ChatGPT answers, unedited

Yes. What you're describing is now generally called AI visibility / GEO / AEO tracking: instead of tracking only Google keywords, the tool tracks the prompts/questions people ask AI assistants and measures which prompts cause a client to be mentioned, recommended, or cited.

A few tools are particularly relevant:

1. Peec AI — probably the closest agency fit

Peec is explicitly built for agencies. It lets you:

• Build a library of prompts for each client
• Track those prompts across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Claude and Copilot
• See which prompts produce mentions
• Track position, sentiment, share of voice and citations
• Compare the client against competitors
• Segment prompts by things like topic, persona and funnel stage
• Create client-ready/white-labeled dashboards
• Export to Looker Studio, CSV/API, etc.
• Run automated client reporting across multiple accounts. peec.ai

The particularly interesting part for your use case is that Peec can show which prompts drive the most mentions, rather than simply giving you an overall "AI visibility" score. peec.ai

2. Profound — stronger for discovering the actual AI queries

Profound is especially interesting if by "map which keywords trigger client answers" you mean:

"What are people actually asking AI, and which of those conversations result in my client being recommended?"

Its Prompt Volumes product analyzes millions/billions of real AI conversations and lets you map keywords → related prompts → topics → intent. It can also identify prompts where a particular site was cited. www.tryprofound.com

Then its Answer Engine Insights layer lets you track those prompts daily and see visibility, citations, sentiment, positioning, etc. www.tryprofound.com

That's potentially a very powerful agency reporting workflow:

Client keyword
→ AI questions/prompts
→ AI answers
→ Was client mentioned?
→ Where did AI get the answer?
→ Which competitors appeared?
→ Which content/citations are influencing it?
→ Change over time

The distinction I'd make

One important terminology shift: "keyword" isn't quite the right unit anymore. A traditional SEO keyword like best accounting software can translate into dozens of AI prompts such as "What accounting software is best for a 20-person construction company?" or "Compare X vs Y for a small business." Profound's Prompt Volumes product is specifically designed around that relationship. www.tryprofound.com

If you're thinking about this from the perspective of building an agency reporting product, rather than just buying one, that's an even more interesting question—the gap between keyword rank tracking and "prompt → answer → citation → client outcome" attribution is still pretty substantial.

Yes. The category you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimization) monitoring, or GEO (Generative Engine Optimization) tracking. These tools help agencies answer questions like:

• “Which prompts/keywords cause ChatGPT, Gemini, Perplexity, or AI Overviews to mention my client?”
• “Which competitor appears instead?”
• “What sources is the AI citing?”
• “Are our content changes increasing AI visibility?”

Some tools built for agency reporting:

A typical agency workflow looks like:

1. Build a prompt set per client:

• “best accounting software for startups”
• “top dentists in [city]”
• “alternatives to [competitor]”
• “who should I hire for [service]”
• Run those prompts across AI assistants.
• Report:

• % of prompts where client appears
• competitor comparison
• citation sources
• sentiment/context of mentions
• opportunities (“AI recommends competitors for these 12 queries”)

The main thing to know: these tools generally do not reveal the private prompts real users type into ChatGPT. They monitor a controlled set of prompts and model outputs, giving agencies a repeatable benchmark rather than a complete view of all AI conversations. Ahrefs

For an agency doing monthly SEO-style client reporting, I’d usually look first at:

• AgencyReportr / Indaeo if white-label reports are the priority. AgencyReportr Indaeo
• Ahrefs Brand Radar if you already have an SEO tooling stack and want AI visibility alongside traditional search data. Ahrefs

If you mean specifically “which Google keywords are turning into ChatGPT answers for my clients” (rather than brand mentions), that’s a slightly different use case and the tool shortlist changes.

Yes. What you’re describing is usually called AI visibility tracking, AI search visibility, or prompt tracking rather than traditional keyword tracking.

A few tools are specifically aimed at agencies:

• AgencyAnalytics AI Tracker — probably the strongest fit if you already use AgencyAnalytics. It tracks client visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and AI Mode, with client-ready reporting and competitor comparisons. agencyanalytics.com
• Indaeo — particularly close to your wording. It tracks which prompts trigger mentions, the actual AI answers, citations, competitors, and visibility by prompt. It also supports multiple clients in one workspace. indaeo.com
• Semrush Prompt Tracking — useful if the agency already lives in Semrush. You can monitor custom prompts across ChatGPT, Google AI Mode and Gemini, including mentions, visibility, competitors and cited sources. www.semrush.com
• Perceptiq for Agencies — built specifically around agencies productizing AI-search visibility, with prompt coverage, competitive analysis and reporting. perceptiq.io
• AgencyScope — more reporting-oriented: recurring monitoring, organized prompt evidence and white-label reports for agency retainers. agencyscope.ai

The important distinction

If by "which keywords trigger client answers" you mean:

“For which customer questions/prompts does ChatGPT mention Client X, and what does it say about them?”

then Indaeo and similar prompt-level trackers are closer to what you want than a conventional SEO rank tracker. They can show something like:

That lets an agency report “these are the AI questions where your client is visible/invisible”, rather than simply giving the client a vague AI visibility score. Indaeo explicitly describes prompt-level visibility and full answer breakdowns. indaeo.com

One caveat: “keyword” isn't quite the right unit for AI assistants. A traditional SEO tool tracks accounting firm delaware; AI visibility tools increasingly track a natural-language prompt such as “What are the best accounting firms for startups in Delaware?” The latter better represents how users actually interact with assistants. agencydashboard.io

If you're thinking about building a tool/service like this for agencies, there is an interesting gap between tracking prompts and figuring out which prompts actually matter commercially. I can break down what the existing products do, where they're weak, and what an agency-focused version could offer.

Yes. The category you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization) tracking, or answer engine optimization (AEO) reporting. These tools let agencies define the questions/prompts (often called “keywords,” though they behave more like search queries), run them through AI assistants, and report things like:

• Which prompts cause a client’s brand to appear
• Which prompts produce competitor mentions instead
• What sources/citations the AI uses
• Share of voice across AI answers
• How visibility changes over time Chatobserver Rank AI

Some tools worth looking at:

A typical agency workflow looks like:

1. Create a client prompt library: - “best accounting software for startups”
2. “top plumbers in [city]”
3. “alternatives to [competitor]”
4. “who should I hire for [service]”

1. Run those prompts weekly/monthly through AI assistants.

1. Report: - “Client appeared in 42% of tracked AI answers”
2. “Competitor X appears 18% more often for purchase-intent prompts”
3. “AI cited these pages as supporting sources”

One thing to watch: these tools generally do not reveal the exact hidden internal trigger logic of ChatGPT/Gemini/etc. (there is no public keyword-trigger map). They measure the observable relationship between user prompts and generated answers. SearchinSight AI

For an agency selling this as a client deliverable, I’d prioritize tools with:

• white-label PDFs/dashboards
• prompt-level screenshots or answer archives
• competitor tracking
• citation/source reporting
• scheduled monthly reports

Those features are what turn it from “interesting AI data” into something clients will pay for. Chatobserver AgencyReportr

Yes. What you’re describing is generally called AI visibility tracking, AI search visibility, or GEO/AEO tracking: agencies define a set of client-relevant prompts/keywords, run them across AI assistants, and track whether the client is mentioned, recommended, cited, or beaten by competitors.

A few tools that look particularly relevant:

• AgencyAnalytics AI Tracker — probably the most agency/reporting-oriented option. It tracks client visibility across ChatGPT, Google AI Overviews/AI Mode, Claude, Perplexity, and Gemini, with competitor comparisons and client reporting. agencyanalytics.com
• AgencyScope — specifically built around recurring agency reports. You create prompt sets per client, run them across ChatGPT/Perplexity/Gemini, retain prompt-level evidence, and produce white-label PDFs. agencyscope.ai
• Seenrix — focuses on identifying the specific prompts where competitors are recommended instead of the client, with repeated tracking and agency reporting. www.seenrix.com
• Menra — more extensive assistant coverage and per-prompt visibility/sentiment/citation tracking. www.menra.ai
• Perceptiq — geared toward agencies productizing AI visibility as a service, including prompt clusters, competitor insight, audits, and reporting. perceptiq.io

The important distinction

The better platforms don't just track traditional keywords. They track natural-language prompts such as:

“What are the best accounting firms for startups in Orlando?”

“Which CRM should a 50-person SaaS company use?”

“What are alternatives to [competitor]?”

Then they can report something like:

That gets much closer to answering “Which customer questions trigger an AI answer that includes my client?” than conventional SEO rank tracking.

If you're thinking about this as a product opportunity, there is still an interesting gap: a tool that starts with an agency's existing Google keyword list/Search Console queries, converts those into realistic AI prompts, tests them across assistants, and then maps keyword → prompt → AI answer → client/competitor mention → citation/source → monthly report. Current tools tend to emphasize visibility scores and prompt monitoring rather than that complete mapping. agencydashboard.io

If that's what you mean by “map which keywords trigger client answers”, I can also break down the existing competitive landscape and what an agency-focused version would need to do differently.

Yes. What you're describing is generally called AI search visibility / GEO (Generative Engine Optimization) tracking: tools run the keywords/prompts your clients care about through AI assistants and report when the client is mentioned, recommended, cited, or replaced by a competitor.

A few tools look particularly close to your agency use case:

• Keyword.com AI Search Visibility — probably one of the closest matches if you're already an SEO agency. It specifically tracks which keywords/prompts trigger a brand's appearance in ChatGPT, Perplexity and Gemini, and is designed around agency reporting. keyword.com
• OpenLens — lets you enter a client's brand and customer keywords, then queries seven AI platforms and reports mentions, competitors, attributes and cited sources. openlens.com
• Tower GEO — explicitly built for agencies, with client workspaces, prompt tracking, competitor benchmarking and white-label reports. towergeo.com
• Visibrand — tracks ChatGPT, Claude, Perplexity and Gemini, with multi-client dashboards, competitive reports, API/webhooks and white-label agency reporting. keyword.comvisibrand.appwww.rank.ai
• AgencyScope — particularly focused on the monthly reporting workflow: recurring prompts, evidence archives and white-label PDFs. agencyscope.ai
• Brand Auditor / AI Visibility Platform — interesting because it explicitly offers keyword-level visibility, showing which keywords trigger brand mentions and providing the actual AI answer excerpts. audit.filter.agency

The important distinction

If by "which keywords trigger client answers" you mean:

Keyword → exact AI prompt → assistant → answer → client mentioned? → competitor mentioned? → citation → change over time

then yes, this category exists, but the products vary considerably in how deeply they expose that chain.

For an agency, I'd look for these capabilities specifically:

Keyword.com, OpenLens, Tower GEO and AgencyScope are the ones I'd investigate first depending on whether you prioritize existing SEO workflows, breadth of AI engines, agency management, or reporting.

One caveat: AI assistants don't behave like Google keyword rankings. The same prompt can produce different answers, so good platforms run prompts repeatedly and report trends rather than treating one answer as a definitive "ranking." www.rank.ai

If you're asking because you're considering building this as an agency reporting product, that's actually an interesting gap: the most useful layer may be mapping a client's existing Google Search Console keywords → AI-generated question variants → which assistants answer them → whether the client appears, rather than simply another generic "AI visibility score."

Yes. What you’re describing is usually called AI search visibility / GEO / answer-engine monitoring: instead of tracking “rankings,” the tool tracks a set of buyer keywords/prompts and records what ChatGPT, Gemini, Perplexity, Claude, etc. answer, which brands appear, and which sources get cited.

A few tools are particularly relevant for an agency:

• SEOmonitor AI Search Tracking — probably closest to your wording. It starts with the keywords you already track for SEO and maps them to downstream AI prompt variations, rather than requiring you to manually invent hundreds of prompts. It is explicitly designed for agencies.
• AgencyScope — very agency/reporting-oriented. You define client prompts, monitor ChatGPT/Perplexity/Gemini, track competitors and answer-level evidence, and generate white-label reports.
• LLM Pulse — tracks AI visibility across ChatGPT, Perplexity, Gemini, Google AI surfaces, etc., with white-label dashboards and a Looker Studio template, which could fit an existing agency reporting stack.
• Citations.io — more focused on the actual answer/citation layer: which prompts mention you, which competitors get cited instead, and what sources AI trusts.
• AI Visibility — simpler option with 100 prompts/site, competitors, platform-specific scores, trends, CSV export, and agency white-label access.

The interesting distinction

There are actually two different products hiding inside your question:

1. “Do we show up for these keywords?”
Example:

“best personal injury lawyer in New Orleans”

→ ChatGPT mentions Client A
→ Gemini mentions Client B
→ Perplexity mentions Client A
→ Client's site is cited 2/10 times

This is what most AI visibility platforms do.

2. “Which underlying keywords/intents cause AI to give this answer?”
This is more sophisticated. You'd want to map:

SEO keyword → search intent → AI prompt variations → AI answer → brand mention → citation/source → competitor → change over time

SEOmonitor is interesting here because it specifically argues that one keyword can generate many downstream AI prompt variations. www.seomonitor.com

And Webflow's new Prompt Insights is another example of the direction the market is going: you group questions by topic and see which questions generate brand mentions/citations across ChatGPT, Claude, Gemini and Perplexity. help.webflow.com

If you're thinking about this as an agency product

I'd actually want the reporting to look less like:

AI Visibility: 42% ↑ 8%

and more like:

That gives the account manager an actual story: “Here are the customer questions where AI isn't recommending you, here's who it's recommending instead, and here's the content/citation gap.”

There are already tools getting close to this workflow, but the keyword → prompt → answer → citation → recommendation mapping is still an interesting product gap, especially if you want to connect it to an agency's existing SEO keyword/reporting data.

If you're evaluating this because you want to build or sell something like it, I can also map out the current competitive landscape and show you what these tools do vs. what still isn't being solved well for agencies.

Yes. What you're describing is generally called AI visibility tracking, GEO (Generative Engine Optimization) tracking, or LLM visibility monitoring.

There are several tools that are getting quite close to your specific use case:

• GEO Catalyst — probably the closest fit for an agency workflow. It lets you track client-specific prompts, see whether the client or competitors appear, identify cited sources, and turn prompt-level gaps into client reporting/work items. www.geocatalyst.ai
• AgencyScope — particularly focused on white-label agency reporting. You define client brands, competitors and prompts, run recurring checks across ChatGPT/Perplexity/Gemini, and generate client-ready reports. agencyscope.ai
• LLM Pulse — more like an AI-search rank tracker for agencies, with prompt tracking, visibility/share-of-voice metrics, citation tracking, white-label dashboards and Looker Studio reporting. llmpulse.ai
• Filter Agency's AI Visibility Platform — especially relevant to your wording because it explicitly offers keyword-level visibility, showing which keywords trigger brand mentions and the actual AI answer excerpts for those keywords. audit.filter.agency
• Spektriq — tracks keywords/prompts across ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude, with agency plans and white-label reporting. www.spektriq.com

The distinction I'd pay attention to

If by "which keywords trigger client answers" you mean:

"For Client X, show me the 500 searches/questions that cause ChatGPT, Gemini, Perplexity, etc. to mention, recommend, or cite them — then tell me which ones they're losing and give me something I can put in the monthly report."

That's a little more sophisticated than traditional AI visibility monitoring.

The ideal data model is something like:

Keyword / prompt → AI assistant → client mentioned? → position → competitor mentioned → citation/source → answer excerpt → change over time → reporting metric

For agencies, I'd prioritize prompt-level evidence + historical tracking + white-label reporting, rather than a single "AI visibility score." AI answers are stochastic, so a single query/run isn't particularly meaningful; recurring runs give you a much better signal. www.rank.ai

If you're looking to buy a tool, I can compare the leading options specifically for agency use (number of clients, white-label reports, keyword/prompt limits, APIs, Looker Studio, pricing, and which AI assistants they monitor).

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) tracking: you give a tool a client, competitors, and a set of buyer-intent keywords/prompts, and it repeatedly checks AI assistants to see which queries trigger the client, how they’re described, who gets cited, and which competitors win.

A few tools look particularly relevant for an agency:

• AgencyAnalytics AI Tracker — probably the most interesting if you already use AgencyAnalytics. It puts AI visibility alongside SEO/PPC/social reporting, tracks queries across ChatGPT, Perplexity and Gemini, compares competitors, and produces client-ready reports.
• AgencyScope — very specifically aimed at agencies. You can define client/competitor/prompt sets, run recurring checks across ChatGPT, Perplexity and Gemini, and generate white-label PDFs with the underlying prompt evidence.
• GEO Catalyst — particularly interesting for local SEO agencies. It maps service + location + competitor prompts, identifies where the client is missing, and shows which third-party sources AI is using.
• Rankability — broader agency SEO/GEO platform with prompt, citation, competitor and share-of-voice tracking.
• Siftly — focuses on AI search visibility across ChatGPT, Perplexity and Google AI Overviews, with agency reporting and experiments.
• MentionGEO — more lightweight, with prompt generation, competitor tracking, mention trends and reporting across several AI engines.

There is also a particularly close match to your wording: AI Visibility Platform's keyword-level visibility tool explicitly says it tracks which keywords trigger brand mentions, provides per-keyword scores and AI-generated answer excerpts, and estimates AI search volume.

The distinction I'd pay attention to

If you're building reports for clients, I wouldn't just look for a tool that says:

"Client mentioned 43% of the time."

The more useful system is:

Keyword / prompt → AI assistant → answer → client mentioned? → position/context → competitor mentioned? → citations → source influencing answer → change over time

For example:

That gives an agency something much more compelling to put into a monthly report than a generic "AI visibility score."

If your goal is specifically "map the keywords/prompts that cause AI assistants to recommend a client," I'd shortlist AgencyScope, AgencyAnalytics AI Tracker, GEO Catalyst, and the AI Visibility Platform first. Their approaches differ quite a bit, so I can also compare them on prompt tracking, keyword discovery, ChatGPT/Gemini/Perplexity coverage, white-label reporting, API/Looker Studio integration, and pricing if you're evaluating one for an agency. 

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, GEO (Generative Engine Optimization) tracking, or answer engine optimization (AEO) reporting. These tools help agencies answer questions like:

• “Which prompts/keywords cause ChatGPT, Gemini, Perplexity, or AI Overviews to mention our client?”
• “Which competitor gets recommended instead?”
• “What sources are AI assistants citing?”
• “Is our client’s AI visibility improving month over month?” audit.filter.agencywww.tryprofound.com

Some tools agencies are using:

A typical agency workflow looks like:

1. Build a prompt set
   • “best [service] in [city]”
   • “alternatives to [competitor]”
   • “who should I hire for [problem]”
   • “compare [client] vs [competitor]”

2. Run those prompts across assistants
   • ChatGPT
   • Gemini
   • Perplexity
   • Google AI Overviews/AI Mode
   • sometimes Claude or Copilot www.rank.ai

3. Report metrics
   • Mention rate (% of prompts where client appears)
   • Citation share (how often client sources are cited)
   • Competitor share of voice
   • Sentiment/context of recommendations
   • Which prompts are “winning” or “losing” searchagency.squarespace.com

For an agency, I’d prioritize tools that have:

• white-label dashboards or PDFs
• saved prompt libraries per client
• historical tracking (not one-off screenshots)
• competitor comparisons
• citation/source analysis

If you’re building this as an agency service offering, the closest analogy is SEO rank tracking, but the “rank” is whether an AI assistant recommends the client in the answer. agencydashboard.io

Yes. What you’re describing is usually called AI search visibility / AEO / GEO tracking: you give the platform a set of customer-intent prompts (“best X for Y,” “X vs. Y,” “alternatives to X,” etc.), and it repeatedly checks AI assistants to see which brands get mentioned, recommended, or cited.

For an agency, I’d look at these:

• Peec AI — probably the closest match to your description. It’s explicitly built for agencies: multi-client projects, prompt tracking across ChatGPT, Claude, Perplexity, Gemini and Google AI, competitor benchmarking, and white-labeled client dashboards/reporting. It can also export data/API into Looker Studio, BigQuery, Tableau or Power BI. peec.ai
• OtterlyAI — strong option if you want to build a library of client keywords/prompts and see which prompts trigger mentions/citations, competitors appearing, share of AI voice, etc. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It also has an API. otterly.ai
• Profound — more enterprise-oriented and particularly strong for deeper AI-search/citation analysis. It’s one of the major tools in this category alongside Peec and Otterly. technologyadvice.com

The important distinction

If by “map which keywords trigger client answers” you mean:

“For client Acme, show me the 500 questions people could ask an AI assistant, which ones produce an answer mentioning Acme, which competitors appear, and what sources caused the answer.”

Then yes, these tools are getting very close to that workflow.

A useful agency report would look something like:

Then you can roll that up into AI visibility %, share of voice, citation share, winning/losing prompts, competitor gaps, and month-over-month change. Those are already common metrics in AI-search reporting. www.demandlocal.com

For an agency specifically, I'd start with Peec and Otterly. Peec looks particularly compelling if the end product is a recurring client report/dashboard; Otterly looks particularly compelling if the core job is prompt discovery + monitoring + GEO recommendations.

If you tell me how you currently report SEO to clients (Looker Studio, GA4, Semrush, custom PDF, etc.), I can also recommend the tool/workflow that would fit into that reporting stack best.

Yes. What you're describing is generally called AI search visibility / AEO / GEO prompt tracking: instead of tracking only Google keyword rankings, the tool tracks specific questions/prompts across ChatGPT, Gemini, Claude, Perplexity, etc., and reports whether the client is mentioned/recommended, which competitors appear, and what sources get cited.

A few that look particularly relevant for an agency:

• Indaeo — probably the closest match to your wording. It explicitly tracks which prompts trigger mentions, which sources AI trusts, and where competitors appear. It also supports ChatGPT, Perplexity, Gemini, and Claude. indaeo.com
• AgencyAnalytics AI Tracker — particularly interesting if you're already an AgencyAnalytics shop. It puts AI visibility alongside your existing SEO/PPC/social reporting and tracks client appearance in ChatGPT and Gemini. agencyanalytics.com
• AnswerPeek — very agency-oriented, with white-label reports, prompt tracking, share of voice, and client-ready PDFs. www.answerpeek.com
• SearchFIT — tracks which queries you're winning across ChatGPT, Perplexity, Claude, Gemini and others, with agency reporting. searchfit.ai
• HubSpot AEO — more of an AEO suite, but its prompt-tracking feature is interesting because it can suggest prompts based on the company, competitors and industry rather than requiring you to invent every question yourself. www.hubspot.com

The important distinction

If by "which keywords trigger client answers" you mean:

"For the 200 commercial topics/keywords we care about, automatically turn each into realistic natural-language prompts, run them against AI assistants, and tell me exactly which prompts produce a client mention/recommendation."

then Indaeo, AnswerPeek, and SearchFIT are closer to what I'd investigate first.

If you mean:

"What are actual users typing into ChatGPT, and which exact prompts caused them to discover my client?"

that's a harder problem. There currently isn't a Google Search Console equivalent exposing users' actual ChatGPT/Claude prompts. Most platforms are testing a controlled set of prompts, not observing the private prompts users enter. www.reddit.com

For an agency report, I'd therefore track something like:

Keyword → Prompt → AI engine → Client mentioned? → Recommended? → Position → Competitors → Citations → Cited URL → Change over time

That gives you a much more defensible client story than simply saying "your AI visibility score went from 42 to 51."

If you tell me how many clients you manage and whether you're using Semrush/Ahrefs/AgencyAnalytics already, I can narrow this to the 2–3 tools I'd actually shortlist.

Yes. What you're describing is generally called AI search visibility / GEO / AEO tracking: tools let an agency define a set of buyer-intent queries or prompts, run them across AI assistants, and report which prompts trigger a client's brand, which competitors appear, what sources get cited, and share of voice.

A few tools are particularly close to your use case:

• AnswerPeek — specifically positioned for agencies. It tracks whether ChatGPT and Perplexity recommend clients, scores visibility, and provides white-label reporting. www.answerpeek.com
• Filter Agency's Brand Auditor — probably the closest match to your wording. It has keyword-level visibility, showing which keywords trigger brand mentions, per-keyword scores, AI-generated answer excerpts, search-volume estimates, and priority scoring. audit.filter.agency
• MentionGEO — tracks prompts across ChatGPT, Claude, Gemini, Perplexity and Google AI, including mentions, competitors, citations and reporting for agencies. mentiongeo.ai
• Geopsy — runs real prompts against ChatGPT, Gemini, Claude and Perplexity and analyzes whether/how a brand is mentioned alongside competitors. geopsy.ai
• Texta AI Visibility — focuses on prompt coverage, mention share, citation quality and prompt-level trends across AI answer engines. www.texta.ai

The important distinction

If by "which keywords trigger client answers" you mean:

"For this client's 500 target keywords, tell me which queries cause ChatGPT/Perplexity/Gemini to mention the client, what answer it gives, which competitors appear, and how that changes month-over-month."

Then yes, there are tools for this, but they're still somewhat different from traditional SEO rank trackers.

The better platforms treat a keyword as a prompt/question, e.g.:

That's much more useful for an agency report than simply saying "AI visibility = 62."

One caveat: AI answers are probabilistic, so a single run isn't equivalent to a Google keyword ranking. Research published this year specifically recommends repeated measurements because answers can vary by prompt wording, model, and time. arxiv.org

If you're thinking about building this as an agency reporting product, rather than looking to buy one, that's an especially interesting distinction—I can map out what the existing tools do and where the unserved gap is.

Yes. What you’re describing is generally called AI visibility / AEO (Answer Engine Optimization) tracking: you give the platform a set of client keywords/prompts, it runs them against ChatGPT, Gemini, Perplexity, Claude, etc., and reports which prompts produce a client mention, citation, recommendation, or competitor answer.

A few tools that look particularly relevant for an agency:

• Indaeo — probably closest to your description. It explicitly tracks which prompts trigger mentions, visibility by prompt, sources AI trusts, and competitive gaps, with an agency focus. indaeo.com
• SearchFit — built for agencies, with multi-client workspaces, prompt tracking, competitor comparisons, and branded/monthly reporting. searchfit.ai
• LLM Pulse — particularly interesting if your agency already produces SEO reports; it offers white-label dashboards and a Looker Studio template, alongside prompt/visibility/citation tracking. llmpulse.ai
• Citations.io — tracks actual customer-style prompts across ChatGPT, Gemini, Perplexity and Claude, including whether the client is cited and which competitors/sources appear instead. citations.io
• Chatobserver — records the actual AI answers and citations for tracked prompts, with reporting-oriented visibility metrics. chatobserver.com

The distinction I'd pay attention to

If by “which keywords trigger client answers” you mean:

“For a client's 500 target queries, tell me exactly which queries cause ChatGPT to recommend/cite the client, what it says, who it recommends instead, and how that changes month over month.”

Then yes, there are tools for this now, and Indaeo/SearchFit/LLM Pulse are particularly aligned with an agency workflow.

If instead you mean something more sophisticated:

“Automatically discover the keywords/questions that cause an AI assistant to mention the client, rather than making me supply the keywords.”

That's a slightly different product. Most platforms are still fundamentally prompt trackers: you supply or generate a prompt set, then measure the answers. indaeo.com

And there's an important reporting limitation: these tools generally measure simulated/controlled prompts, not the private, real-world prompts individual users type into ChatGPT. There isn't a Google-Search-Console-equivalent giving an agency the actual query log from ChatGPT users. www.reddit.com

If you're asking because you're considering building this as an agency reporting product, that's actually an interesting gap: keyword → prompt → AI answer → client mention/citation → competitor → recommendation/action → client-facing report could be a very useful workflow.

Yes. What you’re describing is now generally called AI visibility / AEO / GEO tracking: tools that test a set of buyer questions against ChatGPT, Gemini, Perplexity, etc., then show when a client is mentioned, recommended, cited, or beaten by competitors.

A few worth looking at:

• urlAgencyAnalytics AI Trackerturn0search2 — probably the most agency-oriented option. It puts AI visibility alongside SEO/PPC/social reporting and is designed around client reporting.
• urlLlumosturn0search4 — specifically has agency plans, multiple client brands, white-label reports, and API access. Good fit if you're managing lots of accounts.
• urlTrack My Visibilityturn0search1 — lets you add custom prompts, generate persona-based queries, and track ChatGPT, Gemini, Claude and Perplexity.
• urlChatobserverturn0search3 — more focused on analyzing the actual answers, citations, competitors and prompt-level visibility.
• urlAmplevoturn0search7 — interesting if you specifically want to discover the questions that lead AI assistants to recommend a site or competitor.
• urlGoVISIBLEturn0search6 — maps visibility across prompts, services, product categories, competitors and citations, with agencies explicitly listed as a target user.

The important distinction

If by “which keywords trigger client answers” you mean:

“For which searches/questions does ChatGPT recommend my client, and what wording causes that recommendation?”

then you want a prompt/query-level tracker, not merely an AI visibility score.

The ideal agency workflow looks something like:

Client → keyword universe → natural-language prompts → AI engines → answer → client/competitor mentions → citations → sentiment/position → reporting

For example:

That's much more actionable in a client report than saying “AI visibility = 37%.”

One caveat: AI assistants don't behave like Google keyword rankings. Recent research suggests that even small changes in wording can substantially change which brands get recommended, so a tool that tracks only a handful of fixed prompts can give a misleading picture. arxiv.org

If you're asking because you're considering building this as an agency product/reporting feature, there is actually an interesting gap here: mapping the keyword → prompt variations → AI answer → client outcome is more useful than another generic “AI visibility score.”

Yes. What you’re describing is generally called AI visibility tracking, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

The key capability is: give the tool a set of client keywords/prompts → run them across AI assistants → record whether/how the client appears → report the results over time.

A few tools that appear particularly relevant:

• Filter Agency / Brand Auditor — probably the closest match to your wording. It explicitly offers keyword-level visibility, showing which keywords trigger brand mentions, per-keyword scores, and the actual AI-generated answer excerpts. It also has competitor and citation analysis. audit.filter.agency
• Mentions — geared toward agencies, with multi-engine tracking and white-label reporting. It tracks prompts, visibility, sentiment, competitors, and the actual AI answers. www.techradar.com
• Ahrefs Brand Radar — interesting if you want to start with real search keywords rather than manually inventing AI prompts. It uses Ahrefs' keyword database to construct questions and tests AI visibility against them. www.techradar.com
• Semrush AI Visibility Toolkit — a good fit if the agency already uses Semrush and wants AI visibility alongside conventional SEO reporting. www.techradar.com
• Geopsy — tracks actual prompts across ChatGPT, Gemini, Claude and Perplexity and reports mentions and competitors. geopsy.ai
• GEOpta — broader GEO platform with per-query visibility, competitive intelligence, citation tracking and multi-turn conversation tracking. geopta.com

If you're thinking about this from an agency perspective

I'd look for a workflow like:

Client → 100–500 target keywords → prompt expansion → AI platforms → answers → mention/citation/position → competitor comparison → monthly report

For example:

One important caveat: these aren't equivalent to traditional Google keyword rankings. AI answers are probabilistic and can change between runs. Research published this year specifically finds substantial variability in AI citation/visibility results, so a good reporting system should run prompts repeatedly rather than treating one answer as a definitive ranking. arxiv.org

If you're asking because you want to build this into an agency reporting product/workflow, that's actually a slightly different question—and there are some interesting gaps in the existing tools. I can break down what the current tools do, what they don't do, and what an ideal agency version would look like.

Yes. What you’re describing is generally called AI search visibility / GEO / AEO tracking: you give a tool a set of client keywords or, better, natural-language prompts, and it repeatedly asks AI search systems whether the client gets mentioned, recommended, or cited.

A few tools worth looking at:

• OtterlyAI — probably the closest fit for an agency. You can monitor specific prompts across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, etc., and see brand coverage, citations, competitors, and the actual prompt-level results. It also has an API specifically for feeding the data into Looker Studio, Tableau, Power BI, or custom client dashboards. help.otterly.aihelp.otterly.ai
• Profound — more enterprise-oriented, with deeper analysis of how brands appear across AI answers.
• Semrush AI Visibility Toolkit — attractive if the agency already lives in Semrush and wants AI visibility alongside conventional SEO.
• Ahrefs — its Brand Radar/Ahrefs AI visibility functionality is useful if you want to connect traditional search data with AI visibility.

The important distinction

If by “which keywords trigger client answers” you mean:

“For which searches/questions does ChatGPT actually recommend my client?”

then you want prompt-level monitoring, not simply a generic “AI visibility score.”

For example, for a dentist:

That gives an agency something much more reportable than “AI visibility increased 17%.”

One caveat: these aren't equivalent to Google Search Console impressions. AI answers are nondeterministic, and the tools generally estimate visibility by repeatedly running a defined prompt set. Recent research specifically shows substantial variation between repeated AI-search responses, so I would report “visibility across tracked prompts” rather than implying you know the client's total AI-search exposure. arxiv.org

For an agency, I'd start with OtterlyAI because the combination of prompt tracking + competitor/citation data + API/client reporting is particularly aligned with what you're describing. help.otterly.aihelp.otterly.ai

If you're actually thinking about building this capability into your agency's existing SEO reporting, I can also map out what the ideal dashboard/data model would look like (keywords → prompts → AI answers → citations → client KPI).

Yes. This is an emerging category often called AI search analytics, LLM visibility, AI brand monitoring, or AI answer optimization. These tools don't work exactly like traditional SEO platforms because AI assistants don't expose a keyword report in the same way search engines do.

Most platforms focus on questions such as:

• Which prompts mention my client's brand?
• Which competitors appear instead?
• How often does an AI assistant recommend my client?
• What sources are influencing the answers?
• How does visibility change over time?

Some notable tools include:

If your goal is agency reporting

The most useful workflow is usually:

1. Build a library of hundreds or thousands of client-relevant prompts.
2. Run those prompts across ChatGPT, Gemini, Claude, Perplexity, and other assistants on a schedule.
3. Record:
   • Whether the client appears
   • Rank/order of recommendations (where applicable)
   • Competitors shown
   • Sources cited
   • Sentiment or framing
4. Produce monthly reports showing changes in AI visibility.

One limitation

No public API from major AI assistants provides a report like:

"These 3,200 users searched 'best accountants in Dallas.'"

Instead, these platforms infer visibility by testing representative prompts at scale. That means the "keywords" are curated prompt sets rather than actual user query logs.

If you're building a product

If you're considering creating an agency tool, a differentiator would be combining:

• AI visibility tracking
• Traditional SEO keyword data
• Google Search Console
• Competitor AI share of voice
• Automated prompt generation from client websites
• White-label PDF or Looker Studio reporting

That combination is still relatively uncommon and could be compelling for digital marketing agencies that want to report on both search engine and AI assistant visibility in one place.

Yes. The category is usually called AI visibility tracking, LLM SEO tracking, GEO (Generative Engine Optimization) reporting, or AI search monitoring.

These tools are designed to answer questions like:

• “When someone asks ChatGPT ‘best accounting firms in Toronto’, does my client appear?”
• “Which prompts cause competitors to be recommended but not us?”
• “What sources are AI assistants citing?”
• “How often does a brand appear across ChatGPT, Gemini, Perplexity, etc.?”
• “Can I turn this into a client-facing report?”

A few tools agencies are using:

For an agency workflow, the ideal setup is usually:

1. Build a prompt library per client
   • Brand prompts: “Who is [client]?”
   • Category prompts: “Best [service] providers in [city]”
   • Comparison prompts: “[Client] vs competitors”
   • Problem prompts: “How do I solve [customer pain point]?”

2. Track each prompt over time
   • Appears / does not appear
   • Position in recommendations
   • Competitors mentioned
   • Citations/sources used
   • Sentiment or accuracy

3. Report like SEO reporting
   • AI visibility score
   • Share of AI recommendations
   • Lost opportunities (“competitor appears for 18 prompts we don’t”)
   • Content recommendations

One caveat: AI answers are less stable than Google rankings. A single prompt check can change between runs, so stronger tools measure trends across many prompts rather than treating one AI response as a fixed ranking. arxiv.org

If you’re building this for an agency, I’d think of it as “Google Search Console + rank tracking, but for AI answers.” The biggest gap today is not finding whether a brand appears—it’s turning those findings into a report clients immediately understand.

Yes. This is an emerging category of tools, although most don't literally report "keyword triggers" because AI assistants don't work like traditional search engines. Instead, they measure brand visibility, prompt coverage, citation frequency, and share of voice across AI assistants.

Some of the better-known options include:

Most of these let you:

• Create a library of prompts (often hundreds or thousands)
• Run them against ChatGPT, Gemini, Claude, Perplexity, and other AI systems
• Track whether a client's brand appears
• See competitors that appear instead
• Monitor changes over time
• Export reports for clients

If you're asking about "which keywords trigger answers"

That's a bit different.

Unlike Google SEO, AI assistants don't have discrete keyword rankings. Agencies are increasingly using a framework like this:

• Intent cluster
  • "best CRM for dentists"
  • "how should dental practices manage patients"
  • "dental practice software"
• Prompt variations
• Brand appearance %
• Citation sources
• Sentiment
• Competitor appearance rate

The reporting becomes something like:

If you're building this for an agency

Many agencies are creating their own reporting stack instead of relying on a single platform. A typical workflow is:

1. Generate hundreds of prompts from keyword clusters.
2. Query multiple AI assistants on a schedule.
3. Extract mentioned brands, citations, and recommendations.
4. Calculate metrics such as:
   • AI Share of Voice (AI SoV)
   • Citation frequency
   • Recommendation rate
   • Competitor overlap
   • Visibility trends
5. Present the results in dashboards (Looker Studio, Power BI, Tableau, etc.).

This approach gives agencies more control over the prompts and metrics than most off-the-shelf tools.

If your goal is to offer this as a client service, a custom system is often more flexible than existing platforms, especially if you want to report on specific industries or proprietary prompt sets.

Yes. A new category of tools has emerged around AI search visibility or LLM brand monitoring. Instead of tracking where a site ranks in Google, these tools test prompts against AI assistants (ChatGPT, Gemini, Claude, Perplexity, etc.) and report which prompts mention a client, competitors, or specific products.

For agencies, the capabilities typically include:

• Tracking prompts (rather than traditional keywords)
• Measuring brand mentions and citations
• Comparing share of voice against competitors
• Monitoring changes over time
• Identifying which topics an AI associates with a client
• Exporting reports for clients

Some of the better-known platforms include:

If you're specifically asking about mapping keywords that trigger a client answer, most platforms don't use the term "keyword" anymore. Instead they work with prompt clusters, for example:

• "best CRM for nonprofits"
• "how do I manage donor relationships"
• "alternatives to Salesforce Nonprofit Cloud"

The platform runs these prompts across multiple AI assistants and reports:

• Whether your client was mentioned
• Where they appeared (1st, 2nd, etc.)
• Which competitors were mentioned
• What sources or citations were used
• Trends over time

For agencies managing multiple clients, the ideal features are:

• White-label reporting
• Multiple workspaces
• Scheduled prompt testing
• API access
• CSV/Looker Studio exports
• Competitor benchmarking
• Team collaboration

If you mean discovering the prompts that are most likely to generate a client mention (rather than just monitoring a predefined list), that's still an emerging capability. Most tools require you to supply prompts, though some are beginning to suggest new prompt opportunities based on a client's website, products, or industry.

If you're building an agency offering around this, there's also room for a specialized tool that automatically:

1. Crawls a client's site.
2. Generates hundreds or thousands of likely buyer prompts.
3. Tests them across major AI assistants.
4. Clusters prompts by intent.
5. Scores "AI visibility" by topic.
6. Produces client-ready monthly reports showing gains and losses by prompt cluster.

That workflow goes beyond what most current platforms provide end to end.

Yes. A small but growing category of tools is emerging around AI search / AI visibility / LLM optimization (sometimes called LLMO or GEO for Generative Engine Optimization). These platforms try to answer questions like:

• Which prompts mention my client's brand?
• Which competitors appear instead?
• What topics or keywords are associated with my client?
• How often do ChatGPT, Gemini, Claude, Perplexity, and other assistants recommend them?
• How has visibility changed over time?

Most of them don't literally tell you "this keyword triggered this exact answer" because AI assistants don't expose the internal retrieval or ranking signals behind responses. Instead, they simulate thousands of prompts and report on visibility, citations, sentiment, and competitor share.

Some examples include:

• Profound — tracks brand presence across major AI assistants, prompt monitoring, competitor analysis, reporting.
• Goodie AI — focuses on AI search visibility and prompt tracking.
• Peec AI — monitors brand mentions and rankings in AI-generated answers.
• Otterly.AI — tracks prompts, mentions, and visibility over time.
• Scrunch AI — geared toward larger brands with governance and reporting.
• XFunnel — analyzes AI-generated buying journeys and brand presence.

For agencies, these platforms generally provide:

• White-label or client-facing dashboards
• Scheduled reports
• Share of voice across AI assistants
• Prompt libraries organized by topic
• Competitor comparisons
• Trend tracking over weeks or months
• Exportable CSVs and APIs

One important limitation is that no tool can reliably determine the exact keyword that "caused" ChatGPT or another LLM to produce an answer, because those systems don't expose that information. The closest approximation is:

1. Build a library of representative prompts.
2. Group them into keyword/topic clusters.
3. Measure whether the client appears, how prominently, and with what messaging.
4. Track changes after content or SEO updates.

If you're building reporting for SEO clients, many agencies create a framework like:

That tends to be more actionable than trying to map individual keywords one-to-one.

If your goal is specifically agency reporting (serving multiple clients with recurring reports), I can also recommend platforms based on your budget—ranging from under $200/month to enterprise-grade systems.