Key takeaways
- Google AI Mode is its own surface, separate from AI Overviews, so a tracker needs to query AI Mode directly. Many tools only cover it as an add-on or on higher tiers.
- For B2B SaaS, the best trackers report which domains AI Mode cites, not only whether your brand is mentioned. Google's own properties take a growing share of citations.
- Third-party roundups, including the ones used for the pricing below, are often written by vendors. Treat prices as starting points and confirm them on each vendor's pricing page.
- Monitoring-only tools tell you where you are invisible. Platforms that also help you fix gaps and measure the result save more time on a lean SaaS marketing team.
Why AI Mode needs its own tracker
Google AI Mode is the conversational tab inside Google Search. It builds multi-turn answers with Gemini and lets buyers keep refining the question. AI Overviews, the summaries above classic results, behave differently, and so do ChatGPT and Perplexity.
For B2B SaaS this matters because evaluation research is exactly the kind of query AI Mode handles: "best CRM for a 50-person team with Salesforce migration", "alternatives to X", "SOC 2 compliant tools for Y". Buyers shortlist inside the answer before they ever visit a vendor site.
One stat circulates widely: brands appear in about 90% of AI Mode responses versus about 43% in AI Overviews. It comes from a KIME roundup that attributes it to a 2025 Search Engine Land study. I could not verify the original, so I would not put that number in a board deck. The direction is plausible (AI Mode answers are longer and name more brands), but check before you quote it.
What the AI Mode citation data shows
Before picking a tool, it helps to know what you are actually trying to measure. Promptwatch Data's Google AI Mode citation share report for June 2026 (May 31 to Jun 26, month-to-date) has a few findings that should shape your tracker requirements:
- google.com took 7.31% of all AI Mode citations in June, more than YouTube (2.88%) and Reddit (2.52%) combined. It rose from 4.24% in May, a 72% jump.
- Google-owned properties, YouTube included, hold over 10% of the citation mix.
- Below the top three, every domain sits under 1%. The open-web opportunity is in the long tail.
Two implications for B2B SaaS. First, a tracker that only says "you were mentioned in 4 of 20 prompts" misses the point. You want to see which domains fill the source list, and whether yours is one of them. Second, small, tightly scoped pages that fully answer one question are what the long tail rewards.
For a SaaS-specific proxy, the October 2026 ChatGPT software citation report (Sep 28 to Oct 4, 2026) is useful, though it is ChatGPT data, not AI Mode. GitHub (1.2%), learn.microsoft.com (0.98%) and G2 (0.73%) lead. Vendor sites and docs together earn 4.65% of software citations, about three times the 1.57% share of review sites and analysts combined. If AI Mode behaves similarly, your own docs and help center matter more than another G2 profile.
What to look for in an AI Mode tracker for SaaS
Here is the checklist I would use.
- Real AI Mode coverage. Not a general "Google" bucket. Ask whether AI Mode is included in your plan or sold as an add-on.
- How data is collected. UI scraping versus API outputs can differ, since user-facing answers and citations often differ from API responses. The research I gathered did not verify this for most vendors, so ask them directly.
- Citation and source reporting. You need cited domains and URLs, not only brand mentions.
- Competitor and sentiment tracking. SaaS buying is comparison-heavy. You want share of voice against the three or four vendors you actually lose deals to.
- Geo and language support. Matters if you sell in several markets.
- Prompt limits. B2B categories need broad prompt sets covering use cases, personas, integrations and alternatives.
- Path to action. A dashboard that ends at a score leaves the work to you.
- Pipeline connection. Can you tie AI referrals to demos and signups?
Quick comparison table
Prices below come from KIME's April 2026 roundup (a vendor-published list, so treat it as biased) and are unverified against vendor pricing pages. Always confirm before budgeting.
| Tool | AI Mode coverage | Starting price (per KIME) | Positioning |
|---|---|---|---|
| Promptwatch | Yes, real-UI tracking | $95/mo (Essential) | End-to-end AI visibility and optimization |
| KIME | Yes, plus 8 other engines | €99/mo | End-to-end AI visibility and GEO |
| Writesonic | Yes | $199/mo | Enterprise GEO programmes |
| LLM Pulse | Limited (Google) | €49/mo | Brand recommendations and sentiment |
| Profound | Enterprise tier only | $99/mo | Large brands |
| Nightwatch | Add-on | $39/mo + AI add-on | AI plus traditional rank tracking |
| Peec AI | Yes | €85/mo | SaaS, B2B, ecommerce |
| Otterly.AI | Add-on | $29/mo | Prompt-based tracking |
| seoClarity | Yes | $2,500+/mo | Global enterprise |
| Keyword.com | Yes | $4/mo | Verified AI and rank tracking |
The best Google AI Mode trackers for B2B SaaS
Promptwatch
Promptwatch is the one I would put first for a SaaS team that wants to do something with the data. It monitors the actual Google AI Mode interface (and AI Overviews, ChatGPT, Gemini, Perplexity, Copilot, Claude and more) per country and language, so you see what a buyer sees, not an API approximation.
For the AI Mode problem described above, a few things matter. Citation reporting shows which domains and pages AI cites, with Citation Trends classifying sources into types like Directory, Reddit or vendor docs. Query fan-outs show the sub-searches behind a response. Prompt volumes and difficulty help you prioritize which of your 200 SaaS prompts deserve content first. Brand Narrative pulls the claims AI makes about you ("expensive for small teams", "weak integrations") and scores themes like Pricing and Features against competitors.
Then it goes beyond tracking. The Action Board prioritizes gaps, the Content Agent writes and publishes pages to WordPress, Webflow or Framer, and IP-verified AI crawler logs plus visitor analytics show whether those pages were crawled, cited and converted. Crisp, a SaaS company, reported 2x higher conversion rates from AI traffic versus traditional channels.
Pricing: Essential is $95/mo (50 prompts, daily tracking), Professional $245/mo (150 prompts, crawler logs), Business $579/mo (350 prompts, Content Agent, Fact Check, faster-than-daily tracking). There is a 7-day free trial on monthly billing, and a free AI visibility report. Confirm on promptwatch.com/pricing. If you are weighing it against a monitoring-only tool, see Promptwatch vs Peec and Promptwatch vs Profound.
Peec AI
Peec AI is repeatedly described as suited to SaaS and B2B teams tracking AI recommendations, both by KIME and by SE Visible's roundup. It lists AI Mode coverage and starts around €85/mo per KIME. It is a solid prompt-and-visibility tracker. What it lacks versus a full platform is crawler logs, visitor analytics and content generation, so the fixing happens elsewhere.
KIME
KIME ranks itself first in its own roundup, which you should discount accordingly. Its pitch is real-time tracking across nine AI engines including AI Mode, a dedicated Action Centre and multi-seat access from €99/mo. I have not tested it, but if you want a single vendor that couples tracking with optimization suggestions, it is worth a trial next to the others.
Profound
Profound targets large brands. Per KIME, AI Mode coverage sits in the enterprise tier. If you are a Series C SaaS company with a procurement process and a big prompt set, it is a contender. Smaller teams will likely find the tier gating and price frustrating.
Profound
LLM Pulse
LLM Pulse publishes its own SaaS-focused list and positions around brand recommendations and sentiment. Its AI Mode coverage is listed as limited, so check what that means for your use case. Pricing starts at €49/mo per KIME, which makes it attractive for small teams that mostly care about sentiment.
Otterly.AI
Otterly.AI is a cheap prompt-based tracker ($29/mo per KIME) with AI Mode available as an add-on. It is a reasonable first step if you only want to see whether you show up. You will outgrow it once you need citation depth or traffic attribution.
Otterly.AI
Nightwatch and Keyword.com
Both mix traditional rank tracking with AI features. Nightwatch lists AI Mode as an add-on on top of $39/mo, and Keyword.com starts at $4/mo and emphasizes verified results. They suit agencies and SEO teams who already live in rank-tracking tools and want AI Mode next to classic positions. They are less suited to the narrative and citation analysis a SaaS CMO will ask for.
AthenaHQ, Scrunch, Rankscale, Omnia and Gauge
Masters of Search's shortlist for AI Overviews and AI Mode trackers is Peec AI, Rankscale, Omnia, AthenaHQ, Scrunch AI and Gauge. LLM Pulse's SaaS list includes AthenaHQ, Scrunch and SE Ranking as well. These are mostly monitoring-focused. Scrunch is the one that often shows up in enterprise shortlists.
SE Ranking and seoClarity
If you want AI data from a vendor you already use, SE Ranking (via SE Visible) and seoClarity are the suite options. LLM Pulse notes SE Ranking is good for SaaS teams that want AI visibility data without adding another vendor. seoClarity starts at $2,500+/mo per KIME and is clearly an enterprise play.
For more options, the GEO software directory at bestgeosoftware.com lists a lot more tools in this category.
Which tool for which SaaS team
| Situation | Good fit |
|---|---|
| Seed to Series A, small budget, just want to see if you appear | Otterly.AI, LLM Pulse, Keyword.com |
| Lean growth team that needs to track, fix and prove impact | Promptwatch |
| Mid-market SaaS with SEO team, wants tracking next to classic rankings | Nightwatch, SE Ranking |
| Large brand with procurement and security reviews | Profound, seoClarity, Promptwatch Enterprise (ISO/IEC 27001, GDPR) |
| Agency managing several SaaS clients | Promptwatch agency plans, Rankscale |
How to set up AI Mode tracking for a SaaS brand
- Build prompts from the buying journey. Cover category ("best project management software"), use case ("tools for async engineering teams"), comparison ("X vs Y"), integrations and security. Use real sales call language.
- Add personas. A CTO and a marketing manager ask different things. Persona-level tracking shows who you are invisible to.
- Pick 3 to 5 competitors, the ones that show up in closed-lost reports.
- Track for at least a month before drawing conclusions. AI answers vary, and AI Mode citation mix moves fast (google.com went from 4.24% to 7.31% in a single month).
- Read citations, not only mentions. If competitors are cited and you are only named, the gap is content or crawlability.
- Publish tightly scoped pages. One page per question, with docs and comparison content AI can lift.
- Check crawler access. If AI bots cannot read your pages, no tracker will help. A tool with crawler logs, or the free Agentic Readiness Check, shows quickly.
- Tie it to pipeline. Use analytics to see AI-referred visits and conversions. Many B2B SaaS teams then feed this into HubSpot or Salesforce reporting.
Mistakes I see teams make
Tracking only brand mentions is the big one. A mention without a citation to your site is a rented position. Another is trusting a single run: AI answers are probabilistic, so look at trends over weeks. Finally, treating AI Mode and AI Overviews as the same thing. They cite differently, and your tracker should separate them.
If you would rather hand the whole program to specialists, 1001 SEO Media runs GEO and AI search work for brands and uses Promptwatch as its visibility platform. Otherwise, the tools above are enough to run it in-house.
Final take
Pick based on what happens after the dashboard. If you only need a pulse check, a cheap tracker like Otterly.AI or LLM Pulse will do. If you need AI Mode data tied to citations, content gaps, crawler access and conversions, start with Promptwatch's free trial and compare it with Peec AI or KIME on your own prompt set. Run the same 50 prompts through two tools for two weeks. The one whose output you actually act on is the right one.