Best AI Search Visibility Tools for 2026: GrackerAI, HubSpot AEO, Profound, and More Compared

Vertical Focus and Prompt Generation

Most GEO tools are horizontal: they track visibility across industries using generic prompt sets and a generic notion of authority. That works for broad brand monitoring but misses what matters in cybersecurity and B2B SaaS, where buyers ask dense, constraint-laden questions about compliance frameworks, architecture fit, and threat models. GrackerAI generates the prompts those buyers actually use and evaluates citations by the sources AI engines trust within the domain. The result is a visibility picture matched to how technical buyers research rather than to a cross-industry mean.

From Visibility to Pipeline

The differentiator is that GrackerAI orients the whole workflow around conversion, not just measurement. AI-referred traffic tends to arrive pre-qualified, because the visitor has already been recommended by the AI, and recent Adobe Analytics data found AI-referred visitors converting markedly better than other channels in early 2026. GrackerAI pairs monitoring with content production so teams can capture that high-intent traffic, closing the gap between knowing you are missing from AI answers and doing something about it.

Engine Coverage

GrackerAI tracks ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, Grok, DeepSeek, and Google AI Overviews, with the number of engines gated by tier (three on Starter, six on Scale, nine on Enterprise). Coverage of Claude and Grok is notable because several mainstream and CRM-bundled tools omit them. For a B2B technology buyer whose prospects research across multiple assistants, that breadth on higher tiers matters more than it would for a single-engine consumer use case.

The Free AEO Grader

Start with the free AEO Grader (formerly the AI Search Grader). It is a one-time diagnostic that sends your brand information to ChatGPT, Perplexity, and Gemini, runs dozens of test queries, and scores you out of 100 across dimensions like sentiment, presence quality, brand recognition, share of voice, and market position. It requires no account, finishes in a few minutes, and produces a written interpretation and exportable report. As a way to find out where you stand before spending anything, it is one of the best free tools in the category.

Paid Product and CRM Integration

The paid HubSpot AEO product moves from one-time diagnosis to continuous tracking across ChatGPT, Perplexity, and Gemini, with prompt-level visibility, citation analysis, and competitive share of voice. Its real differentiator is CRM integration: it uses your HubSpot data to suggest personalized prompts and connect AI visibility insights directly to the content tools you already use. At $50/mo standalone (or $45 annually), and free inside Marketing Hub Professional and Enterprise, it is close to a default choice for existing HubSpot customers.

Coverage Tradeoff

The limitation to know is engine breadth. HubSpot AEO tracks three engines where specialist trackers cover ten or more, so Claude, Grok, Copilot, and Google AI Overviews are out of scope. For a HubSpot-native team whose buyers concentrate on ChatGPT, Perplexity, and Gemini, that is often an acceptable trade for the integration depth. For teams serving diverse markets or needing coverage of every assistant, a broader specialist is the better fit.

Enterprise Monitoring and Agent Analytics

Profound's signature strength is depth. Beyond tracking how AI answers mention and cite your brand, it analyzes how AI crawlers and agents interact with your site at the per-bot level, which is the closest thing the category has to server-log analytics for the agentic web. Combined with deep prompt-volume data, this gives large brands a granular view of both what AI says about them and how AI systems are reaching their content. That instrumentation is the core reason enterprises with data teams choose it.

Coverage and Scale

The platform spans the major engines including Perplexity, ChatGPT, Claude, Gemini, Grok, Copilot, Meta AI, and Google AI Overviews, with full breadth reserved for the Enterprise tier. It is built for organizations operating at scale, with the security and support expectations (SSO, SOC 2) that enterprise procurement requires. The flip side is that the low-cost entry plan is heavily restricted, so the realistic starting point for meaningful coverage is the higher tiers.

Who It Is For

Profound is defensible specifically for large, enterprise brands with the budget and the in-house data and analytics capacity to act on what it surfaces. The value is in the depth, and depth is only worth paying for if a team is going to use it. For everyone else, a more focused or affordable tool will deliver a better outcome per dollar.

Multi-Engine Coverage and Optimization

AthenaHQ tracks brand visibility and citations across one of the widest engine sets in the category, including Google AI Mode and Grok alongside the usual ChatGPT, Perplexity, Gemini, Claude, and Copilot. What distinguishes it from a pure dashboard is the optimization engine, which drafts and prioritizes the content work needed to improve standing rather than leaving the team to interpret raw numbers. That action layer is the difference between knowing where you rank and having a queue of what to do about it.

Narrative and Competitive Analysis

AthenaHQ is frequently chosen by brand and PR teams for narrative and tone analysis, because it surfaces not only whether you appear in AI answers but how you are characterized relative to competitors. Strong competitor benchmarking rounds this out, making it useful for teams whose concern is share of voice and brand perception in generated answers. The official product emphasizes brand-voice enforcement and sentiment, so treat deeper tone-analysis claims as adjacent rather than a headline feature.

Pricing Model

Pricing is credit-based, where one credit equals one AI response, with the self-serve tier including 3,600 credits per month at $95/mo billed annually. This is unusually transparent for the tier, but the credit model means high-volume monitoring can run into the ceiling and require paid add-ons. Teams should map their realistic monthly prompt volume to the credit allowance before committing.

Analytics and Benchmarking

Peec AI focuses on doing the measurement job cleanly: tracking brand mentions and visibility across the major answer engines, surfacing citation intelligence and share of voice, and benchmarking against competitors in a dashboard that B2B SaaS marketers find easy to use. Unlimited seats and daily tracking on every plan make it practical to give a whole team visibility. For a marketing team that already has the capacity to act, that reliable measurement is exactly the right scope.

Engine Coverage and the Execution Gap

Standard plans cover ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, and Gemini, with additional models such as Claude, DeepSeek, Qwen, and GPT-5 Search reserved for Enterprise plus API, and Grok not listed. The bigger consideration is that Peec measures and stops: it shows where you stand but leaves the optimization to you. That makes it a fine fit for teams with execution capacity in-house and a weaker one for teams that need an action layer.

Pricing Transparency

Peec AI's pricing is the least transparent in this comparison. The official page hides figures behind dynamic loading and third-party sources conflict on the numbers, the currency, and even the number of tiers. The safe approach is to request current pricing directly and confirm seat, prompt, and engine allowances before committing, rather than relying on any single published figure.

Accuracy and Representation

Where most tools ask whether you appear, Scrunch AI asks whether AI systems understand and represent your brand correctly. That makes it valuable for enterprises where an AI confidently stating something false about a product is a tangible risk, not a curiosity. The platform tracks how your brand is cited and characterized across engines and frames the problem as one of accuracy, not just presence. For regulated or reputation-sensitive enterprises, that emphasis is the differentiator.

Agent Experience Platform

Scrunch AI's broader goal is to make brand information easier for AI agents to interpret, reflected in its Agent Experience Platform, which can generate an AI-friendly version of your site so agents consume accurate, structured information. Combined with buyer personas, page audits, and agent-traffic attribution, this positions Scrunch as an active tool that shapes how AI sees you rather than only reporting on it. The scope is genuinely enterprise-grade.

Coverage and Pricing

The engine list is broad, spanning ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews, and Meta. Pricing starts at $250/mo billed annually, the highest entry point among the affordable tools here, and prompts are divided into custom and industry buckets, so the effective number of unique queries you can monitor is lower than the headline figures. Use the seven-day no-card trial to confirm the prompt math fits your needs.

Affordable, Simple Monitoring

Otterly AI is built to get a small team measuring quickly: straightforward monitoring of brand mentions, citations, and competitor recommendations across AI search, presented in a clean interface at a low price. Daily tracking is included even on the cheapest tier, and unlimited team members keep it practical to share. For someone early in their AI visibility journey who wants a simple, affordable way to start, it is a sensible first step.

Coverage and Limits

The entry Lite tier covers ChatGPT, Google AI Overviews, Perplexity, and Copilot, with Gemini and Google AI Mode as paid add-ons and no Claude or Grok. Prompt allowances are tight at the bottom (15 on Lite), so real coverage requires stepping up to Standard at $189/mo, which adds API and MCP access and Looker Studio export. The low price is honest about what it buys: a narrow but functional monitoring surface.

Who It Is For

Otterly AI is monitoring-focused rather than an optimization suite, which is exactly right for its audience of solo marketers and small teams. If you want to know whether you appear in AI answers and start tracking it without a big commitment, it is one of the best on-ramps. Teams that need broad engine coverage or an action layer to drive optimization will outgrow it and should look higher up this list.