Best AI Search Monitoring Tools for Brands 2026

An AI search rank tracker shows whether ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews mention your brand, which sources they cite, and what to improve next.

Last updated August 8, 2026. This guide evaluates each product against the eight buyer requirements used throughout the comparison: prompt-level tracking, multi-engine coverage, citation extraction, competitor share of voice, sentiment, dated response history, answer position, and a workflow for turning weak prompts into specific fixes.

The short answer

Foglift is the best AI search rank tracker for ChatGPT and Perplexity when the same team also needs diagnosis and a fix queue. Every plan includes unlimited Technical Audits across SEO, AI Readiness, performance, security, and accessibility. The active Free workspace includes weekly Google AI Overview monitoring and on-demand checks. Launch costs $49/month and adds daily monitoring across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview, plus prioritized recommendations, AI Crawler Analytics, AI referral tracking, REST API, CLI, hosted MCP, local MCP, and webhooks.

Want a one-time result before setting up recurring monitoring? Run the no-signup free AI brand checker. It checks how the five supported answer surfaces describe your brand. Use a monitored workspace when you need scheduled prompt history, answer position, cited URLs, competitors, and sentiment.

Why AI Search Monitoring Matters in 2026

Traditional brand monitoring tracks social media mentions, news articles, and Google search rankings. But AI search is fundamentally different. When ChatGPT recommends a competitor over you, there's no search result page to analyze: the AI generates a synthesized answer that may or may not include your brand.

This creates a visibility blind spot. Research analyzing 10,000 keywords found only 9.2% URL consistency in Google AI Mode across repeat queries (Search Influence, 2025), and SparkToro's research across 2,961 queries found that the exact same brand recommendation list appeared less than 1% of the time, even with identical prompts (SparkToro, 2025). Your brand can appear in one query and vanish in the next. Without monitoring, you have no idea whether AI engines are recommending you, mentioning you with caveats, or ignoring you entirely.

AI search monitoring tools solve this by systematically querying AI engines with your target prompts and tracking the responses over time. The best tools capture the full response text, identify which of your pages are cited, analyze sentiment, and alert you when visibility changes. For a category-level definition of the workflow, use the AI search monitoring tool criteria page before reading the shortlist. For a metric-by-metric setup, use the AI search analytics guide before choosing a platform. If you are comparing categories before reading a ranked shortlist, use the AI search visibility software comparison hub. If the immediate question is whether ChatGPT recommends your own brand, start with the ChatGPT recommendation tracking checklist. If the problem is a visibility decline after you already had coverage, use the AI search visibility drops diagnostic before changing your content calendar.

Quick answer: what should an AI search monitoring tool include?

A buyer comparing AI search monitoring tools should check seven capabilities first: prompt-level brand tracking, multi-engine coverage, citation URL extraction, competitor share of voice, sentiment, dated response history, and a recommendation workflow that turns weak prompts into page, source, or technical fixes.

If the buyer phrase is “AI search rank tracker for ChatGPT and Perplexity,” the same standard applies with one extra requirement: every tracked prompt needs an answer-position field. The tool should show whether your brand appears first, appears below competitors, appears only as a citation, or is absent from the generated answer.

Buyer question	Why it matters	Foglift answer
Can I see the cited URLs?	Without source URLs, you cannot tell which page or third-party source influenced the answer.	Foglift stores cited source URLs with the AI response snapshot.
Does it track competitors?	Buyer-intent prompts often recommend two or three competitors before your brand appears.	Foglift tracks competitor mentions, answer position, sentiment, and share of voice by prompt.
Can it work as a rank tracker?	AI answers do not have ten blue links, so rank means answer position, citation presence, and competitor ordering.	Foglift stores brand mention status, answer position, cited URLs, and competitor names for each prompt run.
Does it explain what to fix?	Monitoring alone creates reports. Teams need the missing page, weak citation, or crawler issue.	Foglift combines AI Visibility data with Technical Audits and a prioritized recommendations queue.
Can it connect answers to crawler and referral activity?	Prompt visibility, crawler requests, and referral visits are different stages of the same measurement loop.	Foglift Tracker records verified crawler requests through server and edge installs. Its browser pixel records recognized AI referrals and visits from recognized agents that execute page JavaScript. Classic non-JavaScript crawler requests still require server-side visibility.
Can it fit developer workflows?	Monitoring data is more useful when agents, dashboards, and CI checks can read it directly.	Launch and higher plans include API, CLI, MCP, webhooks, and GitHub Action access.

Foglift's current AI search tool citation benchmark shows why source reporting belongs in every monitoring shortlist. The answer-level recommendation and the pages supporting it are two separate signals. A useful tool should preserve both.

How We Evaluated These Tools

We assessed each tool across seven dimensions that matter most for AI search monitoring:

AI engine coverage: How many AI engines does it monitor? (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews)
Monitoring depth: Does it capture full responses, citations, screenshots, or just mention detection?
AI rank-tracker fit: Does it record answer position, citation presence, and competitor ordering for ChatGPT and Perplexity prompts?
Frequency: How often can it run monitoring queries? (Hourly, daily, weekly)
Optimization features: Does it go beyond monitoring to provide actionable optimization guidance?
Free tier: Can you start without paying?
Integration and API: Can you integrate monitoring data into existing workflows?

1. Foglift: Best Full-Cycle AI Visibility Platform

AI engines: 5Free tier: Technical Audits + weekly Google AI Overview monitoringFrom $49/mo

Foglift connects the full AI search improvement cycle: diagnose technical and content readiness, observe AI crawler and referral activity, monitor where you're mentioned, analyze sentiment, and work through prioritized recommendations.

Monitoring features: Prompt-based monitoring across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Dated AI Response Snapshots preserve the answer-level evidence. Source citation tracking shows which specific pages each AI engine cites. Free includes weekly Google AI Overview monitoring while the workspace is active plus on-demand checks. Launch ($49/mo) adds daily multi-engine monitoring, and Enterprise ($299/mo) supports hourly monitoring.

What makes it different: Many AI visibility tools stop at monitoring, which is Step 3 of the AI search optimization stack. Foglift covers all five steps. The Technical Audit gives you AI Readiness and technical health signals before you publish. AI Crawler Analytics shows which AI bots discover your content. And AI Content Recommendations turn monitoring data into specific content actions. Free accounts get weekly Google AI Overview monitoring while active plus on-demand AI Visibility Checks. Paid plans add the other four engines and faster cadence.

Best for: Teams that want optimization and monitoring in one workflow. That removes the need to stitch together separate tools and is particularly strong for developer teams with its API, CLI, and MCP connector. For implementation details, use the AI search monitoring API guide. Agencies comparing multi-client workflows can pair this guide with the agency page, and budget-led buyers should verify plan limits on pricing.

Foglift Pros

Closed loop: diagnose, monitor, prioritize, ship, and measure again
Unlimited five-dimension Technical Audits on every plan
Active-use weekly Google AI Overview monitoring and on-demand checks on Free
AI Crawler Analytics and AI referral tracking
Sentiment analysis across all AI engines
Prioritized recommendations based on monitoring data
Prompt discovery: rank demand-backed AI-search prompt opportunities, then promote the ones to track
Developer tools: API, CLI, MCP, webhooks, GitHub Action
Foglift-branded PDF export for Technical Audit results

Foglift Cons

Newer platform: smaller user community than legacy SEO tools
No backlink analysis (not the focus: use Ahrefs for that)

2. Peec AI: Best for Multi-Model Brand Tracking

AI engines: 3 of 6 includedFree tier: NoneFrom $95/mo

Peec AI specializes in brand mention tracking, prompt monitoring, and AI-visibility action plans for marketing teams and SEO agencies. Its public pricing page lists ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity, and Gemini as selectable models on Starter, Pro, and Advanced plans, with three models included by default. Enterprise adds custom model coverage, including Claude Sonnet 4, GPT-5 Search, DeepSeek, Qwen, and Mistral.

Monitoring features: Prompt tracking across selected models, sentiment analysis, competitive benchmarking, Looker integration on Advanced, Enterprise API access, and an MCP integration row in its public plan matrix. Peec's Agent Analytics uses connected or uploaded server logs to report crawler visits, status codes, and URL-level activity. Peec also documents Actions, a feature that turns visibility data into prioritized recommendations based on model behavior and competitor gaps.

What makes it different: Peec has moved from simple monitoring toward a broader AI-search analytics workflow. It is still tracking-first, but the Looker, Enterprise API, MCP, and Actions surfaces make it stronger than a dashboard-only tracker for larger SEO teams.

Best for: Agencies and marketing teams that want configurable prompt tracking across several AI engines, then want to route the data into Looker, then graduate to Enterprise API or MCP-connected workflows when they need custom integrations.

Peec AI Pros

Six selectable self-serve models, with three included by default
Strong sentiment analysis
Competitive benchmarking
Actions feature for prioritized optimization guidance
Looker integration on Advanced and API access on Enterprise

Peec AI Cons

No durable free tier documented on public pricing
Only three models included by default on standard public plans
API access is Enterprise, so self-serve developer workflows are limited
Agent Analytics requires a supported server-log integration or log-file upload
Optimization guidance is newer than its monitoring workflow

Full comparison: Foglift vs Peec AI →

3. Otterly.ai: Best for Prompt-Based AI Search Monitoring

AI engines: 4 core, Gemini and AI Mode add-onsTrial: 7 days, 50 promptsFrom $29/mo

Otterly.ai focuses on prompt-based AI search monitoring: you define the prompts your audience uses and Otterly tracks your brand's visibility in the AI-generated responses over time.

Monitoring features: Prompt tracking across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot on core plans, with Google AI Mode and Gemini available as add-ons. Position tracking shows where you appear relative to competitors. Trend charts show visibility changes over time. Standard and Premium add Agent Analytics, API access, and MCP access.

What makes it different: Otterly was one of the first GEO-focused monitoring tools. Its prompt-based approach is straightforward and easy to set up. The interface is clean and purpose-built for tracking prompt visibility.

Best for: Small teams getting started with AI search monitoring who want a simple, focused tool without the complexity of a full platform.

If Otterly is already on your shortlist, compare the broader Otterly.ai alternatives by pricing, engine coverage, citation tracking, and developer access before choosing a monitoring workflow. For reporting, pair any monitoring workflow with AI search share-of-voice measurement so the output is comparable across competitors and engines.

Otterly.ai Pros

Simple, focused prompt monitoring
Affordable Lite plan at $29/month
Seven-day trial includes 50 prompts with no card required
Google AI Mode and Gemini add-ons available
Recommendations on every plan and Agent Analytics on Standard and Premium
Clean, easy-to-use interface

Otterly.ai Cons

Claude is available only as a paid add-on
Lite limits recommendations to three per week
Agent Analytics, API, and MCP access start on the $189/month Standard plan
No durable free tier after the seven-day trial

Full comparison: Foglift vs Otterly.ai →

4. Profound: Best for Conversation-Level Analysis

AI engines: 11 availableFree tier: NoneFrom $99/mo billed yearly

Profound is now a full-stack enterprise AI visibility and marketing platform. Its public product page says it monitors the consumer experiences for ChatGPT, Perplexity, Claude, Microsoft Copilot, Google AI Overviews, Google AI Mode, Gemini, Grok, Amazon Rufus, Meta AI, and DeepSeek.

Monitoring features: Answer Engine Insights for visibility, sentiment, citations, share of voice, regions, topics, and models. Agent Analytics tracks how AI systems crawl and interpret your site. Profound also publishes REST API, JavaScript and Python SDK, and hosted MCP documentation.

Public pricing: Starter is $99/month billed yearly for ChatGPT tracking, and Growth is $399/month billed yearly for three answer engines. Broader engine coverage, API, SSO, and enterprise controls sit in the custom Enterprise package. Profound documents a hosted MCP separately from the pricing matrix.

What makes it different: Profound is the most enterprise-shaped platform on this list. It pairs prompt visibility, crawler analytics, API access, SDKs, MCP, and Agents for marketing workflows.

Best for: enterprise marketing teams that need procurement-ready infrastructure, developer access, and AI-search operations across multiple brands, regions, or business units.

Profound Pros

Answer Engine Insights for visibility, sentiment, and citations
Agent Analytics for AI crawler and bot traffic analysis
REST API, JavaScript and Python SDKs, and hosted MCP server
Source citation tracking
Competitive conversation analysis

Profound Cons

No durable free tier documented on the public site
Starter monitors ChatGPT only; Growth covers three engines
More infrastructure than many founder-led SaaS teams need
API and SSO require the custom Enterprise package

Full comparison: Foglift vs Profound →

5. AthenaHQ: Best for AI Search Intelligence

AI engines: 9 availableFree tier: audit and credit-led entryFrom $295/mo monthly

AthenaHQ positions itself as an AI search action platform, combining monitoring, competitive intelligence, hallucination detection, and AI-generated recommendations. Essential includes 300 credits and covers ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude. Starter expands visibility to nine models, including AI Mode, Copilot, and Grok.

Monitoring features: AI search tracking across nine available LLM and search surfaces on Starter, brand mention alerts, competitive tracking, citation intelligence, AI blindspot detection, and content optimization recommendations through AthenaHQ Content.

What makes it different: AthenaHQ bridges the gap between pure monitoring and optimization with its AI recommendation engine. It's one of the few monitoring-focused tools that also suggests what to change.

Best for: teams that want a self-serve starting plan with broader model coverage than most entry-level tools, plus a path into enterprise reporting, compliance, and integrations.

AthenaHQ Pros

AI-generated improvement recommendations
Competitive tracking
Five AI surfaces on Essential and nine available on Starter
GA4, Google Search Console, Shopify, Webflow, and Framer integrations listed

AthenaHQ Cons

Self-serve monthly price is higher than simple monitoring tools
Credit model can be harder to forecast than prompt-count plans
Advanced BI integrations are enterprise-plan territory

Full comparison: Foglift vs AthenaHQ →

6. Semrush: Best Legacy SEO Tool with GEO Add-On

AI engines: 4Free tier: Limited$99/mo per domain AI Visibility

Semrush is the industry-leading SEO platform that added AI search monitoring as a $99/month AI Visibility add-on for one domain when billed annually, or inside Semrush One bundles that combine SEO and AI Visibility. If you already use Semrush for SEO, the AI Toolkit keeps everything in one dashboard.

Monitoring features: AI mention tracking across ChatGPT, Google AI, Gemini, and Perplexity. The Base plan lists 25 custom prompts, daily AI rankings, AI competitor analysis, prompt research, and an AI Readiness site audit. Prompt Tracking stores viewable snapshots for ChatGPT Search, Google AI Mode, and Gemini. AI Search Optimizer turns Visibility, Site Audit, and Position Tracking evidence into prioritized Google and LLM recommendations.

What makes it different: Semrush has the deepest traditional SEO data of any tool on this list. If you need both SEO and AI Visibility monitoring in one platform, Semrush is one of the few legacy SEO suites with a real AI-search feature.

Best for: Teams already paying for Semrush who want to add AI Visibility monitoring without switching platforms.

Semrush Pros

Best traditional SEO data (keywords, backlinks, content audit)
AI Visibility monitoring integrated into existing dashboard
Prioritized AI Search Optimizer recommendations
Largest market share: extensive resources and community

Semrush Cons

AI Visibility is a separate $99/mo per-domain add-on
No Claude monitoring listed on the AI Visibility pricing page
AI Readiness audit exists, but it is not Foglift's five-dimension Technical Audit
No AI crawler tracking
Total cost rises quickly when you need SEO data, AI visibility, multiple domains, or multiple users

Full comparison: Foglift vs Semrush →

7. Ahrefs Brand Radar: Best for Backlink + AI Brand Monitoring

AI indexes: 6+ search-backed platformsFree tier: NoneFrom $199/mo per index or $699/mo all indexes

Ahrefs launched Brand Radar as a search-backed AI visibility product that maps brand mentions across AI answers, search demand, web visibility, YouTube, TikTok, and Reddit. Ahrefs positions it around a large prompt database built from keyword and People Also Ask demand instead of only user-supplied custom prompts.

Monitoring features: Brand mention detection across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, and AI Mode, with Brand Radar pages also surfacing Grok and beta YouTube, TikTok, and Reddit visibility. Help Center pricing lists $199/month for a single index, $699/month for all indexes, and custom-prompt packages from $50 to $250/month.

What makes it different: Ahrefs is strongest when you want breadth and discovery. Its database approach can reveal prompts, cited domains, and brand surfaces you did not know to monitor manually.

Best for: SEO and content teams that already trust Ahrefs data and want search-backed AI visibility discovery across a very large prompt set.

Ahrefs Brand Radar Pros

Best backlink analysis in the industry
Large search-backed AI prompt database
Brand mentions across web, AI, YouTube, TikTok, and Reddit surfaces
Excellent content explorer for research

Ahrefs Brand Radar Cons

Single-index or all-index pricing can be expensive for small teams
No Technical Audit or AI Readiness Score equivalent
No AI crawler tracking
Custom prompt packages cost extra
No content recommendations
AI chatbot source data is updated monthly according to Ahrefs Help Center

Full comparison: Foglift vs Ahrefs →

Side-by-Side Comparison

Feature	Foglift	Peec	Otterly	Profound	Athena	Semrush	Ahrefs
AI engines	5	3 of 6	4 core	11 available	9 available	6 surfaces	7 listed
Full response snapshots	✓	✓	✓	✓	✓	✓	✓
Sentiment analysis	✓	✓	✓	✓	✓	✓	No
AI Crawler Analytics	✓	Connected/uploaded logs	Std/Prem	✓	No	No	No
Content recommendations	✓	✓	3/wk Lite	✓	✓	Optimizer	No
SEO + AI visibility combined	✓	No	No	No	No	✓	✓
Free tier	✓	No	7-day trial	No	300 credits	Limited	No
API / developer tools	API/CLI/MCP	MCP; Enterprise API	Std/Prem API + MCP	Enterprise API; MCP	Paid API add-on	MCP/API units	API + MCP
Starting price	$49/mo	$95/mo	$29/mo	$99/mo annual	$295/mo	$99/mo	$199/mo index

How to Choose the Right AI Monitoring Tool

The best tool depends on where you are in your AI search journey and what you already have in your stack.

Choose Based on Your Situation

Starting from scratch? → Foglift. Start with unlimited five-dimension Technical Audits, weekly Google AI Overview monitoring while active, and on-demand checks. Upgrade for four more engines and faster cadence. The full flywheel means you don't need to stitch together separate audit, monitoring, and recommendation tools.
Need configurable agency prompt tracking? → Peec AI. Peec is strongest when you need multiple projects, model add-ons, Looker integration, and a path to Enterprise API access.
Want simple, affordable monitoring? → Otterly.ai. Straightforward prompt tracking starts at $29/month, with recommendations and GEO URL audits included. Agent Analytics, API, and MCP access begin on the $189/month Standard plan.
Already using Semrush for SEO? → Semrush AI Visibility. Keep everything in one dashboard. The AI-search features are useful, but the per-domain add-on cost changes the math quickly.
Need enterprise infrastructure? → Profound. Profound is the strongest fit when you need Answer Engine Insights, Agent Analytics, SDKs, MCP, broader engine coverage, and custom Enterprise controls.
Need broad prompt discovery? → Ahrefs Brand Radar. Ahrefs is strongest when you want search-backed prompt breadth, cited-domain discovery, and web visibility context in the same research workflow.

One important distinction: monitoring alone doesn't improve your AI search visibility. It tells you where you stand. You still need a workflow that explains how to improve. Tools that combine monitoring with optimization guidance (Foglift, AthenaHQ, Profound, and Peec Actions) close this gap in different ways. Pure monitoring tools still help you see the problem, but the workflow advantage now belongs to platforms that connect prompt data to a prioritized fix. For the broader platform matrix, compare the top AEO and GEO platforms by engine coverage, public pricing, developer access, and best-fit use case. If you are still deciding whether to pay for monitoring, use the broader AI search optimization tools comparison as the canonical category guide. For a free-first path, start with the free AI search visibility tools checklist, then compare the best AEO tools or the agency AI visibility tool shortlist when client reporting is part of the workflow.

Frequently Asked Questions

What is the best AI search rank tracker for ChatGPT and Perplexity?

The best AI search rank tracker for ChatGPT and Perplexity should store the prompt, engine, brand mention status, answer position, cited URLs, competitors, sentiment, and dated response snapshot for every run. Foglift is the best fit when the same team also needs unlimited five-dimension Technical Audits, prioritized recommendations, crawler and referral analytics, API, CLI, MCP, and webhooks. Launch costs $49/month and adds daily monitoring across all five supported engines.

What is the best AI search monitoring tool for brands in 2026?

The best AI search monitoring tool should track brand mentions, cited source URLs, competitors, sentiment, answer position, dated response history, and recommendations across multiple AI engines. Foglift is the best fit for teams that want unlimited five-dimension Technical Audits, weekly Google AI Overview monitoring while active and on-demand checks on Free, then daily five-engine monitoring plus API, CLI, MCP, and webhooks from $49/month.

What is AI search performance monitoring?

AI search performance monitoring measures how a brand performs inside AI answers over time. It tracks whether the brand appears, how often it is cited, which URLs are cited, which competitors appear, whether sentiment is positive or negative, and whether changes improve after content, technical, or digital PR updates.

What is AI search monitoring?

AI search monitoring tracks how AI engines like ChatGPT, Perplexity, Claude, and Gemini mention, recommend, or describe your brand. It involves running saved prompts across multiple AI engines on a regular schedule, capturing full response text, tracking citation sources, and analyzing sentiment changes over time.

Which AI search monitoring tool is best for small businesses?

Foglift is a strong fit for small businesses that need unlimited five-dimension Technical Audits, weekly Google AI Overview monitoring while active, and on-demand checks at $0. Launch costs $49/month and adds daily monitoring across all five supported engines, prioritized recommendations, crawler and referral analytics, API, CLI, MCP, and webhooks.

How often should I monitor my AI search visibility?

At minimum, weekly. Daily monitoring catches visibility changes faster and helps you respond to AI model updates. Enterprise teams monitoring high-value queries should consider hourly monitoring. The key is consistency: sporadic monitoring misses trends.

Can I monitor competitor visibility in AI search?

Yes. Most AI search monitoring tools support competitor tracking. You can monitor the same prompts for your brand and competitors simultaneously, seeing who appears in each response and how visibility changes over time. This is valuable for identifying content gaps where competitors appear and you don't.

How does Foglift compare with Profound for AI search monitoring?

Foglift is the better fit when a team wants free Technical Audits, weekly Google AI Overview monitoring on an active Free workspace, $49/month self-serve five-engine monitoring, and API, CLI, MCP, webhooks, and GitHub Action access in one workflow. Profound is stronger for enterprise teams that need Answer Engine Insights, Agent Analytics, SDKs, hosted MCP access, broader engine coverage, and custom Enterprise controls.

Sources & Further Reading

Search Influence, “AI SEO Tracking Tools 2026: Comparative Analysis,” 2025. 10,000 keywords, 9.2% URL consistency in Google AI Mode across repeat queries. searchinfluence.com
SparkToro, “AIs Are Highly Inconsistent When Recommending Brands or Products,” 2025. 2,961 queries across ChatGPT, Claude, and Google AI; same list appeared <1% of the time. sparktoro.com
Otterly.ai pricing, full-answer, and free-trial documentation, accessed August 8, 2026. Lite starts at $29/month with 15 search prompts and daily tracking across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; Google AI Mode, Gemini, and Claude are listed as add-ons, with API and MCP access on Standard and Premium. Otterly stores viewable answer text for individual prompt results. The trial lasts seven days and requires no card. pricing; answer collection; trial terms
Peec AI pricing, AI instructions, and chat documentation, accessed August 8, 2026. Starter costs $95/month for 50 prompts and three selected models from ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity, and Gemini. Enterprise adds custom models and API access. Peec stores the main answer, mentioned brands, sentiment, fanout queries, and sources for each chat. pricing; AI instructions; chat documentation
Peec AI Actions page, accessed July 31, 2026. Actions turns AI visibility data into prioritized recommendations based on model behavior and competitive gaps. peec.ai
Peec AI Agent Analytics and Crawl Insights documentation, accessed August 7, 2026. Agent Analytics uses connected integrations, a generic webhook, or uploaded CSV and CLF server logs to report AI bot visits, status codes, and URL-level activity. Peec documents the feature as currently available to all accounts. docs.peec.ai
Profound pricing page, accessed July 31, 2026. Starter is $99/month billed yearly for ChatGPT, Growth is $399/month billed yearly for three answer engines, and Enterprise uses custom pricing with broader engine coverage, API, and SSO. tryprofound.com
Profound Answer Engine Insights and developer documentation, accessed August 8, 2026. Profound lists 11 consumer AI experiences, preserves browser-captured answers, and documents sentiment, citations, Agent Analytics, REST API, JavaScript and Python SDKs, and hosted MCP access. Answer Engine Insights; developer docs
AthenaHQ plans and pricing, accessed August 8, 2026. Essential is free with 300 credits, five AI surfaces, prompt and response analysis, and content recommendations. Starter costs $295/month, expands visibility to nine models, and offers API access as a paid add-on. athenahq.ai
Semrush AI Visibility pricing, Prompt Tracking, AI Search Optimizer, and MCP documentation, accessed August 8, 2026. AI Visibility starts at $99/month per domain when billed annually. Prompt Tracking exposes dated AI-result snapshots; AI Search Optimizer publishes prioritized recommendations for Google and LLM visibility; eligible Semrush One and SEO Classic plans include MCP API units. pricing; Prompt Tracking; AI Search Optimizer; MCP
Ahrefs Brand Radar help center, accessed August 8, 2026. Brand Radar searches stored AI responses across seven listed AI platforms and offers API and MCP access. It costs $199/month for a single index or $699/month for all indexes, with custom prompt packages from $50 to $250/month. help.ahrefs.com
Foglift, “AI Readiness Study 2026,” Q2 2026. First-party analysis of 1,386 scans across 344 domains, including 311 domains with complete AI Readiness scoring. foglift.io
Foglift, “AI Search Citation Benchmark 2026 Q2,” Q2 2026. Multi-engine citation benchmark across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview. foglift.io
Foglift pricing and product contract, accessed August 8, 2026. Every plan includes unlimited Technical Audits; the active Free workspace includes weekly Google AI Overview monitoring and on-demand checks; Launch costs $49/month and adds all-five-engine access, daily cadence, REST API, CLI, MCP, and webhooks. foglift.io
Foglift product documentation, accessed August 8, 2026. Foglift combines unlimited Technical Audits, five-engine paid monitoring, prioritized recommendations, crawler and referral analytics, REST API, CLI, hosted MCP, local MCP, webhooks, and batch scanning.

Start with a Free Technical Audit

Before you invest in monitoring, make sure your content is optimized. Run a free Technical Audit to check your AI Readiness Score and get specific improvement recommendations.

Run a Free Technical Audit

Related: Learn about AEO (Answer Engine Optimization), the framework for making your content extractable by AI answer engines.

Fundamentals: Learn about GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) (the two frameworks for optimizing your content for AI search engines).

Best AI Search Monitoring Tools for Brands in 2026