ChatGPT answers, unedited

Yes. For a mid-market SaaS team, I’d shortlist Profound and OtterlyAI first. Both are specifically built around AI-search visibility rather than traditional SEO rank tracking.

1. Profound — my first choice

Profound gives you Share of Voice, Visibility Score, competitor ranking, Citation Share, mention position, and sentiment, broken down by platform, topic and prompt. It can also identify competitors based on who is actually winning AI citations, rather than relying solely on the competitor list you give it. Profound Profound Knowledge Base

The particularly useful metric for your use case is Citation Share: you can see your domain's percentage of citations versus competitors and trend it over time, including by platform, topic and prompt. Profound Knowledge Base Profound

It tracks major answer engines including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot, Grok and DeepSeek. Profound

I'd choose it if: your team wants a serious competitive-intelligence dashboard and expects to use the data to drive content/AEO decisions.

2. OtterlyAI — probably the one I'd demo alongside it

Otterly has a very direct Share of Voice vs. competitors view, with trends by prompt, engine and market. Its citation reporting shows which URLs AI engines cite, how often they're cited, and whether those citations go to you or competitors. Otterly OtterlyAI

It also lets you discover competitors that appear in your tracked AI answers but weren't originally on your list, and it doesn't impose a competitor-count limit. OtterlyAI

I'd choose it if: you want the core measurement—"Are we showing up, who beats us, and what sources are getting cited?"—without necessarily buying the broader enterprise-oriented platform.

What I'd actually measure

For a SaaS competitive program, I wouldn't stop at a single "AI visibility" score. I'd build the dashboard around:

• Share of Voice: % of AI brand mentions belonging to you vs. each competitor.
• Citation Share: % of source citations going to your domain vs. competitors.
• Mention position: Are you first/second/third when you're mentioned?
• Coverage: % of your tracked prompts where you appear at all.
• Competitive gaps: prompts where a competitor appears and you don't.
• Citation winners: domains/pages that repeatedly get cited instead of your content.
• Engine breakdown: ChatGPT vs. Gemini vs. Perplexity vs. Google AI results.
• Trend: weekly/monthly change rather than reacting to individual answers.

That distinction between mention share and citation share is important: you can be frequently mentioned as a SaaS vendor while competitors' websites are actually supplying the sources AI uses to construct the answer. Profound explicitly separates these metrics. Profound

Bottom line: I'd run a Profound vs. OtterlyAI bake-off using ~50–100 real commercial prompts in your category. Compare not just the dashboards, but whether their underlying answers/citations correspond to what your team sees in the actual AI products. For a mid-market SaaS team, OtterlyAI is the one I'd investigate for simplicity/value; Profound is the one I'd investigate for depth and competitive intelligence.

It tracks major answer engines including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot, Grok and DeepSeek. Profound

I'd choose it if: your team wants a serious competitive-intelligence dashboard and expects to use the data to drive content/AEO decisions.

2. OtterlyAI — probably the one I'd demo alongside it

Otterly has a very direct Share of Voice vs. competitors view, with trends by prompt, engine and market. Its citation reporting shows which URLs AI engines cite, how often they're cited, and whether those citations go to you or competitors. otterly.ai help.otterly.ai

It also lets you discover competitors that appear in your tracked AI answers but weren't originally on your list, and it doesn't impose a competitor-count limit.

I'd choose it if: you want the core measurement—"Are we showing up, who beats us, and what sources are getting cited?"—without necessarily buying the broader enterprise-oriented platform.

What I'd actually measure

For a mid-market SaaS team, you’re looking for AI visibility / GEO (generative engine optimization) platforms rather than traditional SEO rank trackers. The useful ones typically measure:

• AI share of voice (SOV): % of tracked AI answers where your brand appears vs competitors
• Citation share: which domains/pages get cited by AI models
• Competitor displacement: prompts where competitors appear and you don’t
• Trend history: weekly/monthly movement by model, prompt category, and competitor
• Answer snapshots: the actual ChatGPT/Gemini/Perplexity/etc. responses behind the metrics

Some tools worth evaluating:

For a mid-market SaaS buying process, I’d shortlist based on your operating model:

If you need a weekly competitive dashboard for leadership

Look at Profound, DeepSmith, Visibility.so, or SearchDock. You’ll want:

• “Are we gaining/losing AI visibility?”
• “Which competitors overtook us?”
• “Which sources are causing the gap?” www.ai-visibility-software.com

If you’re a lean growth/SEO team

Start with Peec AI, AEOVisor, or Visibility.so. They’re closer to the workflow of:

1. Pick buyer prompts (“best CRM for X”, “alternatives to Y”)
2. Track AI answers
3. Find competitor citation gaps
4. Create content/PR/product pages to close gaps www.aeovisor.comgracker.ai

Metrics I’d require in a vendor demo

Ask them to show:

• Competitor SOV by prompt cluster

Example: “project management software for enterprise teams” → Brand A 42%, You 18%, Brand B 12%

• Citation leaderboard
  • Which URLs are being cited?
  • Which competitor pages appear repeatedly?
  • Are citations coming from docs, blogs, reviews, Reddit, comparison sites, etc.?

• Model breakdown
  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
  • Google AI features

• Historical trend

Not just “you appeared today,” but “your AI presence moved from 12% → 19% over 90 days.”

• Prompt library management

Whether you can track the questions your actual buyers ask, not generic keywords.

One caution: AI SOV is still a directional competitive metric, not equivalent to pipeline or traffic. A strong setup usually combines AI visibility data with your SEO analytics, content performance, and win/loss research. aishareofvoice.io

For a typical mid-market SaaS team, I’d probably run a bake-off with Profound vs DeepSmith vs Visibility.so/SearchDock and score them on citation accuracy, competitor coverage, prompt control, and reporting—not just the headline SOV number. www.ai-visibility-software.com

Yes. For a mid-market SaaS team, I’d shortlist these rather than buying a general SEO suite and hoping its AI module is enough:

Current market comparisons consistently identify Profound, Peec AI, Otterly, and Scrunch as the main GEO-native products, while Semrush and Ahrefs are increasingly adding AI-visibility capabilities. www.datadab.comtrygeohero.combloomiro.com

What I'd prioritize for your use case

Don't just look for a generic "AI visibility score." You want these four things:

1. Competitive share of voice — e.g. you 23%, Competitor A 41%, Competitor B 18% across the same buyer prompts.
2. Citation share and source tracking — which domains/pages are causing competitors to get cited, and which of your pages are cited.
3. Prompt-level competitive gaps — "Best X for mid-market SaaS" → competitor appears, you don't.
4. Trend data — SOV/citation changes by week/month and ideally by AI engine, so you can tell whether an optimization effort actually changed visibility.

That's important because SOV can be misleading without the underlying citation data. For example, current benchmarking research shows that a small handful of tools can dominate AI answers, making the source of those citations much more actionable than the headline visibility score. foglift.io

My shortlist for a mid-market SaaS team

Start with Peec AI if your primary question is: "Are we gaining or losing ground to our competitors in AI answers, and where?" It's positioned particularly well for competitor benchmarking and regional tracking. www.datadab.comtrygeohero.com

Evaluate Profound if this is becoming a serious competitive-intelligence program and you need deeper citation attribution, reporting, and scale. It tends to be the more enterprise-oriented option. www.datadab.comtrygeohero.combloomiro.com

Evaluate Otterly if you want to get started cheaply and prove the value before committing to a larger platform. Current comparisons put it among the more accessible options. www.datadab.comtrygeohero.combloomiro.com

If you're already a Semrush customer, I'd also test its AI Visibility tooling before adding another vendor; the advantage is consolidating traditional search and AI-search measurement.

One useful benchmark for your buying process: don't ask vendors only to demo their dashboard. Give each the same 25–50 real buyer prompts and ask them to show your SOV, competitor SOV, citations, cited URLs, and historical changes. The differences in methodology become much easier to spot.

If you tell me roughly your monthly budget (e.g. <$500, $500–2k, $2k+) and how many competitors/prompts you want to track, I can narrow this to the 2–3 products I'd actually put through a trial.

Yes. For a mid-market SaaS team, I’d shortlist these three first:

1. Peec AI — probably my first demo

Peec explicitly measures visibility, position, sentiment and share of voice against competitors, with daily per-engine updates. It also shows the most-cited sources for your tracked prompts, which gets directly at your citation-trend question. peec.aiaiaethon.com

So you can answer things like:

• “What % of AI answers mention us vs. Salesforce/HubSpot/competitor X?”
• “Is our share of voice rising month over month?”
• “Which prompts are competitors winning?”
• “Which domains are being cited most often when competitors appear?”
• “Are we gaining citations from particular publishers?”

Peec AI's AI Visibility product

2. Otterly — good pragmatic alternative

I'd look at Otterly if you want a more straightforward monitoring product. Current comparisons describe it as particularly suited to teams wanting prompt tracking and citation monitoring without a heavyweight setup. www.leanlabs.com

It's worth putting head-to-head with Peec on your actual prompt set rather than comparing feature checklists.

3. Profound — if this is becoming a serious BI function

Profound is the one I'd investigate if you're expecting lots of prompts, markets, competitors, engines, stakeholders and reporting requirements. Independent 2026 comparisons characterize it as the enterprise/data-scale option. peec.aiwww.datadab.comaiaethon.com

A recent benchmark also found Profound among the most frequently named/cited AI-visibility vendors, although that's a benchmark of the vendors themselves—not evidence that Profound will necessarily produce better measurements for your company. foglift.io

What I'd actually evaluate in the demos

Don't just ask “do you have share of voice?” Almost everyone now says yes. The important question is how they calculate it.

I'd require these five things:

1. Competitor SOV by prompt cluster — not just one blended company-wide number.
2. SOV over time — weekly/monthly historical trends with consistent prompts and engines.
3. Citation share — your cited domains/pages vs. competitors' cited domains/pages.
4. Citation movement — which sources newly started/stopped citing you, not merely a list of citations.
5. Raw answer evidence — ability to inspect the actual AI response behind every metric.

That last one is especially important. AI answers fluctuate, so a dashboard saying “SOV fell 4%” isn't very actionable unless you can drill into which prompts, engines, competitors and citations caused the change.

My recommendation

For a typical mid-market SaaS GTM/SEO team, I'd do a Peec vs. Otterly bake-off, and add Profound if you have enterprise-level reporting or international/large-scale requirements.

Also, I'd define your KPI stack as:

AI Visibility → Share of Voice → Position → Citation Rate → Citation Share → Sentiment

rather than treating “AI visibility” as one opaque score. Those are increasingly the useful layers for competitive intelligence. peec.aiaiaethon.com

If you tell me roughly your ARR/team size, number of competitors, and how many customer-intent prompts you want tracked, I can narrow this to the 2–3 products I'd actually buy and explain why.

Yes. For a mid-market SaaS team, I’d shortlist these three first:

1. Peec AI — probably where I'd start

Peec explicitly tracks share of voice against named competitors, visibility, position, sentiment, and performance by AI engine. More importantly for your use case, it tracks which URLs/domains AI cites and has a citation-gap analysis showing sources where competitors are cited but you aren't. peec.aipeec.ai

That gives you a useful competitive workflow:

“Competitor X has 28% SOV vs our 14% → they're winning these 12 prompts → AI is citing these 7 third-party domains for them → we need to influence/fix these sources.”

It also supports prompt-level competitor benchmarking rather than giving you just a generic brand score. peec.aipeec.ai

I'd pick Peec if your primary owner is demand gen/content/SEO and you want a dashboard your team can actually operationalize.

2. Otterly AI — strong alternative

Otterly tracks brand mentions and website citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, with competitor comparisons and historical coverage. Its dashboard specifically shows “me + top competitors,” mentions and average position over time. otterly.ai

It's attractive if you want a lighter-weight monitoring product rather than a big enterprise intelligence platform.

3. Profound — for a more sophisticated competitive-intelligence program

Profound is the one I'd investigate if you're planning to make AI visibility a serious cross-functional KPI—particularly if you need deeper citation attribution, answer-engine coverage, and executive reporting. Current comparisons characterize it as the more enterprise-oriented option versus Peec's leaner competitive-SOV focus. generative.qa

One important distinction

Don't evaluate these tools solely on “How often is our brand mentioned?”

For SaaS, I'd want the product to expose at least these five metrics:

1. Share of voice — your mentions vs competitors for the same prompt set.
2. Mention rate — % of answers mentioning each company.
3. Position/rank — whether you're #1 recommendation or buried at #7.
4. Citation share — whose domains/URLs are actually being cited.
5. Citation gaps — sources cited for competitors but not you.

That last one is particularly actionable. A recent benchmark of AI-search tools found that a substantial portion of citations still come from independent publishers and other third-party sources, meaning winning AI visibility isn't simply a matter of getting your own website indexed. foglift.io

My recommendation: start with Peec vs Otterly, and bring Profound into the evaluation if you expect this to become an enterprise-level competitive-intelligence/reporting function.

If you tell me roughly how many competitors, prompts, AI engines, and monthly budget you have in mind, I can narrow this to the best 1–2 and compare their current plans/features.

Yes. For a mid-market SaaS team, I’d shortlist these rather than buying a broad SEO suite blindly:

Recent comparisons consistently put Profound, Peec AI, Otterly, and AthenaHQ in the relevant mid-market/enterprise consideration set. www.ai-visibility-software.com

What I'd evaluate specifically

Don't just ask vendors whether they "track AI visibility." For your use case, I'd require these five things:

1. Competitor share of voice — e.g. Acme 31%, us 18%, Competitor B 12% across the same prompt set.
2. Citation share — which domains/pages are being cited for your category, and how that changes over time.
3. Prompt-level competitive analysis — "best X for mid-market companies" → who appears, position, sentiment, citations, URLs.
4. Citation-gap analysis — Competitor gets cited by G2 on this prompt; we don't. This is much more actionable than a generic visibility score.
5. Trend history — ideally weekly/monthly data so you can tell whether a content/PR/product change actually moved AI visibility.

That distinction matters: mention SOV and citation SOV aren't the same metric. A competitor can be mentioned frequently while another company's pages provide most of the sources grounding the answers.

For example, a 2026 benchmark of 59 AI answers found substantial differences between vendors' name/citation presence—Otterly 58%, Profound 54%, Semrush 49%, Peec 36%—illustrating the kind of competitive dataset these platforms can produce. foglift.io

My shortlist for you

If you're roughly $10M–$100M ARR and have a small marketing/SEO/Growth team:

1. Peec AI — I'd demo this first.
2. Profound — demo alongside it if AI search is becoming a strategic channel.
3. Otterly — use as the lower-complexity/lower-cost comparison.
4. AthenaHQ — add if brand perception/context is as important as raw visibility.

I'd also test each vendor using your own 30–100 highest-value buyer prompts, because the apparent feature differences matter less than whether their answers, citation extraction, competitor identification, and refresh cadence are reliable for your category. Third-party comparisons specifically note meaningful differences in coverage and accuracy between these platforms. www.bushnote.com

If you tell me your ARR/team size, category (e.g. DevOps, HR tech, fintech), and approximate monthly budget, I can narrow this to 2–3 vendors and give you a concrete evaluation scorecard.

Yes. For a mid-market SaaS team specifically focused on competitor share of voice + citation trends inside AI answers, I’d shortlist these:

1. Profound — my pick for your use case

Profound is unusually strong on the exact metrics you're describing. Its competitive benchmarking includes visibility rank, citation share, share of voice, sentiment, and average position, with comparisons by prompt, topic and AI platform. www.tryprofound.com

More importantly, you can drill into which URLs and domains are getting cited, including competitor pages, and track citation share over time. help.tryprofound.com

That makes it useful for questions like:

• "We're at 18% AI SOV; why is Competitor X at 31%?"
• "Which prompts are they winning?"
• "Which third-party sites are repeatedly cited alongside them?"
• "Which competitor URLs are stealing citations from our pages?"
• "Is our citation share increasing month over month?"

Profound also lets you identify unexpected competitors based on who is actually winning AI citations, rather than relying solely on the competitors your marketing team has predefined. www.tryprofound.com

2. Peec AI — probably the easiest mid-market starting point

Peec AI is worth a serious look if you don't need Profound's depth. Its product explicitly tracks visibility, position, sentiment and share of voice against competitors. peec.ai

I'd choose Peec if your primary dashboard is going to be:

Us vs. 3–5 competitors → SOV → mentions → position → trend

rather than a much deeper research/optimization workflow.

A recent category benchmark also found Peec among the leading tools for AI-search visibility, with particularly strong positioning around competitive SOV. foglift.io

3. Similarweb — best if you care about business impact

Similarweb is interesting because it connects AI visibility to the broader measurement stack.

Its AI Brand Visibility product exposes visibility share, total citations, engine breakdown, topic-level visibility and competitor SOV. www.similarweb.com

The differentiator is going beyond "AI mentioned us" toward:

AI visibility → citations → AI traffic → business impact

So if your VP Marketing will eventually ask "Great, but is this generating pipeline?", Similarweb has an attractive story.

4. Otterly — good if you want monitoring without a giant platform

Otterly AI is more lightweight. It's positioned as an AI-search rank tracker and can monitor brand visibility and competitive positioning across major answer engines. otterly.ai

I'd put it behind Profound/Peec for your stated requirement because citation intelligence appears to be less comprehensive than what Profound offers.

What I'd buy for a mid-market SaaS team

If you have a dedicated SEO/GEO person: Peec AI is probably the first evaluation I'd run.

If AI search is becoming a strategic acquisition channel: Profound.

If you're already heavily invested in Similarweb: evaluate Similarweb AI Search Intelligence before adding another vendor.

The important thing is not to buy based on a flashy "AI visibility score." I'd insist that the demo shows these five things using your actual SaaS category:

1. Competitive share of voice over time
2. Citation share over time
3. Prompt-level competitor win/loss
4. Exact URLs/domains receiving citations
5. Breakdown by AI engine and topic

Profound is particularly strong on #2–5: its citation analytics can show citation share as a time-series, top citation domains/pages, and platform/topic comparisons. help.tryprofound.comhelp.tryprofound.com

One useful benchmark for expectations: a July 2026 public study of AI-visibility tools found Otterly, Profound, Semrush, Peec and Ahrefs were the five most frequently named/cited tools in its own buyer-intent AI-answer sample, with Otterly and Profound leading. That's category share of voice for the vendors themselves, not product quality, but it illustrates how competitive this market has become. foglift.io

My shortlist: Profound → Peec → Similarweb, with Otterly as the lighter-weight alternative.

Yes. For a mid-market SaaS team, I’d shortlist Profound, Scrunch, and Peec AI, with Otterly AI as a lighter-weight option. They all go beyond traditional SEO rank tracking into AI-answer visibility, competitor mentions, and citations.

My take

1. Profound — strongest for competitive intelligence

Profound explicitly tracks share of voice, visibility rank, citation share, mention position, sentiment, co-citation and co-mention share. It can compare competitors across ChatGPT, Gemini, Perplexity, Google AI Overviews and other answer engines. www.tryprofound.com

The particularly useful distinction is:

• Visibility/SOV: How often are we mentioned?
• Citation share: How often is our domain used as the source?
• Position: Where do we appear in the answer?
• Co-citation: Which third-party sources tend to appear alongside us?

That makes it a good fit if you're trying to turn AI visibility into a serious competitive KPI rather than just an SEO-style dashboard.

2. Scrunch — probably the best fit for a mid-market SaaS marketing team

Scrunch has a very direct model of Competitive Presence → Citations → Trends. You can compare your brand with competitors, drill into individual prompts and platforms, and see which competitor/third-party pages are influencing answers. scrunch.com

It also distinguishes citation share from citation consistency, which is important: one tells you your portion of the overall citation pool; the other tells you how consistently you're cited across responses. helpcenter.scrunchai.com

I'd lean toward Scrunch if your users are primarily content/SEO/product marketing teams who need to answer "Why are competitors showing up instead of us, and what should we fix?"

3. Peec AI — strong for finding competitive citation gaps

Peec gives you AI visibility, position, sentiment and SOV, but its interesting differentiator is the source/citation gap analysis: it identifies URLs/domains where competitors are being cited but you aren't and ranks those opportunities. peec.ai

That's particularly useful for SaaS because you can translate the data into actions such as:

"Competitor X is being cited by these 12 review sites and 8 comparison pages for our highest-value prompts; we're absent from 9 of them."

What I'd measure regardless of vendor

For your use case, I wouldn't buy based on "AI visibility score" alone. I'd want the platform to expose this stack:

AI Share of Voice
→ % of relevant answers mentioning you vs. competitors

Citation Share
→ % of citations going to your domain vs. competitor domains

Mention Position
→ Are you the first recommendation, fifth recommendation, or merely mentioned?

Prompt-level SOV
→ Which commercial questions are competitors winning?

Citation trends
→ Which competitor domains/pages are gaining or losing citation frequency?

Platform breakdown
→ ChatGPT vs. Gemini vs. Perplexity vs. Google AI Overviews

Competitive gap detection
→ Prompts where a competitor appears and you don't

Third-party influence
→ Which review sites, publishers, Reddit threads, directories, etc. are feeding the models?

Historical trend
→ Ideally weekly/monthly SOV and citation-share movement, not just today's snapshot.

For a mid-market SaaS team, my starting order would be Scrunch vs. Profound. If your priority is competitive intelligence and executive reporting, I'd favor Profound; if it's monitoring + finding concrete content/citation opportunities for the marketing team, I'd favor Scrunch. Peec is the one I'd evaluate closely if source-gap analysis is central to your workflow.

Yes. For a mid-market SaaS team, I’d shortlist these four:

1. Profound — my first choice

Profound is particularly strong if your goal is "Are we gaining or losing ground to competitors, and why?"

It tracks share of voice, citation share, competitor rankings, position, sentiment, topics and prompts, with breakdowns by platform and region. Its citation tooling goes down to specific cited URLs/pages, including competitor citations, and lets you trend citation share over time. help.tryprofound.com

It also queries the consumer-facing versions of major AI platforms rather than relying solely on APIs, including ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, Copilot and others. www.tryprofound.com

I'd pick it if: you have a dedicated SEO/GEO or content team and want a fairly sophisticated competitive dashboard.

2. Peec AI — probably the best mid-market balance

Peec explicitly measures AI Share of Voice against competitors, visibility, position and sentiment. It can also show which third-party domains and URLs AI engines cite and identify citation gaps where competitors are cited but you aren't. peec.aipeec.ai

A nice feature for SaaS is its prompt/intent organization: you can distinguish branded, unbranded and commercial queries, which makes it easier to build a dashboard around actual buyer journeys rather than arbitrary keywords. peec.ai

I'd pick it if: you want meaningful competitive intelligence without buying an especially heavyweight enterprise platform.

3. OtterlyAI — easiest starting point

Otterly gives you Share of Voice, competitor rankings, brand coverage over time, citations and citation gaps. Its competitor report explicitly shows your share versus competitors and trends coverage day by day. help.otterly.aiotterly.ai

It also supports a broad set of engines including ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude. help.otterly.aiotterly.ai

I'd pick it if: marketing owns this project and you want something straightforward to deploy and report from.

4. Similarweb — worth considering if you're already a customer

Similarweb's AI Search Intelligence is interesting for SaaS because it can connect AI visibility metrics with broader search/traffic/revenue intelligence, rather than treating AI visibility as an isolated SEO metric. A recent 2026 comparison specifically identifies it as a strong option for B2B SaaS benchmarking. www.prismnews.com

I'd pick it if: your team already lives in Similarweb and wants AI visibility integrated into the existing market-intelligence stack.

What I'd actually track

Don't make raw mentions your primary KPI. I'd build a dashboard around:

1. AI Share of Voice — your % of category mentions vs. competitors.
2. Visibility — % of relevant prompts where you're mentioned at all.
3. Citation Share — % of citations going to your domains vs. competitors.
4. Citation Gap — domains/pages that cite competitors but never cite you.
5. Position — where you're appearing in recommendations/rankings.
6. Prompt-level wins/losses — queries where a competitor appears and you don't.
7. SoV by AI engine — ChatGPT vs. Perplexity vs. Gemini vs. Google AI.
8. SoV over time — weekly/monthly trend, rather than obsessing over individual answer fluctuations.

The distinction between visibility and SoV is important: you can appear in 70% of answers but still have low SoV if competitors are mentioned more frequently in those answers. peec.aipeec.ai

My recommendation

For a typical mid-market SaaS company, I'd demo Profound and Peec AI side-by-side, with Otterly as the lower-complexity alternative.

Profound wins if competitive/citation intelligence is the centerpiece.
Peec wins if you want a more focused marketing-team workflow.
Otterly wins if you mainly need reliable monitoring and reporting without a lot of complexity.

If you tell me roughly how many competitors, prompts, and AI engines you want to track, I can narrow this to a specific recommendation and compare the likely pricing/plan fit.

For a mid-market SaaS team, you’re looking for AI visibility / AEO / GEO monitoring tools rather than traditional SEO rank trackers. The useful capabilities are:

• Competitor share of voice (SOV) across AI answers
• Citation tracking (which URLs/sources AI engines cite)
• Prompt-level comparisons (“best X software,” “alternatives to Y,” “tools for Z use case”)
• Trend lines showing whether competitors are gaining or losing visibility
• Model coverage (ChatGPT, Gemini, Perplexity, Claude, AI Overviews, etc.)

A shortlist worth evaluating:

How I’d evaluate for a mid-market SaaS company

I’d prioritize:

1. Prompt coverage over raw mention counts
   • Can you define your actual buying journeys?
   • Example prompts:
     • “Best CRM for 50-person SaaS teams”
     • “Alternatives to [competitor]”
     • “Tools for reducing onboarding churn”

2. Competitor citation gap reporting
   • The key question is not just “are we mentioned?”
   • It’s:
     • Which competitors appear when we don’t?
     • Which pages are getting them cited?
     • Which topics are they winning?

3. Historical trends
   • Look for weekly/monthly:
     • AI answer share %
     • citation count
     • average mention position
     • sentiment
     • winning prompts

4. Exportability
   • Marketing teams usually need this in:
     • Looker/Tableau dashboards
     • executive reports
     • content planning workflows

Likely shortlist by team type

• 5–20 person marketing/growth team: Peec AI, CiteWatch, Airtrace, HubSpot AEO
• Competitive intelligence / enterprise marketing: Profound, DemandSphere
• Data-heavy SaaS with analytics resources: CitationBench or API-oriented tools
• SEO + AI visibility team: DemandSphere or similar hybrid platforms

For a mid-market SaaS team, I’d generally start with a 2–4 week bakeoff using 50–200 high-intent prompts, 5–10 competitors, and compare:

• competitor SOV,
• citation sources,
• prompt gaps,
• recommended content actions.

That will usually reveal more than comparing dashboards or feature lists. www.demandsphere.comwww.ai-visibility-software.com

Yes. For a mid-market SaaS team, I’d shortlist these rather than buying a generic SEO suite:

Recent comparisons consistently put Peec, Profound, Otterly and Scrunch in the core AI-visibility monitoring set, with Peec positioned particularly well for mid-market teams. omidsaffari.comwww.stork.ai

What I'd prioritize for your use case

Don't just look for "AI visibility." You want these four capabilities:

1. Competitive share of voice — e.g. Acme 31%, Competitor A 27%, Competitor B 18% across your tracked buyer prompts.
2. Citation share/trends — which domains/pages AI engines are citing for you vs. competitors, and how that changes month over month.
3. Prompt-level competitive gaps — "best enterprise project-management software" → competitors appear, you don't.
4. Engine segmentation — ChatGPT vs. Perplexity vs. Gemini vs. Google AI Overviews, because aggregate SOV can hide big differences.

That's important because the underlying metric isn't simply "was our brand mentioned?" The more useful analysis is which competitor gets recommended/cited, on which buyer questions, and which sources caused that advantage. www.ai-visibility-software.com

My recommendation

Start with Peec AI if you're a typical mid-market SaaS marketing/Growth team. Current comparisons put it around the ~$95–$495/month range and specifically position it for in-house/mid-market teams. omidsaffari.comwww.stork.ai

Go Profound if competitive intelligence is becoming a serious cross-functional program involving Brand, Content, PR and executives, and you need substantially deeper reporting/scale. omidsaffari.comwww.stork.ai

Go Otterly if you mainly want to establish a baseline cheaply and monitor a relatively small prompt set. omidsaffari.comwww.stork.ai

One useful sanity check: a recent benchmark across 13 buyer-intent questions and five AI engines found very different SOV among vendors—e.g. Otterly 58%, Profound 54%, Semrush 49%, and Peec 36%—which illustrates why the prompt set and methodology matter as much as the dashboard. foglift.io

If you tell me roughly your ARR/team size, number of competitors, and ~number of buyer prompts you want to track, I can narrow this to the 2–3 platforms I'd actually demo and give you a feature/pricing scorecard.

Yes. For a mid-market SaaS team, I’d shortlist these rather than buying a generic SEO platform and hoping its AI features are enough:

My recommendation

1. Ahrefs Brand Radar — strongest default choice.
It measures mentions, citations, impressions and AI Share of Voice, lets you benchmark competitors, track trends, and drill into the actual AI responses/cited URLs. It also uses a very large library of search-backed prompts rather than relying exclusively on a small hand-built prompt set. help.ahrefs.comahrefs.comwww.hubspot.com

For SaaS competitive research, the particularly useful workflow is:

Competitor wins → exact prompt → cited source/page → why that source is winning → content/PR opportunity

Ahrefs explicitly supports finding cases where competitors are cited but your domain isn't. ahrefs.com

2. Peec AI — worth comparing directly against Ahrefs.
I'd put it on the shortlist if your primary job is AI-search monitoring rather than broader SEO. The important thing to test is whether its prompt-level competitive analysis gives your team enough detail to turn a SOV decline into an actionable content/source gap.

3. Otterly — good if you want a lightweight monitoring layer.
I'd consider this when you don't need Ahrefs' enormous underlying search/SEO dataset and mostly want recurring visibility, competitor and citation reporting.

4. HubSpot AEO — compelling for a HubSpot-centric marketing org.
Its competitor analysis explicitly reports share of voice, identifies competitors being cited instead of you, and provides citation analysis plus recommendations. www.hubspot.com

One important buying criterion

Don't evaluate these tools primarily on their SOV dashboard. Almost all of the serious platforms now have some version of it.

The differentiator I'd test in a trial is:

“Show me the 20 prompts where Competitor X is cited and we're not, the URLs being cited, and the trend over the last 8–12 weeks.”

That's much more valuable than simply learning that “Competitor X has 23% AI SOV and we have 17%.”

Also, treat SOV as a trend/measurement estimate, not an absolute market-share number. AI answers are probabilistic and can vary across repeated runs, so repeated sampling over time is substantially more meaningful than a single snapshot. arxiv.org

If I were running a mid-market SaaS evaluation, I'd trial Ahrefs + Peec + Otterly on the exact same ~50–100 commercial prompts and score them on: SOV accuracy/consistency, competitor citation gaps, source-level analysis, engine coverage, historical trends, exports/API, and cost per tracked prompt.

If you tell me roughly how many competitors, prompts, and AI engines you want to monitor, I can narrow this to the best 2–3 and compare their current pricing/limits.

Yes. For a mid-market SaaS team specifically focused on competitive presence in AI answers, I’d shortlist these:

1. Scrunch — my first choice

Scrunch is particularly well aligned with your use case. It measures competitive presence across tracked AI prompts, lets you compare competitors over time, and has a dedicated citations view showing citation share by owner and the domains/pages being cited. You can drill down by prompt, topic, AI platform, persona, geography, etc. scrunch.com

The useful distinction is that it doesn't just tell you "Competitor X has 28% SOV." You can investigate which prompts they're winning, which URLs are getting cited, and where you're absent.

I'd pick this if competitive intelligence is the primary requirement.

2. Peec AI — probably the best mid-market alternative

Peec explicitly reports visibility, position, sentiment and share of voice, lets you add competitors, and identifies the third-party sources AI systems cite in your category. peec.ai

Its prompt-level approach is especially useful for SaaS: you can build a library around commercial questions such as "best X for mid-market companies," "X alternatives," "X vs Y," etc., then see where competitors are appearing.

I'd pick this if you want a relatively straightforward marketing/Growth workflow rather than a heavyweight enterprise intelligence platform.

3. OtterlyAI — leaner option

Otterly tracks competitor share of voice, brand coverage over time, rankings and citation/domain performance. Its competitor report can show where competitors are gaining coverage and which domains are being cited more heavily. help.otterly.ai

It's worth considering if you don't need the depth of Scrunch and want something your content/SEO team can get running quickly.

4. Ahrefs Brand Radar — interesting if you're already an Ahrefs customer

Brand Radar is compelling because it builds AI visibility queries from real keyword/search data, rather than relying exclusively on manually invented prompts. Recent testing also highlights its ability to show AI visibility across multiple engines and the URLs being cited. www.techradar.com

That's attractive for SaaS because you can connect your traditional search universe to your AI-answer universe.

What I'd actually measure

Don't make "AI SOV" the only KPI. For a SaaS competitive program, I'd create a dashboard around:

1. Mention share — % of tracked answers mentioning you vs. competitors
2. Recommendation share — % where you're actually recommended, not merely mentioned
3. Citation share — % of citations going to your domains vs. competitors
4. Citation velocity — how your citations change week-over-week/month-over-month
5. First-position / prominence — whether you're the first or primary recommendation
6. Prompt win rate — % of commercially important prompts where you beat each competitor
7. Competitor-gap prompts — questions where competitors appear and you don't
8. Source overlap — sites/pages that repeatedly influence both your competitors and the AI answers
9. Engine-specific SOV — ChatGPT vs. Google AI Overviews vs. Perplexity, etc.
10. Category/topic SOV — e.g. integrations, alternatives, pricing, enterprise, security, implementation

One important caveat: AI SOV isn't as deterministic as traditional Google rankings. Identical prompts can produce different answers and citations, so you want a tool that aggregates repeated observations rather than treating a single answer as ground truth. Recent research specifically finds substantial variability in citation distributions across repeated AI-search queries. arxiv.org

My shortlist for your situation: Scrunch → Peec → Otterly, with Ahrefs Brand Radar moving up the list if your team already has a substantial SEO/Ahrefs operation.

If you tell me roughly your ARR/team size and whether you're more interested in marketing reporting or competitive intelligence, I can narrow this to the best 1–2 and compare pricing, AI engines, API access, historical data, SOV methodology, and citation-level reporting.

Yes. For a mid-market SaaS team specifically looking to track competitor share of voice + citation trends inside AI answers, I’d shortlist these:

Current comparisons consistently put Profound, Peec, Otterly and Scrunch among the leading dedicated AI-visibility platforms. www.prismnews.compressfit.aiwww.shadow.inc

What I'd pick for your use case

1. Start with Peec AI if you're a typical mid-market SaaS marketing/SEO team. It gives you the core loop you actually want: which prompts produce visibility → which competitors appear → which sources get cited → how that changes over time. Recent comparisons specifically position Peec as a good fit for smaller/mid-market teams. www.workduo.ai

2. Trial Profound alongside it if competitive intelligence is strategically important. It's the stronger choice if you want deeper benchmarking and large-scale citation analytics rather than simply a monitoring dashboard. www.prismnews.compressfit.aiwww.shadow.inc

3. Choose Otterly if you want something lighter-weight and operational: recurring monitoring, competitor comparison, alerts and historical visibility. www.prismnews.compressfit.aiwww.shadow.inc

4. Consider Ahrefs Brand Radar if your team already lives in Ahrefs. Its differentiator is that it builds its AI visibility analysis from a very large real-world search-query database rather than relying entirely on hand-created prompts. www.techradar.com

One thing I'd insist on in the demo

Don't just ask “Can you show me our share of voice?”

Ask them to demonstrate this exact workflow:

Competitor X gained 8 points of AI SOV this month → show me the specific prompts → show me the answers → show me which URLs/domains are being cited for X but not us → show me the trend for those citations over 30/90 days.

That's much more valuable than an aggregate “AI visibility score.” Community experience also suggests the prompt-level answer + citation view is where these platforms become actionable rather than just reporting dashboards. www.reddit.comwww.reddit.com

Also, treat SOV as a directional trend, not a precise market-share number: AI answers are nondeterministic, and the tracked prompt set materially affects the result. www.reddit.comwww.reddit.com

My shortlist for a mid-market SaaS evaluation: Peec + Profound + Otterly, with Ahrefs Brand Radar added if you're already an Ahrefs customer.

Yes. For a mid-market SaaS team, I’d shortlist these rather than buying a broad SEO suite first:

What I'd pick for your use case

Start with Scrunch or Peec.

The key isn't merely "does it mention our brand?" You want to answer:

1. What % of relevant AI answers mention us vs. Competitor A/B/C?
2. Is our share of voice rising or falling week over week?
3. Which buyer prompts are competitors winning that we're losing?
4. Which domains/pages are getting cited for those answers?
5. Are competitors getting cited instead of us, and by which AI engines?
6. Which topics/category-entry points have the largest visibility gaps?

Scrunch is particularly aligned with that workflow: its competitive-presence view compares brands across AI platforms, while its citations view can show citation share by owner and the domains being cited, with historical trends. scrunch.com

I'd put Profound on the shortlist if you're expecting a fairly sophisticated SEO/GEO program, lots of prompts/markets, or executive-level competitive reporting. Otherwise, it may be overkill.

One important caveat: don't treat SOV as an absolute market-share number. AI responses vary by model, prompt wording, location and time. The useful signal is a consistently constructed prompt set and the trend over time, not whether today's dashboard says 17.3% vs. 18.1%. www.techradar.com

If you tell me roughly your monthly budget ($100s vs. $1k+), number of competitors, and which AI engines matter (ChatGPT/Gemini/Perplexity/Google AI Overviews/etc.), I can narrow this to the best 2–3 and compare pricing, engine coverage, SOV methodology, citation analytics, and API/reporting.

For a mid-market SaaS team, you’re looking for AI visibility / AEO (answer engine optimization) platforms rather than traditional SEO rank trackers. The capabilities to prioritize are:

• Competitor share of voice: % of AI answers where you appear vs. named competitors
• Citation share: which domains/pages AI systems cite for your category, and who owns those citations
• Prompt tracking: the buyer questions that trigger competitor mentions
• Trend reporting: visibility changes over weeks/months by model, topic, and competitor

A shortlist:

My practical shortlist for a mid-market SaaS team:

1. Peec AI — probably the easiest starting point if your main question is: “Are we showing up in ChatGPT/Perplexity answers more or less than Gong, HubSpot, Salesforce, etc.?” It explicitly tracks AI visibility, share of voice, competitors, prompts, and cited sources. peec.ai

2. Profound — better if you need a more mature competitive intelligence workflow: lots of tracked prompts, executive reporting, citation analysis, and cross-platform monitoring. help.tryprofound.comwww.tryprofound.com

For SaaS, I’d set up tracking around:

• Category prompts: “best customer success platform,” “best CRM for startups”
• Comparison prompts: “X vs Y,” “alternatives to [competitor]”
• Problem prompts: “how to reduce churn,” “how to improve onboarding”
• Buying-intent prompts: “tools for [use case]”

Then measure:

• % of prompts where you appear
• average position in AI answers
• competitor mention share
• citation domains you’re missing but competitors have

If you tell me your approximate scale (e.g., 20–50 tracked prompts vs 500+) and whether you care more about marketing visibility or pipeline attribution, I can narrow this to 1–2 choices.

Yes. For a mid-market SaaS team, I’d shortlist these rather than buying a heavyweight enterprise platform immediately:

A few newer products are explicitly built around the metrics you're asking about. DeepSmith, for example, says it tracks mention rate, citation rate, and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Mode, with daily refreshes and competitor comparisons. deepsmith.ai Citations.io goes even more directly at citation share: it records which answers cite you, which competitors get cited instead, and the underlying sources. citations.io

What I'd actually measure

For SaaS, I wouldn't use a single "AI visibility score." Build your dashboard around:

• AI Share of Voice — % of relevant answers in which you're mentioned vs. competitors
• Citation Share — % of citations going to your domain/content vs. competitors
• Mention position — #1/#2/#3 recommendation position
• Citation sources — which publications, review sites, Reddit threads, etc. are feeding the answers
• Prompt-level SOV — e.g. "best X for mid-market," "X alternatives," "X vs Y"
• Engine-level trends — ChatGPT vs. Perplexity vs. Gemini/Google
• Competitive displacement — prompts where a competitor appears but you don't
• Sentiment/attributes — why the model recommends them ("easier," "enterprise-grade," "cheaper," etc.)

This distinction matters because citation counts alone can be misleading: research on generative-search citations finds that platforms differ substantially in both citation breadth and how much influence a cited page has on the final answer. arxiv.org

My recommendation

For a mid-market SaaS marketing/Growth team, I'd run a short bake-off between Peec AI, Otterly.AI, DeepSmith and Profound. Give each the same ~50–100 buyer-intent prompts covering:

1. Category discovery
2. "Best X" queries
3. Alternatives
4. Competitor comparisons
5. Use-case queries
6. Pricing/value queries
7. Industry-specific queries

Then compare the tools on whether they give you the raw answer + cited URLs, not just a proprietary score. A useful SOV methodology is essentially to calculate your mentions against the total competitor mentions across a controlled prompt set and rerun it consistently over time. www.sona.com

If you tell me your approximate budget (e.g. <$500/mo, $500–2k, $2k+) and which AI surfaces matter most, I can narrow this to the 3 best fits and compare pricing, prompt limits, integrations, and reporting.

Yes. A new category of software has emerged specifically for AI visibility / Answer Engine Optimization (AEO) / Generative Engine Optimization (GEO). These platforms track questions across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and similar systems to measure:

• Competitive share of voice (how often your brand appears vs. competitors)
• Citation trends (which domains and pages AI cites)
• Recommendation frequency and rank
• Sentiment and positioning ("best", "alternative to", "enterprise", etc.)
• Changes over time after content or PR campaigns www.conductor.com

For a mid-market SaaS company, I'd group the options like this:

What I'd evaluate

For SaaS, the differentiators are usually:

• Coverage of ChatGPT, Google AI Overviews, Gemini, Claude, and Perplexity
• Ability to upload your own prompt set (rather than generic keywords)
• Competitor benchmarking against 5–10 named competitors
• Historical trend reporting
• Visibility by buying stage (awareness vs. comparison vs. purchase prompts)
• Exact citations (URLs/domains) used in answers
• API or warehouse export for BI

The strongest products also let you answer questions like:

• "We're mentioned in 42% of enterprise CRM prompts."
• "Competitor A overtook us this month."
• "Reddit citations increased while our docs citations declined."
• "These 15 prompts flipped after we published comparison pages."

Metrics worth putting on an executive dashboard

Instead of just "AI visibility," I'd recommend tracking:

1. AI Share of Voice (%)
2. Recommendation rate (how often you're recommended)
3. Citation share
4. Top cited domains (your site, documentation, G2, Reddit, analyst sites, partners)
5. Competitor comparison
6. Visibility by engine (ChatGPT vs. Gemini vs. Perplexity vs. Google AI)
7. Visibility by topic (security, integrations, pricing, enterprise, SMB, etc.)

Recommendation for a 100–1,000 employee SaaS company

• If your primary stakeholders are SEO and content, Conductor or Semrush are good fits because they integrate with traditional search reporting as well. www.techradar.comwww.conductor.com
• If AI visibility is becoming a board-level KPI, I'd shortlist Profound, Scrunch, and Peec AI, since they're built around competitive monitoring inside AI answers rather than adding AI metrics onto an SEO platform. scrunch.com

If your team already has a mature data stack (Snowflake, BigQuery, dbt), it's also common to supplement one of these tools with an internal prompt-monitoring pipeline to track a custom set of high-value buyer questions and validate results independently.

For a mid-market B2B SaaS company, there are now several platforms that specifically measure AI visibility rather than traditional SEO. The capabilities you're looking for are typically:

• Share of voice (SOV) across AI answers
• Competitor mentions
• Citation tracking (which URLs/models cite whom)
• Prompt-level reporting
• Trend analysis over time
• Coverage across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.

Here's how I'd break down the market.

1. Profound

Probably the most mature platform if AI visibility is becoming a strategic KPI.

Strengths:

• Tracks AI share of voice
• Competitor benchmarking
• Citation share
• Daily trend monitoring
• Shows which pages and domains AI engines cite
• Prompt-level analysis
• Regional and platform segmentation

It supports visibility across ChatGPT, Gemini, Claude, Google AI Overviews, Copilot, Perplexity and other major answer engines. It also breaks down citation share and competitor rankings over time. www.tryprofound.com

Best if:

• You have a dedicated SEO/content team
• Executive reporting matters
• Budget is less constrained

2. Peec AI

One of the strongest options for mid-market SaaS.

Features include:

• AI Share of Voice
• Named competitor tracking
• Citation/domain analysis
• Gap analysis
• Prompt suggestions
• Background ("fanout") search visibility
• Source classification

Their competitor benchmarking is particularly useful because it lets you compare your brand against specific competitors on the same tracked prompts. peec.ai

Best if:

• You want actionable insights without enterprise pricing
• Your content and product marketing teams own AI visibility

3. AthenaHQ

AthenaHQ is commonly positioned between enterprise and SMB offerings, emphasizing competitor monitoring, reporting, and collaboration. Community discussions often group it alongside Profound for competitive intelligence use cases. www.reddit.com

4. Otterly AI

Good entry-level option.

Generally offers:

• AI mention monitoring
• Daily visibility reports
• Basic competitor tracking
• Less sophisticated citation analytics

A good fit if your team mainly wants dashboards rather than deep competitive analysis. www.reddit.com

5. Goodie

A newer entrant focused on monitoring AI visibility and competitive presence. Compared with Profound or Peec AI, it tends to be lighter on citation analytics but can still help monitor mentions and share of voice. Market capabilities continue to evolve quickly. www.reddit.com

Metrics I'd recommend tracking

For a SaaS company, I'd build a weekly dashboard around:

• AI Share of Voice (% of prompts mentioning your brand)
• Competitor Share of Voice
• Citation Share (how often your URLs are cited)
• Top cited domains (who AI trusts in your category)
• Top prompts won/lost
• Recommendation rate ("best CRM", "best HRIS", etc.)
• Model breakdown (ChatGPT vs Gemini vs Perplexity)
• Trend over time

These metrics have become common proxies for measuring AI visibility, though practitioners generally recommend looking at trends over time rather than treating a single run as definitive because AI responses can vary between sessions. www.reddit.com

Recommendation for a mid-market SaaS team

If you're around 100–1,000 employees with a product marketing and SEO function:

• Best overall: Profound
• Best value: Peec AI
• Budget-conscious: Otterly AI
• Enterprise competitive intelligence: AthenaHQ

If your primary goal is tracking competitor share of voice and citation trends, I'd prioritize evaluating Profound and Peec AI first—they currently offer the most comprehensive support for those specific workflows.

If your goal is specifically competitive visibility inside AI-generated answers (not traditional SEO rankings), there are now several platforms built around metrics such as:

• AI share of voice (how often your brand appears versus competitors)
• Citation share (which domains AI cites)
• Competitor mentions
• Prompt-level rankings
• Trend reporting over time
• Coverage across ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, and others

For a mid-market B2B SaaS company, I'd group the options like this:

1. Profound

Probably the market leader for AI visibility.

Strengths:

• Tracks share of voice across prompts
• Competitor comparisons
• Citation source analysis
• Brand sentiment
• Executive dashboards
• Large prompt libraries

Best for companies with dedicated SEO/Growth teams and significant budgets.

2. AthenaHQ

Strong competitive intelligence platform.

Useful metrics include:

• Which competitors appear for each buyer prompt
• Mention frequency
• AI answer changes over time
• Citation sources
• Engine-by-engine comparisons

Popular with larger SaaS and B2B companies focused on GEO (Generative Engine Optimization). www.reddit.com

3. Peec AI

One of the better fits for mid-market SaaS.

Features include:

• AI share of voice
• Competitor monitoring
• Citation tracking
• Prompt management
• Weekly/monthly trend reporting

Usually easier to adopt than enterprise-focused platforms.

4. Otterly.AI

A lighter-weight monitoring tool.

Tracks:

• Brand mentions
• Competitor mentions
• AI citations
• Visibility trends
• Multiple AI engines

Good if you want reporting without a long implementation.

5. Semrush AI Visibility Toolkit

If you're already invested in Semrush, this is an attractive option.

Advantages:

• Combines traditional SEO with AI visibility
• Competitive benchmarking
• Citation monitoring
• Existing keyword data

Less AI-native than some specialists but integrates well with existing SEO workflows. www.techradar.com

What you should be measuring

For a SaaS category, I would monitor roughly 100–300 prompts spanning the buyer journey, then report:

• AI Share of Voice (% of answers mentioning your brand)
• Competitor Share of Voice
• Citation Share (which domains are cited)
• First Mention Rate (are you listed first?)
• Recommendation Rate ("Best CRM for startups")
• Comparison Performance ("Vendor A vs Vendor B")
• Engine breakdown (ChatGPT vs Gemini vs Perplexity vs Google AI Overviews)
• Weekly and monthly trend lines

These metrics are increasingly viewed as the AI-era equivalent of traditional search visibility because AI answers synthesize recommendations rather than presenting ranked links. any-eo.com

My recommendation for a mid-market SaaS team

If I were choosing today:

• $500–2,000/month budget: Peec AI or Otterly.AI
• Already paying for Semrush: Add the AI Visibility Toolkit
• $3k+/month with competitive marketing priorities: Profound or AthenaHQ

Those give you the combination you're after: competitor share of voice, citation trends over time, prompt-level tracking, and cross-engine reporting, which are the core capabilities most SaaS marketing teams are looking for in AI visibility platforms.

For a mid-market B2B SaaS team, you're looking for a category that's often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO). The strongest platforms don't just check whether you're mentioned—they measure:

• Share of voice vs. competitors
• Citation frequency and cited domains
• Prompt-level performance
• Trends over time
• Differences across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.

Here's how the current landscape breaks down:

For your specific use case—tracking competitor share of voice and citation trends—I'd prioritize:

1. Profound if you have an enterprise-level budget and want the deepest analytics.
2. Peec AI if you're a typical mid-market SaaS (roughly 50–500 employees) looking for a strong balance of capability and cost.
3. Scrunch if prompt-level competitive analysis and citation tracking are your highest priorities.

The features I'd insist on evaluating during a trial are:

• Prompt-level share of voice (not just an overall score)
• Competitor mention frequency
• Citation ownership (your domain vs. competitors vs. third parties)
• Top cited domains and pages
• Historical trends by week/month
• Filtering by country, persona, or funnel stage
• Coverage across multiple AI engines rather than just one help.tryprofound.com

One practical note: AI answers are inherently variable. Rather than treating a single "share of voice" percentage as precise, it's more reliable to monitor trends over a consistent set of prompts over weeks or months. That's a common recommendation from practitioners using these tools. www.reddit.com

If you're already using an enterprise SEO platform like Semrush, Ahrefs, or BrightEdge, it's also worth checking whether their newer AI visibility features are sufficient before buying a dedicated platform. However, dedicated AI visibility products generally offer much deeper prompt-level and citation-level competitive analysis. www.citeflow.io

For a mid-market SaaS company, you're looking for a platform that answers questions like:

• "How often does ChatGPT recommend us vs. Competitor A?"
• "Which prompts are we winning or losing?"
• "Which websites are AI citing?"
• "Is our share of voice improving over time?"

The category is typically called AI Visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO).

Here's how the main options compare:

1. Profound (most comprehensive)

Profound has become one of the strongest platforms if competitive intelligence is the priority. It measures:

• AI share of voice
• competitor mentions
• citation share
• sentiment
• prompt-level performance
• visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Copilot, and others

Its citation analysis also shows which third-party sources AI is relying on and compares your citation share against competitors. www.tryprofound.com

Best for:

• B2B SaaS
• product marketing
• competitive intelligence
• enterprise SEO

2. Peec AI (excellent value for mid-market)

Peec is aimed squarely at teams that don't need enterprise complexity.

It tracks:

• share of voice
• prompt rankings
• competitor visibility
• sentiment
• citation sources
• AI model comparisons

One feature many SaaS teams like is seeing which prompts competitors appear for that you don't, along with the domains AI cites. peec.ai

3. Semrush

If you're already using Semrush, its AI visibility capabilities are attractive because they're integrated with keyword research and traditional SEO.

Strengths:

• combines SEO + AI visibility
• competitor monitoring
• reporting for marketing teams

It's less specialized than Profound or Peec but can reduce tool sprawl. www.techradar.compeec.ai

Metrics I'd expect from any vendor

For competitive AI visibility, I'd want dashboards showing:

• AI Share of Voice (% of tracked prompts mentioning each competitor)
• Prompt-level wins/losses
• Citation share (which domains AI cites)
• Model-specific performance (ChatGPT vs Gemini vs Claude vs Perplexity)
• Historical trends
• Competitor comparison
• Sentiment/positioning
• Topic or category clustering

These have emerged as the core KPIs across the category. help.tryprofound.com

Recommendation for a mid-market SaaS team

• If budget is $500–2,000/month, I'd evaluate Peec AI first.
• If budget is enterprise ($2k+/month) and competitive intelligence is strategic, Profound is likely the strongest option.
• If your team already relies heavily on Semrush and wants AI visibility inside an existing SEO workflow, adding Semrush's AI visibility features may provide the best operational fit. peec.ai

One thing to keep in mind regardless of platform: these tools estimate visibility by running and monitoring a curated set of prompts. The quality of your prompt library (brand, competitor, comparison, category, and buying-intent prompts) has a major impact on how meaningful the reported share-of-voice and citation trends will be. www.reddit.com