highest-priority prompts without running a manual audit.

Strengths?

• AI Search Optimization Plans — the only platform that generates per-prompt, step-by-step action guides for improving AI visibility (not just tracking it)
• Real UI scraping delivers up to 50% more accurate data than API-based tools
• 6+ AI platforms tracked including Gemini, Grok, and Microsoft Copilot
• Agency Dashboard — all client brands in one consolidated view
• Daily tracking with trend indicators — Visibility Score, Share of Voice, Average Position, Citation Count
• Brand Kit per client powers topic extraction and optimization plan generation
• Client-shareable read-only dashboards and custom date ranges
• Granular team roles (Admin / Editor / Viewer) with per-project access
• 7-day free trial — no credit card required

Weaknesses?

• No traditional SEO features (keyword rank tracking, backlinks) — purely AI visibility focused
• Newer platform; smaller public review base than established SEO tools
• Pricing not listed publicly — requires contacting the team for plan details

Pricing snapshot?

• Starter: ~$49/mo
• Pro: ~$99–$199/mo
• Agency / Enterprise: Custom — contact sales

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2. HubSpot AI Search Grader

What it does?

HubSpot's AI Search Grader is a completely free, no-account-required tool that scans your brand's presence across ChatGPT, Perplexity, and Gemini. It returns a snapshot report covering mention frequency, how AI systems describe your brand (sentiment), and how you compare against key competitors — all in a shareable format you can put in front of leadership in minutes.

Why teams use it?

It removes every barrier to a first AI visibility audit. No signup, no credit card, no onboarding. Agencies use it as a prospecting tool — running a free report for a prospect, showing them the gap, and building the case for a GEO program from there. In-house teams use it to build the internal business case for AI visibility investment. The output is designed for executives, not analysts.

Strengths?

• Zero cost and zero commitment
• Results in under five minutes
• Clean, executive-friendly output
• Great prospecting tool for agencies
• Works well as a "before" snapshot when starting a GEO program

Weaknesses?

• One-time audit only — no ongoing monitoring
• No optimization guidance or recommended next steps
• Covers only ChatGPT, Perplexity, and Gemini — not Google AI Mode, Copilot, or Grok
• No trend data — just a current state snapshot

Pricing snapshot?

• AI Search Grader: $0 — completely free

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3. SEO.com – AI Overview Checker

What it does?

The SEO.com AI Overview Checker is a free browser-based tool that checks whether a specific keyword triggers a Google AI Overview and whether your domain is cited in it. It fetches live Google results, surfaces the AI-generated answer, and shows which URLs and domains are feeding into it.

Why teams use it?

It turns Google AI Overviews from an abstract threat into a concrete, keyword-level reality. In two clicks, you can see whether your top revenue keyword is being answered by an AI Overview that doesn't mention you — and which competitor content is earning the citation instead. It's also the fastest way to build a "priority keyword list" for a deeper AI visibility audit.

Strengths?

• Fast, simple, and free
• Live Google data — not simulated
• Shows citation sources and domain inclusion clearly
• Perfect for building a shortlist of "problem keywords"

Weaknesses?

• No bulk keyword upload
• No tracking over time — point-in-time only
• Google AI Overviews only — no ChatGPT, Perplexity, Gemini, or other AI platforms
• Daily limit on free checks

Pricing snapshot?

• AI Overview Checker: Free (with daily check limit)

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4. Otterly.AI

What it does?

Otterly.AI monitors brand, competitor, and content mentions across Google AI Overviews, ChatGPT, and Perplexity — automatically and on a recurring basis. Its standout feature is the GEO audit: a SWOT-style analysis that tells you why your brand is or isn't appearing in AI answers for your key topics, and which specific changes to prioritize to improve your position.

Why teams use it?

At $29/mo, Otterly is the most affordable structured GEO tracking tool in the category. It's earned a 4.9/5 on G2 and a Gartner Cool Vendor 2025 recognition by delivering genuinely useful audit outputs — not just dashboards. A documented win: Bacula Enterprise used Otterly's GEO audit recommendations to reach the #1 position in ChatGPT for "best HPC backup software." The AI Keyword Research feature, which auto-converts your existing SEO keywords into AI-style prompts, is particularly useful for teams new to prompt-based tracking.

Strengths?

• Most affordable entry point in the category ($29/mo)
• 4.9/5 on G2 — among the highest user satisfaction scores in the category
• GEO audit produces a SWOT report with prioritized recommendations
• AI Keyword Research tool converts SEO keywords into AI prompts automatically
• Semrush App Center integration for existing Semrush users
• Gartner Cool Vendor 2025

Weaknesses?

• Monitoring frequency is weekly (not daily) on Lite and Standard plans
• Covers only ChatGPT, Perplexity, and Google AI Overviews — no Gemini, Grok, or Copilot
• Prompt-based pricing means costs scale sharply if you need to track many queries
• No brand sentiment scoring

Pricing snapshot?

• Lite: $29/mo (15 prompts)
• Standard: $189/mo (100 prompts)
• Premium: $489/mo (400 prompts)

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5. SE Ranking – AI Visibility & AI Overviews Tracker

What it does?

SE Ranking's AI Visibility module adds Google AI Overviews tracking and AI chat platform monitoring (ChatGPT, Gemini, Perplexity) to its core SEO platform. It shows which keywords trigger AI Overviews, whether your domain is cited in those answers, and how that data compares with your traditional organic rankings — all within SE Ranking's existing project and reporting structure.

Why teams use it?

If your team already runs on SE Ranking for keyword tracking, site audits, and client reporting, the AI Visibility module switches on with no new workflow overhead. Your existing keyword lists, projects, and client dashboards automatically gain AI search data alongside classical SEO metrics. Agencies particularly value that AI Overviews data appears in the same reports clients already receive.

Strengths?

• Zero migration effort for existing SE Ranking users
• AI Overviews data integrated directly into existing keyword and SERP reports
• Agency-friendly export and white-label reporting
• Estimates traffic impact from AI snippets — useful for client reporting

Weaknesses?

• AI Overviews coverage is primarily Google-focused; other platforms are newer and less mature
• Less depth for dedicated GEO workflows than purpose-built platforms
• Not the right choice if you're evaluating from scratch — the value is in the integration, not the AI features alone

Pricing snapshot?

• Essential: from ~$50/mo
• Pro: from ~$95/mo
• Business: from ~$200/mo

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6. Profound AI

What it does?

Profound is the G2 Winter 2026 AEO Category Leader and the platform of choice for enterprise brands like MongoDB, Ramp, and Figma. It tracks brand and content performance across 10+ AI engines, surfaces real user demand data through 400M+ user prompts (Conversation Explorer), and includes Agent Analytics to show how AI crawlers interact with your content. It combines visibility tracking with AI content workflows so teams can both measure gaps and act on them.

Why teams use it?

Enterprise teams choose Profound when they need the highest data volume, the broadest platform coverage, SOC 2 and HIPAA compliance, and a dedicated AI strategist who owns program outcomes alongside the internal team. Its "read/write" model — tracking visibility and producing content to improve it in one platform — reduces the tool stack complexity that enterprise GEO programs often create.

Strengths?

• Broadest AI platform coverage in the category (10+ engines including Claude, DeepSeek, and regional AI)
• G2 Winter 2026 AEO Category Leader
• Conversation Explorer: 400M+ real user prompts for demand intelligence
• SOC 2 Type II and HIPAA compliant — required for regulated industry procurement
• GA4 integration for AI-originated traffic and conversion attribution
• Dedicated AI strategist support at enterprise tier

Weaknesses?

• Expensive — meaningful use starts at $399/mo; enterprise pricing via sales
• No free trial — requires a sales conversation to access
• Complex for teams that just need straightforward ongoing monitoring

Pricing snapshot?

• Starter: $99/mo (limited)
• Growth: $399/mo
• Agency Growth: $1,499/mo
• Enterprise: Custom

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7. Peec AI

What it does?

Peec AI tracks brand visibility, position, and sentiment across AI-powered search platforms in 115+ languages across major markets. It uses real UI scraping — not API calls — to capture what real users actually see in each market, and adds sentiment analysis to track not just whether your brand appears, but how AI systems describe it. Launched in early 2025, it closed a $21M Series A by November 2025 after reaching €650K ARR in its first four months.

Why teams use it?

For brands operating across multiple languages and markets, Peec is the only platform that tracks AI visibility at the true geographic level. Documented customer outcomes include Wix achieving 5x LLM traffic growth year-over-year, and Merge seeing 5x LLM-driven demo requests — both driven by insights from Peec's tracking data.

Strengths?

• 115+ languages — unmatched multilingual coverage in the category
• Real UI scraping for data accuracy across markets
• Sentiment tracking: not just mentions but how favorably you're described
• Strong documented outcomes (Wix, Merge)
• $21M Series A backing — fast product iteration

Weaknesses?

• Monitoring only — no built-in content creation or technical optimization tools
• Newer platform with a still-developing review base
• Less suited for single-market English-only use cases where competitors offer more features at lower prices

Pricing snapshot?

• Starter: ~$105/mo
• Pro: ~$235/mo
• Enterprise: Custom

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What Is an AI Search Visibility Audit?

An AI search visibility audit is a structured process to answer four questions:

1. For your most important keywords and topics — does AI mention your brand at all?
2. If it does — how does it describe you? Are you positioned as a leader, an alternative, or described with caveats?
3. Who does AI prefer? — which competitor brands and which source domains are AI systems citing instead of you?
4. Where are the gaps? — which topics, prompts, or AI platforms represent the biggest visibility opportunities relative to your competitors?

A well-run audit produces two deliverables: a baseline data set you can measure future progress against, and a prioritized fix list of content, citation, and technical actions ordered by expected impact.

How to Choose the Right Tool (Evaluation Criteria)

Coverage: Which AI Platforms, Which Languages

The first question to ask any tool: which AI surfaces do you actually track? Many tools lead with "AI visibility" and then primarily deliver Google AI Overviews data. For most brands, that's meaningful but incomplete.

Verify coverage across:

• Google AI Overviews
• ChatGPT (with Browse/Search enabled)
• Perplexity
• Gemini
• Microsoft Copilot
• Grok (especially if your audience overlaps with tech and startup communities)

If you operate in non-English markets, language and region support is equally important. Only Peec AI (115+ languages) and Amadora AI offer meaningful non-English-market tracking as a first-class feature.

Data Methodology: Real UI vs. API

Ask directly: does this tool scrape real AI chatbot interfaces, or does it query the LLM API?

API responses can differ from what real users see by up to 50%, and typically contain fewer citation sources. If your competitive benchmarking is built on API data, you're working from a systematically incomplete picture. Platforms using real UI scraping — Amadora AI and Peec AI — produce data that reflects the actual user experience.

Tracking Frequency

Weekly tracking is the minimum for directional trend data. Daily tracking is meaningfully better — LLM responses vary enough minute-to-minute that weekly snapshots can miss meaningful shifts. Amadora AI and Peec AI both offer daily tracking. Otterly.AI is weekly on lower plans.

Agency and Multi-Brand Workflow

If you're managing more than one brand, look specifically for:

• A consolidated dashboard across all brands (not separate logins)
• Client-shareable read-only dashboards
• Team roles and project-level access control
• Per-brand Brand Kits or identity profiles

Amadora AI is the most complete here. Profound's "God View" is strong at enterprise scale.

Actionable Output vs. Data Dashboards

The best tools don't just show you the problem — they tell you what to fix. The GEO audit in Otterly.AI, the Action Center in AthenaHQ, and the trend indicators and competitor benchmarking in Amadora AI all move the platform from "interesting data" to "here's what to do next."

How to Run an AI Search Visibility Audit Step by Step

Step 1: Define Your Top Keywords and Prompts

Start with the keywords that have the highest commercial intent for your business:

• Top revenue-driving terms from GA4 and your CRM
• Bottom-of-funnel queries: "best [category] for [ICP]", "[your brand] vs [competitor]", "alternatives to [competitor]"
• Category definition queries: "what is [your category]", "how to choose [your category] software"

Export 50–200 priority keywords as your initial audit set. This becomes your control group for measuring future visibility improvements.

💡 Pro tip: Don't just use your existing SEO keywords verbatim. AI engines receive natural language questions, not keyword strings. Rephrase your top keywords into the way a real buyer would ask the question in ChatGPT or Perplexity. "best project management software for agencies" → "what's the best project management tool for a 20-person agency?" Tools like Otterly.AI's AI Keyword Research feature can automate much of this conversion.

Step 2: Map Keywords to AI Platforms

Not all queries are equal across AI platforms. Commercial and research-heavy queries tend to perform differently on ChatGPT vs. Google AI Overviews vs. Perplexity. Map your keyword set to the platforms most likely to surface them:

• Google AI Overviews — informational and transactional queries with high Google search volume
• ChatGPT and Perplexity — research, comparison, and "help me decide" queries
• Gemini — queries made within Google search or Google Workspace
• Copilot — enterprise productivity-adjacent queries (especially if your ICP uses Microsoft 365)

Then choose tools accordingly:

• For Google AI Overviews: SE Ranking, SEO.com AI Overview Checker, SEOmonitor
• For ChatGPT/Perplexity/Gemini + multi-platform: Amadora AI, Profound, Otterly.AI, Peec AI

Step 3: Run a Baseline Audit

Inside your chosen platform:

• Upload your keyword/prompt list
• Run an initial scan to collect presence rate, competitor mentions, and citation sources
• Record your Visibility Score and Share of Voice per platform

Export this baseline data. Every future report is measured against it. Without a clean baseline, you can't prove progress — and proving progress is what justifies continued GEO investment.

💡 Operator cue: Log this baseline alongside your pipeline data (trial signups, demo requests, organic traffic) for the same period. When visibility improves over the next quarter, you'll have the data to correlate visibility gains with pipeline movement.

Step 4: Diagnose Gaps and Opportunities

With your baseline data, look for three types of gaps:

Presence gaps — Keywords where you rank well organically but don't appear in AI answers at all. These are your quickest wins; strong organic authority is already a signal AI engines should be responding to.

Competitor citation gaps — Topics where a specific competitor is consistently cited by AI while you're absent. Identify the sources AI is using to justify that citation (usually authoritative review sites, expert blogs, or industry publications) and build toward earning inclusion on those same sources.

Platform gaps — AI platforms where you're strong on one (e.g., Google AI Overviews) but weak on another (e.g., ChatGPT). Platform-specific gaps often reveal content structure issues — ChatGPT and Perplexity tend to favor conversationally structured content more than the traditional format Google prioritizes.

Step 5: Build a Prioritized Fix List

Rank your gaps by:

• Commercial intent — bottom-of-funnel gaps first
• Citation source gap — gaps that can be closed with a specific, achievable action (get listed on a review site, publish a comparison piece, update a specific page's schema)
• Volume — gaps on high-frequency queries over niche ones

The top 10 gaps from this analysis become your first sprint backlog.

Step 6: Execute and Monitor

For each priority gap, assign one of three fix types:

• Citation source gap → get listed on the review sites, directories, and authority publications that AI engines reference in your category
• Content gap → create or update content to answer the exact question the prompt represents, structured for AI extraction (Q&A format, clear entity signals, FAQ schema)
• Technical gap → improve schema, entity clarity, or structured data on pages that should be earning citations but aren't (AthenaHQ is built specifically for this)

Then monitor monthly: which presence rate and Share of Voice metrics moved, which specific prompts converted from "competitor mentioned / you absent" to "you mentioned," and whether citation counts increased on the gaps you targeted.

Best Practices to Improve AI Search Visibility After Your Audit

Make Your Content Easy for AI to Extract

AI systems don't just scan for keywords — they extract structured information. Content that AI engines consistently cite tends to:

• Answer questions directly and near the top of the page (not buried after 500 words of context)
• Use clear Q&A structure, definition boxes, and summary sections
• Include specific, verifiable claims (statistics, named examples, concrete outcomes) rather than generic assertions
• Have clean heading hierarchies that AI can parse as discrete information units

💡 Pro tip: After publishing any major piece of content, test it manually in ChatGPT and Perplexity. Ask the question your content is meant to answer and see whether it's cited. If not, look at what is cited and compare the structure — the difference is usually immediately visible.

Earn Citations from the Sources AI Trusts

AI systems in most B2B SaaS categories pull heavily from a consistent set of sources: G2, Capterra, Trustpilot, Gartner Peer Insights, industry-specific review publications, and authoritative comparison sites. Appearing prominently on these sources is one of the most reliable ways to improve AI citation rates.

• Audit which review and listing sites are regularly cited by AI engines for your category prompts (your GEO tool's citation source analysis does this automatically)
• Prioritize getting listed, reviewed, and active on those specific sources
• Ensure your profile data on those sources is accurate, complete, and up to date — AI engines often pull specific data points (features, pricing, ideal customer profile) directly from these listings

Keep Entity Signals Consistent Everywhere

AI engines build an understanding of your brand from signals scattered across the web — your website, review sites, press mentions, directories, and partner pages. Inconsistency in how you describe yourself (different product names, varying ICPs, unclear positioning) creates noise that reduces AI citation confidence.

Audit your brand's description across your top 10–20 online touchpoints: is your core positioning, ICP, and product description consistent? Inconsistency is often the hidden reason a brand with strong traditional SEO still underperforms in AI search.

Treat AI Visibility as a Recurring Program, Not a One-Time Audit

AI answers change as models update, new sources enter the citation pool, and competitors publish new content. A single audit tells you where you are today. A quarterly audit rhythm tells you whether your program is working.

At minimum, build these into your SEO calendar:

• Monthly check-in: review Share of Voice and Visibility Score trends in your GEO platform
• Quarterly audit: re-run your full baseline process, add new bottom-of-funnel prompts, and update your fix list
• Post-publish check: test new content in ChatGPT and Perplexity within one week of going live

Frequently Asked Questions

What's the difference between an AI search visibility checker and an AI search visibility audit tool?
A checker is typically a one-off or periodic scan — you input a keyword and it tells you whether you appear in AI answers for that term. An audit tool is a structured platform that tracks visibility across a defined keyword set over time, compares you against named competitors, and often produces a prioritized list of improvements. Checkers (like HubSpot AI Search Grader or SEO.com's AI Overview Checker) are best for initial diagnosis. Audit tools (like Amadora AI, Otterly.AI, or Profound) are what you use for ongoing program management.

How often should I run an AI search visibility audit?
At minimum, quarterly for a full structured audit. For active GEO programs, monthly Share of Voice reviews and weekly spot-checks on high-priority prompts are the right cadence. AI answers shift more frequently than traditional rankings, so the "set it and check it once a year" approach that some teams use for technical SEO audits will leave you missing significant visibility movements.

Do I need a separate AI visibility tool if I already use Semrush or Ahrefs?
For Google AI Overviews specifically, Semrush's AI Toolkit or SE Ranking's AI Visibility module may be sufficient. For broader AI search visibility across ChatGPT, Perplexity, Gemini, Copilot, and Grok — the platforms where a growing share of B2B discovery is now happening — a dedicated GEO platform will give you meaningfully more depth, more accurate data (real UI scraping vs. API), and better agency workflow tools.

Can improving AI visibility hurt traditional SEO?
No. The tactics that improve AI citation — authoritative content, clear entity signals, structured data, strong backlink profiles, consistent brand representation across the web — are the same fundamentals that drive traditional SEO performance. GEO and SEO are complementary programs, not competing ones.

How long does it take to see AI visibility improvements after publishing new content?
It varies significantly by platform and topic. Google AI Overviews can update within days of Google recrawling a page. ChatGPT and Perplexity updates depend on their respective indexing cycles and model update schedules — often weeks to a few months for new content to meaningfully influence responses. Citation source changes (getting listed on a major review site, for example) can produce faster results because AI engines update their treatment of established source domains more quickly than new brand content.

What's the most important thing to track in an AI visibility audit if I'm just starting out?
‍ Start with Share of Voice on your 10 most commercially important prompts. Compare yourself against your two or three main competitors. If you're consistently absent where competitors are mentioned, that's your north star metric — and it's specific enough that you can build a targeted fix list around it rather than chasing a vague "visibility score."

Conclusion: Run the Audit Before Your Competitors Do

The brands appearing consistently in AI-generated answers today aren't necessarily the ones with the best products. They're the ones that started measuring and optimizing their AI search presence earlier.

The tools in this guide give you everything you need to run a structured AI search visibility audit — whether you start with a free checker to build internal urgency, use a 7-day trial to build your first baseline, or move straight into an ongoing agency-grade program.

The audit is the starting point. The fix list is where the work begins. And the Share of Voice trend over the next 90 days is how you prove it.

Ready to see where your brand stands in AI search? Start a 7-day free trial with Amadora AI — real UI scraping, daily tracking, multi-platform coverage, and the agency workflow tools to turn your audit into a program. No credit card required. amadora.ai

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