Answers that do not mention Peec AI

Yes. There are now tools specifically designed to monitor which URLs AI assistants cite, including for publishers.

The two I'd look at first are:

• scrunch.com — probably the closest match to what you're describing. It captures the URLs cited in AI responses and lets you drill down by domain or individual article URL, prompt, platform, and time period. It monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Meta AI and others. Scrunch Help Center Scrunch Help Center
• tryprofound.com — another strong option. It tracks when your content is cited across answer engines and categorizes sources as owned, competitor, earned media, PR wire, social, etc. That could be particularly useful for a newsroom because you can distinguish your reporting from third-party coverage. Profound

What I'd measure for a news publisher

Rather than just "is our site mentioned?", I'd want a dashboard showing:

• Article-level citations: which individual stories are being cited
• Citation rate: how often each story appears in AI answers
• AI platform: ChatGPT vs. Perplexity vs. Google AI, etc.
• Prompt/topic: what questions caused the story to be cited
• Citation position/prominence: whether your reporting is a primary source or buried among citations
• Competitor comparison: whether another publication gets cited instead
• Citation longevity: how long an article continues to appear in answers
• AI referral traffic: whether those citations actually send readers back to your site

Scrunch explicitly supports URL-level citation tracking, citation frequency/consistency, platform and topic filtering, and AI referral metrics. Scrunch Scrunch

One important caveat: these products don't literally observe every AI answer that every user receives. They generally run monitored prompts repeatedly and analyze the resulting answers/citations. So think of the data as measured AI visibility across a representative prompt set, rather than a comprehensive log of every time ChatGPT has ever used your reporting.

For a news organization, I'd actually consider building a controlled prompt library around your coverage areas—e.g. 500–5,000 questions readers might ask—and tracking your articles against competing publications over time. That gives you a much more meaningful "AI citation share" metric than simply counting mentions.

If you tell me roughly the size of your newsroom/site and whether you're interested in ChatGPT, Google AI Overviews, Perplexity, or all of them, I can compare the available tools (including pricing, API access, publisher suitability, and what each can actually measure).

Yes. For your specific requirement—which exact pages on a client’s site are being cited by AI assistants, and how often—I’d shortlist these:

• indexly.ai — probably the closest match. It explicitly tracks daily citation counts by URL, broken down by AI model, and lets you see which pages ChatGPT, Claude, Gemini, Perplexity, and Grok cited. Indexly
• ahrefs.com — useful if you already use Ahrefs. Its report includes the specific pages most frequently cited alongside your brand, as well as platform and topic breakdowns. Ahrefs
• trendos.com — particularly interesting for an agency because it focuses on the sources/pages behind AI answers, including how frequently each page appears. Trendos
• ahoylighthouse.com — more of an AI-visibility/GEO platform than a pure citation monitor. It tracks citations across 10+ AI platforms and ties recommendations to individual pages. Lighthouse

My pick for an agency

I'd start with Indexly. Your question is narrower than general "AI visibility": you want a page-level citation ledger that can answer something like:

/services/seo/ — 47 citations
/blog/best-crm-for-lawyers/ — 31 citations
/pricing/ — 8 citations
/about/ — 0 citations

…and ideally break those numbers down by ChatGPT vs. Perplexity vs. Gemini vs. Claude, over time.

Indexly explicitly advertises that exact URL-level measurement. Indexly

One important caveat: these tools generally measure citations from repeated AI queries, rather than having access to some universal log of everything ChatGPT or Claude has ever cited. So "47 citations" means citations observed in the tool's monitored prompt set—not literally every time an assistant anywhere referenced that page. This is an important distinction when reporting results to clients.

If you're looking for this specifically as an agency/SEO reporting product, I can also compare 5–10 tools on price, white-label reporting, API access, number of prompts, page-level citation tracking, and client dashboards and tell you which I'd buy.

If your goal is specifically “which AI assistants are crawling my pages, what pages are they crawling, how often, and whether that activity is translating into AI visibility”, the best options right now are:

1. 🥇 Cloudflare AI Crawl Control — my default recommendation

developers.cloudflare.com

This is probably the best starting point for most sites. It specifically tracks AI services accessing your site and lets you break activity down by crawler, operator, hostname, path, status code, etc. It can distinguish things such as OpenAI, Anthropic, Google and Perplexity crawlers. Cloudflare Docs Cloudflare Docs

Importantly, it distinguishes different AI behaviors—for example:

• Search — crawling/indexing content for AI search
• Agent — fetching content in response to a user's request
• Training — crawling for model training

That distinction is much more useful than simply looking for something called GPTBot. Cloudflare Docs

Cloudflare currently identifies bots including GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Claude-SearchBot, Claude-User, PerplexityBot and Perplexity-User. Cloudflare Docs

Best if: you want a relatively turnkey dashboard and you're already using Cloudflare.

2. 🥈 Botify — best for serious SEO/GEO teams

botify.com

If you're managing a large site and want to understand AI crawling alongside traditional search crawling, I'd look very closely at Botify.

Its LogAnalyzer uses your actual server/CDN logs and can show which AI bots crawled which URLs. It currently tracks bots such as GPTBot, ChatGPT-User, OAI-SearchBot, PerplexityBot, ClaudeBot and Meta-ExternalAgent. Botify Botify Knowledge Base

The interesting part is that Botify also has an AI Visibility product, so you can connect:

crawl activity → pages discovered → AI search visibility → competitor visibility

rather than treating crawler activity as the end goal. Botify Knowledge Base Botify Knowledge Base

Best if: you're an SEO/GEO team, publisher, ecommerce site, or enterprise with tens of thousands+ URLs.

3. Ahrefs Bot Analytics — best lightweight SEO option

help.ahrefs.com

Ahrefs now has Bot Analytics, which tracks bots across categories including AI assistants, search engines and SEO crawlers. It reports which bots visit, how often they visit, and which pages they crawl. Ahrefs Help Center

I'd pick this if you're already an Ahrefs customer and don't want to introduce another substantial enterprise platform.

One important distinction

There are actually two different things you may want to monitor:

A. Crawling/indexing

“Did OpenAI/Anthropic/Google/Perplexity actually fetch this URL?”

For this, Cloudflare, Botify, Ahrefs Bot Analytics, or your raw server logs are appropriate.

B. AI visibility

“When someone asks ChatGPT/Claude/Perplexity/etc. about my topic, does my site/page actually get mentioned or cited?”

Crawler logs cannot answer that. A bot visiting /best-running-shoes doesn't mean ChatGPT will subsequently cite that page.

For B, you want an AI visibility / answer-engine monitoring platform that repeatedly runs prompts and tracks mentions, citations, competitors, and URLs.

My recommended stack

For a typical company website, I'd do:

Cloudflare AI Crawl Control + an AI visibility tracker

That gives you both sides:

Crawler: “OAI-SearchBot visited /pricing 17 times.”
Visibility: “ChatGPT cited /pricing in 4/100 relevant prompts.”

For a large/technical site, I'd upgrade that to:

Botify LogAnalyzer + Botify AI Visibility

because you get much deeper URL-level crawl analysis and AI-search visibility in the same ecosystem. Botify Botify Knowledge Base

If you tell me roughly how many pages your site has (e.g. 500, 50K, 10M) and whether you're primarily interested in ChatGPT/Claude/Perplexity citations or the actual crawlers, I can narrow this down to the 2–3 best tools and their current pricing/features.

For this use case, I’d use Cloudflare AI Crawl Control + your existing SIEM/DLP tooling.

• Cloudflare AI Crawl Control — identifies AI crawlers, shows requested paths, tracks robots.txt violations, and lets you allow/block crawlers. Cloudflare Docs Cloudflare Docs
• Cloudflare WAF — enforce path-based policies so AI crawlers cannot reach PII-bearing endpoints. Cloudflare Docs
• SIEM (Splunk, Microsoft Sentinel, etc.) — retain crawler request logs and correlate them with identities/data classifications.
• DLP/data discovery — classify which URLs/API responses contain PII, then join that inventory with crawler-access logs.
• Compliance reporting — Cloudflare exposes AI crawler analytics through GraphQL, so you can generate custom evidence/reports. Cloudflare Docs

A useful report should answer: which AI crawler → accessed what PII → when → from where → allowed under which policy → remediation/action → evidence retained.

If you tell me your stack (AWS/Azure/GCP, SIEM, and compliance target such as GDPR, HIPAA, SOC 2, or CCPA), I can recommend a concrete architecture.

If you mean “show me, page by page, which of our landing pages can be discovered/cited by ChatGPT, Gemini, Claude, Perplexity, etc., and diagnose why some pages are missing”, you’re looking for an AI visibility / GEO (Generative Engine Optimization) platform, not a traditional SEO crawler.

My shortlist:

1. Scrunch AI — best fit for landing-page surfaceability mapping

scrunchai.com

Why I’d start here:

• Maps your site structure and pages.
• Shows which pages are getting: - AI citations
• AI crawler activity
• AI referrals
• optimization issues
• Helps answer: “Which landing pages are invisible to AI systems, and what should we fix?” Scrunch Help Center

Best for: SEO/content teams with a large site that need a page-level AI visibility dashboard.

2. Brandlight — strongest for LLM answer → URL attribution

brandlight.ai

Why it’s interesting:

• Tracks AI answers across systems like ChatGPT, Gemini, Google AI Overviews, and Perplexity.
• Maps AI responses back to cited/source URLs.
• Focuses on understanding which landing pages participate in AI-generated journeys. Brandlight

Best for: Enterprise marketing teams asking:

“When someone asks an AI about our category, which of our pages gets pulled in—and which competitor page replaces us?”

3. Preferium — good for prompt-level monitoring + diagnostics

preferium.com

Strengths:

• Runs tracked prompts against ChatGPT, Claude, Perplexity, Gemini, and AI search surfaces.
• Shows which pages are cited and where you appear in answers.
• Adds diagnostics explaining why an answer selected a source. Preferium

Best for: Teams that already know their buyer questions and want ongoing monitoring.

4. LLM Navigator — simpler visibility reporting

llmsearchinsight.com

Useful if you mainly want:

• “Are we mentioned?”
• “Which pages are cited?”
• “Who beats us?”
• “What content gaps exist?” LLM Search Insight

What I would evaluate before buying

The important capability is not just an “AI visibility score.” Look for a table like:

The “why” layer matters because LLM visibility usually fails for different reasons:

• page not crawlable/indexable
• weak entity signals
• content not answering the exact question users ask
• lack of authoritative third-party references
• poor structure for extraction (tables, definitions, FAQs, clear claims)
• competitors having stronger supporting evidence Search Engine Land Comms

My recommendation by company size

• Enterprise / thousands of pages: Scrunch AI + Brandlight
• B2B SaaS with 50–500 landing pages: Brandlight or Preferium
• SEO team adding AI visibility as a new channel: Scrunch AI
• Agency managing multiple clients: Preferium or LLM Navigator

If you tell me your stack (HubSpot/Webflow/WordPress/custom), number of landing pages, and whether you care more about ChatGPT citations vs AI Overviews vs agent traffic, I can narrow this to 1–2 choices.

Yes — what you’re looking for is generally called AI brand monitoring / LLM visibility monitoring, specifically with hallucination or accuracy detection.

A few tools stand out:

• Siftly — probably the closest match to your requirement. It monitors AI answers across ChatGPT, Perplexity, Gemini and other engines, compares what the AI says against your actual product profile, flags mismatches in pricing, features, and capabilities, and can send real-time alerts via Slack, email, or webhooks. Siftly Siftly
• LLM Metrix — focuses heavily on detecting incorrect/outdated brand claims and can alert you when a response is rated high-risk. LLM Metrix
• Citationly — monitors how AI engines describe your company, products and pricing and specifically flags inaccuracies. CITATIONLY
• Product Gale — especially interesting if you're an ecommerce/product company. It tests AI shopper questions, detects when products are misquoted, listed at the wrong price, or beaten by competitors, and alerts when an answer regresses. Product Gale
• Profound — a stronger enterprise-oriented option for broad AI-search visibility and brand monitoring; it’s among the tools identified for enterprise AI monitoring. TechnologyAdvice

What I'd look for

Don't just buy a tool that tells you "your brand was mentioned." You want it to:

1. Run a fixed set of product/customer prompts regularly.
2. Check ChatGPT, Gemini, Perplexity, Claude, etc.
3. Store the actual answer and citations.
4. Compare claims against a canonical source of truth for your products.
5. Detect stale pricing, discontinued products, wrong specs, nonexistent features, bad comparisons, etc.
6. Alert Slack/email/webhook when a previously-correct answer becomes incorrect.

For your exact use case, Siftly or Product Gale look particularly relevant. Siftly is more general AI-brand monitoring; Product Gale is more specifically oriented around AI shopping/product accuracy. Siftly Product Gale

If you tell me what kind of products you sell and roughly how many SKUs, I can narrow this down to the 2–3 tools I'd actually evaluate.

For a freelance SEO consultant managing multiple clients, I’d shortlist these:

• otterly.ai — best fit for client monitoring. It is purpose-built for AI-search/GEO monitoring and tracks brand mentions, citations, sentiment, share of voice, competitors, and prompt-level changes across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It also supports reports/exports and a Looker Studio connector, which is useful for client reporting. Otterly Otterly
• ahrefs.com — best if you already use Ahrefs. It combines traditional SEO data with AI visibility and tracks mentions, citations, AI share of voice, competitors, and custom prompts across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, and Claude. Ahrefs Help Center Ahrefs
• semrush.com — best for an all-in-one SEO workflow. It combines AI visibility with Semrush's conventional SEO tooling and tracks mentions, citations, sentiment, topics, competitors, and visibility across ChatGPT, Gemini, Perplexity and Google AI surfaces. Semrush

My pick

OtterlyAI would be my first choice if your primary service is “I monitor and improve how my clients appear in AI answers.” Its workflow is particularly aligned with an agency/freelancer model: define each client's important prompts → monitor them across engines → compare competitors → track citations/mentions → produce reports. Otterly Otterly AI

If you're already paying for Ahrefs or Semrush, though, I'd probably start with their AI visibility capabilities rather than adding another subscription.

If you tell me how many clients you manage and your monthly budget, I can compare the best 3–5 tools specifically for a freelance SEO consultancy, including cost per client, white-label reporting, API/Looker Studio, prompt limits, and platform coverage.

If you mean a tool specifically designed to turn product/page content into AI-consumable Q&A, the strongest match I found is Jasper’s FAQ Generator Agent. It:

• Identifies questions based on real AI/search query patterns.
• Produces answer-first, extractable Q&A designed for ChatGPT, Perplexity, and Google AI Overviews.
• Outputs FAQ content structured for FAQ schema markup.
• Can use your product documentation and brand knowledge to keep answers grounded.
• Scales across many product pages via Jasper Grid. Jasper Jasper

If you're looking for a more narrowly focused FAQ/schema tool rather than a broader content platform, Optimizely's FAQ Creation Agent is also directly aimed at extracting/generating Q&A pairs from pages and structuring them for generative search citation. optimizely.com

For product FAQ optimization specifically, I'd shortlist Jasper FAQ Generator Agent first.

For a boutique agency that needs to (1) identify which client pages get cited by AI assistants and (2) turn that into repeatable client reports, I’d prioritize tools that give you URL-level citations + exportable reporting, not just “AI visibility scores.” The market is still young, so the best stack depends on your client volume and budget. SEORav

Best fits for a boutique agency

1. citespy.app — best agency-friendly starting point

Best for: small agencies managing several SEO/AEO clients.

Why it fits:

• Tracks which URLs are cited by ChatGPT, Claude, Gemini, and Perplexity.
• Shows competitor citation gaps.
• Provides PDF-style reporting workflows.
• Lower-cost entry compared with enterprise platforms. CiteSpy

Good client report sections:

• AI citation share
• Queries where the client appears
• Pages being cited
• Competitor pages winning citations
• Recommended content fixes

2. tryprofound.com — best for premium retainers

Best for: agencies selling AI search strategy to larger brands.

Strengths:

• Deeper AI visibility research.
• Stronger enterprise reporting and competitive intelligence.
• Better if you want to position “AI search optimization” as a strategic service rather than an SEO add-on. Nick Lafferty

Downside:

• Usually more than a boutique agency needs unless clients have meaningful budgets.

3. indexly.ai — best if you care about page-level citation analytics

Best for: answering “which exact URLs are AI engines trusting?”

Useful metrics:

• Citation counts by URL
• Citation share
• Citation gaps
• Engine-by-engine breakdowns (ChatGPT, Claude, Gemini, Perplexity, etc.) Indexly

This maps well to an agency deliverable:

“These 12 pages generated 78% of your AI citations; these 8 competitor pages are replacing you.”

4. cite.watch — best if you want attribution + reporting

Best for: agencies trying to connect AI visibility to traffic outcomes.

It focuses on:

• AI assistant citations
• Share of voice
• AI referral attribution via tracking. Cite Watch

The reporting stack I’d use for a boutique agency

A practical setup:

Your monthly client report could include:

1. AI Visibility Score

• % of tracked prompts where client is cited
• Top AI-Cited Pages

• URL
• Number of citations
• Which assistants cited it
• Citation Winners & Losers

• Competitor URLs replacing client pages
• Content Opportunities

• Missing FAQs
• Missing comparison pages
• Missing expert content
• Schema/entity improvements
• Actions Completed

• Pages updated
• New content published
• Citation gains

My recommendation by agency size

• 1–10 clients: Start with citespy.app or indexly.ai + Looker Studio.
• 10–50 clients: Add a more robust platform like tryprofound.com.
• Enterprise clients: Build a dedicated AI visibility practice around Profound/CiteWatch-style reporting.

One caution: AI citation tracking is not yet as standardized as Google rankings. A good agency report should show the exact prompts tested, assistants tested, cited URLs, and date range so clients understand the measurement method. SEORav

If your agency needs to aggregate AI-assistant visibility across regions and turn it into client-ready analytics, I’d shortlist these:

My recommendation: Promptwatch

For your exact requirement, Promptwatch looks closest to the sweet spot. It explicitly supports agencies managing multiple clients, tracks ChatGPT, Gemini, Claude, Perplexity and other engines, and supports locations/languages, white-label dashboards, APIs and Data Studio. Promptwatch

That matters because "AI visibility" isn't a single global number. Recent research shows substantial differences between AI assistants even for identical local-business queries, so a serious agency product should let you slice results by client → market → language → assistant → prompt → competitor → citation/source. Visibility Index

If your priority is client reporting

I'd actually look at AgencyScope. It is deliberately narrower: recurring checks across ChatGPT, Perplexity and Gemini, then polished white-label PDFs with prompt-level evidence. That makes it particularly attractive if your agency already has the strategy/SEO stack and just needs a repeatable AI-visibility reporting layer. AgencyScope AgencyScope

If you're already using AgencyAnalytics

Then AgencyAnalytics AI Tracker deserves serious consideration. Its differentiator is that AI visibility sits alongside the client's existing SEO, PPC, social, traffic and revenue data, rather than creating another standalone reporting silo. It covers ChatGPT, Google AI Overviews/AI Mode, Claude, Perplexity and Gemini. AgencyAnalytics

Bottom line:

• Best overall for multi-region/multi-client GEO: Promptwatch
• Best for agency-branded deliverables: AgencyScope
• Best if you already run AgencyAnalytics: AgencyAnalytics AI Tracker
• Best for a more GEO/action-oriented workflow: Llumo or Promptrack

If you're evaluating these for an agency purchase, I can also make you a feature/pricing comparison of the top 5 specifically around regional tracking, number of AI engines, API access, white-labeling, Looker/Data Studio integration, and per-client economics.

For your exact requirement, Promptwatch looks closest to the sweet spot. It explicitly supports agencies managing multiple clients, tracks ChatGPT, Gemini, Claude, Perplexity and other engines, and supports locations/languages, white-label dashboards, APIs and Data Studio. Promptwatch

That matters because "AI visibility" isn't a single global number. Recent research shows substantial differences between AI assistants even for identical local-business queries, so a serious agency product should let you slice results by client → market → language → assistant → prompt → competitor → citation/source. visibilityindex.ai

If your priority is client reporting

I'd actually look at AgencyScope. It is deliberately narrower: recurring checks across ChatGPT, Perplexity and Gemini, then polished white-label PDFs with prompt-level evidence. That makes it particularly attractive if your agency already has the strategy/SEO stack and just needs a repeatable AI-visibility reporting layer.

If you're already using AgencyAnalytics

Yes — this is now a distinct category usually called AI visibility / LLM brand monitoring.

A few tools that fit your exact requirement:

• nightwatch.io — tracks mentions across ChatGPT, Claude, Gemini, Perplexity and Copilot, with positive/neutral/negative sentiment, context, visibility and competitor mentions. Good if you also want traditional SEO/rank tracking.
• promptwatch.com — particularly focused on AI-generated brand sentiment and visibility, with tracking across major LLMs and historical analysis.
• rankr.so — explicitly gives a 0–100 sentiment score, visibility and position by model, with daily tracking and trends.
• mentiongeo.ai — tracks visibility, sentiment and prompt performance over time, plus competitors and citations.
• askairank.com — very close to your wording: monitors how assistants describe your brand and whether sentiment is trending up or down.

My pick

If your primary question is “Are ChatGPT/Claude/Gemini/etc. becoming more positive about my brand over time?”, I'd start with Rankr or Promptwatch.

If you also want SEO + AI visibility in one platform, I'd look at Nightwatch.

One important distinction: these tools generally sample controlled prompts repeatedly rather than secretly monitoring everyone's private ChatGPT conversations. So you're measuring something like “How does AI answer representative customer questions about my brand, and how does that answer change over time?” presenc.ai rankr.so

If you tell me your brand/category and whether you're B2B or B2C, I can narrow this to the best 2–3 options and compare price, models tracked, sentiment methodology, historical data, and alerts.