ChatGPT answers, unedited

Yes. For a mid-market SaaS team, I’d shortlist these platforms specifically for competitive AI visibility / share of voice + citation tracking:

My shortlist

• ahrefs.com — probably the most straightforward match to your requirements. It reports AI Share of Voice, mentions, citations, and estimated impressions, lets you benchmark competitors, and supports custom prompts. Ahrefs says Brand Radar analyzes 455M+ search-backed prompts across AI surfaces including ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews/AI Mode. Ahrefs Ahrefs Help Center
• Profound — worth looking at if you want a more dedicated AI-search intelligence platform and particularly deep citation/prompt analysis. Current 2026 comparisons put it toward the enterprise end of the category. TechnologyAdvice Benchline Reports
• Peec AI — a good candidate if the primary workflow is “show me where competitors appear, where we're absent, and how that changes over time.” It is frequently positioned around competitive AI visibility and SOV monitoring. TechnologyAdvice Benchline Reports
• Otterly.AI — more lightweight and economical, while still focused on tracking mentions/citations and competitor visibility across AI engines. TechnologyAdvice
• Semrush AI Visibility Toolkit — particularly sensible if your team already lives in Semrush and wants AI visibility added to an existing SEO workflow. CBOOMARANK SaaSworthy

What I'd actually measure

For SaaS, I wouldn't stop at a single "AI visibility score." I'd want the platform to expose:

1. Share of voice — % of relevant AI answers where you vs. each competitor appear.
2. Mention rate — how frequently each brand is named.
3. Citation rate — how frequently each brand/domain is actually linked as a source.
4. Citation share by domain/page — which third-party sites are feeding competitors' AI visibility.
5. Competitive gaps — prompts where competitors appear but you don't.
6. Trend by prompt/topic — whether your visibility is increasing or declining over weeks/months.
7. Engine-level breakdown — ChatGPT vs. Gemini vs. Perplexity vs. Google AI surfaces, rather than one blended number.
8. Custom buyer prompts — your actual high-intent questions such as “best [category] for mid-market SaaS,” “alternatives to X,” and “[competitor] vs [your product].”

Ahrefs, for example, explicitly supports the “competitor mentioned, us absent” analysis and citation-gap analysis, which is particularly useful for turning SOV data into a content/PR backlog. Ahrefs Ahrefs

If I were evaluating vendors for a mid-market SaaS team, I'd start with Ahrefs Brand Radar, Profound, and Peec AI, then compare them using your actual 50–200 buyer prompts rather than relying on generic feature matrices. The biggest thing to validate is whether their SOV is based on a prompt universe that actually resembles your buyers; these measurements are samples/models of AI visibility, not a census of every AI conversation. Ahrefs Ahrefs

If you tell me your approximate budget and which AI surfaces matter most (ChatGPT, Google AI Overviews/Mode, Perplexity, Gemini, etc.), I can make a more concrete 3-vendor comparison with pricing, coverage, API/reporting, and what I'd test in a trial.

Yes. For a mid-market SaaS team specifically interested in competitor share of voice + citation trends inside AI answers, the current category is fairly concentrated.

The core metrics you want are now fairly standard: share of voice, mention rate, position/order in answers, citation rate, cited URLs/domains, sentiment, and changes over time. DataDab Aethon AI

The two I'd put through a SaaS evaluation

Peec AI — particularly interesting if your main question is "How are we doing against competitors across the same buyer prompts?" Its monitoring emphasizes prompt-level competitor comparisons, citations, sentiment, and historical visibility. A recent mid-market comparison also specifically found its competitor benchmarking particularly detailed. AI Search Tools

OtterlyAI — a good choice if you want something comparatively straightforward to operationalize. Its current analytics product says it tracks mentions, citations, sentiment and share of voice across seven AI engines, with competitor scoring and daily tracking. It also stores the underlying answers and cited URLs. Otterly

Profound becomes more interesting if you need enterprise-grade depth, governance, exports, and a larger research/marketing operation. Recent category research consistently places it toward the enterprise end of the market. AISEOShift Bloomiro

What I'd make a vendor prove in a demo

Don't just ask whether they have "AI visibility." Give them 50–100 of your actual buyer prompts and ask them to demonstrate:

• Competitor SOV: your brand vs. Competitor A/B/C across identical prompts.
• Citation share: what percentage of answers cite your domain vs. competitors' domains.
• Citation trend: whether your citation rate is rising/falling week over week.
• Prompt-level gaps: prompts where a competitor is cited and you aren't.
• Model-level differences: ChatGPT vs. Perplexity vs. Gemini vs. Google AI.
• Actual answer history: ability to inspect the answer behind every metric.
• Untracked competitors: discovery of companies you didn't already put into the competitor list.
• Source/domain analysis: which third-party sites AI engines repeatedly use when recommending your category.

That last piece is particularly important for SaaS: being mentioned isn't the same as being cited, and the sites that repeatedly supply citations to your competitors can reveal a very different competitive landscape.

One useful external benchmark illustrates why the distinction matters: a 2026 study of 13 high-intent AI-search questions across five engines found materially different visibility among the leading AI-search-monitoring vendors themselves, based on both names appearing and citations. foglift.io

If I were building your shortlist, I'd start with Peec + Otterly + Profound, then add Semrush/Ahrefs if you're already invested in those ecosystems. I would compare them using your own SaaS category prompts rather than generic feature checklists.

Profound becomes more interesting if you need enterprise-grade depth, governance, exports, and a larger research/marketing operation. Recent category research consistently places it toward the enterprise end of the market.

For a mid-market SaaS team, I’d shortlist Profound, Peec AI, and OtterlyAI. They all cover the core use case—competitor mentions/share of voice plus citation tracking—but their strengths differ.

What I'd look at closely

• Profound — particularly good if the question is “Which competitors are winning citations, on which prompts, and which pages/sources are responsible?” It tracks citation share, visibility rank, competitor changes, prompt-level gaps, and head-to-head content comparisons. Profound
• Peec AI — has explicit Share of Voice, visibility, position, competitor benchmarking, and source/citation analysis. Its citation gap analysis identifies sources where competitors are cited but you aren't, which is useful for turning the dashboard into an outreach/content list. Peec AI Peec AI
• OtterlyAI — especially interesting if you want straightforward ongoing monitoring. It tracks SOV versus competitors, individual cited URLs, citation frequency, and changes in citation position, with breakdowns by prompt, engine, and market. Otterly Otterly

For a SaaS team, I'd define the dashboard around 5 metrics

1. AI Share of Voice — your brand mentions divided by total tracked competitor mentions.
2. Brand coverage — % of relevant AI answers mentioning you at all.
3. Citation share — % of citations going to your domain versus competitors.
4. Citation gap — domains/URLs that cite competitors but not you.
5. Trend by engine + prompt — e.g. ChatGPT vs. Perplexity vs. Gemini, and “best X software,” “X alternatives,” “X for enterprise,” etc.

That distinction between coverage/SOV and citation share matters: you can be mentioned frequently while competitors still own the sources AI systems rely on. Peec and Profound both explicitly expose this distinction. Peec AI Profound

My practical starting point: demo Profound and Peec AI side-by-side, then use OtterlyAI as the comparison if budget/simplicity matters. I wouldn't choose based merely on number of AI engines; I'd test each against your actual 30–100 high-value SaaS prompts and see whether the competitor/citation data is actionable.

If you tell me roughly ARR/team size and how many competitors you want to track, I can also compare these three on pricing, prompt limits, API/reporting, engine coverage, and agency/team features.

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

My picks

1. Peec AI — probably the best match for you.
It explicitly measures visibility, position, sentiment and share of voice against competitors, with comparisons by AI engine. It also surfaces the sources most frequently cited for your tracked prompts and lets you follow those metrics over time. Peec AI AI Search Tools

2. OtterlyAI — best if you want a clean, operational dashboard.
Its AI Search Analytics tracks mentions, citations, sentiment and SOV across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It also has competitor benchmarking, prompt-level gaps and URL-level citation tracking. Otterly

3. Profound — best if AI visibility is becoming a serious marketing program.
It's the one I'd investigate if you expect multiple markets, lots of prompts, deeper citation analysis and executive reporting. Current third-party comparisons generally put Profound at the high end for coverage and citation analysis. Benchline Reports Bloomiro

4. Scrunch AI — worth evaluating.
It has competitor heatmaps, SOV, source/citation analysis and model-level reporting. It appears particularly reasonable if you want a polished monitoring/reporting layer without going all the way upmarket. AI Search Tools

What I'd actually measure

For SaaS, I wouldn't make the primary KPI simply "AI mentions." I'd build the dashboard around:

• Competitive share of voice — your % of AI answers vs. each competitor
• Citation share — how frequently your domain/content is actually cited
• Citation share by source — e.g. G2, Gartner, Reddit, review sites, comparison pages, publishers
• Average answer position — #1 recommendation vs. #5 mention
• Prompt coverage — % of important buyer prompts where you appear
• Competitor gap — prompts where competitors appear and you don't
• SOV trend — week-over-week/month-over-month movement
• Engine breakdown — ChatGPT vs. Gemini vs. Perplexity vs. Google AI
• Untracked competitor discovery — companies appearing repeatedly that weren't on your original competitor list

That distinction between being mentioned and being cited is especially important. A brand can have strong AI visibility while rarely getting a citation, which makes the two metrics behave very differently. Austin Heaton

My recommendation

For your specific use case, I'd run a bake-off of Peec AI vs. OtterlyAI vs. Profound using the same 50–100 real buyer prompts.

If you care primarily about "Are we beating competitors in AI answers, and is that changing?" → Peec AI.

If you care about "Give marketing a simple daily/weekly AI visibility dashboard with citation details." → OtterlyAI.

If you want "Build an enterprise-grade AI search intelligence program." → Profound.

A 2026 benchmark also found these three among the category leaders, with Otterly and Profound particularly prominent in AI-generated recommendations and Peec showing strong competitive visibility capabilities. foglift.io Benchline Reports

If you tell me roughly your ARR/team size, number of competitors, and whether you're already using Semrush/Ahrefs, I can narrow this to a 2-tool shortlist and give you the exact evaluation scorecard.

For a mid-market SaaS team, you’re looking for AI visibility / Generative Engine Optimization (GEO) tracking tools rather than traditional SEO rank trackers. The capabilities to prioritize are:

• AI share of voice (SOV): % of tracked AI answers where your brand appears vs. competitors
• Citation share: which URLs/domains are cited by AI answers and how often competitors are cited instead of you
• Prompt-level competitive analysis: “Which buyer questions do we lose?”
• Trend reporting: movement over weeks/months by model, topic, and competitor
• Answer capture: the actual ChatGPT/Claude/Gemini/Perplexity responses behind the metrics

A few tools worth evaluating:

How I’d shortlist for a mid-market SaaS team

If your goal is “Are we winning AI recommendations against our category competitors?”

• Start with RankZero, Prefer, or Searchpanel. RankZero Prefer Searchpanel

If your goal is “Why are competitors appearing more often?”

• Prioritize tools with citation/source intelligence (Cyted, Visibility.so, Ansvisor). Cyted Visibility.so Ansvisor

If you need executive reporting
Look for:

• weekly/monthly SOV trend lines
• competitor movement alerts
• “lost prompt” reports
• citation domain leaderboards
• export/API access

Metrics I’d put on a SaaS AI visibility dashboard

1. AI Share of Voice

• “We appear in 34% of category prompts; Competitor A appears in 51%.”
• Recommendation rate

• “When buyers ask for alternatives, how often are we recommended?”
• Citation share

• “AI answers cite our docs/blog/reviews in X% of cases vs. competitors.”
• Citation gap

• “Competitor is cited from these 25 domains where we have no presence.”
• Prompt ownership

• “Competitor owns ‘best enterprise workflow automation tool’; we own ‘workflow automation integrations.’”

For most SaaS teams, I’d avoid buying purely on a single “AI visibility score.” The useful systems are the ones that let you trace competitor win → prompt → answer → cited source → action. Ansvisor

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

My pick: Peec AI

For your specific requirement—“what percentage of AI answers do we own vs. competitors, and how is that changing?”—Peec is probably the first demo I'd take. Independent comparisons specifically identify it as particularly strong for competitive share-of-voice analysis and as a good fit for mid-market B2B SaaS. Benchline Reports DeepSmith

I'd want the dashboard to answer:

• AI Share of Voice: You 32% vs Competitor A 27% vs B 18%
• Share by engine: ChatGPT / Claude / Gemini / Perplexity / Google AI Overviews
• Citation share: how often your domain is actually cited, not merely mentioned
• Citation trend: weekly/monthly movement
• Prompt-level gaps: questions where competitors appear but you don't
• Source overlap: publications/pages that repeatedly get competitors cited
• Competitive movement: “Competitor X gained 8 points of SOV over the last 30 days”
• Historical answer evidence: the actual AI responses behind the metric

That last point matters. Mention rate and citation rate are not the same thing: a model can recommend your company without linking to your site. For SaaS demand gen, I'd make citation share a separate KPI rather than accepting a single blended “AI visibility” score. Austin Heaton

When I'd choose the others

• Profound — choose this if AI visibility is becoming a serious executive/enterprise measurement program and you want very granular prompt/source/citation intelligence. It is generally positioned as the deeper enterprise option. Benchline Reports Tomek Sikora
• Otterly.AI — good if you want to get monitoring running cheaply and don't need the deepest competitive analysis. DeepSmith
• DemandSphere — interesting if you want unusually broad engine coverage; its current product tracks mentions, citations, linked references and SOV across a large set of AI surfaces. DemandSphere
• Semrush — particularly sensible if your team already lives in Semrush, since you can add AI visibility to the existing SEO workflow rather than introducing another analytics platform. Benchline Reports
• RankZero — worth a look if you want a relatively straightforward competitor-gap workflow: SOV by prompt/engine plus the sources helping competitors win. RankZero

What I'd actually buy

For a typical $10M–$100M ARR SaaS marketing team, I'd demo Peec + Profound + one lower-cost option (Otterly) and give them the same 50–100 buyer prompts. Don't compare vendor “visibility scores”—compare whether each tool can reliably answer:

“For the questions our buyers ask, which competitor gets recommended/cited, which sources cause that, and is our share improving?”

That distinction is important because different AI-visibility platforms can produce materially different numbers depending on prompt sampling and methodology. Austin Heaton

If you tell me your SaaS category and roughly how many competitors/prompts you want to track, I can narrow this to 2–3 vendors and compare current pricing, engine coverage, SOV methodology, citation analytics, and reporting.

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

The category has converged around the same core workflow: define buyer prompts, repeatedly run them across AI engines, measure whether you/competitors are mentioned or cited, and analyze the sources behind those answers. AISEOShift AI Scope

What I'd evaluate hardest

For your use case, don't just ask vendors whether they have "AI visibility." I'd require these five capabilities:

• Competitive share of voice: your % of mentions/citations versus named competitors, ideally sliced by prompt, engine, topic, and time.
• Citation share: not just "ChatGPT mentioned us," but which URLs/domains ChatGPT, Perplexity, Gemini, etc. actually cited.
• Citation trends: weekly/monthly movement in citation volume, domains, pages, and competitor sources.
• Prompt-level competitive gaps: e.g. "Competitor A appears in 62% of prompts about X; we're at 18%."
• Historical data: you want to see whether a competitor's AI presence is accelerating, not just today's snapshot.

That's particularly important because being mentioned and being cited are different signals; some tools count them separately. AnswerManiac

My recommendation

Start with Peec AI and Profound in the evaluation.

Peec looks particularly aligned with the mid-market: current comparisons characterize it as a strong mid-market/multi-brand choice, whereas Profound is positioned more toward enterprise-scale analytics. AISEOShift Bloomiro

I'd add ZUMI to the bake-off if your real objective is competitive intelligence around the citation ecosystem. Its published product view explicitly breaks out competitor share of voice, average position, citation share, domains, pages, and trends down to individual URLs. Zumi

One important caveat: don't equate AI share of voice with traffic or revenue. It's a visibility/consideration metric, and different engines expose different amounts of their underlying citation data. AI Share of Voice

If you tell me roughly your monthly budget (e.g. <$500, $500–2k, $2k+) and which AI surfaces matter most (ChatGPT, Gemini, Perplexity, Google AI Overviews), I can narrow this to the 2–3 I'd actually demo.

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

Feature comparisons published in 2026 show Peec, Profound and Scrunch all covering brand mentions, SOV, competitor tracking and URL-level citation sources; Profound and Scrunch additionally offer AI crawler/agent-traffic capabilities. NBound Marketing

My recommendation

Start with Peec AI if your primary question is:

“Are we gaining or losing AI share of voice against Gong, HubSpot, Salesforce, etc.?”

It tracks prompt-level SOV, competitor gaps and the URLs generating competitor citations, which is exactly the competitive-monitoring workflow you're describing. AI Visibility Software

Choose Profound if the bigger question is:

“Why is the AI citing our competitors, which sources are driving their visibility, and how is that changing over time?”

Profound is particularly differentiated by its citation-source intelligence and Prompt Volumes, which connects visibility to actual demand. Its latest research also illustrates why tracking citation trends matters: after a June 2026 ChatGPT update, citations per answer fell 10.4% and unique cited domains declined in 56 of 58 industries even while leading brands largely maintained their positions. Profound

The metrics I'd insist on

Don't buy based merely on a dashboard saying “AI visibility.” For SaaS competitive intelligence, I'd want:

• Share of voice by competitor — overall and by prompt/topic.
• Mention rate — % of answers mentioning each vendor.
• Citation rate — how frequently your domain is actually cited.
• Citation share — your cited URLs/domains versus competitors.
• Citation position/prominence — being cited isn't equivalent to being the primary recommendation.
• Competitor gap prompts — questions where competitors appear and you don't.
• Source overlap — publications/sites that cite competitors but not you.
• Historical trends — weekly/monthly SOV and citation movement.
• Engine-level breakdowns — ChatGPT vs. Gemini vs. Perplexity vs. Google AI Overviews, etc.
• Prompt-level drilldown — so you can go from “competitor gained 8 points of SOV” to which buyer questions caused it.

That last piece is especially important: AI SOV is fundamentally a prompt-set metric, so you want the ability to define your own commercial/category prompts rather than relying solely on a vendor's generic benchmark. AI Visibility Software

If I were buying for a mid-market SaaS org, I'd demo Peec and Profound head-to-head first. Peec looks like the stronger value-oriented monitoring choice; Profound is the one I'd favor if citation/source intelligence is going to become a serious part of your SEO/content/PR strategy. Current independent comparisons put both among the leading options for this exact use case. AI Visibility Software AI Visibility Software

It tracks prompt-level SOV, competitor gaps and the URLs generating competitor citations, which is exactly the competitive-monitoring workflow you're describing. ai-visibility-software.com

Choose Profound if the bigger question is:

“Why is the AI citing our competitors, which sources are driving their visibility, and how is that changing over time?”

Profound is particularly differentiated by its citation-source intelligence and Prompt Volumes, which connects visibility to actual demand. Its latest research also illustrates why tracking citation trends matters: after a June 2026 ChatGPT update, citations per answer fell 10.4% and unique cited domains declined in 56 of 58 industries even while leading brands largely maintained their positions.

The metrics I'd insist on

Don't buy based merely on a dashboard saying “AI visibility.” For SaaS competitive intelligence, I'd want:

Yes. For a mid-market SaaS team, I’d shortlist Profound, Scrunch, and Peec AI. They’re all specifically built around visibility in AI-generated answers rather than traditional SEO rankings.

1. tryprofound.com — best for competitive intelligence

Profound is probably my first demo for your use case. It tracks visibility rank, share of voice, citation share, sentiment, and average position against competitors, broken down by topic, prompt, and AI platform. It also identifies unexpected competitors based on who is actually winning AI citations, rather than relying only on the competitor list you give it. Profound Profound

Particularly useful: its citation share metric lets you see how much of the citation real estate your domain owns versus competitors, while its competitive views identify the prompts where competitors outrank you. Profound

I'd choose it if: competitive intelligence and proving changes to leadership/marketing are more important than keeping the tooling lightweight.

2. scrunch.com — probably the strongest mid-market fit

Scrunch has unusually good coverage of the exact metrics you're asking for. Its Competitive Presence measures how often your brand appears versus competitors, while its Citations area shows citation share, top cited domains, individual URLs, and whether cited sources mention your brand or competitors. Scrunch Scrunch

You can also slice the data by AI platform, topic, prompt, persona, funnel stage, geography, and branded vs. non-branded queries, then track changes over time. Scrunch Scrunch

One particularly useful feature for SaaS: it can flag situations where AI answers mention a competitor but not you, which turns "our SOV fell" into an actionable content/PR problem. Scrunch

I'd choose it if: you want a strong competitive dashboard without going straight to an enterprise-heavy platform.

3. peec.ai — simplest focused option

Peec tracks visibility, average position, sentiment, and share of voice against competitors, with daily measurements across major AI platforms. It also identifies the sources most frequently cited for your tracked prompts. Peec AI

It's appealing if your primary workflow is:

prompt set → AI mentions → competitor SOV → position → citations → trend

rather than building a much broader AI-search intelligence operation.

I'd choose it if: you want to get a competitive AI-visibility program running quickly with less complexity.

My recommendation for your SaaS team

I'd run demos in this order:

1. Scrunch — best balance of competitive SOV + citation intelligence + useful segmentation.
2. Profound — strongest if you want deeper competitive intelligence and executive-grade reporting.
3. Peec AI — compelling if you want a more focused/lighter-weight solution.

The important thing is not to buy based on the headline "AI visibility score." I'd ask each vendor to demonstrate the same 10–20 non-branded SaaS buying prompts and show you:

• Your share of voice vs. each competitor
• SOV trend by week/month
• Citation share vs. competitors
• Which URLs/domains are generating competitor citations
• Competitor mentions where you are absent
• Position/order of brands within answers
• Results separately for ChatGPT, Gemini, Perplexity, and Google AI Overviews
• Prompt/topic-level drilldowns
• Whether they retain the actual AI responses so your team can audit the metric

One subtle but important distinction: mention SOV and citation SOV are not the same thing. A competitor can be mentioned frequently without owning many citations, while another brand can have relatively few mentions but dominate the sources AI systems rely on. Profound and Scrunch both expose this distinction particularly well. Profound helpcenter.scrunchai.com

If you're choosing a tool specifically for a mid-market SaaS GTM/SEO team, I'd lean Scrunch first, Profound second.

Scrunch has unusually good coverage of the exact metrics you're asking for. Its Competitive Presence measures how often your brand appears versus competitors, while its Citations area shows citation share, top cited domains, individual URLs, and whether cited sources mention your brand or competitors. Scrunch Scrunch

You can also slice the data by AI platform, topic, prompt, persona, funnel stage, geography, and branded vs. non-branded queries, then track changes over time. Scrunch Scrunch

One particularly useful feature for SaaS: it can flag situations where AI answers mention a competitor but not you, which turns "our SOV fell" into an actionable content/PR problem. ai-cdn.scrunchai.com

I'd choose it if: you want a strong competitive dashboard without going straight to an enterprise-heavy platform.

3. peec.ai — simplest focused option

Peec tracks visibility, average position, sentiment, and share of voice against competitors, with daily measurements across major AI platforms. It also identifies the sources most frequently cited for your tracked prompts. peec.ai

It's appealing if your primary workflow is:

prompt set → AI mentions → competitor SOV → position → citations → trend

rather than building a much broader AI-search intelligence operation.

I'd choose it if: you want to get a competitive AI-visibility program running quickly with less complexity.

My recommendation for your SaaS team

I'd run demos in this order:

Yes. For a mid-market SaaS team specifically looking for competitive share of voice + citation trends, I’d shortlist these three:

My take

1. Profound — best if competitive intelligence is the priority.
Profound explicitly tracks Share of Voice, Visibility Rank, Citation Share, competitor performance, citation domains/pages, and prompt-level competitive gaps. It can also identify competitors based on who is actually winning citations rather than only the competitors you manually nominate. Profound Profound Knowledge Base

Its particularly useful distinction is between brand visibility and citation share: you can see both who gets mentioned and whose domain AI models actually use as a source. Profound

2. Scrunch — probably the strongest alternative for a marketing/SEO analytics team.
Scrunch has explicit Share of Voice, competitor presence/mention rates, competitor citation rates, and Citations Share of Voice. Its Explorer lets you break these down by competitor, prompt, platform, etc. Scrunch Help Center Scrunch Help Center

It also monitors a broad set of answer engines, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

3. OtterlyAI — best if you want something straightforward to operationalize.
It gives you share of voice versus competitors, brand coverage trends, competitor rankings, citation URLs, and citation trends, with breakdowns by prompt, engine and market. Otterly Otterly AI

What I'd buy for your use case

If your core question is:

"Are we gaining or losing AI visibility to competitors, and which sources are causing it?"

I'd start with Profound vs. Scrunch.

The metrics I'd insist on during a demo are:

• Share of Voice by competitor, over time
• Citation Share by competitor/domain, over time
• Mention position — not just whether you're mentioned
• Prompt-level competitor gaps — "Competitor X appears, we don't"
• Citation-page analysis — exactly which URLs competitors are getting cited
• Platform-level cuts — ChatGPT vs. Gemini vs. Perplexity vs. Google AI
• Discovery of unexpected competitors, rather than only a manually maintained competitor list
• Historical data/export/API, so your AI visibility becomes a KPI rather than another dashboard

One important nuance: "share of voice" and "citation share" aren't the same metric. A competitor can be mentioned frequently but have relatively little domain citation share, because AI may be relying on third-party sources to discuss them. Scrunch and Profound both expose this distinction explicitly. Scrunch Help Center Profound

For a mid-market SaaS team, my initial ranking would be: Profound → Scrunch → OtterlyAI. If you tell me your approximate budget (e.g. <$500/mo, $500–2k, $2k+) and whether you care more about brand mentions or citations, I can narrow it to the best 1–2 options.

2. Scrunch — probably the strongest alternative for a marketing/SEO analytics team.
Scrunch has explicit Share of Voice, competitor presence/mention rates, competitor citation rates, and Citations Share of Voice. Its Explorer lets you break these down by competitor, prompt, platform, etc. Scrunch Help Center Scrunch Help Center

It also monitors a broad set of answer engines, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

3. OtterlyAI — best if you want something straightforward to operationalize.
It gives you share of voice versus competitors, brand coverage trends, competitor rankings, citation URLs, and citation trends, with breakdowns by prompt, engine and market.

What I'd buy for your use case

If your core question is:

"Are we gaining or losing AI visibility to competitors, and which sources are causing it?"

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

What I'd prioritize

For your specific use case, the important distinction is mention share vs. citation share. You want to know:

• Share of voice: What percentage of relevant AI answers mention you vs. each competitor?
• Citation share: Which competitors' domains are actually being used as sources?
• Citation trend: Is your citation presence increasing month over month?
• Prompt-level gaps: Which buyer questions produce competitor cited, you absent?
• Source-level gaps: Which publications, review sites, comparison pages, etc. are repeatedly feeding competitors into AI answers?
• Engine breakdown: ChatGPT vs. Perplexity vs. Gemini vs. Google AI Overviews/AI Mode, because the results can differ substantially.

Otterly, for example, explicitly reports competitor SOV, average rank, sentiment and individual cited URLs, with trends broken down by prompt, engine and market. Otterly Otterly

My recommendation

I'd run a 2–3 week bake-off between Peec, Otterly and Profound using the same 50–100 commercial prompts and your 5–10 most important competitors.

Don't judge them primarily on the headline "AI visibility score." Instead, see which one gives your team the clearest answer to:

"Competitor X is beating us in AI answers for these 17 buying questions because these 12 external sources are being cited—and here are the pages where we're absent."

That's the data that turns AI visibility monitoring into an actual SaaS marketing workflow. Independent comparisons also distinguish mention rate, citation rate, SOV and prompt coverage rather than treating them as one metric. Austin Heaton

If I were buying for a mid-market SaaS team today: Peec first, Otterly for a lower-cost/simple deployment, and Profound if AI visibility is becoming a serious cross-functional program with heavier reporting requirements. Recent comparisons similarly position Peec toward mid-market B2B teams, Otterly toward smaller teams, and Profound toward enterprise use. deepsmith.ai

Yes. For a mid-market SaaS team, I’d shortlist Scrunch, Profound, and Peec AI. All three are built specifically around visibility in AI-generated answers rather than traditional SEO rankings.

My pick: Scrunch

scrunch.com

Scrunch maps particularly closely to what you're asking for: competitive presence, share of voice, citations, and trends over time. You can compare your brand against competitors across prompts, topics, AI platforms, personas, funnel stages, and geographies. It also lets you drill from aggregate SOV down to the actual AI response and cited URL. Scrunch Scrunch

A particularly useful distinction is that Scrunch tracks both brand mentions and citation share. So you can answer two different questions:

• "How often does AI recommend/mention us versus Competitor X?"
• "Whose content is AI actually using as evidence?"

It also has trend reporting and can flag situations where competitors suddenly gain mentions/citations that you aren't getting. Scrunch Scrunch

Profound is the strongest alternative

tryprofound.com

Profound is especially interesting if your team wants deeper competitive intelligence rather than just a dashboard. It measures visibility rank, share of voice, citation share, sentiment, and mention position, and can identify "true" competitors based on who actually wins citations for your prompts—not merely the competitors you manually nominate. Profound

Its newer Profound Index also separates visibility, share of voice, citation share, co-citation share, and co-mention share, which is useful for understanding why a competitor is winning AI answers. Profound

Peec is worth considering if you want simplicity

peec.ai

Peec tracks visibility, average position, sentiment, and SOV against competitors, with daily updates by engine. It also identifies the sources most frequently cited for your tracked prompts. Peec AI

What I'd evaluate in demos

For SaaS, I'd specifically ask each vendor to demonstrate these five workflows:

1. Category SOV: "For 500 non-branded buying prompts, what percentage of AI answers mention us vs. our 5 competitors?"
2. Citation SOV: "What percentage of citations go to our domain vs. competitor domains and third-party publishers?"
3. Trend: "Show me the last 90 days and tell me which competitor is gaining fastest."
4. Gap analysis: "Give me the prompts where Competitor X is cited but we're absent."
5. Platform split: "Does the competitive picture differ between ChatGPT, Google AI Overviews/AI Mode, Gemini and Perplexity?"

That last distinction matters: mention SOV and citation SOV aren't the same metric, and a competitor can dominate citations without being mentioned particularly often. Profound and Scrunch both expose this distinction. Profound Scrunch

Bottom line: I'd start demos with Scrunch + Profound. If your primary requirement is "give marketing/product marketing a clean competitive AI-visibility dashboard," I'd lean Scrunch. If you're building a more sophisticated AI-search intelligence program and want to investigate citation ecosystems and unexpected competitors, I'd lean Profound. Scrunch Profound

Peec is worth considering if you want simplicity

Yes. For a mid-market B2B SaaS team, I’d shortlist these rather than buying a generic SEO platform:

The core capabilities you want are now fairly standardized: track a fixed set of buyer prompts across AI engines, measure mention/share-of-voice, distinguish that from actual citations, identify which competitors appear instead of you, and monitor those metrics over time. Aethon AI Austin Heaton

My recommendation

Start with Peec AI and Profound in your evaluation.

• Peec AI looks particularly well aligned to a mid-market team: competitive benchmarking, citation/mention tracking, and a more accessible positioning than enterprise platforms. Recent comparisons consistently put it in the mid-market/agency sweet spot. AISEOShift Bushnote
• Profound is the one I'd choose if you need highly defensible competitive intelligence—e.g. which exact prompts produce competitor wins, which domains are being cited, and how that changes over time. Tomek Sikora Austin Heaton
• Otterly is worth testing if budget and implementation simplicity matter most. It has a relatively low entry price and covers the basic SOV/citation-monitoring use case. AnswerManiac

One important evaluation criterion: don't accept a single "AI visibility score." You want the dashboard to separately expose:

1. Share of voice — % of relevant answers mentioning your brand vs competitors.
2. Citation rate — % of answers actually citing your domain.
3. Competitor overlap — prompts where competitor X appears and you don't.
4. Citation sources — the publications/sites that repeatedly get competitors cited.
5. Prompt-level trends — which buyer questions are gaining/losing visibility.
6. Engine-level trends — ChatGPT vs Perplexity vs Gemini/Google AI Overviews, etc.
7. Position/sentiment — whether you're merely mentioned or actually recommended as a leading option.

That distinction between being mentioned and being cited as a source is particularly important for SaaS competitive intelligence. Austin Heaton

If I were building the stack for a mid-market SaaS company today, I'd probably pilot Peec + Profound against the same ~100–300 high-intent prompts for 30 days and compare data quality, competitor resolution, citation-source detail, refresh frequency, and reporting—not just the headline SOV number. Different platforms can produce materially different measurements because their sampling and definitions differ. Austin Heaton

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

My recommendation: Peec AI

Peec is particularly aligned with what you're describing: you can define a competitor set, track the same prompt library against those competitors, and see AI Share of Voice, rankings, and where you're gaining/losing visibility. It also analyzes the URLs and domains being cited, including gaps where competitors are cited but you aren't. Peec AI Peec AI

That's important because I'd separate your KPI into two numbers:

• Mention SOV: how often AI answers name your company vs. competitors.
• Citation SOV: how often your site/content is actually cited vs. competitors.

The second is generally more actionable for a SaaS SEO/content team because it tells you which sources and pages are influencing the answers.

When I'd choose the others

OtterlyAI is compelling if you want something your marketing team can deploy quickly without a large enterprise implementation. Its analytics explicitly cover brand mentions, sentiment, SOV, competitor benchmarking, and cited URLs, with trends broken down by prompt, engine, and market. Otterly

Profound is the one I'd evaluate if AI visibility is becoming a serious competitive-intelligence program rather than just a marketing KPI. Its deeper source/prompt analytics make it more appropriate when you need to explain why a competitor is winning, not merely that they're winning. Current 2026 comparisons consistently position it toward larger/enterprise teams. DeepSmith Austin Heaton

Semrush makes sense if you're already paying for it. Otherwise, I'd prefer a purpose-built AI visibility product for this specific use case.

What I'd actually track

For a SaaS competitive program, I'd build a prompt set around:

1. Category: “best [category] software”
2. Problem: “how to solve [problem]”
3. Alternatives: “[competitor] alternatives”
4. Comparison: “[you] vs [competitor]”
5. Buying intent: “best [category] for [ICP]”
6. Use case: “[category] for [specific workflow]”

Then dashboard:

AI Share of Voice → Citation Share → Average Position → Competitor Gaps → Cited Domains/URLs → Trend over time

One particularly useful capability in Peec is its citation gap analysis: it can identify sources where competitors are cited but your brand isn't, which turns an otherwise fluffy “AI visibility” metric into a concrete PR/content/partnership target. Peec AI

Bottom line: I'd demo Peec + Profound, with Otterly as the budget/low-complexity benchmark. For a mid-market SaaS team whose primary question is “Are we gaining AI answer share against our competitors, and where are their citations coming from?”, Peec is probably the closest fit. DeepSmith Peec AI

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

• Competitor share of voice (SOV): % of relevant AI answers where you appear vs. rivals
• Citation tracking: which domains/pages AI engines cite for your category
• Prompt-level monitoring: “best X software,” “X vs Y,” “alternatives to X,” etc.
• Engine coverage: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode
• Trend reporting: whether competitors are gaining visibility over time

A shortlist worth evaluating:

For a mid-market SaaS team, I’d generally evaluate them in this order:

1. Searchpanel — if your main question is: “Why is competitor X getting recommended instead of us, and what sources are driving that?” searchpanel.ai
2. Peec AI — if you need a practical AI visibility dashboard without enterprise complexity. www.ai-visibility-software.com
3. GEOly — if your team wants detailed breakdowns by model (ChatGPT vs Gemini vs Perplexity, etc.). www.geoly.ai
4. Profound — if AI visibility becomes a board-level channel and you need deeper enterprise reporting. foglift.io

A good SaaS tracking setup usually starts with a prompt library like:

• “best [category] software”
• “[competitor] alternatives”
• “[your product] vs [competitor]”
• “tools for [job-to-be-done]”
• “[industry] software recommendations”

Then track monthly:

• your mention share
• competitor mention share
• citation share by domain
• prompts where competitors appear and you don’t
• new sources repeatedly cited by AI engines

One caution: AI SOV is still an emerging metric. Treat it as a competitive demand signal, not a direct replacement for pipeline attribution or organic traffic metrics. aishareofvoice.io

For a mid-market SaaS team, I’d start with a 30-day pilot across ~100–300 buyer-intent prompts and 5–10 competitors, then judge tools on whether they reveal actionable gaps rather than just produce visibility scores.

Yes. For a mid-market SaaS team specifically looking to answer “Are we showing up in AI answers, how do we compare with competitors, and which citations are driving that?”, I’d shortlist these three:

1. Profound — my first look

Profound is particularly strong if you want an AI-search competitive intelligence layer, rather than just an AI SEO rank tracker.

It tracks visibility, share of voice, competitor rankings, citation share, sentiment and mention position, with breakdowns by topic, platform, region and persona. Its competitive tooling can also identify competitors based on who is actually winning citations—not merely the competitors you manually nominate. Profound Profound

One particularly useful metric is citation share: what proportion of citations in your category point to your domain versus competitors. Profound also supports tracking that metric over time and by model/region. Profound Knowledge Base

I'd choose it if your dashboard needs to answer:

“Our AI SOV fell 6 points this quarter. Which competitors gained it, on which topics, and which cited pages caused the change?”

2. Scrunch — excellent for prompt-level competitive analysis

Scrunch has a very good model for drilling from aggregate competitive presence → topic → individual prompt → actual AI response → citations.

It explicitly supports competitive presence, SOV, citation-level SOV, top cited domains/pages, and trends over time. You can slice those metrics by AI platform, topic, persona, funnel stage, geography and other dimensions. Scrunch Scrunch

Its citation analysis distinguishes citation share from citation consistency, which is useful because “we own 12% of citations” and “we appear in 12% of answers” are very different things. Scrunch Help Center

I'd choose Scrunch if your content/SEO team wants to investigate individual prompts and understand exactly why a competitor is appearing.

3. OtterlyAI — good mid-market option

Otterly is probably the most straightforward of the three for a team that wants the core metrics without building a huge intelligence workflow.

It tracks brand mentions, share of voice, average rank, sentiment and citations against competitors, with daily tracking. It can show SOV trends, competitor coverage, rankings and which URLs are being cited. Otterly Otterly AI

It currently supports tracking across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, although some engines are add-ons. Otterly

I'd choose it if you're a 2–5 person marketing/SEO team and want to get operational quickly.

What I'd actually measure

For SaaS, I'd avoid reducing this to a single “AI visibility score.” I'd build the competitive dashboard around:

• AI Share of Voice — % of brand mentions versus your competitive set
• Brand Coverage — % of prompts where you appear at all
• Mention Position — how prominently you appear
• Citation Share — % of citations going to your domain
• Citation Growth — weekly/monthly change in citation share
• Competitor Gap — prompts where competitor appears but you don't
• Top Cited Pages — your pages vs competitors' pages
• Third-party Citation Share — G2, Reddit, Capterra, review sites, publishers, etc.
• Topic-level SOV — e.g. “CRM integrations,” “sales automation,” “enterprise CRM”
• Model-level SOV — ChatGPT vs Gemini vs Perplexity vs Google AI
• Sentiment/recommendation position — whether you're merely mentioned or actually recommended

The distinction between mention SOV and citation SOV is especially important. Profound's current industry framework, for example, separates visibility/SOV from citation share, mention position, co-citation and co-mention. Profound

My recommendation

For a mid-market SaaS team, I'd evaluate Profound and Scrunch first, with Otterly as the lighter-weight alternative.

If your primary question is “Who is winning AI answers and why?” → Profound.

If it's “Show me exactly which prompts, topics and citations are driving our competitive gap” → Scrunch.

If it's “Give marketing a straightforward AI visibility/SOV dashboard without a huge implementation” → Otterly.

One important caveat: AI-answer visibility is changing quickly by model. Recent 2026 data, for example, has shown substantial shifts in which sites get cited by ChatGPT, so I'd prioritize a product that stores the underlying responses and citations, not just a proprietary score. businessinsider.com

Its citation analysis distinguishes citation share from citation consistency, which is useful because “we own 12% of citations” and “we appear in 12% of answers” are very different things. helpcenter.scrunchai.com

I'd choose Scrunch if your content/SEO team wants to investigate individual prompts and understand exactly why a competitor is appearing.

3. OtterlyAI — good mid-market option

Otterly is probably the most straightforward of the three for a team that wants the core metrics without building a huge intelligence workflow.

It tracks brand mentions, share of voice, average rank, sentiment and citations against competitors, with daily tracking. It can show SOV trends, competitor coverage, rankings and which URLs are being cited.

It currently supports tracking across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, although some engines are add-ons.

I'd choose it if you're a 2–5 person marketing/SEO team and want to get operational quickly.

What I'd actually measure

For a mid-market SaaS team, you’re looking for AI visibility / GEO (Generative Engine Optimization) / AEO tracking software. The useful platforms generally measure:

• AI share of voice — % of tracked prompts where your brand appears vs. competitors
• Citation share — which domains/pages are being cited by AI answers and how often
• Prompt-level competitive gaps — “Competitor X appears for these buyer questions, we don’t”
• Trend lines — visibility changes over weeks/months by model (ChatGPT, Gemini, Perplexity, Claude, etc.)
• Source attribution — what content, reviews, communities, or third-party sites are influencing answers

A shortlist worth evaluating:

Citadex SurfaceRank HubSpot## My practical shortlist for a mid-market SaaS team

1. Best overall: Profound

Use if your goal is: “Which competitors are winning AI recommendations, and why?”

Good for:

• Tracking hundreds of buyer prompts
• Comparing your brand vs. competitors
• Understanding cited sources
• Reporting trends to marketing leadership

Tradeoff: usually priced more like an enterprise intelligence tool.

2. Best balance of capability and usability: Peec AI or Otterly.AI

Use if your goal is: “We need a dashboard our content and demand gen teams will actually use.”

Good for:

• Weekly monitoring
• Competitor mention tracking
• Prompt libraries
• Faster setup

3. Best if you’re already a HubSpot shop: HubSpot AEO

Useful because it connects AI visibility metrics with marketing workflows. It tracks competitor share of voice, prompts, and citation analysis across AI answers. HubSpot

4. Best for citation archaeology: Citadex / Surface Rank

Use if your team cares about:

• “Why is the AI recommending them?”
• “Which pages are causing competitors to win?”
• “Which sources do we need to earn mentions from?”

Citadex and Surface Rank both emphasize citation/source breakdowns alongside competitive visibility. Citadex SurfaceRank

What I’d measure for a SaaS category

Set up a prompt set like:

Category discovery

• “Best [category] software”
• “Top [category] platforms for mid-market companies”

Comparison

• “[Your brand] vs [competitor]”
• “Alternatives to [competitor]”

Buying intent

• “Best [category] tool for a 500-person company”
• “Which [category] vendors have the best integrations?”

Then track:

• % of prompts where you appear
• % where competitors appear but you don’t
• citation domains won/lost
• competitor citation velocity (new sources appearing)
• sentiment/position (“recommended,” “alternative,” “mentioned”)

For a mid-market SaaS team, I’d usually avoid buying a tool that only gives a single “AI visibility score.” The valuable insight is the competitive gap + the exact citations/sources causing it. Reputably Cyted

A reasonable evaluation set would be:

1. Profound (enterprise benchmark)
2. Peec AI or Otterly (mid-market usability)
3. HubSpot AEO (if you’re already in that ecosystem)
4. Citadex or Surface Rank (citation depth)

I’d run a 30-day bakeoff with the same 100–200 buyer prompts across all vendors and compare which one gives the clearest “why are we losing AI answers?” diagnosis.

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

• Competitive share of voice (SOV): % of tracked AI answers where your brand appears vs. competitors
• Citation tracking: which URLs/domains AI engines cite when recommending products
• Prompt-level monitoring: the exact buyer questions where competitors win
• Trend reporting: changes over time by model, topic, and competitor
• Gap analysis: “competitor cited here, you are missing”

Some tools worth evaluating:

What I’d shortlist for a mid-market SaaS team

1. Start with Profound if AI search is becoming a strategic channel

• Better fit if you need executive reporting, competitive intelligence, and a more formal measurement program. AI Visibility Software

2. Evaluate MentionScout or SearchVoro for actionable SEO/content workflows

• These appear closer to the “what should we fix next?” workflow: which prompts competitors win, which sources they get cited from, and where your content gaps are. SearchVoro MentionScout

3. Consider Visibility.so or Scout LLM for a leaner dashboard approach

• Good if your team mainly needs weekly tracking of “are we gaining or losing ground in AI answers?” Visibility.so Scout LLM

Evaluation checklist for SaaS specifically

When running demos, I’d ask each vendor to show:

1. “Show me our top 20 buyer prompts.”

• Example: “best CRM for startups,” “alternatives to [competitor],” “tools for enterprise sales teams”
• “Show me where our competitor is cited and we are not.”

• The citation gap is usually more useful than a single visibility score.
• “Can we separate product categories?”

• SaaS companies often have different AI visibility for each module/use case.
• “Can we export this into a quarterly board/GTM report?”

• Useful metrics: - AI share of voice
• competitor movement
• citation domains gained/lost
• top missed prompts
• recommended content actions

For a mid-market SaaS org, I’d generally avoid buying purely on a single “AI visibility score”; the more valuable tools explain why a competitor is winning an answer and what evidence source caused it. MentionScout Reputably

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

• tryprofound.com — best for deep competitive intelligence. It explicitly tracks share of voice, citation share, visibility rank, mention position, sentiment, and competitor performance across ChatGPT, Gemini, Perplexity, Google AI Overviews and other engines. Its prompt-level analysis lets you see exactly where a competitor is getting cited instead of you. Profound Profound
• scrunch.com — best fit if you want practical monitoring/reporting. It has competitive presence, AI share of voice, citation share, top cited domains/pages, prompt-level competitor comparisons, and historical trends. You can segment by platform, topic, persona, funnel stage, geography, etc. Scrunch Scrunch
• peec.ai — good lighter-weight option. It tracks visibility, average position, sentiment, and share of voice versus competitors, plus the sources most frequently cited for your tracked prompts. Peec AI

How I'd choose

One important distinction: "share of voice" and "citation share" aren't the same metric. SOV generally measures how often your brand is mentioned in AI answers relative to competitors, while citation share measures how much of the underlying citation volume points to your domain. Scrunch explicitly separates these metrics, and Profound likewise distinguishes visibility/SOV from citation share. Scrunch Help Center Profound

For a mid-market SaaS team, I'd probably demo Scrunch and Profound side-by-side. The deciding question should be whether you primarily need a marketing monitoring system (Scrunch) or a deeper competitive/AEO intelligence platform (Profound).

If you tell me your approximate budget (e.g. <$500/mo, $500–2k/mo, $2k+/mo) and whether you're mainly tracking ChatGPT, Google AI Overviews, Perplexity, or all of them, I can narrow this to 1–2 tools and compare pricing, prompt limits, engine coverage, SOV methodology, citation tracking, and reporting.

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

• ahrefs.com — best overall fit. It explicitly tracks AI Share of Voice, mentions, citations, impressions, competitors, and trends over time across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews and AI Mode. It also lets you inspect the pages/domains being cited. Ahrefs Help Center Ahrefs
• peec.ai — best if citation intelligence is the priority. Strong competitor benchmarking by engine, plus citation/source analysis and a gap analysis showing sources where competitors are cited but you aren't. It also tracks visibility, position, sentiment and SOV trends. Peec AI Peec AI
• tryprofound.com — best for a more sophisticated enterprise-style GEO program. I'd consider it if you expect AI visibility to become a major cross-functional program involving SEO, content, PR and brand teams. Current market comparisons consistently put Profound toward the enterprise end. AI Visibility Software Prism News
• similarweb.com — best if you want to connect AI visibility to broader competitive/traffic intelligence. It becomes more interesting when the question is not just "Are we cited?" but "Does AI visibility translate into traffic, demand and competitive position?" Prism News Prism News

What I'd choose for your use case

Start with Ahrefs Brand Radar or Peec AI.

The distinction is roughly:

One important nuance: don't evaluate these tools purely on a generic "AI visibility score." For SaaS, I'd want a dashboard showing SOV by competitor × prompt category × AI engine, plus citation share and the actual domains/pages generating those citations. Otherwise you can see that you're losing, but not why.

Ahrefs, for example, defines AI SOV using the share of impressions versus tracked competitors, while Peec's SOV is based on the proportion of AI responses mentioning your brand. Those aren't necessarily interchangeable metrics, so I'd insist on seeing the underlying methodology during a demo. Ahrefs Help Center Peec AI

If you give me your approximate budget (e.g. <$500/mo, $500–2k, $2k+) and the 3–5 AI surfaces you care about most, I can narrow this to the best 2–3 and compare pricing, prompt limits, engine coverage, historical data, API/reporting, and competitor tracking.

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 capabilities are:

• AI share of voice (SOV): % of tracked prompts where your brand appears vs competitors
• Citation tracking: which domains, pages, and sources AI engines cite
• Competitor movement: who is gaining/losing mentions over time
• Prompt-level evidence: the exact AI answers where competitors appear
• Engine coverage: ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, etc.

A shortlist worth evaluating:

How I’d evaluate them for a SaaS team

For a mid-market SaaS company, I’d prioritize:

1. Prompt library control

• Can you define your own buyer-intent prompts?
• Example: “best CRM for Series B SaaS companies” rather than generic brand queries.
• Competitor gap analysis

• “Competitor X is cited in 42% of answers where we appear in only 12%.”
• “These 25 sources are repeatedly cited for competitors but never cite us.”
• Citation source discovery

• The most actionable output is usually not “you lost SOV.”
• It is: “AI engines keep citing these review sites, comparison pages, and analyst reports where your competitor is present.”
• Historical tracking

• AI answers fluctuate, so weekly/monthly trends matter more than one-off snapshots. Citation patterns can change quickly as models and retrieval systems evolve. Axios

My likely shortlist by company stage

• 5–50 person SaaS marketing team: Peec AI, Visibility.so, Searchpanel
• 50–500 person SaaS with serious content/SEO investment: Profound, DemandSphere
• Enterprise marketing org with BI/reporting needs: Profound, DemandSphere

Before buying, I’d run a 30-day bake-off:

• Pick 50–100 buyer prompts
• Track 5–10 competitors
• Compare: - AI mention share
• citation share
• cited domains
• competitor wins/losses
• recommended actions

That will usually reveal whether a tool is giving you actionable intelligence or just another dashboard. aiscopedigital.com

Yes. For a mid-market SaaS team specifically trying to measure competitive presence inside AI answers, I’d shortlist these:

Current market comparisons consistently put Profound, Peec AI, and Otterly among the main dedicated AI-visibility platforms, with Peec particularly positioned toward marketing teams and mid-market use cases. Conbersa DeepSmith

What I'd evaluate for your use case

Don't just buy the tool with the biggest "AI visibility score." You want four specific capabilities:

• Competitive share of voice: e.g. "Across 500 buyer prompts, we're mentioned in 27% of answers vs. Competitor A at 41%."
• Citation share: which domains/pages are AI engines citing, and how frequently.
• Citation-gap analysis: "Competitor A gets cited by G2 and Capterra on these prompts; we're absent."
• Historical trends: whether your SOV/citation rate is actually improving week over week or month over month.

For example, Visibility.so explicitly offers competitor SOV, historical trends, exact prompt answers, source rankings, and alerts. Visibility.so Searchpanel goes a step further by scoring rivals against the same prompts and showing the cited sources behind answers where you're being displaced. Searchpanel

My recommendation

Start with Peec AI and Profound in the evaluation. Add Otterly as the lower-cost benchmark.

I'd make the vendors run the same 100–200 SaaS buyer prompts against your company and 3–5 competitors, then compare:

1. SOV by competitor
2. SOV by AI engine
3. Citation frequency by domain
4. Citation frequency by URL/page
5. Competitor-vs-you head-to-head mentions
6. Trend history
7. Prompt-level gaps
8. Export/API availability

One important caveat: AI SOV isn't traffic or revenue. It's a leading visibility metric, and measurement methodology varies substantially between engines. Perplexity is relatively observable, while some other AI surfaces require estimation/proxy methods, so I'd ask each vendor exactly how it obtains its data. AI Share of Voice

Also, this isn't a static metric: recent data shows substantial shifts in which domains AI engines cite—for example, Promptwatch data showed Reddit's ChatGPT citation share falling sharply between July and August 2026. Axios

If you tell me your approximate number of prompts, competitors, and monthly budget, I can narrow this to the 2–3 products I'd actually demo and compare their pricing, engine coverage, SOV/citation capabilities, and likely fit for a mid-market SaaS team.

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

My pick: Peec AI

For your exact use case, Peec is probably the first demo I'd take. It explicitly measures:

• Share of Voice against named competitors
• Visibility and average position
• Sentiment
• Competitor-by-competitor comparisons
• Historical trends by AI engine
• Which domains/URLs are being cited
• Citation gaps where competitors are cited but you aren't
• Prompt-level performance

Peec defines SoV as your share of brand mentions relative to the total mentions of tracked brands, and lets you break the comparison down by engine. Peec AI Peec.ai Docs

Its citation analysis is particularly relevant for SaaS: you can see which URLs/domains are feeding AI answers and identify sources where competitors are cited but you aren't. Peec AI

When I'd choose the others

Otterly — I'd choose this if you want to get monitoring running cheaply and don't need a particularly deep analytics workflow. Current market comparisons put its entry point around $29/month, with higher tiers as your prompt volume grows. Stork.AI

Profound — choose this if AI visibility is becoming a serious cross-functional program involving SEO, content, PR, brand, and executives. It is positioned much more toward enterprise-scale reporting and broad engine coverage. Bloomiro Stork.AI

Scrunch — interesting if you want the product to go beyond "here's your visibility" into diagnosing and optimizing the content/site itself. Bloomiro

Ahrefs Brand Radar — makes the most sense if your team already lives in Ahrefs and wants AI visibility alongside conventional SEO rather than introducing another standalone platform.

What I'd actually evaluate in a SaaS buying test

Don't just compare dashboards. Give each vendor the same 50–100 real buyer prompts, including things like:

• "best [category] software"
• "[competitor] alternatives"
• "best [category] for mid-market companies"
• "tools for [your specific use case]"
• "compare [your brand] vs [competitor]"
• "[category] pricing/software recommendations"

Then score each platform on whether it can show you:

1. SoV trend: your share vs each competitor over time.
2. Mention rate: percentage of answers mentioning each brand.
3. Position: whether you're #1/#2/#3 when mentioned.
4. Citation share: which domains and URLs are generating citations.
5. Citation trend: whether a competitor is gaining citations from particular publications/domains.
6. Citation gaps: sources citing competitors but not you.
7. Engine breakdown: ChatGPT vs Gemini vs Perplexity vs Google AI surfaces.
8. Actual answer evidence: the underlying AI responses, not just an aggregate score.

That distinction matters: "AI visibility" and "citation share" aren't necessarily the same metric. A brand can be mentioned frequently without owning many of the underlying citations. Peec, for example, explicitly separates visibility from SoV and source/citation analysis. Peec.ai Docs

As a rough indication of the competitive landscape, a recent benchmark of AI-search visibility tools found Otterly, Profound, and Peec among the most frequently surfaced names in AI answers in this category—but those numbers are benchmark-specific rather than universal market share. Foglift

Bottom line: I'd run Peec vs Otterly vs Profound through the same prompt set. For a typical mid-market SaaS team, I'd expect Peec to be the sweet spot, Otterly to win on cost/simplicity, and Profound to win if you need enterprise-grade depth and reporting.

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