ChatGPT answers, unedited

Yes. If the agency specifically wants client brand sentiment in AI assistants benchmarked against a category average, I’d shortlist these:

My pick: Semrush

Semrush AI Visibility Brand Performance Reports is probably the closest match if you're looking for something an agency can put into a recurring client reporting workflow.

Its Perception reporting specifically measures favorable sentiment in AI platforms and compares your brand against competitors. It can break perception down by platform—ChatGPT, Perplexity, Gemini and Google AI Mode—and identify the recurring things AI praises or criticizes about the brand. Importantly, its sentiment analysis uses non-branded queries, which makes the comparison more meaningful for category-level perception. www.semrush.com

If the category average is the crucial requirement

I'd also look closely at Brainpan.AI. It publishes category-level AI visibility research across ChatGPT, Gemini, Perplexity, Copilot and Claude, rather than merely giving you a score for an individual client. That makes it interesting if your agency wants to tell a client:

"Your favorable AI sentiment is 72%, versus 61% for the category."

rather than simply:

"Your AI sentiment improved 8 points."

www.brainpan.ai

Search Agency is another particularly relevant option. Its measurement framework explicitly captures sentiment, mentions, citations and competitor performance across the major assistants, with repeatable prompt sets and a published methodology. search.agency

One important distinction

I'd separate "sentiment benchmark" from "AI visibility benchmark." A lot of platforms advertise an AI Visibility Score that combines mention rate, position, citations and sentiment. That's useful, but it doesn't necessarily give you a defensible category-average sentiment score.

For an agency, I'd want the platform to support:

1. Non-branded category prompts — e.g. "best X for Y"
2. Multiple assistants — at minimum ChatGPT, Gemini, Perplexity and ideally Claude
3. Positive / neutral / negative sentiment per mention
4. Category average or peer benchmark
5. Competitor comparison
6. Consistent prompt sets over time
7. Client-level dashboards/reporting
8. Export/API access if you're feeding results into your own agency reporting

For example, Rankr tracks visibility, position and sentiment across multiple models and reports sentiment on a 0–100 scale, while GeoVector combines competitive/category prompts with sentiment and citation intelligence. rankr.so

If you tell me your agency's client count and whether you need white-label dashboards/API access, I can narrow this to the 2–3 platforms I'd actually demo.

Yes. If your agency specifically needs client brand sentiment in AI assistants benchmarked against category averages, I’d shortlist these:

My pick: Semrush

Semrush AI Visibility Brand Performance Reports

Semrush is probably the safest choice if you're an agency and want something you can operationalize across many clients. Its Brand Performance Reports explicitly compare favorable sentiment across your brand and tracked competitors, break sentiment down by AI platform, and identify the recurring positive and negative themes driving perception. It covers Google AI Mode, ChatGPT, Perplexity and Gemini. www.semrush.com

The key distinction, though: “category average” is not the same thing as competitor average. If you want a KPI like:

Client sentiment: 74% favorable
Category average: 61% favorable
+13 pts vs category

I'd look particularly closely at Search Agency. Its measurement offering explicitly builds a standardized prompt set, tracks multiple assistants, reports sentiment, and benchmarks against competitors. search.agency

If this is something you're productizing for clients

I'd structure the benchmark around:

AI Brand Sentiment Index

• % favorable / neutral / negative
• sentiment vs. category average
• sentiment vs. top 3–5 competitors
• sentiment by assistant: ChatGPT, Gemini, Perplexity, Claude, etc.
• sentiment by buyer question/topic
• share of voice
• recommendation rate
• citation share
• recurring positive/negative associations

That's more defensible than simply asking an AI, “What's the sentiment toward Brand X?” The underlying answers vary by prompt, engine and sampling, so a fixed, repeatable prompt set is important. Recent research also shows substantial cross-engine variation in what AI systems recommend, reinforcing the need to benchmark across multiple assistants rather than one. arxiv.org

One interesting option for true category-level benchmarking: Brainpan.AI's benchmark research publishes category-level AI visibility studies across ChatGPT, Gemini, Perplexity, Copilot and Claude. It's more useful as an external benchmark layer than as your primary client reporting platform.

If you tell me what kind of agency you run (PR, brand, SEO/AEO, media, etc.) and roughly how many clients you need to benchmark, I can narrow this to the 2–3 platforms I'd actually buy, including current agency pricing and white-label capabilities.

Yes. For an agency use case, Profound looks like the strongest fit right now, with Peec AI as the main alternative.

My pick: Profound

The important distinction for your question is “against category averages,” rather than simply “compare Brand A vs. Brand B.”

Profound now has the Profound Index, built from 1.9+ billion real user conversations across 50+ industries, which provides category-level benchmarks and leaderboards. Profound Profound

Its client-level Answer Engine Insights also tracks sentiment, visibility, share of voice, position, and citation share across AI platforms. Profound Knowledge Base Profound Knowledge Base

So an agency could potentially report something like:

Client sentiment in AI: 72/100
Category average: 64/100
Top competitor: 81/100
AI visibility: 38% vs. category benchmark of 31%
Share of voice: 22%
Average mention position: #2.4

That's much closer to an agency-grade brand-health benchmark than a conventional AI visibility report.

Peec AI is worth evaluating too

peec.ai explicitly scores AI sentiment 0–100 and lets you compare your brand with competitors across engines. It also tracks visibility, position and share of voice. Peec Peec

I'd lean toward Peec if your agency primarily wants a clean, client-friendly brand perception dashboard. I'd lean toward Profound if you want category benchmarking + competitive intelligence + a deeper enterprise/AEO workflow.

One caveat: “sentiment” in these platforms isn't the same thing as conventional consumer sentiment research. It's measuring how AI models describe the brand in their answers, so I'd position it to clients as “AI brand perception” or “AI-mediated brand sentiment.” Peec itself makes this distinction between visibility (whether you're mentioned) and perception (what AI says about you). Peec

If you're building this as an agency service/product, I can also compare Profound vs. Peec vs. Otterly vs. Scrunch vs. AthenaHQ specifically on white-label reporting, multi-client management, API access, pricing, and category benchmarks.

If your agency specifically wants to benchmark a client’s brand sentiment in AI assistants against the category average, I’d shortlist these:

My pick: Prominence AI

It is unusually aligned with what you're describing. Rather than giving the client a standalone "sentiment = 62" score, Prominence says it calculates a dynamic category average from the competitive set and classifies the brand as overperforming, neutral, or underperforming relative to that baseline. It also lets you break sentiment down by category dimensions and by AI model. prominenceai.io

That's much more useful for an agency report:

Client sentiment: 58
Category average: 49
+9 vs. category
Overperforming on: quality, reliability
Underperforming on: value, recommendations

Semrush is probably the strongest alternative if you want a more established marketing/SEO platform. Its Brand Performance reports explicitly analyze share of voice, sentiment, and narrative drivers, with competitive perception by platform and historical tracking. www.semrush.com

One caveat: "category average" isn't standardized across these products. The important question when evaluating them is whether the benchmark is calculated from (a) your hand-picked competitors, (b) all brands surfaced for the same non-branded prompts, or (c) a proprietary category dataset. Those produce materially different numbers.

If you're choosing this for an agency-wide client reporting stack, I'd prioritize Prominence AI vs. Semrush vs. Gumshoe and evaluate them on white-labeling, multi-client management, prompt control, benchmark methodology, API/export, and pricing—not just the sentiment dashboard.

If your agency wants to benchmark client brand sentiment inside AI assistants (ChatGPT, Gemini, Perplexity, etc.) against category averages, you’re looking for an AI visibility / GEO (Generative Engine Optimization) platform with sentiment benchmarking, not a traditional social listening tool.

A few options worth evaluating:

For an agency use case, I’d prioritize:

1. Prominence AI — closest match if the KPI is “Is our client’s AI narrative better or worse than competitors?” because its core metric is category-relative sentiment rather than just positive/negative mentions. prominenceai.io
2. Pineprompt — stronger if you need client-facing reporting around visibility + sentiment + citations. pineprompt.com
3. Semrush — strongest if you want to fold AI monitoring into an existing SEO/content retainer workflow. www.semrush.com

When evaluating vendors, I’d check that they can:

• run the same prompt set across your client and competitors
• normalize scores by category baseline
• segment sentiment by assistant/model
• show the actual AI responses behind the score
• export white-label reports for clients

A lot of “AI sentiment” tools are misleading because LLMs tend to avoid harsh language; a raw “positive sentiment %” often has little meaning unless it is benchmarked against peers. prominenceai.io

For an agency, the ideal dashboard metric is something like:
Client AI Sentiment Index: 72 vs Category Average: 61 (+11 advantage), broken down by ChatGPT/Gemini/Perplexity and by buying-intent prompts.

Yes. If your agency wants to benchmark client brand sentiment in AI assistants against category averages, I’d shortlist these:

My pick: Semrush

Semrush AI brand sentiment is probably the easiest fit for an agency because it explicitly lets you compare how AI describes a client versus competitors, including sentiment, share of voice and competitive positioning. It currently tracks ChatGPT, Gemini and Perplexity. www.semrush.com

The important caveat: Semrush's sentiment classification is relatively coarse—positive/general—so I wouldn't treat its sentiment score as a sophisticated measure of brand perception.

If sentiment is the actual KPI: Morse AI

Morse AI Market Pulse is more interesting if you're building an agency-level "AI Brand Health" product. Its Brand Visibility Score combines share of voice, position prominence, sentiment tone and citation authority, and it can break results down by platform, persona and topic. It also shows the words/attributes AI associates with the brand and competitors. trymorseai.com

That's closer to what I'd want for a client report: "AI describes Client X as reliable/premium, but competitors own innovative/easy-to-use."

One thing I'd be careful about

"Category average sentiment" isn't yet a universally standardized benchmark. The IAB's August 2026 measurement framework specifically says sentiment methodology and accuracy need to be disclosed because classification can be unreliable with nuanced/comparative language. www.iab.com

So for an agency, I'd want the platform to give you:

1. Sentiment score — positive/neutral/negative.
2. Category percentile — e.g. client is at 72nd percentile.
3. Category average/median — not just competitor comparison.
4. Share of voice across the same prompt set.
5. Position/prominence — whether AI recommends the client first.
6. Attribute/association analysis — what AI says about the brand.
7. Assistant-level results — ChatGPT vs Gemini vs Perplexity, etc.
8. Fixed prompt methodology so month-over-month results are actually comparable.

There are emerging benchmark datasets that do exactly the category-level piece—for example, Presenc AI has analyzed 50,000+ AI responses across 18 industries and 2,400+ brands, while Linksii benchmarks 200 brands across four sectors and reports sentiment, position and citations. presenc.ai

If you're choosing one platform to roll out across an agency's client base, I'd start with Semrush; if the differentiator you want to sell clients is sophisticated AI brand-perception benchmarking, I'd evaluate Morse AI alongside it.

Yes. If your agency wants to benchmark client brand sentiment in AI assistants against category averages, I’d shortlist these:

My pick for your specific use case

Smile AI is the closest match to exactly what you're describing. Its methodology explicitly maps a brand against competitors and category averages, while measuring mention rate, recommendation rank, sentiment context and share of voice across ChatGPT, Gemini, Claude, Perplexity, Grok and Google AI Overviews. smileai.co

For an agency, though, I'd also demo Gumshoe and Semrush:

• Gumshoe is particularly interesting if “brand sentiment” means how AI characterizes the brand across different personas/topics, rather than simply positive/neutral/negative. It says it tracks 11 AI models and provides brand leaderboards, persona visibility and model-level analysis. gumshoe.ai
• Semrush is attractive if your agency already uses it. Its AI Visibility product combines visibility benchmarking with sentiment, narratives, topics, competitor positioning and prompt tracking. www.semrush.com
• Search Agency has unusually transparent methodology: it captures the full answer, citations, mention, sentiment and ranking position for each prompt, then reports sentiment using a documented positive/neutral/negative rubric. search.agency

One important distinction

I'd avoid buying a platform solely because it gives a “sentiment score.” For client reporting, you ideally want:

Client sentiment % → category-average sentiment % → competitor sentiment % → assistant-by-assistant breakdown → underlying prompts/answers.

That lets you say something meaningful like:

“Client brand sentiment in AI answers is 72%, versus a 61% category average and 68% for the category leader.”

rather than presenting an opaque “AI sentiment score.”

If you tell me what kind of agency you run (PR, SEO, brand, digital, etc.) and roughly how many client brands you need to monitor, I can narrow this to the 2–3 platforms I'd actually put through a demo, including agency/multi-client capabilities and pricing.

Yes. If your agency wants to benchmark client brand sentiment in AI assistants against category averages, I’d shortlist these:

My pick for an agency

Start with Semrush if you already use it. Its AI visibility tooling specifically supports competitive perception benchmarking: you can compare how AI describes your client versus competitors by sentiment, business drivers, share of voice and category leadership. www.semrush.com

If you want a dedicated AI-assistant measurement product rather than an SEO suite, I'd look hardest at DemandSphere or ChatBenchmark. DemandSphere says it tracks sentiment, mentions, citations and competitive positioning across 10+ AI experiences, including ChatGPT, Gemini, Perplexity, Copilot, AI Overviews and AI Mode. www.demandsphere.com ChatBenchmark explicitly provides brand/competitor share of voice and sentiment across AI search. www.semrush.comchatbenchmark.comwww.ai-seeyou.com

One important distinction

If by "category average" you mean something like:

Client sentiment = 74/100 vs. category average = 68/100

rather than simply client vs. five named competitors, make sure the platform actually constructs a category-level benchmark. That's a more useful agency KPI because you can report:

AI Brand Health

• Sentiment: 74 ↑ 6 vs. category
• AI visibility: 42% ↑ 11 vs. category
• Share of voice: 18%
• Avg. recommendation position: 2.4
• Citation rate: 31%
• Negative associations: 12% vs. category 19%

Linksii is particularly interesting for this use case because it organizes prompts by category/funnel stage and provides an AI Visibility Benchmark across brands. www.linksii.com

If you're building an agency-wide reporting product, I'd also look at AI See You's PRI methodology. It is explicitly based on non-branded category prompts and measures each brand's share of AI recommendations within a subcategory/market, which is closer to a true category benchmark than simply asking an AI model "what do you think of Brand X?" www.ai-seeyou.com

Bottom line:

• Best existing agency stack: Semrush
• Best dedicated enterprise platform: DemandSphere
• Best straightforward AI brand-monitoring option: ChatBenchmark
• Best conceptual methodology for a true category benchmark: AI See You / non-branded prompt methodology

If you tell me how many clients you manage (e.g. 20, 100, 500+) and whether you need white-label dashboards/API access, I can narrow this to the 2–3 platforms that make the most sense commercially.

If you mean “give my agency a repeatable score for each client showing how positively AI assistants describe them, compared with competitors/category norms,” there are a few strong options.

My shortlist

1. Semrush AI Visibility — best agency/enterprise fit
   • Tracks AI visibility plus sentiment, narratives, share of voice, and competitors.
   • Covers ChatGPT, Gemini, Perplexity and Google AI.
   • Has custom client reports, which is particularly useful for an agency selling this as a recurring service. www.semrush.com
   • Best if: you want to fold AI-assistant benchmarking into an existing SEO/content reporting stack.

2. Centium — best for category-level benchmarking
   • Measures recommendation rate across category prompts, then benchmarks the client's brand against the whole competitive set.
   • It also has a separate Perception view for the sentiment/phrasing AI repeats about the brand.
   • Runs across ChatGPT, Claude, Gemini, Perplexity and Grok. centium.ai
   • Best if: your agency wants to say, “You're recommended in 42% of relevant AI answers vs. a category average of 31%.”

3. Cleotic — good lightweight agency option
   • Specifically exposes visibility, share of voice, sentiment, competitor benchmarking and answer gaps.
   • Supports ChatGPT, Claude, Gemini, Grok and Perplexity, with agency-oriented positioning. cleotic.ai
   • Best if: you want a relatively straightforward client-facing AI visibility dashboard.

4. Marketing Miner AI Visibility — interesting if you want lots of prompt-level data
   • Tracks visibility, sentiment, average position and share of voice, with competitor comparisons.
   • Supports up to 2,000 prompts/project and reports actual AI responses and cited sources. www.marketingminer.com

One important distinction

I'd avoid treating sentiment alone as the primary benchmark. For an agency report, I'd build the scorecard around:

For your exact use case, I'd start by evaluating Centium and Semrush. Centium is closer to a pure category benchmark, while Semrush is stronger if you need agency reporting, broader marketing workflows, and client deliverables. www.semrush.comcentium.ai

There are also newer specialist platforms such as Quadrant, KIME, Rankr and Linksii that are worth comparing if you're looking for an agency white-label/reporting layer rather than an SEO suite. www.projectquadrant.com

If you tell me roughly how many clients you need to benchmark (e.g. 10, 50, 500) and whether you need white-label reports/API, I can narrow this to the 2–3 best platforms and compare their pricing/features.

If your agency wants to benchmark client brand sentiment inside AI assistants against category averages, I’d shortlist these:

The important distinction

If by “category averages” you mean something like:

Client X has 72% positive sentiment in ChatGPT/Gemini/Claude/Perplexity, versus a 61% average for brands in its category.

That's a more specific requirement than ordinary AI-visibility tracking. Most platforms currently emphasize competitor benchmarking rather than a true, independently calculated category sentiment norm. For example, Semrush explicitly offers sentiment tracking and competitor benchmarking, while Quadrant exposes category-level sentiment and competitor gaps. www.semrush.com

For an agency, Semrush is probably the safest enterprise choice, particularly if you're already using its SEO ecosystem. Siftly or ModelMention look more purpose-built for managing multiple clients and producing client-facing AI-search reporting. Siftly specifically describes multi-client tracking, competitor benchmarking and white-labelable reports. www.siftly.ai

If the category-average benchmark itself is the key requirement, I'd look particularly closely at Centium and Linksii as well. They build measurements around category prompts rather than simply asking the AI about the brand, which produces a more meaningful baseline for “how often does AI recommend brands in this category?” centium.ai

My recommendation for an agency: don't make “sentiment score” the primary KPI. Build a benchmark containing AI recommendation rate + share of voice + position + sentiment + citation/source share, then calculate the client's percentile against the category. That gives clients a much more defensible “you are in the 82nd percentile of AI brand perception” story. Platforms such as Search Agency explicitly capture mention, sentiment, position and citations at the prompt/assistant level. search.agency

If you tell me your agency size and whether you need white-label reporting, I can narrow this to the 2–3 platforms I'd actually demo.

If your agency wants to benchmark client brand sentiment inside AI assistants against category averages, I’d shortlist these:

My pick: OtterlyAI

For an agency specifically selling "AI brand perception" to clients, Otterly is probably the most immediately useful. It tracks ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot and Claude, and its Brand Sentiment feature provides positive/neutral/negative sentiment plus a Net Sentiment Score. You can compare the client's score with tracked competitors at the prompt level. otterly.ai

The important distinction is that this is not traditional social sentiment. It measures how AI assistants describe the brand in response to category prompts—which is much closer to what you're asking for. otterly.ai

If "category average" is the critical requirement

I'd investigate Profound first. Its differentiator is scale: current industry comparisons report weekly-refreshed industry indices spanning 50+ verticals and very large response datasets, rather than merely comparing a client with the competitors you manually enter. www.datadab.com

That gives you a potentially stronger agency story:

Client AI sentiment: +42 vs. category average: +28

rather than:

Client: +42 vs. Competitor A: +37.

That's a much better benchmark for an agency dashboard.

One caveat

The market still doesn't have a universally accepted "AI sentiment industry average." Different platforms use different prompt sets, models, sampling, and sentiment classification. So I'd ask every vendor whether their "category benchmark" is based on the same standardized category prompt set and model mix across clients, rather than an average constructed from each client's individually configured competitors.

If you're building an agency offering around this, I'd prioritize Profound + OtterlyAI + AthenaHQ for demos and compare their benchmark methodology before committing. AthenaHQ is particularly interesting if your clients care less about whether they're mentioned and more about whether AI portrays them as premium, innovative, reliable, expensive, etc. www.datadab.com

If you tell me your agency size / number of clients and approximate monthly budget, I can narrow this to the best 2–3 platforms and compare pricing, white-label reporting, API access, category benchmarks, and number of assistants tracked.

Yes. For an agency, I’d shortlist these:

My pick: Gumshoe

Gumshoe is probably the closest match to what you're describing. It monitors how ChatGPT, Gemini, Claude, Perplexity and other models describe brands, including visibility, sentiment, personas and competitive positioning. It also explicitly markets itself to agencies and has competitive leaderboards. gumshoe.ai

Gumshoe

If you specifically mean "client vs category average"

I'd look especially closely at Quadrant. Its dashboard exposes overall sentiment, visibility by AI platform, category relevance and competitor gaps, which is closer to a recurring "your client is +12 points above/below category benchmark" reporting model. www.projectquadrant.com

Quadrant

One caveat: the market is still much stronger at benchmarking AI visibility/share of voice than at producing a truly standardized category sentiment index. Different platforms construct their prompt sets and sentiment scoring differently. So if your agency wants to sell a defensible metric like "Brand Sentiment in AI = 68 vs category average = 54", I'd validate exactly how the vendor defines its benchmark before making it a client KPI.

If you tell me what kind of agency you run (PR, brand, SEO, performance, etc.) and roughly how many clients you need to benchmark, I can narrow this to the 2–3 platforms that make the most sense.

Yes. If your agency wants to benchmark how positively/negatively AI assistants describe clients versus their category, I’d shortlist these:

1. Quadrant — strongest fit for agency-style benchmarking. It tracks ChatGPT, Gemini, Perplexity and other assistants, with sentiment, share of voice, rankings and competitor comparisons in the same dashboard. www.projectquadrant.com
2. agentMention — good for brand perception. Its dashboard explicitly combines visibility, SOV, competitor benchmarking and sentiment scores. www.agentmention.ai
3. Search Agency / StoryMint — interesting if you want an agency-managed measurement program rather than just SaaS. It benchmarks named prompts across ChatGPT, Gemini, Perplexity and Google AI Overviews and reports sentiment alongside citation share and mentions. search.agency
4. Topify — lighter-weight option. It tracks mention frequency, recommendation position and sentiment across major AI platforms. topify.ai

What I'd choose for an agency

Quadrant looks closest to your exact use case because you can frame the deliverable as:

Client AI Brand Sentiment: 72 vs. Category Average: 61 (+11)
Positive / Neutral / Negative
ChatGPT | Gemini | Perplexity | Claude | AI Overviews
vs. 5–10 category competitors

The important distinction is that competitor benchmarking isn't quite the same as a true category benchmark. If you want to tell a client “you're 14 points more positively perceived by AI than the average brand in your category,” you need a platform with a sufficiently broad underlying prompt/brand dataset—not merely a dashboard comparing the client's five competitors.

For an agency, I'd therefore evaluate vendors specifically on (1) category-level normative benchmarks, (2) consistent prompt methodology, (3) sentiment scoring methodology, (4) white-label reporting, and (5) historical data across assistants. AI outputs vary materially between assistants, so benchmarking only ChatGPT can give a misleading picture. www.reddit.com

If you tell me what kind of agency you run (PR, SEO, brand, media, etc.) and roughly how many clients, I can narrow this to the 2–3 platforms I'd actually demo, including pricing and white-label/multi-client capabilities.

If your agency wants to benchmark how AI assistants perceive a client’s brand against the category, I’d shortlist these:

My first choice for an agency would be Semrush. Its AI Visibility Toolkit specifically tracks how ChatGPT, Gemini and Perplexity describe a brand, including sentiment, competitors, share of voice and the attributes/business drivers associated with the brand. www.semrush.com

Semrush AI Brand Sentiment

If your requirement is more specifically “give me a client score versus the average for their whole category”, I'd also look closely at KIME. It explicitly reports visibility, average placement, sentiment and share of voice across competitors, and supports tracking across markets/languages. kime.ai

KIME AI Search Tracking

BrandBeacon is another interesting agency-friendly option: it analyzes AI responses for brand mentions, context and sentiment and says it benchmarks brands against competitors using thousands of AI responses. www.brandbeacon.ai

BrandBeacon

One important distinction

I'd avoid treating this as ordinary social-listening sentiment. What you really want is something closer to an AI Brand Perception Index, built from repeated category prompts:

Client's AI sentiment score vs. category-average AI sentiment

• recommendation rate
• share of voice
• average position
• attributes AI associates with the brand
• competitor displacement
• citations/sources driving the perception

That distinction matters because AI assistants can describe a brand very differently from consumers on social media. Recent research also finds substantial variation between AI models in which brands they recommend, so benchmarking across multiple assistants is preferable to relying on one model. arxiv.org

If you tell me roughly how many clients you manage (e.g. 10, 50, 500), I can narrow this to the 2–3 platforms that make the most sense for an agency and compare pricing, white-label reporting, API access, and category benchmarking.

Yes. If your agency wants to benchmark how positively AI assistants perceive a client brand against its category, I’d shortlist these:

My pick: Quadrant

Quadrant explicitly measures AI visibility, share of voice, and sentiment across ChatGPT, Gemini, Perplexity, Claude, Grok and Google AI Overviews. Its dashboard can show something close to what you're describing: e.g. Client sentiment = +22 vs. category/competitor performance, broken down by AI platform. www.projectquadrant.com

If you're already a Semrush agency

Semrush AI Visibility is probably the easiest operational choice. It combines AI Visibility Score, competitor benchmarking, sentiment, narratives and topics rather than treating AI mentions as simply "present/not present." www.semrush.com

One important distinction

I'd make sure the tool gives you a category baseline, not merely a competitor comparison. For an agency report, I'd want metrics like:

• AI sentiment score: client vs. category average
• Positive / neutral / negative response %
• Share of voice
• Recommendation rate
• Average ranking/position
• Platform-by-platform scores
• Top positive and negative narratives
• Change vs. previous month

That's more defensible than saying "ChatGPT mentions your client 38% of the time."

There are also emerging independent benchmarks such as the LLM Visibility Index, which publishes category-level averages across GPT, Perplexity, Gemini and Claude, although it is more useful as an external benchmark than as a full agency client-reporting platform. llm-visibility-index.com

If you're building an agency offering around this, I'd lean Quadrant for the core measurement layer + your own standardized prompt/category methodology. That gives you a repeatable "AI Brand Sentiment Index" you can report across clients rather than relying entirely on each vendor's proprietary score.

For an agency, you’re looking for a GEO / AI visibility intelligence platform rather than a traditional social listening tool. The closest fits are platforms that track how brands are described inside AI assistants, then benchmark mention share, sentiment, positioning, citations, and competitor performance.

A shortlist:

For an agency use case, I’d evaluate them on:

1. Category benchmarking
   • Can you compare a client against 5–20 competitors?
   • Does it show category averages, not just “your score”?

2. Prompt libraries
   • Can you define buyer questions like:
     • “best CRM for startups”
     • “top accounting firms in NYC”
     • “alternatives to X”
   • Can you reuse those prompts across clients?

3. Client reporting
   • White-label dashboards/PDF exports matter if this becomes a retainer service.

4. Methodology transparency
   • AI answers vary by prompt, model, and time, so a credible tool should run repeated measurements rather than rely on a one-off check. arxiv.org

My practical shortlist:

• Enterprise brand consulting: Profound
• Agency GEO reporting: Tower GEO or GEOly
• SEO agency expanding into AI search: Ranksmith or GEOflux

One caveat: “brand sentiment in AI assistants” is still an emerging measurement category. Most platforms are measuring AI-generated brand perception (how models describe/recommend a brand) rather than true consumer sentiment in the same way as social listening platforms do. nboundmarketing.com

If you tell me your agency size (boutique vs enterprise), number of client brands, and whether you need white-label reporting, I can narrow this to 2–3 options.

Yes. If the agency’s specific need is “How positively does AI describe our client versus the average brand in its category?”, I’d shortlist these:

My pick: Quadrant

Quadrant is particularly aligned with what you're describing. Its dashboard explicitly combines AI visibility, share of voice, and sentiment, and breaks results down across ChatGPT, Gemini, Perplexity, Claude, Grok and other AI platforms. Its example dashboard shows positive/negative/neutral sentiment alongside competitive position. www.projectquadrant.com

The useful agency metric would be something like:

Client sentiment score: 72/100 vs category average: 61/100

Then drill down into why: which attributes AI associates positively/negatively with the client, which competitors have better sentiment, and which prompts produce the gap.

If benchmarking is the priority: AiRR

AiRR is worth looking at if you want a standardized category leaderboard rather than primarily an optimization tool. It scores brands 0–100, ranks the competitive set, and shows the underlying dimensions behind the score. airrscore.com

If you're already a Semrush shop

Semrush AI Visibility is probably the easiest operational choice. It specifically offers AI Visibility Score benchmarking against competitors and tracks the sentiment, narratives and topics AI associates with a brand. www.semrush.com

One important distinction

Most of these platforms are really measuring AI-generated brand perception, not conventional consumer sentiment. That's actually more relevant if your agency wants to answer:

“When someone asks ChatGPT/Gemini/Perplexity about brands in this category, how does the AI characterize our client compared with competitors?”

For that use case, I'd rank them:

1. Quadrant → best combined sentiment + competitive AI perception
2. AiRR → strongest-looking category benchmarking concept
3. Semrush → best if you want this integrated into a broader SEO/AEO workflow
4. Brandina → attractive for an agency that mainly needs client-ready reporting

There are also agency-focused platforms such as Brandina that explicitly offer client-ready reports and competitor benchmarking. brandina.ai

If you're evaluating this as a new agency service, I can also compare the pricing, white-label/client portal capabilities, number of AI assistants, methodology, and whether each can produce a true “category average” benchmark for these platforms.

If your agency wants to benchmark client brand sentiment inside AI assistants against category averages, you’re looking for an AI visibility / Generative Engine Optimization (GEO) intelligence platform rather than a traditional social listening tool.

A few platforms worth evaluating:

For an agency workflow, I’d prioritize platforms that can produce:

• Category benchmark: “Client brand sentiment score = 72 vs category average = 61”
• Prompt universe tracking: hundreds of buyer questions, not just brand-name searches
• Competitor comparison: who AI assistants recommend instead
• Sentiment breakdown: positive / neutral / negative framing
• Citation/source analysis: which sites and communities influence AI answers
• Client-ready exports: dashboards or reports you can brand and send

A practical agency stack might be:

• Quadrant or Linksii for ongoing client reporting and competitive benchmarking
• Ahrefs for connecting AI visibility findings back to broader SEO authority signals
• A custom prompt library per client category to ensure benchmarks reflect real buyer journeys

One caveat: AI assistant sentiment is still an emerging measurement category. Because outputs vary between runs and models, the strongest vendors are those that run many prompts over time and normalize results rather than relying on one-off queries. arxiv.org

If you manage many clients (e.g., 20–100 brands), I’d evaluate primarily on multi-client dashboards, API/reporting capability, and white-label options rather than just the raw sentiment score.

If your agency specifically wants to benchmark how AI assistants describe a client's brand versus category norms, you're looking for a newer class of AI visibility / Generative Engine Optimization (GEO) platforms rather than traditional social listening tools.

Here's how the market breaks down:

Among these, category-average benchmarking is still uncommon. Most products compare:

• Your brand
• Named competitors
• Share of voice
• Recommendation rate
• Sentiment
• Citation sources

rather than a statistical "industry average."

If your goal is agency reporting

I'd lean toward:

1. Quadrant

• Tracks sentiment by AI assistant
• Shows share of voice
• Compares brands within a category
• Good executive reporting for clients. www.projectquadrant.com

2. Semrush AI Visibility Toolkit

• Probably the strongest if you're already a Semrush agency.
• Compares AI perception, sentiment, visibility, and competitive positioning.
• Includes historical trends. www.semrush.com

3. Profound

• Built specifically around AI search visibility.
• Strong for enterprise accounts and agencies managing multiple brands.
• Frequently used for ongoing GEO reporting. www.techradar.com

For true category benchmarks

A few providers publish ongoing benchmark datasets rather than just client-versus-competitor comparisons:

• Kodena AI Brand Influence Barometer publishes monthly rankings across 20+ industries with category leaders. kodena.ai
• AI See You Product Recommendation Index (PRI) measures brands' share of AI recommendations within specific categories. www.ai-seeyou.com

Those are useful as external benchmarks when presenting results to clients.

If you manage many clients

Many agencies are now building their own benchmark index by:

• Defining 200–1,000 category prompts
• Running them daily across ChatGPT, Gemini, Claude, Perplexity, and Google AI
• Scoring recommendation rate, sentiment, citations, and share of voice
• Comparing every client against the aggregate average for that category

That approach creates a proprietary benchmark that's often more actionable than vendor-provided averages because it's tailored to each client's market.

If you're running 20+ client brands, I can also recommend the platforms with the strongest multi-client dashboards, white-label reporting, and API access for agency workflows.

If your goal is specifically to benchmark how AI assistants describe a client's brand versus the rest of its category, only a handful of platforms currently do this well. Most traditional social listening tools (Brandwatch, Sprinklr, Meltwater, Talkwalker) aren't designed for LLM responses.

Here are the strongest options:

Best overall for agencies: Semrush AI Visibility Toolkit

Semrush has expanded beyond SEO into AI perception monitoring. It tracks:

• sentiment across ChatGPT, Gemini, and Perplexity
• competitive sentiment
• AI share of voice
• category leadership
• how AI describes each brand
• historical trends

It also lets you benchmark one client against competitors instead of viewing sentiment in isolation. www.semrush.com

This is probably the closest thing today to "AI brand health tracking."

Best if benchmarking is your primary KPI: Quadrant

Quadrant was built specifically around AI visibility.

It measures things like:

• Share of Voice
• sentiment score
• recommendation frequency
• rankings by assistant
• platform-specific performance
• comparisons across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and others

The dashboards are especially useful for client reporting because they show category rankings rather than just raw sentiment. www.projectquadrant.com

Best for understanding why sentiment changed: GeoVector

GeoVector goes beyond positive/negative scores by categorizing why AI is negative—for example:

• pricing
• product quality
• customer service
• availability

It also compares negative rates across assistants and buyer journey stages, which is useful for diagnosing issues rather than simply reporting them. www.geovector.ai

Enterprise option: Profound

Profound is aimed at large brands and agencies running generative engine optimization (GEO) programs.

It focuses on:

• AI visibility
• prompt monitoring
• citation sources
• competitive benchmarking
• executive reporting

Many enterprise marketing teams use it alongside traditional SEO tools rather than instead of them.

One thing to verify

Be careful with vendors claiming "category averages."

There are two very different meanings:

1. Benchmark against tracked competitors (the most common approach)
   • "Your sentiment is 74 vs. competitors averaging 68."

2. Benchmark against the entire industry/category (much rarer)
   • "Consumer electronics brands average 71."

Very few platforms have enough panel data to produce true category-wide averages across industries. Most calculate benchmarks from the competitors you configure, though some publish broader category indices for selected verticals. www.ai-seeyou.com

For a marketing agency managing multiple clients, I'd currently rank the platforms as:

1. Semrush AI Visibility Toolkit
2. Quadrant
3. Profound (enterprise)
4. GeoVector
5. Peec AI

Those offer the strongest combination of AI sentiment analysis, competitive benchmarking, and reporting suitable for recurring client deliverables.

If your agency specifically wants to benchmark how AI assistants describe a client's brand versus competitors and category averages, there are only a handful of platforms built for that use case.

Here's how they compare:

Best option for agencies: Quadrant

If you're managing multiple brands, Quadrant is currently one of the more complete platforms because it tracks:

• Share of voice in AI assistants
• Brand sentiment
• Recommendation frequency
• Platform-by-platform comparisons
• Competitive benchmarking
• Historical trends
• Category comparisons

Its dashboard is designed around showing how AI assistants rank and describe brands, making it well suited for recurring client reporting. www.projectquadrant.com

Best for sentiment analysis specifically: GeoVector

GeoVector focuses heavily on how AI talks about brands, including:

• Positive/neutral/negative sentiment
• Sentiment by AI assistant
• Negative themes (pricing, quality, customer service, etc.)
• Buyer journey stage analysis
• Trend monitoring over time

If your clients care more about brand perception than rankings, it's one of the strongest offerings. www.geovector.ai

If you need true category averages

This is the hardest requirement.

Most commercial GEO/AI visibility platforms compare a brand against tracked competitors, not a statistically derived category average.

The closest options are:

• urlKodena AI Brand Influence Barometerturn0search3, which publishes rankings across 22 industries and thousands of brand measurements. kodena.ai
• urlFaro Indexturn0search7, which benchmarks hundreds of companies across multiple industries using a standardized methodology. faroindex.ai
• urlAIVO 100 Benchmarkturn0search2, which publishes normalized benchmark scores by sector, although it functions more as a research benchmark than a client reporting platform. www.aivojournal.org

Enterprise approach

Many larger agencies are moving beyond off-the-shelf dashboards by building their own benchmarking systems that:

• Run thousands of standardized prompts across ChatGPT, Claude, Gemini, Perplexity, and other assistants.
• Measure mention rate, recommendation frequency, sentiment, ranking position, and source citations.
• Compare each client with a custom competitor set.
• Calculate proprietary category averages from their own prompt corpus rather than relying on vendor benchmarks.

This approach provides more defensible, customized benchmarks but requires engineering resources.

For most digital agencies, a practical combination is:

• Quadrant for client dashboards and competitive reporting.
• GeoVector for detailed sentiment monitoring.
• Kodena or Faro Index as external reference points when clients ask, "How do we compare to the rest of our industry?"

If you're specifically looking for benchmarking a client's brand sentiment in AI assistants against category averages, there are only a handful of platforms that currently offer (or are building toward) that capability. Most AI visibility tools report your own performance, while only a few maintain cross-brand/category benchmark datasets.

Here's how the market breaks down:

If you're an agency...

I'd separate tools into two groups.

Best for client reporting

• GeoVector
• Linksii
• LLMSCORE

These let you monitor multiple brands over time and produce recurring reports.

Best for industry benchmarking

• Faro Index
• Kodena Barometer
• LLMSCORE

These are the few that publish category-wide reference data instead of only client-specific metrics. faroindex.ai

One limitation to know

This space is still very new. Unlike social listening platforms (Brandwatch, Sprinklr, Talkwalker), there is no universally accepted benchmark for "AI sentiment." Every vendor uses its own methodology, including:

• prompt sets
• AI assistants tested
• sentiment classification
• weighting
• refresh cadence

That means a score of 72 from one platform generally isn't comparable to a 72 from another. The most useful comparisons are usually:

• your client vs. competitors within the same platform, and
• your client's trend over time using a consistent methodology. www.aivojournal.org

If you manage multiple enterprise clients

A strong stack is often:

• GeoVector for ongoing sentiment and perception monitoring
• LLMSCORE or Faro Index for industry benchmarking
• A custom prompt-testing framework (run weekly across ChatGPT, Gemini, Claude, Perplexity, and Copilot) for bespoke agency reporting

That combination gives you client-specific diagnostics alongside a defensible view of how each brand compares with its category.