Best Answer Engine Optimization Tools for Content Leaders in 2026

Your prospects are asking ChatGPT, Gemini, and Perplexity questions that used to live in Google. The brands that show up in those answers capture attention, citations, and pipeline. The brands that don't are invisible in a channel growing faster than any other in digital marketing.

Most marketing teams have no system for managing AI search presence. They can track Google rankings and measure website traffic, but when it comes to how AI models talk about their brand, they're flying blind. AEO tools are built to close that gap.

This guide breaks down 15 Answer Engine Optimization tools for enterprise content and marketing teams evaluating their options in 2026. Each review covers what the tool does well, where it falls short, pricing, and who it's built for.

What is an Answer Engine Optimization tool?

An Answer Engine Optimization (AEO) tool helps marketing teams monitor, influence, and measure how their brand appears in AI-generated search results. These tools track metrics like citation rate, mention rate, sentiment, and competitive positioning across AI platforms, and the best ones connect that data to content workflows that improve visibility over time.

Common use cases for Answer Engine Optimization tools

• AI visibility monitoring: Track how often AI engines cite or mention your brand when answering questions in your category, and spot drops before they become trends.
• Competitive benchmarking: Compare your share of voice against competitors across ChatGPT, Gemini, Perplexity, and other AI search platforms to identify where you're winning and losing.
• Content gap identification: Find the questions your buyers are asking AI that your content doesn't answer well enough to earn a citation.
• Content optimization for AI extractability: Structure and rewrite existing pages so AI models can more easily parse, summarize, and cite your content in their responses.
• Citation source analysis: Understand which of your pages are being cited, which competitor pages are beating you, and what third-party sources are shaping the AI narrative about your brand.
• Performance attribution: Connect content changes to movements in AI visibility metrics so you can prove what worked and prioritize what to do next.

What makes a great Answer Engine Optimization tool?

• Real query data: The best tools track visibility against the questions real buyers type, not AI-generated synthetic prompts. Data quality is the foundation everything else depends on.
• Multi-engine coverage: AI search is fragmented across ChatGPT, Gemini, Perplexity, Google AI Overviews, and others. A tool that only covers one platform gives you a partial picture.
• Actionability beyond dashboards: Insight without a path to action creates a reporting burden, not a competitive advantage. Look for tools that connect monitoring to content workflows.
• Content performance attribution: The ability to tie a specific content change to a measurable shift in AI visibility separates strategic tools from vanity dashboards.
• Brand governance at scale: Enterprise teams need AI-assisted content production that stays on brand across writers, regions, and product lines without manual review bottlenecks.

A quick look at the tools we chose

How we evaluated these Answer Engine Optimization tools

We tested or deeply reviewed each tool against criteria designed for enterprise content teams.

• AI engine coverage: We prioritized tools covering ChatGPT, Gemini, Perplexity, and Google AI Overviews at minimum.
• Data quality: Real user queries and front-end scraping scored higher than synthetic prompts and API approximations.
• Actionability: Does the tool connect insights to content workflows, or stop at a dashboard?
• Enterprise readiness: Multi-brand support, brand governance, unlimited seats, and integration with existing stacks.
• Pricing transparency and time to value: Public pricing and fast onboarding scored higher than hidden pricing and lengthy setup.

15 best Answer Engine Optimization tools (reviewed and compared)

1. AirOps: Best for closing the loop between AI search insight and content execution

If your team spots a declining citation rate on a high-value topic, what happens next? Who builds the brief, writes the content, checks brand alignment, and measures whether it moved the needle?

AirOps is the growth platform for AI search, and the only tool on this list that connects AI visibility data to content execution and measurement in a single system. The insight-to-action-to-measurement loop is the core of the platform, and it's what separates AirOps from every dashboard-only tool in this category.

What AirOps does for Answer Engine Optimization

Insights tracks how your brand appears across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. It monitors citation rate, mention rate, sentiment, and competitive positioning, then surfaces the specific questions your buyers are asking before they reach your site. Page360 connects that signal directly to Google Search Console and GA4 data, so you can see which pages are earning AI citations and how that maps to organic performance.

Here's where AirOps breaks from the pack. When Insights surfaces a declining page or an uncovered topic, Quill, AirOps' AI agent captain, takes action. Point Quill at a declining page, and it pulls competitive SERP data, analyzes the content gap, drafts an optimized refresh grounded in your Brand Kit, and queues the update for human review. Your team sets the strategy. Quill runs the execution. Every content piece Quill produces passes through your Brand Kit's tone, terminology, and writing rules, so output stays consistent whether one person reviews it or twenty.

That system extends beyond single-page refreshes. Workflows let you build repeatable, multi-step content operations: research, outline, draft, optimize, publish. Grids manage production at scale when you're running hundreds of pages through optimization cycles. And Offsite tackles the visibility gap that most competitors ignore entirely. LLMs form brand opinions from third-party sources, not just your own site. AirOps helps you build and track offsite mentions so the story AI tells about your brand matches the one you want told.

Why this matters for real teams

Carta saw a 7x increase in AI search citations after using AirOps to identify citation gaps and systematically close them through targeted content updates. Chime achieved a 3x citation increase while cutting content production time by 89% and increasing refresh velocity by 70%. Webflow hit a 5x content refresh velocity with a 40% traffic uplift, and AI-sourced signups went from 2% to 10% of total. Docebo holds a 25% share of voice lead in their category, and AI discovery now drives 12.7% of their high-intent leads. Merge achieved #1-2 LLM visibility rankings with a solo content leader running the entire program through AirOps.

These results come from the closed loop. Insights finds the opportunity. Quill and Workflows execute the fix. Measurement confirms the outcome. Then the loop runs again.

When AirOps is (and isn't) the right choice

• AirOps works best for:
  • Enterprise content teams that need to move from AI visibility monitoring to scaled content execution without adding headcount.
  • Marketing orgs that want one platform for AI search insight, content production, and performance measurement instead of stitching together three or four tools.
  • Teams managing brand consistency across multiple writers, regions, or product lines who need governed AI content output.
• AirOps may not be ideal if:
  • You only need a lightweight monitoring dashboard and have no plans to act on the data with content changes.
  • Your team is pre-content-strategy and needs to build foundational pages before optimizing for AI search.

Pricing

The free Solo plan includes 100 tracked prompts, ChatGPT insights, and 20,000 content tasks. Pro includes multi-engine insights across all five AI platforms, weekly opportunity reports, 75,000 tasks, and unlimited seats. Enterprise includes custom limits, multiple regions, personas, and languages, dedicated account management, and expert onboarding.

2. Otterly AI: Best for fast, affordable AI visibility monitoring

Otterly AI is an entry-level monitoring tool built for teams that want a clear picture of their AI search presence without a large commitment.

Key features

• Multi-engine tracking: Monitors brand mentions and citations across ChatGPT, Gemini, Perplexity, and other AI platforms with daily or weekly cadence.
• Quick setup: Teams can start tracking within minutes of signing up, with no complex integration or onboarding required.

Pros

• Speed to value: Fastest time-to-insight on this list. You'll have data the same day you sign up.
• Accessible pricing: Starts at $29/mo, making it one of the most budget-friendly options for small teams or agencies.

Cons

• Monitoring only: No content creation, optimization, or execution workflows. You'll need separate tools to act on what Otterly surfaces.
• Limited depth: Enterprise teams tracking hundreds of queries across multiple products and regions may outgrow the platform quickly.

Pricing

Otterly offers three tiers: Lite at $29/mo for basic monitoring, Standard at $189/mo for expanded tracking and team features, and Pro at $489/mo for higher volume and agency capabilities.

3. Profound: Best for multi-engine visibility dashboards at enterprise scale

Profound is a monitoring dashboard that tracks brand presence across 10+ AI engines with a focus on data depth and competitive intelligence.

Key features

• Broad engine coverage: Monitors visibility across more than 10 AI search platforms, giving a wide view of brand presence across the AI search landscape.
• Front-end data capture: Uses real browser-based scraping to collect AI answers as users see them, capturing the full response context.

Pros

• Engine breadth: Covers more AI platforms than most tools on this list, useful for teams that need visibility beyond the top three engines.
• Enterprise reporting: Dashboards designed for C-suite reporting with exportable data and trend visualization.

Cons

• Synthetic query methodology: Uses AI-generated questions to test visibility rather than real user queries, which can skew results toward questions nobody actually asks.
• Monitoring only: No content execution or optimization workflows. Closing the gap between a visibility finding and a content fix requires separate tools and manual processes.
• Steep learning curve: Onboarding takes time, and the interface can overwhelm teams that need fast, focused answers.

Pricing

Profound's Starter plan begins at $99/mo. Growth is $499/mo with expanded tracking. Enterprise pricing is custom and requires a sales conversation.

See how AirOps and Profound compare.

4. Peec AI: Best for precise citation tracking

Peec AI focuses on accuracy in citation measurement, using UI scraping methodology to capture exactly how AI engines cite content in their responses.

Key features

• UI scraping methodology: Captures citations as they appear in the AI engine interface, reducing the gap between what you measure and what users see.
• Unlimited seats: Every plan includes unlimited team members, removing per-seat cost scaling that plagues other enterprise tools.

Pros

• Data accuracy: The UI scraping approach produces citation data that closely matches what real users see in AI search results. G2 rating of 5.0/5 reflects strong user satisfaction.
• Team-friendly pricing: Unlimited seats mean you won't pay more as your team scales.

Cons

• Monitoring only: No content creation, optimization, or publishing capabilities. Action on findings requires external tools.
• No historical data: Tracking only begins from the date you sign up. You can't backfill historical trends or benchmark against prior performance.

Pricing

Plans range from approximately $95/mo to $495/mo depending on tracking volume and feature access. All tiers include unlimited seats.

5. SE Visible: Best for SEO teams adding AI visibility to their stack

SE Visible, built by SE Ranking, brings AI visibility intelligence to teams already invested in the SE Ranking ecosystem.

Key features

• Clean dashboards: Intuitive interface that makes AI visibility data accessible to team members who aren't AEO specialists.
• SE Ranking integration: Connects AI visibility data directly to your existing SE Ranking SEO workflows and keyword tracking.
• Unlimited seats: All plans include unlimited users, supporting team-wide adoption without cost escalation.

Pros

• Ease of adoption: Teams already using SE Ranking can add AI visibility tracking without switching platforms or learning a new tool.
• Visual clarity: Dashboards are designed for quick comprehension, making it easy to spot trends and share findings with leadership.

Cons

• Monitoring only: No content execution or optimization capabilities. Insights need to be acted on through separate tools.
• SE Ranking dependency: Strongest value comes when paired with SE Ranking's SEO suite. As a standalone AEO tool, it's less differentiated.

Pricing

Plans run from $89/mo to $259/mo. SE Ranking's G2 rating is 4.7/5, reflecting strong satisfaction with the broader platform.

6. Semrush AI Toolkit: Best for adding AEO data to an established SEO workflow

Semrush's AI Toolkit brings AEO monitoring features into one of the most widely used SEO platforms on the market.

Key features

• AI search tracking: Monitors brand visibility and citations within AI-generated search results alongside traditional keyword data.
• 17 years of search data: Layering AEO metrics on top of Semrush's deep keyword and backlink database gives historical context that newer tools can't match.

Pros

• No tool switching: Teams already in Semrush get AEO data without adding another platform to their stack.
• Data depth: Combining AI visibility metrics with 17 years of traditional search data produces competitive context that standalone AEO tools can't replicate.

Cons

• AEO features are shallow: AI search tracking is an add-on to Semrush's core SEO product, not a dedicated focus. Depth and granularity lag behind purpose-built AEO tools.
• No content execution: Semrush helps you identify opportunities but doesn't provide automated content workflows to act on them at scale.

Pricing

Semrush Pro starts at $139.95/mo and includes the AI Toolkit features. G2 rating is 4.5/5 for the overall platform.

See how AirOps and Semrush compare.

7. Scrunch AI: Best for competitive share-of-voice benchmarking

Scrunch AI focuses on competitive intelligence in AI search, helping teams understand how their brand stacks up against competitors in AI-generated responses.

Key features

• Competitive share-of-voice: Measures how often your brand appears relative to competitors in AI search answers across key topics and categories.
• AI agent experience testing: Simulates how AI agents interact with and perceive your brand, surfacing gaps in how your content is interpreted by LLMs.

Pros

• Competitive framing: Strong at showing relative brand positioning, which is useful for executive reporting and competitive strategy discussions.
• Brand perception insights: The AI agent simulation gives a unique lens on how LLMs construct narratives about your brand.

Cons

• Limited execution: Content auditing provides recommendations, but the platform doesn't include automated content creation or publishing workflows.
• Higher entry price: Starting at $250/mo, Scrunch is more expensive than monitoring-only tools without offering the execution layer that justifies the premium.

Pricing

Plans start at $250/mo. Exact tier breakdowns require a sales conversation for enterprise volume.

See how AirOps and Scrunch compare.

8. Athena HQ: Best for brand integrity monitoring with content optimization agents

Athena HQ pairs AI search intelligence with content agents designed for generative engine optimization (GEO), offering both monitoring and guided content improvements.

Key features

• 7+ AI engine tracking: Monitors brand presence across seven or more AI search platforms, covering the major engines and several emerging ones.
• Brand integrity monitoring: Tracks not just visibility but the accuracy and sentiment of how AI engines represent your brand.
• Content agents for GEO: Provides AI-assisted content optimization workflows that help improve content for AI extractability.

Pros

• Monitoring plus optimization: One of the few tools in this category that pairs visibility tracking with content improvement capabilities.
• Free trial credit: $300 in free credit lets teams test the platform before committing to a paid plan.

Cons

• Newer platform: Less market validation than established competitors. Fewer case studies and customer references available for enterprise evaluation.
• Price gap between tiers: Annual pricing at $95/mo jumps to $295/mo on a monthly basis, creating a significant commitment for teams that want flexibility.

Pricing

Annual billing starts at $95/mo. Monthly billing is $295/mo. A $300 free credit is available for new accounts.

9. BrightEdge: Best for Fortune 500 SEO programs adding AI visibility

BrightEdge is an established enterprise SEO platform with 18+ years of search data and a growing AI visibility layer built on top of its existing infrastructure.

Key features

• Massive data footprint: 18+ years of search performance data provides deep historical context for understanding how AI search visibility relates to traditional SEO performance.
• Fortune 500 adoption:57% of the Fortune 500 use BrightEdge, which means extensive enterprise integration support and proven scalability.
• AI visibility reporting: Tracks brand mentions and citations in AI-generated search results as part of its broader search analytics suite.

Pros

• Enterprise credibility: For organizations where vendor selection goes through procurement, BrightEdge's market presence and enterprise track record reduce buy-in friction.
• Historical data depth: No other tool on this list can layer AI visibility on top of nearly two decades of SEO performance data.

Cons

• Complex interfaces: The platform's depth comes with complexity. Teams often need dedicated BrightEdge administrators to extract full value.
• No content execution: BrightEdge reports on performance but doesn't provide content creation, optimization, or publishing workflows. The gap between insight and action stays open.
• Opaque pricing: No public pricing. Credit-based models and multi-year contracts make cost evaluation difficult before engaging sales.

Pricing

BrightEdge does not publish pricing. Contracts are custom, typically credit-based, and often multi-year. Expect enterprise-level investment. G2 rating is 4.5/5.

10. Surfer SEO: Best for optimizing content structure for AI extractability

Surfer SEO is a content optimization platform that helps writers structure and score content for search performance, with growing relevance for AI extractability.

Key features

• Content Editor: Scores content in real-time against top-ranking pages, providing specific guidance on structure, word count, heading usage, and keyword density.
• NLP scoring: Uses natural language processing to evaluate how well content matches the semantic patterns AI engines look for when selecting sources to cite.
• SERP analysis: Breaks down what's working for top-ranking pages so writers can model their content structure against proven patterns.

Pros

• Writer-friendly: The Content Editor provides actionable, real-time feedback that writers can apply without AEO expertise. G2 rating of 4.8/5 reflects strong user satisfaction.
• Accessible pricing: Starting at $89/mo, Surfer is affordable for teams that want to improve content quality without a large platform investment.

Cons

• SEO-first tool: AEO optimization is a secondary benefit, not the primary design goal. Teams that need dedicated AI visibility tracking will need a separate tool.
• No AI visibility monitoring: Surfer doesn't track how your content appears in AI search results after publishing. You can optimize for extractability but can't measure the outcome.

Pricing

Plans range from $89/mo for Essential to $219/mo for Scale, with an Enterprise tier available for larger teams.

11. Writesonic GEO: Best for combining AI writing with basic visibility tracking

Writesonic pairs its AI Article Writer with generative engine optimization (GEO) monitoring, giving teams a content creation and basic tracking bundle.

Key features

• Cross-LLM tracking: Monitors how content performs across multiple AI engines, providing visibility data alongside the writing tool.
• AI Article Writer: Generates draft content optimized for search with built-in SEO guidance and structural templates.
• GEO insights: Surfaces data on how AI engines are citing and referencing your content relative to competitors.

Pros

• Two-in-one value: Combines content creation and AI visibility tracking in a single subscription, reducing tool sprawl for smaller teams. G2 rating of 4.8/5.
• Affordable entry: Starting at $79/mo, Writesonic is one of the more budget-friendly options that includes both writing and monitoring capabilities.

Cons

• Surface-level GEO insights: The monitoring features lack the depth of dedicated AEO tools. Enterprise teams will find the competitive analysis and granularity insufficient.
• No brand governance: The AI writer doesn't include brand kit, style guide, or writing rule enforcement, which means output consistency depends on manual review.

Pricing

Plans range from $79/mo for Individual to $249/mo for Team, with Enterprise pricing available on request.

12. Ahrefs Brand Radar: Best for adding AI visibility data to Ahrefs workflows

Ahrefs Brand Radar brings AI visibility tracking to one of the most established SEO toolsets, powered by a database of 350M+ real-user prompts.

Key features

• 350M+ prompt database: Built on real user queries rather than synthetic prompts, giving a large-scale view of how AI engines respond to actual search behavior.
• Ahrefs integration: AI visibility data connects to Ahrefs' keyword research, backlink analysis, and site audit tools for a unified view.

Pros

• Real query foundation: The 350M+ prompt database provides a stronger data foundation than tools relying on smaller or synthetic query sets.
• Familiar interface: Teams already using Ahrefs get AI visibility data in an interface they know. G2 rating is 4.5/5 for the overall platform.

Cons

• Documented underreporting: Some users have reported that Brand Radar underreports visibility in certain AI engines, which can create gaps in competitive analysis.
• Price barrier: The AI indexes add-on requires an Ahrefs subscription at $699/mo, putting it out of reach for teams that don't already pay for Ahrefs.

Pricing

Brand Radar is available as an add-on to Ahrefs plans. Full AI indexes access requires an Ahrefs subscription at $699/mo.

See how AirOps and Ahrefs compare.

13. Frase: Best for question-based content research and drafting

Frase helps content teams research questions their audience is asking and draft content structured to answer them, making it a useful pre-publishing optimization tool.

Key features

• Question clustering: Aggregates questions from search results, People Also Ask boxes, and forums to identify the queries your content should address.
• Content Editor: Provides real-time scoring and optimization guidance as you write, based on top-performing pages for your target queries.

Pros

• Research-to-draft speed: Frase reduces the time between identifying a content opportunity and having a first draft ready for review. G2 rating of 4.8/5.
• Affordable: Starting at $49/mo, Frase is one of the lowest-cost tools on this list.

Cons

• No post-publish monitoring: Frase helps you create content but doesn't track how that content performs in AI search results after publishing. The feedback loop is missing.
• No citation tracking: You can't measure whether your optimized content is earning AI citations or mentions.

Pricing

Solo starts at $49/mo. Team plans run $299/mo. Enterprise pricing is available on request.

14. Conductor: Best for multi-brand enterprise SEO reporting with AEO data

Conductor is an enterprise SEO platform that has added AI visibility reporting to its suite, giving large organizations a unified view of traditional and AI search performance.

Key features

• Multi-brand, multi-market reporting: Supports enterprise organizations managing SEO and AI visibility across multiple brands, products, and geographic markets from one platform.
• AI visibility reporting: Tracks brand presence in AI-generated search results alongside traditional organic search metrics.

Pros

• Scale for large orgs: Built for enterprises managing complex, multi-brand content programs that need centralized reporting. G2 rating is 4.5/5.
• Unified reporting: Combines traditional SEO and AI visibility data in a single dashboard, reducing the number of tools leadership needs to review.

Cons

• Insight over execution: Conductor reports on performance but doesn't provide content creation or automated optimization workflows. The gap between finding a problem and fixing it stays open.
• Enterprise pricing only: No self-serve plans. Teams must go through a sales process, which slows evaluation and commitment.

Pricing

Conductor uses enterprise-only pricing with no public tiers. Expect a sales-driven process with annual contracts.

Compare AirOps and Conductor.

15. Nightwatch: Best for budget-friendly rank tracking with emerging AI visibility

Nightwatch is a rank tracking tool that has started adding AI visibility features to its core product, offering an affordable entry point for teams watching the AEO space.

Key features

• ZIP-code precision tracking: Tracks search rankings at a hyper-local level, useful for businesses with location-specific search strategies.
• AI Visibility Score: An emerging metric that measures brand presence in AI-generated search results alongside traditional rank tracking.
• Affordable entry: Starting at $32/mo, Nightwatch is the lowest-cost option on this list.

Pros

• Price-to-value ratio: For teams that primarily need rank tracking and want early AI visibility data, Nightwatch delivers strong value at $32-249/mo. G2 rating is 4.7/5.
• Local search strength: The ZIP-code precision is a differentiator for businesses with geographically targeted search strategies.

Cons

• Limited AEO depth: AI visibility features are new and not as developed as dedicated AEO tools. Documentation and methodology details are sparse.
• Rank tracking focus: The core product is built for traditional rank tracking. AEO capabilities feel like an early addition rather than a core competency.

Pricing

Plans start at $32/mo for Starter and go up to $249/mo for Expert. All tiers include the AI Visibility Score feature.

How to choose the right Answer Engine Optimization tool for your needs

• If you need to close the gap between AI visibility data and content execution at enterprise scale, prioritize platforms with built-in content workflows and brand governance.
• If you're starting from zero and need to understand your current AI search presence before building a strategy, look for tools with fast setup and affordable monitoring tiers.
• If your team already runs on an established SEO platform like Semrush, Ahrefs, or SE Ranking, evaluate whether the AEO add-on provides enough depth or if you need a dedicated tool.
• If executive reporting on competitive share-of-voice is your primary use case, prioritize tools with strong benchmarking dashboards and multi-engine coverage.
• If your concern is content quality and AI extractability rather than visibility tracking, look at content optimization tools that score and structure content for AI consumption.
• If you manage content across multiple brands, regions, or product lines, prioritize enterprise features like brand governance, multi-market support, and team-wide access.

The right tool depends on where your team is in its AEO maturity. Teams that only need monitoring can start lean. Teams ready to act on what they find need a platform that connects insight to execution and measures the result. The tools that stop at dashboards will eventually create a new problem: a growing backlog of visibility gaps with no scalable way to close them.

Optimize for Answer Engines now

AI search is the fastest-growing discovery channel in marketing, and the teams that build systems for it now will compound their advantage over the next two years. Whether you start with monitoring or go straight to a full-loop platform, the important thing is to start measuring how AI talks about your brand and building the operational muscle to influence it. AirOps gives your team the AI visibility data and execution system to turn AI search into a growth channel you can manage.

Book a demo to see how your enterprise team can close the loop between AI search insight and content execution with AirOps.

FAQs about Answer Engine Optimization tools

What is Answer Engine Optimization and how is it different from SEO?

Answer Engine Optimization (AEO) focuses on how your brand appears in AI-generated search responses from platforms like ChatGPT, Gemini, and Perplexity. Traditional SEO optimizes for ranking in blue-link search results. AEO optimizes for citations, mentions, and sentiment in AI answers. Both matter, but AEO addresses the growing channel where buyers go directly to AI for recommendations and research.

Do I need a dedicated AEO tool or can my SEO platform handle it?

Several SEO platforms have added AI visibility features, and they can work as a starting point. The limitation is depth. Add-on AEO features in tools like Semrush or Ahrefs typically offer basic monitoring without the granularity, multi-engine coverage, or content execution workflows that dedicated AEO platforms provide. If AI search is becoming a meaningful channel for your business, a dedicated tool will give you more signal and more ways to act on it.

How quickly can I see results from AEO optimization?

Most teams see initial data within 24 hours of setting up a monitoring tool. Content changes that improve AI visibility typically take two to six weeks to show measurable movement in citation rates and mention frequency, depending on how often AI engines refresh their training data and source indexes. Teams that run continuous optimization loops see compounding improvements over three to six months.

Can AEO tools help with both branded and non-branded queries?

Yes. Branded queries track how AI engines respond when someone asks about your company by name. Non-branded (category) queries track how you appear when someone asks a general question in your space, like "best project management software." Category queries are where the biggest growth opportunities live because they capture buyers before they've formed a brand preference.

What should I look for in AEO tool pricing?

Watch for per-seat costs that scale as your team grows, credit-based models that make costs unpredictable, and hidden fees for features like multi-engine tracking or historical data. The most transparent tools publish their pricing, include unlimited seats, and make it clear what each tier includes. Free tiers or trial credits are useful for evaluating data quality before committing.