Head-to-head · 8 MIN READ

Peec AI vs Rankscale

Peec AI vs Rankscale

The short answer

Peec AI and Rankscale are both AI visibility (GEO) trackers that monitor how a brand shows up across ChatGPT, Perplexity, Gemini, and related engines, and both were effectively built out starting in 2024. The honest split is scale and proof versus entry price and packaging. Peec AI is the better-capitalized, better-reviewed vendor on paper: roughly $29M raised across a €7M seed and a $21M Series A, $10M ARR crossed in May 2026 (reported by TechCrunch from internal dashboard data), a 70+ person team, and a deeper G2 review base at 4.9/5 (12 reviews). Rankscale is the leaner, cheaper-to-start option: exact dollar tiers from $20/mo printed on the pricing page itself, every supported engine included in the base plan with no per-model add-on fee, hourly monitoring, and built-in page-level GEO audits, but it carries a thinner G2 footprint (a single review) and no disclosed institutional funding round. Both sides have real, named gaps below rather than smoothed-over claims.

Choose Peec AI Deeper review base, disclosed funding, and the larger company behind it

If you want to vet a vendor through a deeper G2 review base (4.9/5, 12 reviews) on the review platform most US buyers check first, value disclosed institutional funding ($21M Series A plus a €7M seed) and independently reported $10M ARR as durability signals, or want a 70+ person vendor with a dedicated agency plan track, Peec AI is the safer paper trail.

Choose Rankscale Cheaper entry, everything in the base plan, and built-in page audits

If you want exact dollar pricing printed on the pricing page ($20 to $780/mo), need every supported engine included in the base plan rather than paying $35 to $165/mo per extra model, want monitoring more often than daily, or want built-in page-level GEO audits, Rankscale’s packaging and entry price outweigh its thinner G2 footprint.

At a glance

Peec AI Rankscale
Founded Team formed in Antler's Berlin Winter 2024 cohort; Peec AI dates its founding to 2025 and press to 2024; product launched Feb 2025 October 2024 project start (Austria); Rankscale GmbH incorporated July 2025
Category AI visibility and brand-sentiment tracker AI visibility tracker with page-level GEO audits
Starting price $95/mo Starter (Peec AI's own published price list, July 2026); the /pricing page itself shows tier names and features only $20/mo Essentials, printed on the pricing page
Funding ~$29M total: $21M Series A (Nov 2025) plus €7M seed; named VCs No institutional round disclosed; site frames itself as bootstrapped, with one named individual investor
Public rating 4.9/5 G2 (12 reviews, search-indexed G2 seller page; direct fetch blocked); 0 reviews Capterra 1 G2 review (insufficient); 4.6/5 OMR Reviews (26 reviews, confirmed on page)
Best for Buyers who weight funding, revenue scale, and G2 review depth Buyers who want a low entry price and every engine in the base plan

Vendor profile

Peec AI

AI visibility tracker · Berlin, Germany · team formed 2024, founded 2025

Peec AI’s founders, Marius Meiners (CEO), Tobias Siwonia (CTO), and Daniel Drabo (CRO), met in Antler’s Berlin Winter 2024 cohort, and the product launched publicly in February 2025. Note a live discrepancy worth knowing: press coverage dates the company to 2024, while Peec AI’s own published fact sheet dates the founding to 2025. The company is headquartered in Berlin (Karl-Liebknecht Str. 14) and, per that fact sheet, opened a New York City sales office in Chelsea in 2026. Peec AI raised a €7M seed in July 2025 led by 20VC, followed by a $21M (€18M) Series A in November 2025 led by Singular with Antler, Combination VC, identity.vc, and S20 participating, at a valuation reported above $100M, for roughly $29M raised to date. Team size was about 20 people at the time of the Series A and the vendor now states 70+ people across Berlin and New York. Peec AI reports 3,000+ marketing teams, brands, and agencies as customers (its May 2026 press release said “more than 2500,” so treat the count as vendor-claimed and moving), and TechCrunch reported in May 2026 that it had crossed $10M in annualized revenue based on internal dashboard data it reviewed; the roughly 300-new-customers-per-month figure comes from November 2025 coverage. Named customers include Zalando, Attio, Squarespace, Brevo, Hugo Boss, TUI, Wix, Fielmann, n8n, ElevenLabs, Chanel, and Axel Springer, plus agency customers Seer Interactive, Previsible, Peak Ace, Eskimoz, Omniscient, Kinesso, and Mindshare; DEPT and Monks appear in its public agency partner directory.

Vendor
Peec AI (peec.ai)
Founded
Team formed in Antler’s Winter 2024 cohort (Marius Meiners, Tobias Siwonia, Daniel Drabo); vendor dates founding to 2025, press to 2024; launched Feb 2025
HQ
Berlin, Germany (Karl-Liebknecht Str. 14); NYC (Chelsea) sales office opened 2026
Funding
~$29M total: $21M (€18M) Series A (Nov 2025, Singular-led) plus €7M seed (July 2025, 20VC-led); valuation reported above $100M
Team size
~20 at Series A (Nov 2025); 70+ across Berlin and New York per the vendor’s July 2026 fact sheet
Public rating
G2 4.9/5 (12 reviews, per the search-indexed G2 seller page; direct fetch blocked); Capterra 0 reviews

Rankscale

AI visibility tracker + GEO audits · Austria · project started October 2024

Rankscale’s own corporate timeline puts the project start in October 2024, an Early Access beta in January 2025, and the official launch plus incorporation of Rankscale GmbH in July 2025. Founder Mathias Ptacek (CEO) went full-time in April 2025 and is joined by co-founder Patrick Schmid (CMO) and Sascha Rehbock (CTO). On location, the site footer reads “made with precision in Vienna” while the company’s own facts page lists the registered office as Kirchengasse 36/1, A-3433 Königstetten, Austria (Tulln district, outside Vienna), so treat “Vienna” as the marketing location rather than the registered one. No institutional funding round was identified; the company frames itself as bootstrapped, though its team page does list one named individual investor, Lars Koppenhoefer. Team size is described on the homepage timeline only as having “tripled the team size” by January 2026; the public team page lists seven named people, so the true headcount is small and unconfirmed. Rankscale’s homepage carries two different traction numbers on the same page, a “trusted by 1000+ active users” badge and a “2000+ Active Users” stat, which is a vendor-claimed figure and an internal inconsistency worth asking about. Named customers include Bosch, Iberdrola, O2, Otto GmbH, StepStone, UBS, and Cartier among brands, plus agencies Coalition Technologies, Dentsu, Publicis Sapient, and WPP Media, and publishers APA, Frankfurter Allgemeine, and Webedia, all vendor-listed logos we could confirm on the homepage but not independently corroborate via named case studies.

Vendor
Rankscale (rankscale.ai)
Founded
October 2024 project start (Mathias Ptacek); Rankscale GmbH incorporated July 2025
HQ
Austria: registered office Königstetten (per the vendor’s facts page); site footer says Vienna
Funding
No institutional round disclosed; framed as bootstrapped, with one named individual investor (Lars Koppenhoefer) on the team page
Team size
Homepage timeline says team “tripled” by January 2026; team page lists 7 named people; exact headcount unconfirmed
Public rating
G2: 1 review (insufficient); best available labeled rating is OMR Reviews at 4.6/5 (26 verified reviews, confirmed on page)

Pricing: what you'll actually pay

Rankscale prints its dollar tiers directly on its pricing page. Peec AI’s /pricing page renders tier names and feature counts, with the dollar amounts loading dynamically (they were not captured on our fetch), but Peec AI does publish an exact price list on its own fact sheet at peec.ai/ai-instructions, stated there as confirmed live in July 2026. The figures below use that vendor-published list, and the honest caveat is that they are one click removed from the page most buyers land on, so re-confirm in your own browser before you budget. Peec AI also runs a second, separate agency price track, which Rankscale folds into its Growth tier instead.

Peec AI Rankscale
Starting price $95/mo (Starter: 50 prompts, choose 3 models, 1 project, 1 country, daily tracking, unlimited users) $20/mo (Essentials)
Mid tier $245/mo (Pro: 150 prompts, choose 3 models, 2 projects, 3 countries) $99/mo (Pro: 1,200 credits/mo, up to 4,800 AI responses, 10 brand dashboards, 50 free page audits)
Agency-facing tier $495/mo (Advanced: 350 prompts, 5 projects, multi-country, Looker Studio) or the separate agency track from $245/mo (Essential) to $795/mo (Scale) $385/mo (Growth, “Agency’s Choice”: 5,500 credits/mo, up to 22,000 AI responses, 50 dashboards, white-label plus REST API)
Top tier Enterprise, custom and demo-gated (unlimited prompts/projects, all models incl. Claude Sonnet 4, GPT-5 Search, DeepSeek, Qwen, Mistral, plus API and SSO) $780/mo (Enterprise: 12,000 credits/mo, up to 48,000 AI responses, 100 dashboards, dedicated partner support)
Cost of extra engines Add-on per extra model: +$35/mo (Starter), +$85/mo (Pro), +$165/mo (Advanced) None; full engine list included from the entry-level plan
Billing structure Brand tiers priced by prompt quota, model count (3 on every tier), and project count; agency tiers priced in credits (1 prompt x 1 model x 1 day = 1 credit); annual billing saves ~15% Credit-based; typically ~0.25 credits per engine per prompt; annual billing saves 15%
Unused-credit handling Brand tiers are quota-based; agency credits are an ongoing allocation the vendor says does not reset monthly Unused credits roll over up to a 2-3x multiplier
Setup fee / minimum contract Not published in available materials None stated

Capability comparison

Both tools do the same core job: track how a brand and its competitors show up across AI answer engines. The gaps show up in whether extra engines are bundled or charged as add-ons, whether prompt volume is shown as raw numbers or a color bar, whether page-level content audits are built in, and how often each tool refreshes. Rankscale wins on bundled engine access, monitoring cadence, and built-in audits; Peec AI wins on funding, reported revenue scale, and review depth.

Service Peec AI Rankscale
Named engines tracked 13 named: 6 in every plan (ChatGPT, Perplexity, Gemini, Google AI Mode, AI Overviews, Copilot) plus 7 paid add-on models (OpenAI Search API, Claude Sonnet, Claude Haiku, DeepSeek, Qwen, Grok, Mistral) 17+ claimed; the vendor’s facts page enumerates 7 AI search interfaces plus 13 model engines, incl. DeepSeek, Grok, Mistral, Claude, GPT-5
Extra engines bundled or charged Charged: extra models cost +$35/mo (Starter), +$85/mo (Pro), +$165/mo (Advanced); all models on Enterprise Bundled: the facts page states full engine access is included in the entry-level configuration
Monitoring cadence Daily (weekly on higher agency tiers) Hourly to monthly, 8 schedules, plus bi-hourly/bi-daily/bi-weekly options
Prompt-volume detail Partial (1-5 color-coded bar only; no raw numbers) Partial (prompt research module estimates volume by semantic reconstruction; raw-number granularity not detailed)
Competitor benchmarking ✓ (competitor analysis plus competitor grouping)
Sentiment analysis ✓ (position/sentiment tracking, 0-100 sentiment score) ✓ (dedicated sentiment analysis module)
Page-level GEO/content audits ✕ (no page-level audit score; ships prioritized recommendations sorted into on-site fixes, editorial, reference sites, and UGC) ✓ (page audits; homepage claims 200+ factors, the facts page describes Page Audit V2 in beta at 90+ checks, so ask which figure applies)
Traffic/revenue attribution Not published in available materials ✕ (named reviewer gap: no traffic/revenue attribution)
Client-ready reporting export Partial (Looker Studio from Advanced/agency Growth up, API on Enterprise/Comprehensive, CSV export) Partial (Looker Studio, MCP, REST API, CSV/Sheets; named reviewers cite a client-ready export gap)
Multi-country coverage ✓ (1/3/3 countries per project by tier, unlimited on Enterprise; claims dedicated infrastructure in 80+ countries) ✓ (claims coverage across 240+ countries/regions and all languages)
White-label reporting Not published in available materials ✓ (Growth tier and above)
Named enterprise/agency logos ✓ (Zalando, Hugo Boss, TUI, Wix, Fielmann, Squarespace, Chanel, Axel Springer; agencies Seer Interactive, Peak Ace, Mindshare, Kinesso) ✓ (Bosch, UBS, Cartier, Iberdrola, O2, Otto, StepStone; agencies Dentsu, Publicis Sapient, WPP Media, Coalition Technologies)

Decision matrix - who fits which side

Criterion Peec AI Rankscale
Want a deep, easy-to-vet review base on G2
Want exact prices printed on the pricing page itself
Want every supported engine included in the base plan, no per-model add-on fee
Need a well-capitalized, VC-backed vendor as a durability signal
Want built-in page-level GEO/content audits
Need independently reported revenue scale (ARR) rather than a vendor-claimed user count
Want the lowest possible entry price
Need white-label reporting for agency/client work ?
Want the broadest named-customer roster across consumer, B2B, and agency segments ~
Need monitoring more frequent than once a day
Want a larger team behind the product

Check = clear edge. Tilde = capable but not the stronger pick. Cross = outside the model. Question mark = not disclosed in the vendor’s public materials.

Strengths & tradeoffs

Both tools do the core job of AI visibility tracking competently. The real differences are funding, scale, and review depth versus entry price, packaging, and refresh rate, and each side wins rows the other does not.

Axis Peec AI Rankscale
Review base and vetting 12 reviews at 4.9/5 on G2 (US-standard platform); Capterra shows 0 reviews Only 1 G2 review; best available signal is OMR Reviews at 4.6/5 (26 reviews, German platform), which also awarded it Top Rated GEO for Q3/26
Funding and durability Disclosed $21M Series A (Nov 2025) plus €7M seed, named VCs (Singular, Antler, 20VC), valuation reported above $100M, ~$29M total No institutional round disclosed; framed as bootstrapped with one named individual investor, a durability question mark for some buyers
Pricing $95/$245/$495 plus custom Enterprise for brands and $245/$495/$795 for agencies, published on the vendor’s own fact sheet; the /pricing page itself renders prices dynamically $20/$99/$385/$780 printed directly on the pricing page with credit and response quotas spelled out
Engine packaging 6 engines in every plan; 7 more (Claude Sonnet and Haiku, DeepSeek, Qwen, Grok, Mistral, OpenAI Search API) cost $35 to $165/mo each as add-ons 17+ claimed and 20 systems enumerated on its facts page, with the full engine list included from the entry plan
Monitoring cadence Daily on brand tiers, weekly available on higher agency tiers Hourly to monthly, 8 schedules, plus bi-hourly and bi-daily options
Prompt-volume detail Only a 1-5 color bar, criticized by two named reviewers as insufficient for prioritization Prompt research module included, though raw-number granularity is not detailed in available sources
Page-level audits Not offered as an audit score; reviewers describe it as “just a measurement tool” Page audits built into the core product, though the vendor’s own figures differ (homepage says 200+ factors, facts page says Page Audit V2 beta at 90+ checks)
Reported scale $10M ARR crossed May 2026 (TechCrunch, from internal dashboard data), 3,000+ customers vendor-claimed, 70+ staff “1000+ active users” badge and a “2000+ Active Users” stat on the same homepage, vendor-claimed and internally inconsistent; 7 named staff on the team page
Named customers Zalando, Hugo Boss, TUI, Wix, Squarespace, Chanel, Axel Springer, n8n, ElevenLabs; agencies Seer Interactive, Peak Ace, Mindshare Bosch, UBS, Cartier, Iberdrola, O2, Otto, StepStone; agencies Dentsu, Publicis Sapient, WPP Media
Reporting and export Looker Studio (Advanced and agency Growth up), API on Enterprise/Comprehensive, CSV export Looker Studio, MCP, REST API, CSV and Sheets; named reviewers report a client-ready reporting gap
Cost predictability Brand tiers are quota-based; agency tiers use credits that the vendor says carry over rather than reset Credit-based billing a named reviewer says can hit limits quickly (“you quickly reach your analysis and evaluation limits”), offset by 2-3x rollover
Company age Team formed in Antler’s Winter 2024 cohort, product launched February 2025 (vendor dates the founding to 2025, press to 2024) October 2024 project start, Early Access January 2025, official launch and GmbH incorporation July 2025

Ratings & track record

Metric Peec AI Rankscale
G2 rating (as reported) 4.9/5 Insufficient (1 review)
G2 review count 12 1
Best available third-party rating G2, 4.9/5 (12 reviews) OMR Reviews, 4.6/5 (26 reviews, confirmed on page)
Capterra 0.0 from 0 reviews (page confirmed live) Described by third-party aggregators as sparse; no review count confirmed
Company timeline Team formed 2024, product launched February 2025 October 2024 project start, GmbH incorporated July 2025
Funding disclosed ~$29M: $21M Series A plus €7M seed No institutional round (framed as bootstrapped, one named individual investor)
Notable signal Zalando, Hugo Boss, Chanel, Squarespace among named customers; $10M ARR reported by TechCrunch May 2026 Bosch, UBS, Cartier among named customers; full engine list bundled from the entry plan

Both vendors’ G2 pages returned a bot-blocked response on direct fetch, so the G2 figures above come from the search-indexed G2 seller page rather than a first-hand page load; re-check both live before treating either as final. Peec AI’s own site footer also advertises the same 4.9/5 G2 figure. Rankscale’s OMR Reviews rating of 4.6/5 from 26 reviews we did confirm directly on the OMR product page, where Rankscale also carries an OMR Top Rated GEO badge for Q3/26. Peec AI’s 12-review G2 base is thin by mainstream SaaS standards but still the deeper of the two, while Rankscale’s single G2 review is not enough to draw a conclusion from, which is why OMR Reviews, a German B2B platform outside the usual US-centric G2/Capterra pair, is the more useful signal for Rankscale specifically. Given how young this category is, with both vendors effectively built out starting in 2024, a thin review base on either side reflects the category’s age more than a product red flag by itself. For a wider view of the category, see our roundup of the best AI visibility tools .


Both tools’ data is sourced from publicly available information as of July 2026. Direct G2 and Capterra page fetches were bot-blocked (HTTP 403) at write time; G2 ratings above come from the search-indexed G2 seller page and should be manually re-checked live before relying on them, while the OMR figure was confirmed on page. Peec AI’s /pricing page renders its dollar amounts dynamically, so the prices quoted here come from Peec AI’s own published fact sheet at peec.ai/ai-instructions (stated as confirmed live in July 2026) and should be re-confirmed in a browser. Vendor-claimed customer counts on both sides are not independently audited. This comparison is independent; we take no affiliate or referral fees from either vendor.

Frequently asked questions

What is the difference between Peec AI and Rankscale?
Peec AI is a Berlin-based AI visibility tracker with disclosed venture funding (~$29M across a €7M seed and a $21M Series A), $10M ARR reported by TechCrunch in May 2026, a 70+ person team, and a deeper G2 review base (4.9/5, 12 reviews). Rankscale is an Austria-registered tracker with no disclosed institutional round and a single G2 review, but a $20/mo entry price printed on its pricing page, every supported engine included in the base plan instead of charged as an add-on, hourly monitoring, and built-in page-level GEO audits Peec AI does not offer.
Is Peec AI better than Rankscale?
Neither is better in the abstract. Peec AI is the stronger pick if you weight a deeper, easier-to-vet G2 review base, disclosed institutional funding, and reported revenue scale as durability signals. Rankscale is the stronger pick if you want a low entry price, every engine bundled into the base plan, more frequent monitoring, or built-in page-level content audits. The right answer depends on whether you prioritize vendor proof points or packaging and entry cost.
Which is cheaper, Peec AI or Rankscale?
Rankscale is cheaper to start: $20/mo Essentials up to $780/mo Enterprise, printed on its pricing page. Peec AI’s published price list (on its own fact sheet, stated as confirmed live in July 2026) runs $95 Starter, $245 Pro, $495 Advanced, and custom Enterprise for brands, plus a separate agency track at $245, $495, and $795. Peec AI also charges $35 to $165/mo per additional tracked model, where Rankscale bundles its full engine list from the entry plan, so the gap widens once you add engines. Peec AI’s own /pricing page renders those dollar amounts dynamically, so re-confirm in a browser before you budget.
Which AI engines does each tool track?
Peec AI includes six engines on every plan (ChatGPT, Perplexity, Gemini, Google AI Mode, Google AI Overviews, Microsoft Copilot) and sells seven more as paid add-on models (OpenAI Search API, Claude Sonnet, Claude Haiku, DeepSeek, Qwen, Grok, Mistral). Rankscale claims 17+ generative engines and its facts page enumerates seven AI search interfaces plus 13 model engines, including DeepSeek, Grok, Mistral, Claude, and GPT-5, all included from the entry plan. The practical difference is packaging more than raw coverage.
Which tool has the better rating?
On the platform most US buyers check first, Peec AI’s 4.9/5 from 12 G2 reviews is the more usable signal, since Rankscale has only 1 G2 review on file, too thin for a reliable average. Rankscale’s strongest verified rating instead comes from OMR Reviews, a German B2B software platform, at 4.6/5 from 26 reviews, which we confirmed on the page. The G2 figures could not be confirmed via a first-hand page load (G2 returns a bot-blocked response) and come from the search-indexed G2 seller page, so re-check them live. Peec AI shows 0 reviews on Capterra and Rankscale’s Capterra presence is described by third-party aggregators as sparse, so validation outside each vendor’s strongest platform is thin on both sides.
Where can I find more options beyond Peec AI and Rankscale?
For a wider view of the category, see our roundup of the best AI visibility tools . If Peec AI doesn’t fit, see our Peec AI alternatives list; if Rankscale doesn’t fit, see our Rankscale alternatives list.

Sources and references

  1. Peec AI homepage (accessed July 2026)
  2. Peec AI pricing (brands) (accessed July 2026)
  3. Peec AI pricing (agencies) (accessed July 2026)
  4. Peec AI published fact sheet (prices, engines, team, customers) (accessed July 2026)
  5. Peec AI G2 seller page (4.9/5, 12 reviews) (accessed July 2026)
  6. G2: Peec AI reviews (accessed July 2026)
  7. Capterra: Peec AI (0.0, 0 reviews) (accessed July 2026)
  8. TechCrunch: Peec AI raises $21M Series A (accessed July 2026)
  9. TechCrunch: Peec more than doubled annualized revenue to $10M (accessed July 2026)
  10. GlobeNewswire via Manila Times: Peec AI hits $10M ARR (May 2026) (accessed July 2026)
  11. EU-Startups: Peec AI funding coverage (accessed July 2026)
  12. tryprofound.com: Peec AI review (reviewer quotes) (accessed July 2026)
  13. Rankscale homepage (accessed July 2026)
  14. Rankscale pricing (accessed July 2026)
  15. Rankscale facts and entity page (HQ, timeline, engine list) (accessed July 2026)
  16. Rankscale team page (accessed July 2026)
  17. G2: Rankscale reviews (1 review) (accessed July 2026)
  18. OMR Reviews: Rankscale.ai (4.6/5, 26 reviews) (accessed July 2026)
  19. checkthat.ai: Rankscale review aggregation (OMR quotes) (accessed July 2026)
Ranjeeth Kumar
Written by Ranjeeth Kumar SEO Manager at PipeRocket

Ranjeeth is a B2B SEO specialist focused on building organic growth engines for SaaS companies. As Manager at PipeRocket Digital, he leads SEO strategy across content, technical, and keyword research — helping clients capture high-intent demand and turn organic traffic into measurable pipeline. With a deep understanding of how SaaS buyers search and convert, Ranjeeth builds scalable SEO programs that compound over time.

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Kamaraj Mathiarasan (Kim)
Reviewed by Kamaraj Mathiarasan (Kim) Co-Founder, PipeRocket Digital

Kim is a dedicated SEO expert with over 15 years of experience helping B2B SaaS companies scale their organic presence. As Co-Founder of PipeRocket Digital, he focuses on high-impact SEO strategies, comprehensive content marketing, and revenue-focused optimization. Passionate about driving measurable growth, he builds scalable systems that turn organic traffic into meaningful pipeline.

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