ChatGPT answers, unedited

Yes. The category is usually called AI visibility tracking, GEO (Generative Engine Optimization) tracking, AEO (Answer Engine Optimization) monitoring, or AI search analytics. These tools are designed for agencies to answer questions like:

• “Which client queries cause ChatGPT/Gemini/Perplexity to mention us?”
• “Which prompts cause competitors to appear instead?”
• “What sources are AI assistants citing?”
• “How is our visibility changing month over month for client reporting?”

Some tools that fit this use case:

The workflow these platforms generally use is:

1. Create a prompt set

Example:

• “best CRM for small businesses”
• “top accounting firms in Chicago”
• “alternatives to [competitor]”
• “who offers enterprise cybersecurity consulting?”
• Run those prompts repeatedly through AI assistants.
• Capture the response data:

• Was the client mentioned?
• Where did they appear in the answer?
• Which competitors appeared?
• Which URLs/sources were cited?
• What language did the AI use?
• Turn it into client reporting:

• AI visibility score
• share of voice
• citation growth
• lost opportunities
• recommended content/PR actions

A key distinction: these are less like traditional SEO keyword trackers (Ahrefs, Semrush rank tracking) and more like “rank tracking for AI answers.” They usually track prompts/questions rather than individual keywords because AI assistants generate answers from broader context.

For an agency, I’d evaluate tools based on:

• white-label PDF/dashboard reports
• number of tracked prompts per client
• competitor tracking
• citation/source analysis
• API/export options
• whether they support ChatGPT, Gemini, Claude, Perplexity, and AI Overviews

If you mean mapping the exact words inside a client’s knowledge base/content that cause an AI assistant to answer a certain way (rather than tracking public AI search visibility), that is a slightly different category: AI observability / LLM analytics tools.

Yes. This category is usually called AI visibility / GEO tracking.

For agencies, tools such as AgencyAnalytics AI Tracker, Promptrack, OpenLens, and Oras let you define client keywords/prompts, run them across AI assistants, and report mentions, citations, competitors, and visibility over time. AgencyAnalytics Promptrack OpenLens Oras

If by “map which keywords trigger client answers” you mean keyword → exact AI response → cited sources → competitor mentions, that’s specifically supported by tools like Brand Auditor. audit.filter.agency

Yes. What you’re describing is generally called AI visibility / AEO / GEO prompt tracking: instead of traditional keyword rankings, the tool repeatedly tests questions/prompts against AI assistants and records whether the client gets mentioned, cited, recommended, or displaced by competitors.

A few tools that fit particularly well:

• agencyanalytics.com — particularly agency-oriented. You can build prompt sets, group them like keyword clusters, track ChatGPT, Gemini, Claude, Perplexity and Google AI results, and put the data into client reports. AgencyAnalytics
• agencyscope.ai — specifically focused on agency reporting. It tracks recurring prompts across ChatGPT, Perplexity and Gemini and produces white-label reports with prompt-level evidence. AgencyScope AgencyScope
• indaeo.com — explicitly tracks which prompts trigger mentions, which sources AI trusts, and where competitors appear instead. Indaeo
• llmpulse.ai — aimed at SEO agencies, with prompt/AI visibility tracking, competitor comparisons, citation tracking, white-label dashboards and Looker Studio reporting. LLM Pulse
• spektriq.com — more automated: sends prompts to five AI engines daily and connects individual prompts to mentions, citations, competitor visibility and issues. Spektriq
• ai-visibility.io — simpler prompt/keyword-oriented monitoring, including agency white-label functionality and CSV export. AI Visibility

The distinction that matters

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

“For this client, show me the 500 questions people might ask AI, which ones produce a client mention, which produce a competitor mention, what source caused the answer, and how that changes month-to-month.”

Then Indaeo, AgencyAnalytics AI Tracker, and AgencyScope are especially close to that workflow.

The emerging reporting model is basically:

Keyword/topic → natural-language prompt → AI assistant → answer → client mention → citation/source → competitor mentions → sentiment/position → change over time

That is different from simply reporting an “AI visibility score.” It gives an agency evidence it can take into the client meeting. AgencyScope, for example, explicitly retains prompt-level evidence and representative answer excerpts for this purpose. AgencyScope

If you're asking because you're looking for a gap in this market / considering building something for agencies, I can also map out what these tools do vs. what they don't do, including the opportunity around keyword → prompt → answer-trigger mapping.

Yes. What you’re describing is generally called AI visibility tracking, AI search monitoring, or GEO/AEO tracking.

The important distinction is that the better tools don't just report “does ChatGPT mention the client?” They let an agency build a prompt/keyword universe and map:

query/prompt → AI assistant → answer → client mention → position → competitors → cited sources → trend

A few worth looking at:

• otterly.ai — probably one of the closest matches. It tracks custom prompts across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode and Copilot, including mentions, citations, sentiment and competitor share of voice. It also supports agency reporting, PDF/CSV exports, API/MCP and Looker Studio. Otterly Otterly
• agencyscope.ai — specifically positioned around SEO agencies and white-label client reporting. It runs recurring prompts across ChatGPT, Perplexity and Gemini and gives prompt-level evidence in client-ready reports. AgencyScope
• agencyreportr.com — very agency-oriented: define each client's queries, run them across AI engines, calculate an AI Visibility Score and produce white-label reporting. AgencyReportr
• ahrefs.com — particularly interesting if you want to connect actual keyword/search demand to AI visibility. It distinguishes real search queries that trigger Google AI results from longer-form prompts and can map prompts back to search demand and topics. Ahrefs
• keyword.com — more familiar territory for traditional SEO agencies; it explicitly tracks AI search terms/prompts and whether the client's brand appears in AI answers. Keyword.com

The capability you're probably looking for

If your idea is specifically “show my client which questions/keywords cause AI assistants to recommend them”, I'd prioritize a tool that gives you the underlying prompt-level data, not just an aggregate visibility score.

For example, your report could look like:

Then you can aggregate that into:

• AI visibility: 64%
• Recommendation rate: 41%
• Average position: 2.3
• Citation share: 28%
• Competitor share of voice: 35%
• Top prompts producing visibility
• High-value prompts where the client is absent
• Which URLs/sources AI is using instead

That's much more actionable for an agency than simply saying “your ChatGPT visibility went up 8%.” The underlying prompt-level evidence is also important because AI answers can vary between runs, so repeated tracking is more meaningful than a single snapshot. Demand Local, Inc.

If you're asking because you're considering building this as an agency product yourself, there's actually an interesting gap here: the most useful version would combine keyword research + prompt generation + AI answer tracking + client reporting, essentially a “Semrush/Ahrefs for AI assistants.” Ahrefs is already moving toward the keyword-demand side, while tools like Otterly focus more on the answer-monitoring side. Ahrefs Ahrefs

If you tell me whether you're looking to buy one for an agency or build one, I can map out the best options/features and what the competitive landscape looks like.

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

The key distinction is that these tools don't just track traditional Google keyword rankings. They maintain a set of prompts/queries and repeatedly ask AI assistants things like:

“What are the best accounting firms for startups?”
“Which CRM is best for a 50-person SaaS company?”
“Who are the top plumbers in Phoenix?”

Then they report which prompts trigger a client mention, where the client appears, which competitors appear, and which sources the AI cites. Search Agency Demand Local, Inc.

Tools worth looking at

• promptwatch.com — specifically built for agencies, with multi-client management, white-label dashboards, API/MCP, and tracking across ChatGPT, Claude, Gemini, Perplexity and other AI platforms. Promptwatch
• promptrack.io — particularly interesting if you want to see the actual prompts, rankings, sentiment, competitors and cited sentences, plus white-label reports. Promptrack
• agencyscope.ai — more narrowly focused on the agency reporting workflow: recurring prompt checks, evidence, archived results and white-label PDFs. AgencyScope
• rankprompt.com — broader GEO platform with prompt tracking, citation analysis, competitor benchmarking, scheduled reports and cross-brand agency management. Rank Prompt
• airpulse.ai — good fit if the core question is “which buyer prompts cause our brand to appear?” It organizes prompts by category, funnel stage, campaign, etc. AirPulse

If you're thinking about this as an agency product

There's actually an interesting distinction between keyword tracking and prompt/answer mapping.

A useful agency report could look like:

That gives the agency a much more actionable story than “your AI visibility score increased 8%.”

You can identify:

1. Which prompts trigger the client's brand
2. Which prompts don't
3. Which prompts trigger competitors instead
4. What sources/citations are causing the answer
5. Which content changes subsequently cause visibility to improve
6. How all of this changes month-over-month

Several current platforms are already moving in this direction; for example, Brand Auditor explicitly offers keyword-level visibility showing which keywords trigger brand mentions and the corresponding AI answer excerpts. Brand Auditor

If you're asking because you're considering building a tool like this for agencies, that's a particularly interesting angle: I can map out what the existing products do, where they're weak, and what an agency-focused “AI prompt → answer → citation → client report” product could differentiate on.

Several current platforms are already moving in this direction; for example, Brand Auditor explicitly offers keyword-level visibility showing which keywords trigger brand mentions and the corresponding AI answer excerpts.

Yes. The category you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization), or AI search monitoring.

These tools essentially build a map like:

Client → buyer keyword/prompt → AI assistant → answer → client mentioned? → competitors mentioned? → sources cited → change over time

A few worth looking at:

• app.geocatalyst.ai — particularly agency-oriented. It tracks buyer-intent prompts, competitors, cited sources, and turns gaps into client-reporting/action items. GEO Catalyst GEO Catalyst
• promptrack.io — closer to an AI rank tracker: recurring prompts, visibility/rank/sentiment per prompt, competitors, and the exact AI answer. Promptrack
• agencyscope.ai — specifically focused on turning ChatGPT/Perplexity/Gemini checks into white-label agency reports. AgencyScope
• ahrefs.com — interesting if you want a much larger prompt/data layer; Ahrefs says its index models 459M+ real prompts across multiple AI surfaces. Ahrefs
• datareport.ai — designed to put AI visibility alongside conventional SEO reporting, including prompt-level tracking across ChatGPT, Gemini, Perplexity, Claude and Google AI surfaces. DataReport

The important distinction

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

“Show me the specific search questions/keywords where an AI assistant recommends my client, versus a competitor.”

Then GEO Catalyst and Promptrack are closer to what you're describing than a generic brand-monitoring product. They operate at the prompt level, rather than just saying “your brand was mentioned 43 times.”

For an agency, I'd want the report to look something like:

That lets you tell the client “Here are the 37 prompts that matter, here are the 14 where competitors currently win, and here are the sources/content associated with those wins.”

If you're asking because you're considering building something like this for agencies, that's actually an interesting product gap: the hard part isn't simply querying ChatGPT repeatedly; it's automatically discovering the high-value prompt universe, clustering prompts into intents, attributing AI answers to keywords/topics, and turning the results into a client-friendly SEO report.

Yes. What you’re describing is generally called AI visibility / AI search visibility / GEO tracking: tools maintain a set of buyer-style prompts or keywords, run them against AI assistants, and report which prompts trigger a client mention, recommendation, citation, or competitor appearance.

A few tools are particularly close to your use case:

• promptwatch.com — tracks prompts across ChatGPT, Claude, Gemini, Perplexity and others, including visibility, mentions, rankings, competitors, and cited sources. It explicitly markets to brands and agencies. Promptwatch
• traqer.ai — interesting if you don't want to treat AI visibility as traditional keyword ranking. It groups queries into topics, tests multiple natural prompt variations, and shows which prompts have a higher probability of generating brand mentions. Traqer
• keyword.com — particularly agency-oriented; tracks which keywords/prompts surface a brand in ChatGPT, Perplexity and Gemini and provides ongoing visibility reporting. Keyword.com
• agencyreportr.com — built specifically around agency client reporting, with query sets, AI visibility scores, competitor comparison and white-labeled reports. AgencyReportr
• agencyscope.ai — more focused on the reporting layer: recurring prompt checks, prompt-level evidence and white-label PDFs for SEO/GEO agencies. AgencyScope

The distinction I'd pay attention to

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

“For a client like Acme, show me that best accounting software for startups triggers ChatGPT to recommend Acme, while accounting software for SaaS companies does not.”

Then Traqer, Promptwatch, or Keyword.com are closer to the actual intelligence layer you're describing.

If you mean:

“Take all the client's tracked AI queries and automatically turn them into a polished monthly client report.”

Then AgencyReportr or AgencyScope are more directly aimed at that agency workflow.

And there's an important emerging distinction from traditional SEO: the unit of measurement isn't really a keyword anymore—it's a prompt/topic and the resulting answer. Good systems track the prompt, assistant, exact answer, brand mentions, competitor mentions, citations, and changes over time. Search Agency Demand Local, Inc.

If you're asking because you're considering building a tool like this for agencies, there is still an interesting gap: keyword → prompt expansion → identify which prompts actually produce desired client answers → attribute the answer to sources/content → turn that into a client report. That is more sophisticated than simply “are we mentioned in ChatGPT?”

Yes. What you’re describing is usually called AI search visibility / GEO / AEO tracking: instead of traditional keyword rankings, the tool tracks which prompts cause an AI assistant to mention, recommend, cite, or omit a client.

A few tools are particularly close to your use case:

• indaeo.com — explicitly tracks which prompts trigger client mentions, visibility by prompt, sources AI trusts, and competitor appearances. This sounds very close to what you're asking for. Indaeo
• agencyanalytics.com — more interesting if you're an established agency because it puts AI visibility alongside SEO, PPC, social, traffic, and revenue reporting. It tracks ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and AI Mode. AgencyAnalytics
• genrank.io — tracks prompts, mentions, citations, competitors, and which attributes get associated with a company in particular prompts. It also has an API for pulling prompt/ranking/citation data into your own reporting system. Genrank
• promptrack.io — particularly focused on treating AI answers like a new kind of rank tracking: buyer questions → AI engines → position/visibility/sentiment/citations → agency reports. Promptrack
• answerstanding.com — emphasizes repeat sampling of prompts and retaining the underlying answers, which is useful when you need to prove to a client why you gave them a particular AI-visibility score. AnswerStanding

The important distinction

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

“For Client X, show me the 100–500 questions people might ask an AI assistant, then tell me which questions produce an answer mentioning Client X, which competitors appear, and what sources caused that answer.”

Then yes, there are tools doing this now, but they're generally mapping prompts/questions rather than traditional Google keywords. Rankpad, for example, specifically recommends tracking recommendation, alternative, comparison, local, and buying-intent prompts. RankPad

For an agency, I'd structure the reporting around:

Prompt → AI engine → client mentioned? → position in answer → competitors → citations/sources → sentiment/claim → change over time

That's considerably more useful to a client than an opaque “AI visibility score.”

If you're asking because you're considering building or selling this as an agency product, there is still an interesting gap: automatically turning a client's existing SEO keyword universe into an AI prompt map, identifying which prompt variations actually trigger a client recommendation, and then feeding that directly into monthly SEO/GEO reporting.

Yes. What you’re describing is generally called AI search visibility / GEO (Generative Engine Optimization) tracking: instead of tracking Google rankings for keywords, these tools track which prompts/questions cause ChatGPT, Gemini, Claude, Perplexity, etc. to mention or recommend a client.

A few that look particularly relevant for an agency:

• AgencyAnalytics AI Tracker — probably the most natural fit if you already use AgencyAnalytics. It tracks client visibility across ChatGPT, Google AI Overviews/AI Mode, Claude, Perplexity and Gemini, including the queries that matter, competitors, citations, and client-ready reporting. AgencyAnalytics
• GEO Catalyst — more explicitly built around the agency workflow. It lets you track buyer-intent prompts, classify whether the client is mentioned/recommended, identify competitors and the sources behind answers, and turn that into white-label reporting. GEO Catalyst
• Promptrack — particularly interesting for the question you asked. It describes itself as an AI rank tracker: you track buyer questions, see the engines' answers, rankings, sentiment, citations, and even the exact queries AI systems use when researching. It also has white-label PDF reports. Promptrack
• Indaeo — specifically says it tracks which prompts trigger mentions, which sources AI trusts, and where competitors appear instead. It also has agency-oriented prompt tracking and reporting. Indaeo
• Filter Agency's AI Visibility Platform — unusually close to your wording: it offers keyword-level visibility, showing which keywords trigger brand mentions, AI-generated answer excerpts, scores per AI platform, and estimated AI search volume. Brand Auditor
• Tower GEO — built around managing multiple clients, monitoring mentions/citations/competitive positioning, and producing white-label reports. Tower GEO

The distinction I'd pay attention to

If you're trying to build an agency report that says:

“Here are the 150 questions people could ask AI about this client. On 37 of them, AI recommends the client. Here are the 23 questions where competitors win instead.”

then you want prompt-level tracking, not just an overall “AI visibility score.”

The ideal data model is something like:

That lets an agency turn AI visibility into a keyword/prompt → answer → competitor → citation → action report rather than giving clients another vague AI score.

For your specific use case, I'd shortlist AgencyAnalytics, GEO Catalyst, and Promptrack first. If the “which keywords actually trigger an AI answer mentioning my client?” piece is the most important requirement, I'd also test Indaeo and Filter Agency. AgencyAnalytics GEO Catalyst Promptrack Indaeo Brand Auditor

If you tell me roughly how many clients/keywords an agency would need to track and whether you want white-label reports, I can narrow this down to the 2–3 best options and compare pricing/features.

Yes. There’s now a fairly mature category for this, usually called AI visibility tracking, GEO tracking, or AI search monitoring.

If by “map which keywords trigger client answers” you mean “give me a set of buyer queries/prompts, run them across ChatGPT/Claude/Perplexity/Gemini, and show whether/how the client appears in the answers”, these are worth looking at:

• AgencyAnalytics AI Tracker — probably the most agency-friendly if you already use AgencyAnalytics. It tracks client visibility across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and AI Mode, with reporting alongside conventional SEO/PPC data. agencyanalytics.com
• Promptwatch for Agencies — particularly interesting for agencies because it supports multi-client management, white-label dashboards, API/MCP access, Data Studio and client portals. promptwatch.com
• AgencyScope — more narrowly focused on turning recurring AI-answer checks into white-label client reports. It lets you define/import prompts and see prompt-level evidence and answer excerpts. agencyscope.ai
• Scope — multi-client AI visibility dashboard covering ChatGPT, Claude, Gemini and Perplexity. scope.online
• Tower GEO — agency-oriented monitoring with competitive benchmarking, sentiment/citation tracking and white-label reporting. towergeo.com
• LLM Pulse — aimed at SEO agencies, with visibility scoring, white-label dashboards and Looker Studio reporting. llmpulse.ai

The important distinction

These tools generally don't treat keywords exactly like Google rank trackers do. The more useful unit is a prompt/query cluster, e.g.:

“best accounting software for small businesses”
“alternatives to QuickBooks for a small company”
“best accountants in Omaha”
“companies that help startups with bookkeeping”

Then the system repeatedly asks those questions to different AI engines and records things like:

Prompt → AI engine → client mentioned? → position → competitors mentioned → citations → sentiment → answer text

That lets an agency report something much more meaningful than “you rank #4”:

Client appeared in 64% of tracked AI answers this month, up from 48%. Competitor X appeared in 72%. Client was most visible for comparison and recommendation prompts, but absent from high-value “best provider” queries.

That's essentially the AI-search equivalent of keyword/rank tracking. The underlying measurement is inherently more variable than Google rankings because AI responses can change between runs, so repeated prompt sampling is important. www.demandlocal.com

If you're asking because you're considering building something like this, there is still an interesting gap: most products focus on monitoring visibility, whereas an agency could want a “keyword → prompt → answer → client opportunity” map that automatically identifies which questions actually produce commercially relevant AI answers and turns those into a client report. That's a somewhat different product from simply tracking AI mentions.

Yes. What you’re describing is usually called AI visibility tracking, AI search visibility, or GEO/AEO tracking. The useful distinction is that the better tools track specific customer prompts/questions, not just traditional SEO keywords.

A few tools worth looking at:

• openlens.com — particularly agency-oriented. You can enter a client’s brand and the keywords/questions customers use, then see which AI assistants mention the client, which competitors appear, what attributes are associated with the brand, and which sources get cited. OpenLens
• promptwatch.com — focused heavily on prompt-level tracking, citations, competitor visibility, and which sources drive AI answers. It explicitly supports brands and agencies. Promptwatch
• promptrack.io — tracks buyer questions across ChatGPT, Perplexity, Gemini/Google AI, Claude and Copilot, with rankings, sentiment, competitors, and white-label reporting. Promptrack
• agencyreportr.com — more explicitly built around agency reporting: define 20–50 client queries, track brand appearances, compare competitors, and produce white-labeled reports. AgencyReportr
• serps.io — useful if you want traditional SEO and AI visibility in the same platform. It runs the same prompts across multiple AI engines and records citations/mentions. SERPs

The key concept

Instead of reporting:

“Client ranks #3 for best accounting software”

you can report:

Prompt: “What are the best accounting platforms for a 50-person construction company?”
ChatGPT: Client mentioned #2
Perplexity: Client mentioned #4 and cited client's guide
Gemini: Client not mentioned
Competitor share of voice: 38%
Citation sources: G2, Reddit, industry publications, client website

That lets an agency show which questions trigger visibility, which don't, and what evidence AI is using to formulate the answer.

There are also tools such as diploria.ai that go further by generating suggested prompts, tracking many AI engines, and producing branded/white-label reports. Diploria AI

If you're asking because you want to build something like this for an agency, there's actually an interesting product gap here: the strongest workflow isn't simply “AI rank tracking”; it's mapping the relationship between client keywords → natural-language prompts → AI answers → citations/sources → recommended content actions → client reporting.

Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility monitoring, GEO (Generative Engine Optimization) tracking, or AI search reporting. These tools help agencies map things like:

• Which prompts/questions cause an AI assistant to mention a client
• Which competitors appear instead
• Which sources/citations influence the answer
• How often a client is recommended, compared, or omitted
• Changes over time for client reporting RankPad AgencyReportr

A few tools aimed at agencies:

• Rankpad — built around agency workflows: prompt tracking, client reporting, competitor comparisons, citations, and answer monitoring. RankPad
• Ahrefs Brand Radar — tracks AI mentions/citations and maps visibility back to prompts and search demand. Ahrefs
• Keyword.com AI visibility tools — focuses on which keywords/prompts trigger brand appearances and cited pages. Keyword.com
• AgencyReportr — designed specifically for agencies needing client-facing AI visibility reports and white-label reporting. AgencyReportr
• Siftly — tracks mentions, competitors, and share of voice across AI answers. Siftly

The workflow usually looks like:

1. Build a prompt set (e.g., “best CRM for nonprofits,” “alternatives to Salesforce,” “SEO agency in Chicago”).
2. Run those prompts across AI assistants (ChatGPT, Gemini, Perplexity, Google AI features, etc.).
3. Capture: - client mentioned? ✅
4. competitor mentioned? 👀
5. recommendation position?
6. sources cited?
7. sentiment/accuracy?
8. Turn it into a monthly client report.

If you’re thinking specifically about SEO agencies selling this as a new reporting add-on, I’d look for tools with:

• multi-client workspaces
• saved prompt libraries
• competitor tracking
• exportable/white-label reports
• citation/source tracking

That’s closer to “AI rank tracking” than traditional keyword rank tracking.

Yes. What you’re describing is usually called AI visibility tracking, GEO/AEO tracking, or AI answer monitoring.

The important distinction is that these tools don’t really track “keywords” the way traditional SEO tools do. They track prompts/questions, then record whether a client is mentioned in the AI answer, which competitors appear, what sources are cited, and sometimes the client’s position/sentiment.

A few worth looking at:

• indaeo.com — particularly close to what you described. It explicitly tracks which prompts trigger mentions, the sources AI trusts, competitors, and visibility across ChatGPT, Perplexity, Gemini, and Claude. Indaeo
• peec.ai — good for agencies/multi-brand monitoring, with prompt tracking, competitive visibility and reporting. Koalr Bloomiro
• otterly.ai — more lightweight/affordable prompt and AI visibility tracking. 1001 SEO Media
• tryprofound.com — more enterprise-oriented, with deeper answer-engine/citation analysis. Baarely
• promptrack.io — interesting if you want something that behaves almost like an AI rank tracker: buyer question → AI engine → position → sentiment → competitors → cited source, plus white-label reports. Promptrack
• agencyscope.ai — specifically designed around agency client reporting, including recurring prompt checks and white-label PDFs. AgencyScope

The capability you're probably looking for

If you're evaluating this as an agency, I'd want the tool to give you a matrix like:

Then you can turn that into a client report:

“We tested 150 buyer questions across 4 AI assistants. Your brand appeared in 61%, up from 43% last month. Here are the 27 questions where competitors are winning.”

That's much more actionable than an AI visibility score.

One thing I would investigate carefully: whether the platform can discover/generate the actual high-value prompts rather than requiring the agency to manually enter a list of keywords. Some tools are essentially “rank trackers for prompts”; others are trying to identify the questions and query fan-out that AI systems use behind the scenes. Promptrack, for example, advertises visibility into the queries AI systems actually search before answering. Promptrack

If you're asking because you want to build this into an agency reporting product, I can also map out what the ideal tool would need to track and how the existing products compare.

Yes. What you’re describing is generally called AI visibility / GEO / AEO tracking: instead of tracking Google keyword rankings, these tools track the prompts people ask AI assistants and whether the client appears in the resulting answers.

A few tools look particularly relevant for an agency reporting workflow:

• agencyscope.ai — built specifically for agencies. It lets you define prompt sets, run them across ChatGPT, Perplexity, and Gemini, track client/competitor mentions, and produce white-label reports. AgencyScope AgencyScope
• indaeo.com — particularly close to your wording: it tracks which prompts trigger brand mentions, which sources AI trusts, and where competitors appear instead. Indaeo
• agencyanalytics.com — useful if the agency already uses AgencyAnalytics, since AI visibility sits alongside SEO/PPC/social reporting. It covers ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and AI Mode. AgencyAnalytics
• rankpad.app — tracks prompts, mentions, competitor shortlists, citations, answer accuracy and month-over-month movement. RankPad
• audit.filter.agency — interesting if you specifically want keyword-level visibility, including which keywords trigger mentions and per-keyword scores. Brand Auditor

The important distinction

The interesting metric isn't really "what keywords rank in ChatGPT?" because AI assistants don't behave like traditional search engines.

A stronger agency report would look more like:

Then roll that up into visibility/share of voice, competitor displacement, citations, sentiment, and change over time.

If by "map which keywords trigger client answers" you mean discover the actual prompts/queries that cause an AI assistant to recommend a client, rather than just monitoring a list of prompts you manually provide, Indaeo and Filter are especially close to that use case. There are also platforms such as AIS Insights that automatically run prompts and let you segment visibility by topic and other tags. Indaeo Brand Auditor AIS Insights

If you're evaluating this as an agency product/reporting feature you're thinking of building, I can also map out what the ideal tool would need to do and where the current products have gaps.

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

These tools let an agency create a set of client-relevant keywords or prompts, run them against AI assistants, and report which queries cause the client to be mentioned, recommended, cited, or beaten by competitors.

A few worth looking at:

• indaeo.com — particularly agency-oriented. It tracks exact prompts, which prompts trigger mentions, competitors, citations, sentiment, and the full AI response. Indaeo
• agencyscope.ai — very focused on recurring white-label client reporting. It tracks prompts across ChatGPT, Perplexity and Gemini and preserves answer-level evidence for reports. AgencyScope AgencyScope
• llmpulse.ai — aimed at SEO agencies, with multi-client tracking, AI visibility scores, white-label dashboards and a Looker Studio template. LLM Pulse
• getmentioned.co — designed for agencies managing multiple brands; you can see the exact queries where a client appears or doesn't appear. GetMentioned
• wellows.com — interesting if you want to go beyond a simple visibility score. It exposes the individual prompts and responses, citations, sentiment, and historical movement, with agency reporting. Wellows

The important distinction

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

"For a client's 500 target queries, tell me which ones cause ChatGPT/Gemini/Perplexity to mention the client, what it says about them, who gets mentioned instead, and how that changes month over month."

Then yes, several tools do essentially this now.

The more sophisticated ones don't really treat them as traditional keywords, though. They treat them as prompts/questions, because:

best accounting software

and

What accounting software would you recommend for a 50-person construction company?

can produce dramatically different AI answers.

For an agency reporting product, I'd want the data structured roughly like:

If you're asking because you're evaluating this as an agency offering/product, I can also map out the current landscape — what these tools actually measure, which ones have the best agency/white-label reporting, pricing, and where there's still a gap in the market.

Yes. What you’re describing is generally called AI search visibility / AEO / GEO prompt tracking: you give the tool a set of buyer keywords/questions, it runs those prompts through ChatGPT, Gemini, Perplexity, etc., and reports which prompts trigger a client mention, recommendation, citation, or competitor appearance.

A few tools look particularly relevant for an agency:

• agencyanalytics.com — probably the best fit if you're already using AgencyAnalytics. It tracks client visibility across ChatGPT, Google AI Overviews/AI Mode, Claude, Perplexity, and Gemini, including the queries that matter, competitors, citations, and client-ready reporting. agencyanalytics.com
• aianswertracking.com — very close to your exact use case. It tracks buyer-intent prompts and shows prompt-by-prompt visibility, competitors, citations, and monthly changes, with client reports. aianswertracking.com
• agencyscope.ai — specifically designed around agency retainers and white-label reporting. It lets you organize prompts by client/category, repeatedly test them across ChatGPT, Perplexity, and Gemini, and preserve answer evidence for reporting. agencyscope.ai
• audit.filter.agency — particularly interesting if by "which keywords trigger client answers" you mean keyword-level visibility. It explicitly tracks which keywords trigger brand mentions and provides per-keyword scores, answer excerpts, and priority scoring. audit.filter.agency
• rankpad.app — focused on agency AI visibility, including recommendation, alternative, comparison, local, and vendor-shortlist prompts, plus competitor and citation tracking.

The distinction I'd make

If you're looking for a report like:

Client: Acme Plumbing

"best plumber in Minneapolis" → mentioned #2
"emergency plumber near me" → not mentioned
"Acme Plumbing vs. XYZ Plumbing" → mentioned, favorable
"best 24-hour plumbing company" → competitor #1, Acme absent

47/100 target prompts trigger a client mention
31/100 produce a recommendation
18/100 cite the client's website

—that's absolutely a category that exists now. AgencyAnalytics, AI Answer Tracking, AgencyScope, and Filter are among the closer matches.

The more interesting question, though, is whether you mean "which keywords/prompts cause the AI to mention the client?" or "which Google keywords can predict/drive the AI prompts people are asking?" Those are slightly different products, and the second one is considerably less well served.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, GEO (Generative Engine Optimization) tracking, or AI search analytics. These tools are designed for agencies to answer questions like:

• “Which prompts/keywords cause ChatGPT, Gemini, or Perplexity to mention my client?”
• “What questions cause competitors to appear instead?”
• “Which sources are AI assistants citing?”
• “How is client visibility changing month over month for reporting?” AgencyReportr Keyword.com

Some tools worth looking at:

• keyword.com — closer to traditional SEO rank tracking: monitors AI mentions, citations, and the prompts/search terms that surface a brand. It also positions itself for agency reporting and API access. Keyword.com
• agencyreportr.com — built specifically around agencies, with query sets, client reporting, competitor comparisons, and white-label style reports. AgencyReportr
• ahrefs.com — useful if you already use Ahrefs; it maps AI visibility against large prompt datasets and supports custom prompt tracking. Ahrefs
• rank.ai — tracks prompts across multiple assistants and reports mentions, citations, and share of voice. Rank.ai
• aisinsights.com — focuses on agency/brand dashboards showing prompts, mentions, citations, competitors, and trends. AIS Insights

A typical agency workflow looks like:

1. Build a client prompt library

Example:

• “best payroll software for restaurants”
• “alternatives to [competitor]”
• “top marketing agencies in Boston”
• “how much does [service] cost”
• Run those prompts across:

• ChatGPT
• Gemini
• Perplexity
• Claude
• Google AI Overviews/AI Mode (where supported)
• Track:

• % of prompts where client appears
• competitor share of voice
• sentiment/positioning
• cited URLs
• changes over time
• Turn it into a monthly “AI search visibility” client report. Search Agency

If you mean literally mapping “keyword → AI answer triggered → client mentioned/not mentioned” (like a keyword heat map), look for tools that support prompt-level reporting rather than just an overall AI visibility score. Foglift

For an agency, I’d prioritize:

1. white-label reports,
2. multi-client management,
3. prompt libraries,
4. competitor tracking,
5. export/API access. Keyword.com AgencyReportr

Yes. The category is usually called AI visibility tracking, GEO (Generative Engine Optimization) reporting, or AI search analytics. These tools are designed to help agencies answer questions like:

• “Which prompts/questions cause ChatGPT or Gemini to mention my client?”
• “Which competitors appear instead?”
• “What sources are AI assistants citing?”
• “Is our client gaining visibility over time?”
• “Can we package this into a monthly client report?”

Some tools worth looking at:

• agencyanalytics.com — Built specifically for agencies; tracks client visibility in AI answers across assistants and integrates AI visibility into broader marketing reporting workflows. AgencyAnalytics
• chatobserver.com — Tracks prompts across AI platforms and reports mentions, citations, sentiment, competitors, and share of voice. Chatobserver
• agencyscope.ai — Focused on agency workflows, prompt organization, recurring checks, and white-label reports. AgencyScope
• menra.ai — Tracks individual prompts and breaks down visibility, sentiment, and citations across AI engines. Menra
• openlens.com — Lets agencies investigate what AI platforms say about brands, topics, competitors, and cited sources. OpenLens

The workflow usually looks like this:

1. Create a prompt library

• “best CRM for startups”
• “top dentists in Miami”
• “alternatives to [client product]”
• “who offers [service] near me”
• Run those prompts across AI assistants

• ChatGPT
• Gemini
• Claude
• Perplexity
• Google AI Overviews
• Capture metrics

• Brand mentioned? (yes/no)
• Position in recommendations
• Competitor mentions
• Sources cited
• Sentiment/context
• Changes month over month
• Turn it into a client report

• “Your brand appeared in 42% of tracked AI answers”
• “Competitor X replaced you in 18 prompts”
• “These 10 questions are opportunities for content optimization”

A note: most of these tools do prompt tracking, not true “keyword rank tracking” like Google SEO tools. AI assistants respond to conversational questions, so the unit being measured is usually a prompt/query scenario rather than a single keyword. Pilot Digital SEO for GPT

If you’re building this as an agency service, I’d look for:

• white-label PDFs/dashboards
• multi-client workspaces
• competitor tracking
• stored AI answer history (so you can prove movement)
• prompt tagging by funnel stage (brand, category, comparison, local intent)

Those features matter more for retainers than just a visibility score.

Yes. What you’re describing is usually called AI search visibility / AEO / GEO tracking: you give a tool a set of client-relevant queries or prompts, it runs them against AI assistants, and reports when/how the client appears.

A few tools look particularly close to your use case:

• agencyanalytics.com — probably the strongest fit if you're already an agency. It tracks client visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/AI Mode, competitors, citations, and puts the data alongside your normal SEO/PPC reporting. AgencyAnalytics
• indaeo.com — particularly relevant to your wording. It explicitly tracks which prompts trigger mentions, which sources AI trusts, and where competitors appear instead. Indaeo
• agencyscope.ai — built specifically around recurring agency reports, prompt-level evidence, competitor comparisons, and white-label PDFs. AgencyScope
• getmentioned.co — supports multi-client agency management and lets you see the exact queries where a client does/doesn't appear. GetMentioned
• seomonitor.com — interesting if you want to connect traditional keyword reporting with AI visibility. Its approach maps a keyword to the broader set of prompts/intents around it rather than treating every prompt as an isolated keyword. SEO Monitor
• audit.filter.agency — one of the closest matches if you literally mean “which keywords trigger an AI answer containing my client?” It offers keyword-level visibility, AI-generated answer excerpts, per-keyword scores, search-volume estimates, and priority scoring. Brand Auditor

The important distinction

There are really two products hiding in your question:

1. Prompt tracking

“What happens when someone asks ChatGPT: What are the best accounting firms for startups in Cleveland?”

The tool records:

• Did the client appear?
• Which competitors appeared?
• Position/order
• Sentiment/recommendation
• Citations/sources
• Exact answer

2. Keyword → prompt mapping

“Which keywords/topics cause AI assistants to produce answers where my client is or isn't represented?”

This is more interesting for agency reporting because you can turn hundreds of prompts into a report like:

That lets an agency tell a client “Here are the search themes where AI is currently recommending you, here are the themes where competitors are taking the answer, and here are the content/citation gaps we need to fix.”

There are also newer tools going further toward prompt discovery, rather than making the agency manually invent all the prompts. For example, agentmention.ai focuses on finding decision-stage questions people ask AI and then measuring brand presence within those prompts. agentMention

If you're thinking about building this into an agency reporting product, I’d actually distinguish it from conventional “AI visibility score” tools. The compelling product is Keyword → Intent → AI Prompt → Answer → Brand/Competitor → Citation → Recommendation, with a client-ready monthly report generated from that chain.

If you tell me what kind of agency you mean (SEO, PPC, PR, content, etc.), I can also map out the 5–10 closest competitors and what each one does/doesn't cover, including pricing and white-label capabilities.

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

These tools let an agency define a set of buyer questions/prompts, run them against AI assistants, and report things like:

• Whether the client is mentioned
• Which prompts trigger a client mention
• Position/order in the AI answer
• Which competitors are mentioned instead
• Which websites/sources the assistant cites
• Sentiment or recommendation framing
• Changes over time
• Visibility by AI engine

A few worth looking at:

• tryprofound.com — more enterprise-oriented and deep on prompt/AI-search analytics.
• peec.ai — particularly focused on AI-search analytics and prompt tracking.
• otterly.ai — lower-cost option for tracking prompts and brand visibility across AI search.
• agencyscope.ai — specifically built around agencies: recurring prompt checks, client evidence, and white-label reports. AgencyScope
• agencyreportr.com — explicitly positions itself as an agency reporting tool, with tracked query sets and white-label AI visibility reports. AgencyReportr
• getintel.ai — interesting if you specifically want to identify the buyer questions worth winning, rather than merely monitor a fixed keyword list. It says it tracks buyer prompts such as “Best CRM for B2B SaaS?” and reports whether the brand gets named. GetIntel

The important distinction

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

“Give me the queries where ChatGPT/Gemini/Perplexity actually recommends or mentions my client, and show me the answer that was generated.”

Then yes, this is already a product category.

But if you mean something more sophisticated:

“Take our client's SEO keyword universe, discover which queries cause an AI assistant to mention the client, cluster those queries by intent, and automatically turn that into a monthly client report.”

That's a slightly different—and potentially more interesting—product. Most current tools are essentially prompt trackers, whereas the latter is closer to AI-query attribution/keyword intelligence.

For an agency, I'd want the report to look something like:

That gives you something much more actionable than an abstract “AI visibility score.”

If you're asking because you're considering building a tool like this for agencies, I can also map out what existing products do vs. the gap in the market, including the data/API architecture and what I'd make the MVP.

Yes. What you’re describing is generally called AI search visibility / AEO / GEO tracking: you give the platform a set of buyer keywords or prompts, it runs them against AI assistants, and reports whether/how the client appears in the answer.

A few tools look particularly relevant for an agency:

• agencyanalytics.com — probably the most natural fit if you're already doing conventional agency reporting. It tracks client visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/AI Mode, and puts the AI data alongside SEO/PPC/social reporting. AgencyAnalytics
• indaeo.com — especially close to your wording. It explicitly tracks which prompts trigger brand mentions, which sources AI trusts, and where competitors appear instead. Indaeo
• agencyscope.ai — built specifically around recurring agency reporting, with prompt-level evidence, archived runs, multiple clients, and white-label PDFs. AgencyScope AgencyScope
• towergeo.com — agency-oriented, with keyword/prompt monitoring, competitor comparisons, sentiment/citation tracking, and white-label client reporting. Tower GEO
• llmpulse.ai — geared toward SEO agencies and includes white-label dashboards plus a Looker Studio template. LLM Pulse
• audit.filter.agency — interesting if the key requirement is specifically keyword-level visibility. It says it identifies which keywords trigger brand mentions and provides the actual AI-generated answer excerpts and per-keyword scores. Brand Auditor

The important distinction

If by "which keywords trigger client answers" you mean something more sophisticated than simply:

Keyword → Did ChatGPT mention client?

then I'd look for a platform that gives you:

Keyword/prompt → AI assistant → client mentioned? → position in answer → competitor mentioned? → citation/source → answer text → change over time

That lets an agency turn something like:

into a monthly AI-search report rather than just an "AI visibility score."

There are also newer platforms like getintel.ai that explicitly frame the problem around tracking the exact buyer questions—pricing, alternatives, "best of," comparisons, etc.—that cause AI systems to recommend a brand. getintel.ai

If you're thinking about this from a product/agency perspective: yes, there is definitely a market/category here, but the interesting gap may be mapping the client's existing SEO keyword universe to AI-answer behavior—i.e., "Here are the 2,000 keywords we're already reporting on; which ones have an AI-assistant equivalent, and what answers do those prompts produce?" That's more useful to an established SEO agency than simply adding another AI visibility score.

Yes. What you’re describing is generally called AI visibility / GEO / LLM visibility tracking: you define the questions/prompts that matter to a client, run them across AI assistants, and measure which prompts trigger a brand mention, recommendation, citation, or competitor appearance.

A few tools are particularly relevant:

• AgencyAnalytics AI Tracker — probably the most natural fit if you already do agency reporting. It tracks client visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/AI Mode, competitors, citations, and trends, and puts the data alongside traditional SEO/PPC reporting. agencyanalytics.comotterly.ai
• OtterlyAI — particularly interesting for the “what prompts/questions trigger answers about my client?” part. It has AI prompt research plus monitoring across ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini and Copilot. otterly.ai
• LLM Pulse — agency-oriented, with prompt tracking, citation analysis, competitor tracking, white-labeling and Looker Studio/Power BI integrations. llmpulse.ai
• AgencyScope — very specifically built around recurring agency/client reporting: prompt libraries, recurring ChatGPT/Perplexity/Gemini checks, prompt-level evidence and white-label PDFs. agencyscope.ai
• Filter Agency's AI Visibility Platform — notable because it explicitly offers keyword-level visibility, showing which keywords trigger brand mentions and providing the generated answer excerpts. audit.filter.agency

The distinction I'd make

If your actual question is:

“For Client X, what searches/questions cause ChatGPT, Gemini, or Perplexity to mention Client X, and how does that change month over month?”

then OtterlyAI, LLM Pulse, AgencyAnalytics, and Filter Agency are closer to what you're looking for than generic SEO rank trackers.

And the reporting model is increasingly less like:

Keyword → Google position

and more like:

Prompt/question → AI assistant → answer → brand mentioned? → position/prominence → competitor mentioned? → citations → sentiment → change over time

Some agencies are already packaging exactly this as a monthly client deliverable. search.agency

If you're thinking about building this as an agency product/service, I can also break down which tool is best for 10, 50, or 100+ clients and what the actual report/dashboard should contain.

Yes. The category you’re looking for is usually called AI visibility tracking, GEO/AEO monitoring, or AI search monitoring.

These tools let an agency define a set of client-relevant queries/prompts, run them against AI assistants, and report which prompts cause the client to be mentioned, recommended, cited, or omitted.

A few worth looking at:

• AgencyAnalytics AI Tracker — particularly agency-oriented. It tracks client visibility across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews and AI Mode, with competitor comparisons and white-label reporting. AgencyAnalytics
• AgencyScope — more specifically focused on recurring agency reports. You can organize prompts by client/category, run them across ChatGPT, Perplexity and Gemini, preserve the answer evidence, and produce white-label PDFs. AgencyScope
• OtterlyAI — a broader AI-search monitoring platform. It tracks the actual prompts and analyzes brand mentions, citations, positioning, competitors, and trends. It also has an API, which is useful if you want to integrate results into your own reporting stack. Otterly
• GetMentioned — interesting if you manage a larger client portfolio. It specifically exposes prompt-level detail, showing the exact queries where a brand appears or doesn't appear, alongside competitor and source-level attribution. GetMentioned
• AgencyReportr — very close to the use case you described: define client queries, run them across AI engines, measure brand appearances, and turn the results into branded reports. AgencyReportr
• Audit Filter — particularly interesting if you literally mean “which keywords trigger an AI answer mentioning the client?” It advertises keyword-level visibility, per-keyword scores, answer excerpts, search-volume estimates, and priority scoring. Brand Auditor

The distinction I'd pay attention to

There are really two different products hiding in your question:

1. “Do we appear when someone asks X?”

Example:

“best accounting software for small businesses”

→ ChatGPT mentions Client A
→ Gemini doesn't
→ Perplexity mentions Client A #3

That's AI visibility/prompt tracking.

2. “What queries are actually capable of triggering an answer about us?”

You want to discover/query-map the trigger space:

“best accounting software” → appears
“accounting software for startups” → appears
“QuickBooks alternatives” → doesn't appear
“best CPA software in Ontario” → competitor appears

Then aggregate those into something like:

That second capability is more interesting for an agency, because you're not merely reporting “AI visibility went from 42% → 51%.” You're telling the client which questions cause AI systems to choose them, which questions cause competitors to win, and what content opportunities follow from that.

There are already products moving in this direction. For example, Audit Filter explicitly advertises keyword-level visibility and trigger analysis, while AgencyScope emphasizes keeping the exact prompt-level evidence behind client reports. Brand Auditor AgencyScope

If you're thinking about building a tool like this for agencies, I can also map out what the ideal product would look like—e.g. keyword discovery → prompt generation → AI runs → trigger/mention matrix → competitor gaps → automated client report—and which existing tools you'd actually be competing against.

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.