10 best AEO and AI search visibility tools in 2027

What is an AEO tool?

An AEO tool is software that tracks how AI answer engines such as ChatGPT, Perplexity, Gemini, and Claude mention and cite your brand. It runs real buyer prompts on a schedule, records which brands and URLs appear, benchmarks you against competitors, and points you to the content changes most likely to earn more citations.

You will also see these tools called AI visibility tools, LLM visibility tools, AI citation tracking tools, and generative engine optimization (GEO) tools. The labels overlap heavily, which is why this guide covers them together. For the strategy behind the software, start with our guide to answer engine optimization.

Best AEO tools compared at a glance

The table covers starting price, the engines each vendor says it monitors, and whether AEO is the core product or an add-on to an SEO suite. Prices are the lowest published paid tier, read from each vendor's pricing page in November 2026. "Contact sales" means the vendor does not publish a price.

How we evaluated AEO tools

We scored every tool against six criteria and checked each claim against the vendor's own pricing page, product documentation, or G2 product page. For background on how AI search is changing, see our 2026 State of AI Search report.

• LLM coverage: Which engines the tool monitors, with ChatGPT, Perplexity, Gemini, and Claude as the baseline, and which tier unlocks each one.
• Citation and mention accuracy: Whether the tool separates a brand mention from a cited URL, captures answers as users see them, and reruns prompts to account for answer volatility.
• Prompt monitoring depth: How many prompts you can track, how often they run, and whether you can segment by persona, region, and language.
• Competitive benchmarking: Share of voice, sentiment, and citation share against named competitors, down to the prompt and page.
• Content recommendations and workflow: Whether the tool tells you what to fix and helps you ship the fix, or stops at a dashboard.
• Pricing transparency: Whether pricing is published, what the entry tier includes, and how costs scale with prompts, engines, and seats.

Prices were verified on vendor pricing pages on November 3, 2026. G2 ratings were retrieved in August 2026 and are labeled with that date.

How to track AI citations and brand mentions

Citation tracking runs a fixed set of prompts through each AI engine, then parses every answer for brand mentions and cited URLs. Tools collect answers in one of two ways: through model APIs, or by simulating a real user session in the engine's interface. Browser-based collection is closer to what buyers see, while API collection is cheaper to run at volume.

Two signals matter, and they are different. A mention is your brand name appearing in the answer text. A citation is your URL appearing as a source. You want both, because a brand that is cited but not named gets little credit, and a brand that is named without a source is harder for the engine to repeat with confidence.

1. Build a prompt set from real buyer questions, grouped by topic, funnel stage, and persona.
2. Run each prompt repeatedly across engines. AI answers vary between runs, so a single check is a sample, not a measurement.
3. Attribute every citation to a specific page and prompt, and split first-party citations (your site) from third-party citations (reviews, listicles, forums, publishers).
4. Benchmark against competitors on the same prompts, then review trends weekly rather than reacting to one day of data.

Third-party sources carry a large share of the work. Review sites, comparison articles, and community threads often decide which brands an engine names, so your tracking should show which external domains cite competitors and not you. For a deeper walkthrough of the method, read our guide to LLM brand citation tracking.

Individual tool profiles

The profiles are split into two tiers. Dedicated AEO platforms are built around AI search from the ground up. SEO platforms with AI features bolt AI visibility onto an existing SEO suite, which suits teams that already pay for that suite.

Dedicated AEO platforms

1. AirOps: Best for enterprise teams that need to act on AEO and AI search intelligence

AirOps helps enterprise brands set and execute the strategy that wins AI discovery and AI search. It combines AI search intelligence, content execution, and a team of experts who build and run the program with you, then ties the results to pipeline. Learn more about AirOps and get your questions answered.

• Insights: Tracks citation rate, mention rate, sentiment, share of voice, and prompt volume across 10+ answer engines, with persona, region, and language segmentation.
• Page360: Joins AI search data with Google Search Console and GA4, so you see which pages earn citations and how that maps to organic performance.
• Opportunities and execution: Find onsite, offsite, social, and community opportunities, then runs refreshes and new content through your Brand Kit with human review before anything ships.
• Offsite and AI ads insights: Shows which third-party sources and sponsored placements shape the answer, not only your own pages.

Where it fits: Teams that want one partner for AI search strategy, intelligence, and execution across owned content, external content, AI ads, community, and social. Chime tripled its citation rate with AirOps (Chime case study), and Webflow lifted content refresh velocity 5x (Webflow case study).

Limitations: The Solo plan tracks ChatGPT only, so multi-engine coverage starts on Pro. Teams that only want a lightweight monitoring dashboard will use a fraction of the platform.

Pricing: Solo and Pro both start free on the AirOps pricing page. Solo includes 35,000 tasks and ChatGPT insights. Pro includes 100,000 tasks, insights across 10+ answer engines, and unlimited seats. Enterprise is custom priced, so contact sales.

AirOps holds a 4.7/5 rating on G2 across 134 reviews as of August 2026, and has been SOC 2 Type II compliant since January 2023.

2. Profound: Best for multi-engine dashboards at large brands

Profound is an AI visibility platform with Answer Engine Insights, Agent Analytics for AI crawler traffic, Prompt Volumes, and an AI Marketer agent.

• Engine coverage: Up to nine answer engines on paid plans.
• Agent Analytics: Tracks AI-sourced traffic through integrations with Cloudflare, Vercel, Akamai, Fastly, and Google Analytics.
• Prompt Volumes: Estimates what users ask AI engines in your category.

Where it fits: Large brands that want broad engine coverage and are ready to staff the analysis.

Limitations: Pricing beyond the trial isn't published. G2 reviewers note that turning insights into action still takes interpretation and expertise.

Pricing: Free 7-day trial (50 prompts on ChatGPT, Gemini, and Google AI Overviews). Paid plans are custom priced, so contact sales. Compare AirOps and Profound.

3. Scrunch: Best for competitive benchmarking and AI agent site audits

Scrunch monitors brand presence across major engines and audits how AI agents read your site.

• Engine coverage: ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, Meta AI, and Google AI Mode.
• Site audits: Five audits a month on Core to check how AI crawlers access your pages.
• Core plan scope: 125 unique prompts, 5,000 responses a month, and five user licenses.

Where it fits: Teams that want share-of-voice benchmarking across many engines at a published price.

Limitations: Execution happens outside the tool, so your team still briefs, writes, and publishes fixes elsewhere.

Pricing: Core is $250/mo. Larger tiers and agency plans are listed on the Scrunch pricing page or through sales.

4. AthenaHQ: Best for monitoring plus optimization agents on a credit model

AthenaHQ pairs AI visibility monitoring with an agent that suggests and drafts optimizations. Usage runs on credits, where one credit equals one AI response.

• Engine coverage: ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Google AI Overviews and AI Mode.
• Credits: Starter includes 3,600 credits a month, with extra credits as a paid add-on.

Where it fits: Self-guided small and mid-market teams that want a free entry point and broad engine coverage.

Limitations: Credit consumption scales with prompts and engines, so budget for add-on credits as tracking grows.

Pricing: Free tier with $25 of credit. Starter is $295/mo on monthly billing, with a discount for annual billing. Enterprise is custom.

5. Peec AI: Best for precise prompt-level citation tracking

Peec AI focuses on accurate citation measurement and makes data easy to pull into other tools through its MCP integration.

• Engine coverage: ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews and AI Mode, with Claude, Grok, DeepSeek, and more on higher tiers.
• Unlimited seats: Every plan includes unlimited team members.
• Actions: Prioritized recommendations are included on all plans.

Where it fits: Teams that want clean citation data and plan to act on it with their own content workflow.

Limitations: Engines are gated by tier, and your team still writes and ships the content.

Pricing: Starter $95/mo, Pro $245/mo, Advanced $495/mo, Enterprise custom. Compare AirOps and Peec AI.

AI brand monitoring across ChatGPT, Perplexity, Gemini

AI brand monitoring checks how each engine describes your brand, not only whether it names you. The engines draw on different sources and update at different speeds, so your position on one rarely matches the others.

• ChatGPT: The largest audience. Answers lean on web search results and well-known publishers, so third-party coverage moves your position.
• Perplexity: Cites sources inline on almost every answer, which makes it the clearest place to see which URLs earn citations.
• Gemini: Ties closely to Google's index. The same index feeds Google AI Overviews. Pages that already perform in organic search have a head start.
• Claude: Often used for research-heavy B2B questions. Coverage varies by tool and tier, so confirm it before you buy.

Good monitoring runs a prompt library daily across engines and reports mentions, citation rate, sentiment, share of voice, and query-level detail. Spot-check results by running a few prompts yourself in a private browser session, so you know the tool's data matches what a buyer sees.

AI answers now shape buyer shortlists. G2 reports that 82% of B2B software buyers sourced software recommendations from an AI chatbot in the last 24 months, so the responses ChatGPT, Gemini, and Perplexity return shape your pipeline before anyone reaches your site.

Key AI visibility metrics to track

Five metrics cover most of what an AEO program needs. Track them by topic and competitor, and read the trend rather than any single day.

• Mention rate: The share of tracked answers that name your brand.
• Citation share: The share of all citations in your category that point to your pages.
• Share of voice: Your mentions and citations compared with competitors on the same prompts; also called AI share of voice.
• Sentiment: Whether answers describe your brand positively, neutrally, or negatively.
• Coverage gaps: Prompts where competitors appear and you do not.

For targets, baselines, and how to report these numbers to leadership, read how to measure AI search visibility.

AEO readiness: Auditing your current AI search visibility

AEO readiness is how prepared your pages are to be retrieved, understood, and cited by AI engines. A readiness audit gives you a baseline before you invest, and shows which pages to fix first.

1. Pull your baseline: citation rate, mention rate, share of voice, and sentiment for your priority topics.
2. Diagnose at the page level: check whether each priority page answers the question directly, uses clear headings and lists, and carries current data with sources.
3. Check access: confirm AI crawlers can reach the page and that key content does not depend on scripts to render. Add schema markup so engines can parse what the page covers.
4. Join AI data with Google Search Console at the URL level, so you can see which pages rank but do not get cited.
5. Fix, publish, and re-measure on a regular cadence.

A one-time audit goes stale fast. Cited pages change often, competitors publish new content, and model updates shift which sources engines trust. Run readiness checks continuously, and refresh pages before their citations decay.

When you compare readiness tools, look at diagnostic depth, how many pages it can audit, how well it connects to your SEO data, and how directly it turns a finding into a content task.

GEO vs. AEO tools: Terminology and overlap

Generative engine optimization (GEO) and answer engine optimization (AEO) describe the same goal: earning mentions and citations in AI-generated answers. AEO grew out of featured snippets and voice answers. GEO comes from research on generative engines such as ChatGPT and Perplexity. Vendors use the terms interchangeably, so judge a tool by what it measures and what it helps you ship, not by its label.

• SEO tools: Optimize for rankings and clicks in traditional search results.
• AEO and GEO tools: Optimize for mentions, citations, and sentiment inside AI answers.
• LLM optimization (LLMO) and AI visibility tools: Other names for the same category, usually with a monitoring focus.

The disciplines share a foundation. Pages that are crawlable, well structured, and authoritative tend to do well in both. Read more in our explainer to generative engine optimization.

Start tracking your AI search visibility with AirOps

AirOps gives you the intelligence to see where your brand stands in AI search and the execution to improve it. Pricing in plain terms: Solo and Pro start free, Pro adds insights across 10+ answer engines and unlimited seats, and Enterprise is custom priced. See the full breakdown on the pricing page.