ChatGPT answers, unedited

If your goal is specifically “Are AI assistants mentioning us, and does that turn into measurable business traffic?”, I’d shortlist these:

1. Profound — my top pick

tryprofound.com

Profound is the strongest choice if you want to connect AI visibility → citations → actual website traffic/conversions rather than merely count mentions.

Its Answer Engine Insights tracks visibility, share of voice, sentiment, positioning, competitors and citation sources across ChatGPT, Perplexity, Claude, Gemini, Copilot, Google AI Overviews/AI Mode and others. More importantly for your question, its Agent Analytics tracks AI crawler activity and human traffic originating from AI systems, including conversion measurement. Profound Profound Profound

Best if: you're building an executive-level dashboard that needs to answer “Did our investment in AI visibility actually produce pipeline/revenue?”

2. Peec AI — best balance

peec.ai

Peec is particularly good for understanding what assistants are saying about you and why. It tracks mention frequency, position, sentiment, share of voice, competitors and the sources/citations influencing AI responses. Peec Peec

It also explicitly positions itself around measuring growth in traffic and conversions from LLMs, making it attractive if you don't need Profound's broader enterprise stack. Peec

Best if: your SEO/content team wants a usable GEO dashboard without buying an enormous enterprise platform.

3. Otterly.AI — best budget option

Otterly is worth considering if you primarily need monitoring of prompts, mentions, citations and competitors without the heavier analytics infrastructure.

Current market comparisons put its entry point around $29/month, substantially below enterprise platforms. Marqeable

Best if: you're validating whether AI visibility is becoming a meaningful acquisition channel before committing serious budget.

What I'd actually measure

Don't make “number of ChatGPT mentions” your primary KPI. I'd build a funnel like:

AI demand
→ prompts people ask
→ brand visibility
→ mention/share of voice
→ citation ownership
→ which pages/domains assistants cite
→ AI referrals
→ sessions/users from AI
→ engagement
→ leads/trials/purchases
→ revenue

That's important because AI visibility and AI traffic are different things. A brand can become substantially more visible in ChatGPT while generating little incremental traffic if the answer satisfies the user without a click.

My recommendation

• Enterprise / serious attribution: Profound
• Growth/SEO/content team: Peec AI
• Early-stage experimentation: Otterly
• Already an Ahrefs customer: investigate Ahrefs Brand Radar before adding another platform.

One other reason to prioritize trend tracking rather than taking a snapshot: AI citation patterns are volatile. For example, recent data showed Reddit's share of ChatGPT citations falling sharply over a few weeks, illustrating how quickly the sources assistants rely on can change. Axios

If you tell me your company type (B2B SaaS, ecommerce, publisher, etc.), approximate monthly traffic, and whether you care more about ChatGPT or all AI engines, I can narrow this to the best 2–3 and compare pricing, attribution methodology, API access, GA4 integration, and reporting.

Its Answer Engine Insights tracks visibility, share of voice, sentiment, positioning, competitors and citation sources across ChatGPT, Perplexity, Claude, Gemini, Copilot, Google AI Overviews/AI Mode and others. More importantly for your question, its Agent Analytics tracks AI crawler activity and human traffic originating from AI systems, including conversion measurement. Profound Profound Profound

Best if: you're building an executive-level dashboard that needs to answer “Did our investment in AI visibility actually produce pipeline/revenue?”

2. Peec AI — best balance

peec.ai

Peec is particularly good for understanding what assistants are saying about you and why. It tracks mention frequency, position, sentiment, share of voice, competitors and the sources/citations influencing AI responses. Peec Peec

It also explicitly positions itself around measuring growth in traffic and conversions from LLMs, making it attractive if you don't need Profound's broader enterprise stack. Peec

Best if: your SEO/content team wants a usable GEO dashboard without buying an enormous enterprise platform.

3. Otterly.AI — best budget option

Otterly is worth considering if you primarily need monitoring of prompts, mentions, citations and competitors without the heavier analytics infrastructure.

Current market comparisons put its entry point around $29/month, substantially below enterprise platforms. Marqeable

Best if: you're validating whether AI visibility is becoming a meaningful acquisition channel before committing serious budget.

What I'd actually measure

Don't make “number of ChatGPT mentions” your primary KPI. I'd build a funnel like:

AI demand
→ prompts people ask
→ brand visibility
→ mention/share of voice
→ citation ownership
→ which pages/domains assistants cite
→ AI referrals
→ sessions/users from AI
→ engagement
→ leads/trials/purchases
→ revenue

That's important because AI visibility and AI traffic are different things. A brand can become substantially more visible in ChatGPT while generating little incremental traffic if the answer satisfies the user without a click.

My recommendation

• Enterprise / serious attribution: Profound
• Growth/SEO/content team: Peec AI
• Early-stage experimentation: Otterly
• Already an Ahrefs customer: investigate Ahrefs Brand Radar before adding another platform.

One other reason to prioritize trend tracking rather than taking a snapshot: AI citation patterns are volatile. For example, recent data showed Reddit's share of ChatGPT citations falling sharply over a few weeks, illustrating how quickly the sources assistants rely on can change.

If your goal is specifically “Are AI assistants mentioning/citing us, and does that translate into incremental traffic?”, I’d shortlist these:

Recent comparisons consistently put Profound, Scrunch, Peec, and Otterly among the leading dedicated AI-visibility platforms. Elmo TechnologyAdvice Bloomiro

The important distinction: visibility ≠ traffic uplift

Most AEO tools are excellent at answering:

• Which prompts produce answers mentioning us?
• How frequently are we cited?
• Which competitors are cited instead?
• Which pages/domains are being cited?
• How has our AI share-of-voice changed?
• Which models/answer engines are improving or declining?

But few can cleanly prove “being cited caused X incremental visits/revenue.” The best setup is usually an AEO tracker plus your web analytics/CRM.

For example:

AI prompt → assistant answer → citation to your page → AI referral visit → conversion/revenue

You want to be able to join those layers rather than rely on an abstract “AI visibility score.”

Scrunch is particularly interesting for this use case because it combines citation intelligence with AI-bot crawl/traffic monitoring, whereas traditional AEO trackers primarily observe the generated answers. TechnologyAdvice

What I'd buy

If you're a SaaS/growth team: I'd start with Peec AI or Profound.

If you're enterprise and need executive reporting, large prompt sets, competitive intelligence and integrations: Profound.

If you're trying to understand the entire funnel—including whether AI crawlers are actually accessing your site: Scrunch.

If you're validating whether AEO is worth investing in: OtterlyAI is the sensible low-cost experiment; current comparisons put its entry plan around $29/month. TechnologyAdvice Omid Saffari

One thing I'd insist on

Before buying, ask each vendor to demonstrate this exact report:

“Show me every prompt where we're cited, the cited URL, the assistant/model, competitor citations, citation frequency over time, and then show me how those citations correlate with sessions, conversions, and revenue in our analytics.”

If they can only show “visibility increased 17%”, that's useful for SEO/AEO monitoring but not really traffic-uplift measurement.

If you tell me whether you're B2B SaaS, ecommerce, publisher, local business, or another type of site, I can narrow this to the best 2–3 and explain exactly how I'd measure AI-driven traffic uplift for your business.

If your goal is specifically “Which AI answers are mentioning/citing us, how is that changing, and did it produce incremental traffic?”, I’d shortlist these:

1. Profound — my pick if traffic uplift matters most

Profound is unusually strong because it combines AI-answer visibility with actual AI-sourced traffic attribution. Its Answer Engine Insights tracks brand visibility, citations, sentiment and competitors across major answer engines, while its Agent Analytics measures AI-driven visitors and conversions. Profound Profound

It also has Prompt Volumes, which is valuable for trend analysis: rather than merely tracking a fixed list of prompts, it claims access to hundreds of millions of real user queries and lets you identify emerging prompt demand. Profound

Choose Profound if you want to answer questions like:

“Our share of AI answers increased 18% after this content campaign. Did that translate into qualified visits and conversions?”

That's much closer to an actual AI-search ROI platform than a simple rank tracker.

2. OtterlyAI — best monitoring/value option

otterly.ai is probably where I'd start if you primarily need AI answer/share-of-voice/citation trends without immediately buying an enterprise platform.

It tracks ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, including brand mentions, citations, visibility and competitor comparisons. It runs tracked prompts daily. Otterly Otterly

A particularly useful feature is its citation-level tracking: you can see which domains/URLs are being cited and how citation positions change over time. Otterly

It now also has Agent Analytics, which can connect server/log data to show AI-agent visits and which pages those agents access. Otterly

So I'd use Otterly for:

• Prompt-level visibility
• Share of voice
• Competitor monitoring
• Citation monitoring
• Trend reporting
• Identifying which URLs AI engines favor

Then connect the traffic side to GA4/your analytics stack.

The important distinction: visibility ≠ traffic

This is the biggest thing I'd look for when evaluating these products.

There are really three different measurements:

1. AI visibility

“Does ChatGPT mention my brand?”

2. AI citation

“Does ChatGPT link to my site, and which page?”

3. Business impact

“Did someone click that citation, visit my site, and eventually convert?”

A lot of GEO/AEO software is excellent at #1 and #2 but much weaker at #3.

Profound explicitly positions Agent Analytics around AI-sourced human traffic and conversions, which is why I'd favor it if your ultimate KPI is traffic uplift rather than visibility alone. Profound

What I'd actually measure

I'd build an AI-search dashboard around these metrics:

• AI Share of Voice — % of relevant answers mentioning you
• Citation rate — % of answers linking to your domain
• Citation position — where your citation appears
• Competitive share — you vs. competitors
• Prompt coverage — % of commercially important prompts where you appear
• Answer sentiment/recommendation rate
• AI referral sessions
• AI referral conversion rate
• Revenue from AI referrals
• New vs. returning visitors from AI
• Visibility → traffic correlation
• Visibility → conversion correlation

And crucially, segment by ChatGPT / Perplexity / Gemini / Google AI / Copilot, because the behavior and citation patterns differ substantially.

My recommendation

If you're buying one system:

Enterprise / serious measurement: → Profound

SMB/mid-market / monitoring-first: → OtterlyAI

Already have sophisticated SEO + analytics infrastructure: → evaluate Botify alongside Profound.

One other reason not to over-index on a single platform: AI-answer visibility is genuinely volatile. For example, recent analysis found Reddit's share of ChatGPT citations falling sharply over a few weeks, illustrating how quickly the underlying answer/citation ecosystem can change. axios.com

If you tell me your company size, approximate monthly website traffic, and whether you're primarily B2B SaaS, ecommerce, media, or local, I can narrow this to the best 2–3 tools and compare pricing, integrations, prompt coverage, and attribution capabilities.

Profound explicitly positions Agent Analytics around AI-sourced human traffic and conversions, which is why I'd favor it if your ultimate KPI is traffic uplift rather than visibility alone.

What I'd actually measure

I'd build an AI-search dashboard around these metrics:

• AI Share of Voice — % of relevant answers mentioning you
• Citation rate — % of answers linking to your domain
• Citation position — where your citation appears
• Competitive share — you vs. competitors
• Prompt coverage — % of commercially important prompts where you appear
• Answer sentiment/recommendation rate
• AI referral sessions
• AI referral conversion rate
• Revenue from AI referrals
• New vs. returning visitors from AI
• Visibility → traffic correlation
• Visibility → conversion correlation

And crucially, segment by ChatGPT / Perplexity / Gemini / Google AI / Copilot, because the behavior and citation patterns differ substantially.

My recommendation

If you're buying one system:

Enterprise / serious measurement: → Profound

SMB/mid-market / monitoring-first: → OtterlyAI

If your goal is specifically “Are AI assistants mentioning/citing us, and is that producing incremental traffic?”, I’d separate the market into two layers: AI visibility monitoring and actual traffic/revenue attribution.

My shortlist

The category is still immature: most platforms are much better at measuring mentions, citations, share of voice and position than proving that a particular AI mention caused incremental revenue. attrifast.com

1. Profound — best if you're enterprise

I'd start here if you're running a meaningful brand, SEO, PR, or growth program.

It is geared toward deep AI-search analytics: tracking prompts/topics, competitors, citations and visibility across major answer engines. Current comparisons consistently put it in the enterprise/deep-analytics tier. www.conbersa.ai

Best question it answers:

“Across the questions our customers ask, how often are we being recommended, by which AI engines, and which sources are those engines relying on?”

The important part is citation-source analysis. If ChatGPT recommends you but cites a third-party review instead of your site, that's a very different optimization opportunity from simply “we weren't mentioned.”

2. Peec AI — probably my pick for a growth team

Peec is particularly compelling if you want prompt-level monitoring + competitor benchmarking + share of voice, without going immediately into an enterprise platform.

It tracks things such as brand visibility, sentiment, competitors and citation sources, with reporting/API capabilities. www.conbersa.ailoudmink.ai

I'd choose Peec if: you have an SEO/content team that wants a recurring dashboard and actionable competitive intelligence rather than a giant enterprise analytics implementation.

3. Otterly AI — best cheap starting point

If you're trying to validate whether AI visibility is actually worth investing in, Otterly is attractive.

It's more monitoring-oriented: prompts → AI answers → mentions/citations/position/sentiment → trend over time. Current comparisons put its entry pricing around $29/month, although engine/prompt coverage varies by tier and add-ons. loudmink.ai

I'd use it for: establishing a baseline before spending serious money.

But here's the important distinction: AI visibility ≠ traffic uplift

If your real KPI is:

“We got featured in ChatGPT last month. Did that cause more people to visit our site?”

I wouldn't rely on an AI-visibility platform alone.

You want a measurement stack roughly like:

AI prompt monitoring
→ Did the assistant mention/cite us?

Citation monitoring
→ Which URL/source did it use?

Referral analytics
→ Did users subsequently arrive from AI platforms?

Conversion/revenue analytics
→ Did those users convert?

Incrementality analysis
→ Did visibility cause additional traffic/conversions versus what would have happened anyway?

That's why newer attribution-focused tools are interesting. One 2026 comparison specifically identifies AI traffic detection and revenue attribution as separate jobs from visibility monitoring, with Attrifast positioning itself around the latter. attrifast.com

The metric I'd actually build

Don't make “number of AI mentions” your north-star metric.

I'd create:

AI Share of Voice
= your appearances / total appearances across tracked commercial prompts

then:

AI Citation Rate
= answers citing your owned/earned sources / answers mentioning you

then:

AI-referred sessions
= sessions attributable to AI assistants

then:

AI-assisted conversion rate / revenue

And finally:

Incremental AI revenue
= observed conversions attributable to AI exposure − estimated baseline conversions

That gives you a chain from “the model talked about us” → “people visited” → “people bought.”

What I'd buy

If you're a startup/mid-market:
Peec + GA4/your analytics + server-side attribution

If you're enterprise:
Profound + your existing analytics/CDP/BI stack

If you're just testing the hypothesis:
Otterly first, then graduate once you know which prompts and engines matter.

If traffic/revenue attribution is the primary objective:
I'd evaluate Attrifast alongside one of the visibility platforms, rather than expecting Profound/Peec/Otterly to magically establish causal uplift. attrifast.com

One caveat: AI answers are stochastic and personalized, so these platforms generally give you a directional measurement of visibility, not a census of every answer every user received. www.conbersa.ai

If you tell me your company size, monthly organic traffic, and whether you care more about ChatGPT/Claude/Perplexity or Google AI Overviews, I can narrow this to the 2–3 tools I'd actually shortlist and compare their current pricing/features.

If your goal is specifically tracking AI answer trends + measuring whether being cited/recommended in AI assistants drives traffic and revenue, you’re looking at a new category usually called AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), or AI search visibility analytics. These tools are still evolving, and most are stronger at visibility measurement than true revenue attribution. www.hubspot.comattrifast.com

Here are the strongest options by use case:

My shortlist depending on your objective

1. “Are we showing up in ChatGPT/Gemini/Perplexity answers?”
→ Start with Profound or Otterly.ai. They are closest to an AI-search equivalent of rank tracking. technologyadvice.com

2. “Did AI mentions create pipeline, leads, or revenue?”
No tool fully solves this yet. The best stack is usually:

• AI visibility platform (Profound/Otterly/Scrunch)
• Web analytics (GA4, Adobe Analytics, etc.)
• CRM attribution (HubSpot, Salesforce, etc.)
• UTM/referral tracking where possible

You want to measure:

• AI citation rate by prompt
• AI share of voice vs competitors
• AI referral sessions
• assisted conversions
• branded search lift after AI visibility gains
• pipeline influenced by AI-assisted discovery

3. “We’re a B2B SaaS/company with high-value customers.”
I’d lean toward:

• Profound for executive visibility reporting
• Scrunch for technical/citation diagnostics
• CRM analytics for revenue attribution

4. “We’re a content/SEO team.”
A broader SEO suite may be more efficient:

• Ahrefs or Semrush + an AI visibility tracker

Metrics worth setting up

A good AI visibility dashboard usually includes:

Visibility

• % of target prompts where your brand appears
• position/order in AI answers
• citation frequency
• competitor citation share

Quality

• sentiment of AI mentions
• accuracy of product/service descriptions
• whether AI recommends you vs merely mentions you

Business impact

• AI referral traffic
• conversion rate of AI referrals
• assisted revenue
• sales opportunities where AI was part of discovery

One caution: many vendors report “AI visibility” but cannot prove incremental traffic or revenue yet. Treat citation share as a leading indicator, then connect it to your analytics stack. www.hubspot.comattrifast.com

If you tell me your company type (B2B SaaS, ecommerce, local business, media, etc.) and size, I can narrow this to a practical stack and budget range.

If your goal is specifically “Did being mentioned/cited in AI answers increase visits, conversions, and revenue?”, I’d narrow the field to three:

1. Profound — my first choice

Profound is unusually strong because it combines AI answer visibility with actual site-traffic analysis. Its Agent Analytics product tracks AI crawlers, identifies pages referenced in AI responses, and measures human traffic/conversions originating from AI-driven search. www.tryprofound.com

Its Answer Engine Insights also tracks:

• brand visibility and share of voice
• exact AI responses
• citations and source URLs
• competitor mentions
• sentiment/positioning
• custom prompts
• daily measurements across answer engines www.tryprofound.com

Why I'd pick it: you can get closer to the business question of “AI visibility → AI referral traffic → conversion”, rather than stopping at a visibility score.

See Profound's AI traffic analytics

2. OtterlyAI — best if you want a cheaper, self-serve option

Otterly is excellent for answering “Are we being mentioned/cited, where, and how is that changing?”

It monitors prompts across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and others, with metrics such as brand coverage, mentions, domain citations, competitors and sentiment. otterly.ai

Its newer citation reporting is particularly useful: you can see which URLs are gaining/losing citations, the prompts where they're cited, and which AI engine produced the citation. otterly.ai

The site currently advertises plans starting at $29/month, making it a much easier starting point than enterprise platforms. otterly.ai

Try OtterlyAI

3. Peec AI — worth considering for agencies/multiple markets

I'd put Peec on the shortlist if you need lots of prompt, competitor, language and market-level monitoring. It's more of a dedicated AI-search visibility/benchmarking layer than an end-to-end attribution system.

The important distinction

I'd separate the measurement stack into three different questions:

1. Visibility:

“Does ChatGPT recommend us?”

Use Profound/Otterly/Peec.

2. Citation influence:

“Which pages and third-party sources cause AI systems to recommend us?”

Profound and Otterly are particularly useful here. Otterly, for example, exposes the specific URLs cited in prompts and their citation trends. otterly.ai

3. Business impact:

“Did those AI appearances generate incremental traffic, leads, pipeline or revenue?”

This is where Profound + your normal analytics/CRM stack becomes much more interesting than an AI visibility score alone. Profound explicitly offers attribution and traffic insights for human visitors coming from AI-driven search. www.tryprofound.com

My recommendation

If you're building an AI-search measurement program, I'd do:

Profound + GA4/Adobe Analytics + CRM

and create a dashboard like:

AI prompt visibility → brand mention → citation → AI referral session → engaged session → lead → opportunity → revenue

That lets you report something much more defensible than “our AI visibility score increased 32%.”

If you're early-stage or budget-conscious, start with OtterlyAI, then add deeper attribution once AI traffic becomes material.

If you tell me whether you're B2B SaaS, ecommerce, publisher, or local/service business, I can also give you a specific 2026 stack and KPI framework for measuring the incremental traffic/revenue from ChatGPT, Perplexity, Gemini, and Google AI Overviews.

If your goal is specifically “Are AI assistants recommending/citing us, and does that create incremental traffic?”, I’d shortlist these three:

1. Profound — my #1 pick

Profound

Profound is unusually well aligned with the two things you're asking for: AI answer visibility and downstream traffic measurement. Its Answer Engine Insights tracks brand mentions, visibility, competitors and citations, while Agent Analytics connects AI activity with actual human traffic and conversions. www.tryprofound.com

The particularly interesting capability is its attempt to measure incremental traffic after an AI mention, rather than relying solely on detectable referral clicks. Profound's recent research found that visits to a brand's site were 1.5–2.5× the forecast baseline during the seven days following an AI mention, and that conventional referral attribution captures only a small fraction of the effect. www.tryprofound.com

That's important because someone can see:

ChatGPT → recommends your company → user remembers the name → later Googles you → visits directly

Traditional analytics may attribute that as Google/direct traffic rather than AI.

I'd choose Profound if you're trying to answer an executive question like:
“How much revenue/traffic are we getting because AI assistants are mentioning us?”

2. Scrunch — best for the AI-search intelligence layer

Scrunch

Scrunch has particularly broad monitoring: ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. It tracks presence, position, sentiment, citations, share of voice, AI referrals and AI-agent traffic. helpcenter.scrunchai.com

I especially like it if your team wants to understand why you're winning or losing AI visibility:

• Which prompts trigger your brand?
• Which competitors are appearing instead?
• Which URLs are being cited?
• Which third-party sources influence the answers?
• Is AI crawler activity increasing?
• Are AI referrals increasing?

It's therefore arguably the stronger SEO/AEO diagnostic platform, whereas Profound has the more compelling story around business impact and attribution.

3. Peec AI — best if you want something simpler

Peec AI

Peec focuses heavily on the marketer-friendly metrics: visibility, position, sentiment, share of voice, prompts and citations. peec.ai

It's a good choice if you mainly need a dashboard answering:

“How often do AI systems mention us, where do we rank, and how does that compare with competitors?”

It's less compelling than Profound if your primary requirement is rigorous incremental traffic/revenue attribution.

What I'd actually measure

Don't make AI mentions your ultimate KPI. Build a funnel:

AI prompts → AI visibility → citations → AI referrals → assisted visits → conversions/revenue

For example:

The last two are the ones most vendors don't fully solve.

My recommendation

If you're buying one platform today: Profound.

If you're building a sophisticated AEO/SEO operation: Profound + your existing analytics stack, with Scrunch as an alternative depending on workflow.

And I would not replace GA4/Adobe/your CRM with these tools. Use the AI-visibility platform to establish exposure, then your analytics/CRM to establish behavior and revenue. The hard problem is connecting the two without pretending that every “direct” visit was caused by an AI answer.

If you tell me whether you're B2B SaaS, ecommerce, publisher/media, local business, or enterprise, I can narrow this down to the best 2–3 options and compare pricing, integrations, prompt coverage, attribution methodology, and API/export capabilities.

If your goal is specifically “are AI assistants mentioning/citing us, and does that translate into incremental website traffic?”, I’d shortlist these:

1. Profound — my pick if traffic uplift matters

Profound is unusually well aligned with the question you're asking because it has two distinct measurement layers:

• Answer Engine Insights: tracks brand mentions, visibility/share of voice, sentiment, citations and competitor performance across AI answers. It can use real-world prompts as well as your own tracked prompts, and runs tracked prompts daily. www.tryprofound.com
• Agent Analytics: connects AI visibility to what happens on your actual site—AI crawler activity, AI-referred human traffic, conversions, and which pages are being referenced in AI answers. www.tryprofound.comdocs.peec.aiwww.tryprofound.com

That makes it the strongest fit if you want a reporting chain like:

AI prompt → assistant mentions you → your page gets cited → user visits → conversion/revenue

rather than simply a “we appeared in 27% of ChatGPT answers” dashboard.

Profound's Agent Analytics overview

2. OtterlyAI — best lower-cost option

Otterly is particularly good if the primary job is monitoring AI answers at scale. It tracks ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot, including brand mentions, domain citations, rankings and competitor visibility. It also has API access and Looker Studio integration. otterly.aiotterly.ai

Its own site currently advertises plans starting at $29/month, making it substantially easier to pilot than an enterprise platform. otterly.aiotterly.ai

The limitation for your specific question: I'd regard Otterly more as AI visibility measurement than a complete incremental-revenue attribution system.

OtterlyAI features

3. Peec AI — excellent for “why are we winning/losing?”

Peec has particularly nice separation between:

• Brand visibility — AI explicitly mentions you
• Source visibility — AI actually cites your domain/content
• Position
• Sentiment
• Share of voice
• Competitor performance
• Prompt-level trends

That distinction is valuable. You can, for example, discover that ChatGPT is frequently citing your content without actually naming your brand, which is a very different optimization problem from not being cited at all. docs.peec.ai

Peec AI

What I'd actually measure

Don't make “AI mentions” your north-star metric. I'd build a funnel:

1. AI visibility

• % of relevant prompts where you're mentioned
• % where you're cited
• Share of voice
• Average position
• Sentiment
• Competitor share

2. Citation quality

• Which URLs are cited?
• Which third-party sites cause the AI to recommend you?
• Which prompts produce citations?
• Citation frequency before/after an optimization

3. Traffic

• Sessions from ChatGPT / Perplexity / Gemini / Copilot, etc.
• Landing pages
• Engaged sessions
• New users

4. Business impact

• Leads
• Signups
• Purchases
• Revenue
• Conversion rate

The crucial point is that AI visibility and AI-referred traffic are different metrics. Peec explicitly documents this distinction between brand/source visibility, while Profound goes further into AI-driven human traffic and conversions. www.tryprofound.comdocs.peec.aiwww.tryprofound.com

My recommendation

If you're evaluating this as a growth/marketing measurement system, I'd run a trial of Profound + your existing GA4/CRM data first.

If you're primarily trying to answer “How often does ChatGPT/Perplexity/etc. recommend us, and how does that compare with competitors?”, start with Otterly or Peec.

If you're at an enterprise where the executive question is “Did our AI visibility work actually generate incremental pipeline/revenue?”, Profound is the one I'd investigate first. Its combination of answer monitoring and AI-traffic attribution is the closest match to that requirement. www.tryprofound.comdocs.peec.aiwww.tryprofound.com

One caveat: incremental uplift is harder to establish than correlation. Seeing AI traffic rise after your visibility rises doesn't by itself prove causality. For a rigorous measurement program, I'd use pre/post cohorts or controlled prompt/content experiments and connect the AI-referral data to GA4 and your CRM.

If your goal is “Are AI assistants mentioning/citing us, and is that actually creating incremental traffic and revenue?”, I’d narrow the field to Scrunch, Profound, and Peec rather than buying a generic rank tracker.

My shortlist

🥇 Best overall for your specific use case: Scrunch

Scrunch is the one I'd investigate first because it covers both sides of the measurement problem:

• What assistants say: brand presence, position, sentiment, share of voice, prompts, citations and competitors.
• What AI systems consume: AI-agent/crawler traffic and the pages being retrieved.
• What humans do afterward: AI-referred sessions, landing pages, conversions and purchase revenue through GA4.
• It lets you compare those metrics over time, so you can see whether an increase in AI visibility/citations is followed by an increase in actual AI-originated traffic and conversions. scrunch.com

That last piece is unusually important. Most AI-visibility products answer “Did ChatGPT mention me more?” They don't necessarily answer “Did that produce $X of additional business?”

Scrunch explicitly supports AI-referred sessions, views, transactions, revenue and conversion rate through its GA4 integration. scrunch.com

Scrunch

🥈 Profound — best if you're an enterprise SEO/marketing org

Profound is stronger if your priority is deep monitoring of the AI-answer landscape: lots of prompts, engines, competitors, citations and enterprise reporting.

It's particularly attractive if you want to answer questions like:

“Across 50,000 category prompts, how has our share of AI answers changed versus competitors, and which sources are influencing those answers?”

Recent comparisons put Profound at the enterprise/deep-analytics end of the market, with broad answer-engine coverage at higher tiers. baarely.com

But I'd pair it with GA4/CRM data if your actual KPI is traffic or revenue uplift.

Profound

🥉 Peec — best clean, marketing-friendly analytics

Peec AI is appealing if you want a less enterprise-heavy interface for monitoring:

• visibility trends
• prompt performance
• competitors
• citations
• which content gets surfaced by specific LLMs.

Peec itself highlights a customer using its visibility data to drive a reported 5× YoY increase in LLM traffic and demo requests. peec.ai

Peec AI

Best cheap starting point: Otterly

OtterlyAI is worth considering if you're not ready for an enterprise platform. It tracks prompts and gives you answer/citation-level analysis across several major AI search engines. Its GA4 approach can also identify human referral traffic from AI searches, although its own documentation notes limitations around Google AI Overviews/AI Mode. peec.aihelp.otterly.aipeec.ai

OtterlyAI

The important measurement distinction

I wouldn't use “AI traffic” as your primary KPI.

I'd build the measurement stack like this:

1. AI visibility
→ % of target prompts where you're mentioned

2. AI position/share of voice
→ Are you #1, #3, etc. vs competitors?

3. Citation share
→ How frequently are your URLs cited?

4. AI crawler/retrieval activity
→ Are AI systems actually consuming your pages?

5. AI-referred sessions
→ Human clicks from ChatGPT/Perplexity/Gemini/etc.

6. Assisted/direct uplift
→ Are branded searches and direct traffic increasing after AI visibility rises?

7. Conversion/revenue
→ Pipeline, purchases, demos or revenue associated with AI-exposed users.

The catch is that AI attribution is inherently incomplete. Someone can see your company recommended in ChatGPT, then Google your brand, and GA4 will credit the eventual visit to Google rather than ChatGPT. Peec explicitly calls out this problem. peec.ai

So if you're trying to prove incremental uplift from being featured in assistant answers, I'd actually run Scrunch + GA4 + Search Console + CRM rather than relying on any single dashboard.

My recommendation by situation

• “I need to prove AI is generating pipeline/revenue.” → Scrunch
• “We're a large SEO/brand team and need deep competitive intelligence.” → Profound
• “We're a marketing team that wants clean visibility analytics.” → Peec
• “I want to start cheaply and see whether this matters.” → Otterly

If you tell me your company size, B2B/B2C, approximate monthly website traffic, and which assistants matter most (ChatGPT/Claude/Perplexity/Gemini/Google AI), I can give you a much more specific 3-tool shortlist with estimated cost and the exact KPI stack I'd use to measure AI-driven uplift.

If your goal is specifically “Did being mentioned/cited by ChatGPT, Gemini, Perplexity, etc. actually increase traffic and conversions?”, I’d separate the problem into two layers:

1. AI visibility: Are assistants mentioning/citing/recommending you?
2. Business impact: Did those appearances generate visits, leads, signups, or revenue?

No single tool is perfect at both.

My shortlist

The market has converged around measuring mentions, citations, share of voice, competitors, prompts and cited sources, rather than pretending AI answers have conventional Google-style rankings. www.elmohq.comattrifast.com

🥇 My pick: Ahrefs Brand Radar + your analytics

Ahrefs Brand Radar is particularly interesting for your use case because it measures mentions, citations, impressions and AI Share of Voice, and lets you track custom prompts across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot. help.ahrefs.com

More importantly, Ahrefs also has Web Analytics, which can measure AI-referred traffic. That gives you a reasonable measurement chain:

Prompt → AI answer → brand mention/citation → click → website session → conversion

That's much more useful than simply reporting “our AI visibility went up 27%.”

Ahrefs AEO / AI visibility tools

🏢 For a large enterprise: Profound

I'd look at Profound if you're running a serious enterprise AEO/GEO program with lots of brands, markets, prompts and stakeholders. Current comparisons consistently position it toward the enterprise end of the market, with deeper answer/citation analytics than the cheaper trackers. attrifast.com

The reason I'd choose it over a lightweight tracker is not simply “more prompts.” It's the ability to turn AI answers into an intelligence/reporting layer for SEO, content, PR and brand teams.

💰 Best value: Peec AI

Peec AI is probably where I'd start for a dedicated AEO team that doesn't need enterprise infrastructure. It focuses heavily on prompt-level visibility, competitor share of voice and citation analysis. www.conbersa.ai

🪶 Cheapest serious starting point: Otterly

If you just want to answer:

“When people ask AI about our category, are we appearing—and who is beating us?”

Otterly is a sensible lower-cost option. Multiple current comparisons put its entry pricing around $29/month, although I'd verify current pricing before purchasing because this category is changing rapidly. omidsaffari.com

Otterly AI

The important part: measuring traffic uplift

This is where I'd not rely on an AEO platform's “estimated traffic” number.

Build your own attribution layer:

AI visibility platform

• Prompt
• AI engine
• Mention
• Citation
• Position/order in answer
• Competitor mentions
• Date

↓

Web analytics

• AI referral source
• Landing page
• Sessions
• Engaged sessions
• Signup/lead
• Revenue

↓

Experimentation

• Before/after citation date
• Pages newly cited
• Organic traffic change
• AI referral change
• Conversion-rate change
• Incremental revenue

This matters because AI visibility and AI traffic are not the same metric. A brand can dramatically increase its AI share of voice without generating much measurable website traffic—particularly when an assistant answers the user's question without requiring a click. Current industry comparisons explicitly identify visibility, AI traffic and revenue attribution as three separate jobs. www.elmohq.comattrifast.com

If I were building the stack

Startup / growth team:
Peec or Otterly + GA4 + Search Console

SEO-heavy team:
Ahrefs Brand Radar + Ahrefs Web Analytics + GA4

Enterprise:
Profound + Adobe/GA4 + CRM/revenue data

Already paying for Semrush:
I'd seriously consider its AI Visibility Toolkit before adding another vendor. Its current base plan includes AI visibility, custom prompts, competitor analysis and mentions from ChatGPT, Google AI, Gemini and Perplexity. www.semrush.com

Semrush AI Visibility Toolkit

Bottom line: If you want one recommendation, I'd choose Ahrefs Brand Radar for measuring AI answer visibility, then connect it to your own analytics/CRM for actual uplift. If you're an enterprise organization where AI-answer intelligence itself is a major function, I'd evaluate Profound alongside it.

If your goal is specifically “Are AI assistants mentioning/citing us, and did that visibility produce incremental traffic or conversions?”, I’d narrow the field considerably.

My shortlist

Current market comparisons similarly put Profound toward the enterprise end, with Peec and Otterly being more accessible dedicated monitoring products. www.xseek.io

🥇 If traffic uplift is the important part: Scrunch

This is the one I'd investigate first.

The interesting distinction is that most AI-visibility platforms answer:

“Did ChatGPT/Perplexity/Gemini mention me?”

Scrunch is trying to answer the much more valuable question:

“Did that AI visibility generate visits and conversions?”

Its GA4 integration can connect AI visibility/citations with referral traffic and conversions, according to a recent hands-on comparison. www.techradar.com

That makes it particularly useful for an executive dashboard such as:

AI visibility → citations → AI referral sessions → engaged sessions → pipeline/revenue

rather than just reporting “our AI share of voice went from 8% to 13%.”

🥈 Profound if you're running a serious enterprise program

Profound is the one I'd look at if you have a large brand, lots of markets/products, and need competitive intelligence and detailed answer-level analysis.

It's particularly useful for questions like:

• Which prompts cause competitors to appear instead of us?
• Which sources are AI engines relying on?
• What is our share of voice by category?
• How does sentiment/recommendation change?
• Which pages are getting cited?
• How does visibility evolve across different AI engines?

The enterprise-oriented tools are increasingly moving beyond simple mention counts toward citation, competitor and perception analysis. alignify.co

🥉 Peec AI if you primarily want AI-search analytics

Peec AI is attractive if your team wants a dedicated GEO/AEO analytics product rather than buying an entire SEO suite.

I'd choose it over Otterly when the team cares about analysis and optimization, not just “send me a report when we're mentioned.”

Ahrefs is the interesting wildcard

If you already use Ahrefs Brand Radar, it's increasingly compelling.

Brand Radar now reports mentions, citations, impressions and AI share of voice, and its underlying dataset is unusually large: Ahrefs says it covers hundreds of millions of search-backed prompts across major AI platforms. help.ahrefs.com

Its big advantage is connecting the AI layer to traditional search, web mentions, Reddit, YouTube and other sources influencing AI visibility. ahrefs.com

The caveat: those AI prompt datasets are proxies for actual user behavior. No vendor can currently give you a perfect equivalent of Google Search Console impressions for ChatGPT conversations. Academic work also shows that generative-search citation rates are highly variable between repeated runs, so I'd favor tools that aggregate lots of observations rather than treating one answer as ground truth. arxiv.org

What I'd actually measure

Don't make “AI mentions” your north-star metric.

I'd build a funnel like this:

1. AI visibility

• % of tracked prompts where you're mentioned
• share of voice vs. competitors
• recommendation/ranking position
• sentiment
• citation rate

2. Citation quality

• Which of your URLs get cited?
• Which third-party sites cause you to be mentioned?
• Which competitors are cited instead?
• Which pages/topics have citation gaps?

3. Actual traffic

• AI referral sessions
• landing pages from AI referrals
• engaged sessions
• new users
• assisted conversions

4. Business impact

• conversion rate
• pipeline
• revenue
• CAC / cost per acquisition
• revenue per AI-referred session

And importantly, separate AI referral traffic from AI influence. Someone can read about your company in ChatGPT, later Google your brand, and convert without ever producing an obvious chatgpt.com → yoursite.com referral. So referral traffic is a lower-bound measurement of AI's impact, not the whole thing.

My recommendation

If I were buying today:

Need to prove ROI → Scrunch
Large enterprise / competitive intelligence → Profound
Dedicated GEO analytics → Peec AI
Smaller team / inexpensive monitoring → Otterly
Already deep in SEO/Ahrefs → Ahrefs Brand Radar

The key question I'd ask each vendor in a demo is:

“Show me one URL that became cited more frequently in AI answers, and then show me the incremental sessions, conversions, and revenue attributable to that change.”

If they can only show you a prettier AI visibility score, you're buying monitoring—not measurement of business impact.

If your goal is specifically “Are AI assistants recommending us, and is that producing incremental traffic/revenue?”, I’d shortlist these:

This category has matured considerably in 2026: the major platforms now track mentions, citations, share of voice, competitors, prompts and answer-level changes across systems such as ChatGPT, Gemini, Perplexity and Google's AI search experiences. getrefine.ai

🥇 My pick: Scrunch AI

Scrunch is the most interesting choice if “traffic uplift from being featured” is the actual KPI rather than simply AI visibility.

Its differentiator is connecting three layers:

AI answer → citation/source → website visit/conversion

Recent testing specifically highlights its ability to connect AI visibility with GA4 referral traffic and conversions, as well as showing which AI crawlers visit your site and which pages they consume. www.techradar.com

That lets you answer questions like:

“We went from being cited in 4% to 11% of relevant AI answers. Did those additional citations actually generate sessions, leads, or revenue?”

That's much more valuable than a generic “AI visibility score.”

🥈 Profound

I'd choose Profound if you're an enterprise marketing/SEO team and want the deepest intelligence layer.

It is particularly strong for tracking how often you're mentioned/cited, competitor share of voice, prompts, sources and changes across AI engines. Multiple 2026 comparisons position it as the enterprise-oriented option. omidsaffari.com

The tradeoff is complexity and cost. It's probably excessive if you're a smaller company just trying to establish whether ChatGPT is sending you meaningful traffic.

🥉 Peec AI

Peec AI is probably the one I'd demo alongside Scrunch.

It's oriented toward multi-engine monitoring, prompt-level analysis and share-of-voice reporting, and is frequently positioned as the mid-market/agency sweet spot. getrefine.ai

I'd favor it if your primary question is:

“How are we performing in AI answers versus competitors?”

rather than:

“How much pipeline did AI-generated visibility create?”

What I would actually measure

Don't make AI mentions your north-star metric. Build a funnel:

AI prompt exposure
↓
Brand mentioned
↓
Brand cited/recommended
↓
Your URL cited
↓
AI-referred visit
↓
Engagement
↓
Lead / signup / purchase
↓
Revenue

Then track:

• AI Share of Voice
• Citation rate
• Position/rank within AI answers
• Citation share vs. competitors
• Unique prompts where you're visible
• AI referral sessions
• AI referral conversion rate
• Pipeline/revenue from AI referrals
• Revenue per AI citation
• Change before/after major content/GEO initiatives

One important caveat: AI visibility and website traffic aren't necessarily positively correlated. AI answers can satisfy a user's intent without them clicking through. Research on Google AI Overviews, for example, has found meaningful traffic displacement in some contexts. arxiv.org

So I'd avoid buying a platform that only reports “you were mentioned 37% more this month.” You want one that can get you as close as possible to incremental business impact.

My recommendation by company size

Startup / small marketing team: Otterly → establish baseline cheaply.
Growth/mid-market: Peec or Scrunch → start connecting visibility to outcomes.
Enterprise: Profound + Scrunch → Profound for market intelligence, Scrunch for the AI-crawler/traffic/conversion layer.

If I were evaluating vendors today specifically for “prove that getting cited by ChatGPT/Gemini/Perplexity increases traffic and revenue,” I'd put Scrunch at #1, then run a head-to-head demo with Profound and Peec. www.techradar.com

If you tell me your company size, monthly traffic, CMS/analytics stack (GA4, HubSpot, Salesforce, etc.), and whether you're B2B or B2C, I can narrow this to the 2–3 tools I'd actually buy and compare their current pricing/features.

If your goal is specifically “Are AI assistants recommending us, and is that producing incremental traffic?”, I’d shortlist these:

My picks

1. Profound — best if AI visibility is a strategic channel

Profound is probably the strongest choice if you're an enterprise or serious growth team. It focuses specifically on answer-engine visibility: prompt-level monitoring, citations, competitors, and increasingly how AI agents interact with your site. builtin.com

The important distinction is that it doesn't just tell you “you were mentioned.” You can investigate which prompts generated the mention, which sources AI relied on, and how your visibility compares with competitors.

2. Ahrefs Brand Radar — best for connecting AI visibility to real search demand

This is especially interesting if you already use Ahrefs. Brand Radar builds its AI queries from Ahrefs' keyword/search database rather than relying entirely on manually invented prompts. It tracks AI visibility across multiple engines and the sources being cited. www.techradar.com

I'd favor this if your team wants to answer:

“Which AI answers matter because there is demonstrable search demand behind them?”

rather than simply counting mentions.

3. Semrush — best all-around marketing stack

If you already have Semrush, its AI Visibility Toolkit is compelling because AI visibility sits alongside conventional SEO, rankings, competitors and content data. www.semrush.com

It's probably the easiest choice for a conventional SEO/growth team that doesn't want to introduce another specialized platform.

4. OtterlyAI — best lightweight/low-cost option

Otterly is a good dedicated monitor if you mainly want to establish a baseline. It automatically queries multiple AI engines and reports mentions, citations and competitor visibility. help.otterly.ai

I'd use it for “How often are we appearing?” rather than as the complete measurement stack.

5. HubSpot AEO — best if HubSpot is already your marketing system

HubSpot's newer AEO product tracks visibility across ChatGPT, Perplexity and Gemini, competitor citations and provides recommendations. Its big advantage is the ability to connect AI visibility with the broader marketing/CRM environment. www.hubspot.com

The important catch: “AI visibility” ≠ “traffic uplift”

This is the part I'd pay the most attention to.

Most AEO/GEO products are good at measuring:

prompt → AI answer → mention/citation → competitor comparison

They're generally not the authoritative source for incremental website traffic.

For that, I'd combine an AI visibility platform with your own first-party analytics:

AI visibility tool
→ tracks whether/where you're featured

GA4 + Search Console + server logs
→ measures actual visits, conversions and referral behavior

CRM / attribution system
→ measures pipeline or revenue

Then build a measurement model like:

AI visibility ↑ → AI referrals ↑ → engaged sessions ↑ → branded searches ↑ → conversions/pipeline ↑

There's a particularly important reason not to simply report “ChatGPT traffic increased 5×, therefore AEO generated 5× growth.” Recent research found that raw ChatGPT referral growth can be heavily confounded by growth of the AI platform itself; using treated vs. untreated pages on the same site gives a much better estimate of incremental impact. arxiv.org

What I'd buy

Small/mid-size SaaS:
Ahrefs Brand Radar + GA4/Search Console

Enterprise / dedicated GEO team:
Profound + GA4/server logs + CRM

Existing Semrush customer:
Semrush AI Visibility rather than buying another platform

Just starting to monitor AI mentions:
OtterlyAI, then graduate to something deeper once you know AI visibility is material.

If you tell me your company size, B2B/B2C, approximate monthly traffic, and whether you care more about ChatGPT/Claude/Perplexity or Google AI, I can narrow this to the 2–3 tools I'd actually evaluate, including current pricing and what each can/can't measure.

If your goal is specifically “Are AI assistants mentioning us, and does that actually produce incremental traffic?”, I’d separate the market into visibility tracking and traffic attribution. Most AEO/GEO tools are much better at the first than the second.

My shortlist

Recent testing also puts HubSpot, Mentions, Semrush, Surfer, Ahrefs, Scrunch and AirOps into the competitive AEO-tool set, with Mentions specifically standing out for an AI-traffic view. www.techradar.com

🥇 If I had to pick one: Profound

Profound

I'd choose Profound for an enterprise/marketing team that wants a proper AI-search measurement program rather than just a rank checker.

You want to track things like:

• Share of AI answers mentioning your brand
• Position/rank within answers
• Competitor share of voice
• Sentiment and recommendation quality
• Which prompts generate mentions
• Which sources AI systems are citing
• Changes over time
• Differences between ChatGPT, Google AI, Perplexity, Gemini, etc.

The important caveat: AI visibility scores are not equivalent to actual user impressions. These products generally run a defined set of prompts and measure what comes back. Community users similarly caution that prompt trackers should be treated as trend indicators rather than an equivalent to Google Search Console. www.reddit.com

🥇 If traffic uplift is the primary KPI: Mentions

Mentions

This is the one I'd investigate first if your question is:

“We got cited/recommended by ChatGPT—did people actually visit our site afterward?”

Recent testing specifically highlighted its AI traffic view, alongside visibility, sentiment, share-of-voice and per-prompt/source analysis. www.techradar.com

I'd still validate its attribution against your own analytics rather than treating its number as causal truth.

💰 Best lighter-weight option: Peec AI

Peec AI

Good fit if you primarily need:

prompt → AI answer → mention/citation → competitor → trend

without buying a heavyweight enterprise platform.

It's particularly attractive for an SEO/content team that wants a dashboard they can actually use every week.

🦦 Best inexpensive broad monitoring: OtterlyAI

OtterlyAI

Otterly currently monitors ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Microsoft Copilot and Claude, with daily monitoring. help.otterly.ai

It tracks brand coverage, citations, competitors and the actual answers generated for your prompts. help.otterly.ai

That's a very good setup for answering “Are we becoming more visible in AI answers?”

The important part: measure incremental traffic, not just AI visibility

I'd actually build the measurement stack like this:

AEO tracker
→ Profound / Mentions / Peec / Otterly
→ tells you when and where you're featured

First-party analytics
→ GA4 + server logs
→ tells you whether AI referrals actually arrived

Search Console
→ tells you whether the intervention also affected conventional search

CRM / conversion data
→ tells you whether those AI visitors became leads, opportunities or revenue

Then create a simple weekly dataset:

AI visibility ↑ → AI citations ↑ → AI referral sessions ↑ → engaged sessions ↑ → conversions ↑ → revenue ↑

This distinction matters because AI-platform traffic is growing rapidly, which can make a raw “ChatGPT traffic increased 5×” statistic misleading. A 2026 study found that separating platform-wide growth from the effect of AEO interventions substantially changed the estimated uplift; the researchers used first-party analytics/server logs and an untreated control group. arxiv.org

What I'd buy

Enterprise / large brand: Profound + GA4/server logs + CRM

Growth-stage SaaS: Mentions + GA4 + Search Console

SEO/content team: Peec AI + GA4

Just starting AEO: OtterlyAI + GA4, then upgrade once you have meaningful visibility

And I would not judge any of them primarily by their proprietary “AI visibility score.” The useful KPI is whether a change in AI visibility is followed by incremental qualified traffic and conversions.

If you tell me your company type (SaaS, ecommerce, publisher, agency, etc.) and approximate monthly site traffic, I can narrow this to the 2–3 tools I'd actually shortlist and compare their current pricing/features.

If your goal is specifically “Are AI assistants mentioning/citing us, and is that visibility producing incremental traffic and conversions?”, I’d separate the market into visibility tracking and actual business attribution.

My shortlist

\*particularly compelling if your CRM/website analytics already live in HubSpot.

🥇 If attribution is the priority: Scrunch

This is the one I'd investigate first for your exact use case. Scrunch goes beyond asking “Did ChatGPT mention us?” and connects AI visibility with AI crawler activity, referral traffic and conversions through GA4. That makes it much closer to an actual AI-search ROI measurement system than a conventional visibility tracker. www.techradar.com

The ideal dashboard is something like:

Prompt → AI answer → citation/mention → landing page → AI referral → conversion/revenue

That's substantially more useful than a generic “AI visibility = 34%” score.

🥇 If you want the deepest AI-answer intelligence: Profound

Profound is probably the stronger choice if your primary job is understanding how AI engines perceive your brand and competitors. Current comparisons put it toward the enterprise end of the market, with deeper competitor benchmarking and prompt-level analysis. getrefine.ai

I'd choose it when you have a dedicated SEO/GEO/AEO team and want questions like:

• Which buyer prompts mention us?
• Which competitors are winning those prompts?
• Which domains are AI engines citing instead of us?
• How does our share of voice change?
• Which products/categories are underrepresented?
• Which sources appear repeatedly in winning answers?

🥇 Best value: Peec AI

Peec AI is probably the sweet spot if you're not looking for a heavyweight enterprise platform. Current 2026 comparisons consistently put it among the strongest mid-market options for multi-engine tracking. getrefine.ai

🥉 Budget option: Otterly

Otterly.AI is attractive if you primarily need ongoing monitoring of ChatGPT, Gemini, Perplexity, Google AI Overviews, etc. It tracks mentions, citations, competitive visibility and trends, and exposes an API. otterly.ai

I'd use it when the question is:

“Are we becoming more visible in AI answers?”

rather than:

“How much incremental pipeline did AI answers generate?”

The important distinction

I'd actually avoid buying a tool based solely on its AI visibility score.

There are really three separate measurements:

1. AI visibility

• Mention rate
• Citation rate
• Share of voice
• Position within answers
• Competitor visibility
• Sentiment

2. AI influence

• Which pages are being cited
• Which third-party sites influence answers
• AI crawler visits
• Which prompts/queries generate citations

3. Business impact

• AI-referred sessions
• Assisted conversions
• Pipeline
• Revenue
• Conversion rate
• Incremental traffic after gaining a citation

Most AEO platforms are strongest at #1 and #2. #3 is still considerably less mature. Recent industry comparisons specifically call out attribution as a separate problem rather than something the standard visibility trackers completely solve. attrifast.com

What I'd buy

If you're running a serious growth program, I'd consider:

Scrunch + GA4 + your CRM
→ best setup if the goal is proving ROI.

Or:

Profound + GA4/CRM
→ best setup if the goal is deep competitive AI-search intelligence and ROI measurement.

For a smaller team:

Peec AI + GA4
→ probably the best cost/complexity tradeoff.

One caveat: don't treat a rise in AI visibility as automatically causal traffic uplift. AI-answer behavior is highly variable across prompts and runs, and emerging research finds that the relationship between generative-answer exposure and downstream traffic can be quite complicated. arxiv.org

If you tell me your company size / approximate monthly organic traffic / whether you use GA4 + HubSpot/Salesforce, I can narrow this to the 2–3 tools I'd actually trial and the metrics I'd use to prove AI-generated traffic uplift.

If you mean tracking whether your brand appears in ChatGPT/Gemini/Perplexity answers and tying that visibility to real traffic or revenue, you’re looking for AI visibility / AEO (Answer Engine Optimization) analytics tools rather than traditional SEO rank trackers. These platforms typically monitor prompts, mentions, citations, competitor share-of-voice, and sometimes referral impact. www.visiblie.comwww.airops.com

My shortlist:

www.airops.com

For measuring traffic uplift specifically, I would not rely on AI visibility software alone. Pair it with:

1. Analytics attribution
   • Track referral traffic from AI assistants where available.
   • Create dashboards in your analytics platform for AI-generated referral sources.
   • Compare conversion rate, revenue per visit, and assisted conversions.

2. Prompt-level measurement

Track:

• “Does the assistant mention us?”
• “Where are we cited?”
• “Which competitors appear instead?”
• “What percentage of target prompts produce a recommendation?”

3. Before/after experiments
   • Establish a baseline of AI mentions.
   • Improve pages likely to be cited.
   • Measure changes in AI visibility and downstream traffic.

A practical stack by company size:

• Startup / lean marketing team: Otterly AI + your analytics platform
• SEO team: Semrush or Ahrefs + AI visibility tracking
• Enterprise / brand monitoring: Profound or AirOps

One caveat: AI referral measurement is still an emerging discipline. Recent research suggests that raw AI referral growth can be distorted by overall growth in AI platforms, so controlled comparisons (treated pages vs. similar untreated pages, or before/after cohorts) are more reliable than simply watching referral counts rise. arxiv.org

If you tell me your company size (startup, SaaS, ecommerce, enterprise) and whether you care more about brand mentions or revenue attribution, I can narrow this to 2–3 best fits.

If your goal is to understand how often your brand is mentioned by AI assistants, how those mentions change over time, and whether they lead to more traffic or conversions, there isn't a single tool that does everything perfectly yet. Most teams combine an AI visibility platform with traditional web analytics.

Here's how the leading options compare:

Best for tracking AI answer trends

These platforms regularly prompt major assistants (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.) with thousands of relevant queries and monitor:

• Whether your brand appears
• Which competitors appear
• Citation frequency
• Position within answers
• How responses evolve over time
• Topics where you're gaining or losing visibility

The strongest dedicated vendors are:

• Profound (enterprise leader)
• Goodie AI
• Peec AI
• AthenaHQ

These are analogous to what SEO tools did for Google rankings, but for AI assistants.

Measuring traffic uplift

This is the harder problem.

AI assistants don't always send referral information consistently, so no tool can perfectly attribute "this visitor came because ChatGPT recommended us."

A practical setup is:

1. Use an AI visibility platform to measure:
   • Share of voice
   • Mention frequency
   • Competitive visibility

2. Use analytics (GA4 or PostHog) to measure:
   • Referral traffic from AI surfaces that provide referrers
   • Growth in branded search volume
   • Direct traffic trends
   • Conversion rates

3. Correlate:
   • AI visibility increases
   • Organic traffic changes
   • Brand search growth
   • Revenue

Measuring true business impact

Many companies now monitor a funnel like this:

AI Share of Voice
        ↓
Brand Mentions
        ↓
Referral Sessions
        ↓
Signups
        ↓
Revenue

The AI visibility tools typically own the top of the funnel, while GA4 or PostHog measure the downstream outcomes.

If you're a startup or smaller team

A cost-effective stack is:

• Peec AI or Goodie AI for AI visibility
• Google Analytics 4 for acquisition metrics
• Google Search Console for branded search growth
• Looker Studio for dashboards

If you're an enterprise

A more comprehensive stack is:

• Profound for AI answer monitoring
• Adobe Analytics or Google Analytics 4 for web analytics
• Snowflake or Databricks for data warehousing
• Looker or Tableau for executive reporting

One important limitation applies across all vendors: AI assistants are evolving quickly, and attribution is still less mature than traditional SEO analytics. Today's tools are generally strongest at tracking visibility and competitive share of voice, while measuring incremental traffic and revenue caused by AI recommendations often requires combining those platforms with your own analytics and experimentation.

If your goal is specifically tracking AI answer trends and proving traffic/business uplift from being featured in ChatGPT, Gemini, Claude, Perplexity, and AI Overviews, I'd split the market into two categories:

1. AI visibility platforms (measure mentions, citations, share of voice)
2. Analytics/attribution platforms (measure visits, conversions, and revenue)

The best teams use one from each category.

1. Profound (Best overall for enterprise)

Strengths:

• Tracks thousands of prompts
• Share of voice across multiple AI assistants
• Competitor comparisons
• Historical trends
• Executive dashboards

Ideal if you're a large SaaS company or consumer brand running an AI search program.

Community discussions consistently place it among the strongest enterprise offerings. www.reddit.comwww.reddit.com

2. AthenaHQ

Strong on:

• Prompt monitoring
• AI answer trends
• Citation tracking
• Competitive intelligence
• Reporting

Often compared directly with Profound for enterprise teams. www.reddit.comwww.reddit.com

3. Peec AI

A good balance between price and features.

Tracks:

• Mentions
• Rankings inside AI answers
• Competitors
• Prompt clusters
• Visibility changes

Popular among startups because it's much cheaper than enterprise platforms. www.reddit.comwww.reddit.com

4. Otterly.AI

One of the easier products to start with.

Tracks:

• ChatGPT
• Gemini
• Perplexity
• Google AI Overviews

Great for marketing teams that don't need enterprise reporting. www.reddit.comwww.reddit.com

5. Semrush AI Visibility Toolkit

If you already use Semrush, this is probably the easiest addition.

Advantages:

• Existing SEO data
• AI visibility
• Keyword research
• Content recommendations

TechRadar rated it among the leading AEO platforms, especially for teams already invested in the Semrush ecosystem. www.techradar.com

Measuring actual traffic uplift

This is where many platforms still fall short.

To measure business impact, you want:

• AI referral sessions
• Conversion rate by AI source
• Revenue by AI assistant
• Assisted conversions
• Returning visitors from AI

The strongest approach is to combine AI visibility tracking with first-party analytics. Recent research emphasizes using first-party referral logs and comparing treated vs. untreated content to separate genuine optimization gains from overall growth in AI traffic. arxiv.org

A practical stack might look like:

• Visibility: Profound, Peec AI, or Otterly
• Traffic: GA4 + server logs
• Revenue: GA4 conversions or your warehouse/BI tool
• SEO overlap: Semrush or Ahrefs

Emerging products worth watching

Several newer vendors focus heavily on attribution and AI referral intelligence:

• Surface Rank
• Orion
• Enception
• Storyzee
• EvidentlyAEO

These platforms emphasize tracking AI-generated referrals, citation sources, prompt-level visibility, and optimization recommendations, though many are newer and have less market validation than the established enterprise vendors. www.surfacerank.com

My recommendation by company size

• Startup (<$10M ARR): Otterly.AI or Peec AI + GA4
• Growth SaaS ($10M–100M ARR): Semrush AI Visibility + Peec AI
• Enterprise: Profound or AthenaHQ + first-party analytics
• Agencies: Profound or Semrush AI Visibility with client reporting

The key metric to optimize for isn't just "mentions." The most useful programs track the full funnel:

1. Share of AI answers
2. Citation frequency
3. Recommendation rate (being recommended vs. merely cited)
4. AI referral traffic
5. Conversions and revenue from AI referrals

That combination provides a much clearer view of whether improved visibility in AI assistants is translating into measurable business outcomes.

If your goal is both (1) tracking how often your brand appears in AI assistant responses and (2) measuring whether those appearances increase traffic, you'll likely need a combination of AI visibility software and web analytics. No platform can directly tell you "ChatGPT featured you, therefore X visitors came from that answer" with perfect precision because AI assistants don't expose comprehensive referral or impression data. The best tools estimate visibility and combine it with first-party analytics. arxiv.org

Here's how the leading options compare:

1. Profound (best overall for enterprise)

urlProfoundturn0search0

Strengths:

• Tracks visibility across ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overviews
• Monitors citations and share of voice
• Tracks sentiment
• Detects AI crawler activity
• Measures AI referral traffic from server logs
• Competitive benchmarking

This is probably the most mature platform if AI search is becoming a major acquisition channel. www.tryprofound.com

2. Goodie

urlGoodieturn0search4

Goodie emphasizes a complete workflow:

• prompt research
• visibility monitoring
• optimization recommendations
• ROI measurement
• attribution

If your leadership wants dashboards showing business impact rather than just AI mentions, it's one of the stronger options. higoodie.com

3. Elmo (best open source)

urlElmoturn0search3

If you're technical or privacy-conscious:

• self-host
• customize prompts
• inspect methodology
• integrate with your own analytics stack

Good fit for engineering teams that don't want SaaS lock-in. www.elmohq.com

Measuring traffic uplift

No AI visibility platform alone can prove causality. The strongest measurement stack combines:

• AI visibility tool (Profound, Goodie, Elmo)
• Google Analytics 4
• Server logs (to identify AI crawler activity and referrals)
• Search Console
• CRM (HubSpot, Salesforce, etc.)

Then measure:

• AI referral sessions
• branded search growth
• direct traffic changes
• assisted conversions
• conversion rate of AI visitors
• revenue from AI referrals

Recent research suggests it's important to compare optimized pages with a control group on the same site to separate the effect of optimization from the overall growth of AI assistant usage. arxiv.org

Enterprise workflow

A common workflow is:

1. Track ~500–5,000 important prompts.
2. Record which brands appear.
3. Monitor cited sources.
4. Compare share of voice against competitors.
5. Publish or update content targeting gaps.
6. Measure changes in:
   • AI citations
   • referral traffic
   • conversions
   • revenue

My recommendations by company size

• Enterprise (Fortune 500): Profound
• Mid-market SaaS: Goodie
• Technical/startups: Elmo
• Already invested in SEO: Semrush AI Visibility Toolkit
• Budget-conscious teams: Elmo or combine GA4 with custom prompt monitoring

For organizations that want to connect AI visibility to business outcomes, prioritize platforms that integrate first-party traffic and conversion data rather than relying only on "mention counts." Industry comparisons increasingly highlight attribution as the key differentiator among newer GEO/AEO platforms. www.techradar.com

If you mean tracking whether your brand/product is being recommended inside ChatGPT, Gemini, Claude, Perplexity, AI Overviews, etc., and tying that visibility to website traffic or conversions, you’re looking at the emerging AI visibility / AEO (Answer Engine Optimization) analytics category.

The strongest options right now:

My shortlist by use case

If you’re a large company measuring AI answer market share

• Pick Profound.
• Strongest fit when you need dashboards, executive reporting, competitor benchmarking, and attribution work. www.tryprofound.com

If you’re a startup trying to see “do we show up when buyers ask AI?”

• Pick Otterly AI or Peec AI.
• Easier to start with focused prompt sets and monitor changes over time. getrefine.aiotterly.ai

If you already pay for SEO tooling

• Add AI visibility features through Semrush or Ahrefs rather than creating another dashboard. www.elmohq.com

Metrics I would actually track

Don’t just track “mentions.” Build a funnel:

1. AI visibility
   • % of target prompts where you appear
   • rank/position in recommendations
   • share of voice vs competitors

2. AI answer quality
   • sentiment
   • accuracy of claims
   • citations pointing to your site vs competitors

3. Traffic impact
   • AI referral sessions in analytics
   • conversion rate of AI visitors
   • assisted conversions from AI-originated journeys

4. Business impact
   • pipeline/revenue influenced by AI discovery

A common setup is:

• AI visibility platform (Profound/Otterly/Peec)
• Google Analytics + Search Console
• CRM attribution (HubSpot, Salesforce, etc.)
• a fixed library of buyer prompts tracked weekly

One caveat: no tool can perfectly attribute “this customer bought because ChatGPT recommended you,” because assistants often influence discovery before a direct visit. The best systems combine answer visibility + referral traffic + CRM attribution rather than relying on a single AI mention score. otterly.aiwww.tryprofound.com

For a B2B SaaS company, ecommerce brand, agency, or publisher, the best choice would differ quite a bit.

If your goal is to understand how often your brand appears in AI assistants (ChatGPT, Gemini, Claude, Perplexity, etc.) and whether those mentions drive traffic, you'll likely need two categories of tools:

1. AI visibility / answer tracking (Are you being cited or recommended?)
2. Traffic & attribution analytics (Do those mentions send visitors?)

No single platform does both perfectly yet because AI assistants don't consistently expose referral or impression data.

Here's a comparison of some of the strongest options.

Best overall: Profound

Profound is currently one of the most mature enterprise platforms.

It tracks:

• prompts related to your industry
• whether your brand appears
• ranking within AI answers
• citation sources
• competitor share of voice
• changes over time
• multiple LLMs

It's especially useful if executives want dashboards showing "AI search market share."

Best for AI SEO: Scrunch AI

Scrunch AI focuses on helping companies optimize for AI assistants rather than just Google.

It monitors:

• answer inclusion
• source citations
• prompt clusters
• competitor comparisons
• opportunities where competitors appear but you don't

Many companies use it as the AI equivalent of traditional SEO rank tracking.

Measuring actual traffic uplift

This is harder because ChatGPT and other assistants don't expose search impressions like Google Search Console.

The best stack is usually:

• Google Analytics 4
• Google Search Console
• Microsoft Clarity
• Server logs
• AI visibility platform (Profound/Scrunch)

Track metrics like:

• Referral traffic from ChatGPT
• Referral traffic from Perplexity
• Referral traffic from Gemini (when available)
• Referral traffic from Claude
• Organic traffic growth after appearing in AI answers
• Conversion rate by AI referral
• Landing pages most frequently visited from AI

If you're an enterprise

A common stack looks like:

• Profound → monitor AI visibility
• Semrush → traditional SEO
• GA4 → traffic
• BigQuery → data warehouse
• Looker Studio → dashboards

This lets you correlate:

• AI mentions
• organic rankings
• referral traffic
• conversions
• revenue

If you're a startup or agency

A more cost-effective stack is:

• Scrunch AI
• GA4
• Search Console
• Ahrefs

This provides most of the functionality at a substantially lower cost than enterprise platforms.

What still isn't possible

No tool can reliably tell you:

• exactly how many times ChatGPT displayed your brand
• total impressions across all AI assistants
• click-through rate from AI answers
• precise ranking across every user conversation

Those platforms don't currently provide public impression or click data comparable to Google Search Console. Today's tools estimate visibility by repeatedly testing representative prompts and tracking how AI responses change over time, then combining that with your site's own referral and conversion analytics.

If your primary KPI is traffic uplift from AI assistants, I'd recommend combining an AI visibility platform (such as Profound or Scrunch AI) with GA4 and your server logs. That gives you both leading indicators (how often you're recommended) and outcome metrics (visits, conversions, and revenue).