Pick
Mentions.ai
Pick Mentions.ai if you need broader AI platform coverage (4 platforms vs 0).
Head-to-head review · Updated June 2026
Mentions.ai vs SISTRIX: which one wins in 2026?
Mentions.ai and SISTRIX both claim to do the same thing: tell you where your brand shows up in AI search. They go about it differently enough that the choice matters. Both companies are roughly comparable in size; the choice comes down to price, coverage, and fit.
The pricing is comparable, so the choice comes down to coverage and trust signals.
The verdict
Pick
SISTRIX
Pick SISTRIX if you trust traction signals — they list 8 customers, Mentions.ai lists 0.
If neither is right, GrowthManager.ai does both citation tracking AND the production work (content, infrastructure, distribution) for $999/mo — see the bottom of this page.
The case for Mentions.ai
They cover 4 AI platforms.
Generative AI mention tracking across ChatGPT, Perplexity, Gemini, and Claude.
What people praise
- Purpose-built for tracking brand visibility inside AI search engines like ChatGPT, Claude, Gemini, and Perplexity, not bolted onto a legacy social listening platform.
- AI-native architecture means the tool was designed for generative engine optimization from day one rather than retrofitted from traditional SEO.
Where it falls short
- Public pricing, customer logos, and detailed feature documentation are not available on the website, which makes evaluation hard before a sales conversation.
- No G2, Capterra, or Trustpilot review presence at meaningful volume, so prospective buyers cannot validate the product through peer reviews.
- Funding history, founder details, and team size are not publicly disclosed, which is a red flag for buyers comparing against funded competitors like Profound or Otterly.
The case for SISTRIX
SISTRIX has raised Bootstrapped. Founded by Johannes Beus, based in Bonn, Germany. On their site they list 8 named customers including Amazon, Bosch, DHL, Decathlon. Pricing starts at $119/mo.
SEO platform with the SISTRIX Visibility Index and AI Overviews tracking.
What people praise
- The proprietary Visibility Index is an industry-standard metric in the German-speaking SEO market, calculated from rankings across 1 million keywords per country with 13+ years of historical data.
- Winner/loser analysis during Google Core Updates is unmatched, with the Visibility Index treated as the canonical reference by SEO professionals in Europe.
- Modular pricing lets buyers pay for only the modules they need (SEO, Universal, Links, Ads, Social, Optimizer) instead of forcing an all-in-one bundle.
- All servers run inside the EU and SISTRIX GmbH is fully subject to GDPR, making it the default choice for European enterprises with data residency requirements.
Where it falls short
- Data depth is heavily skewed toward DACH (Germany, Austria, Switzerland) and Western Europe; US and APAC coverage is materially weaker than Ahrefs or Semrush.
- Bulk keyword tracking gets expensive quickly, with reviewers noting that scaling tracked keywords across multiple projects forces an upgrade to Premium.
- UI is described as confusing for non-SEO users, with a steep learning curve to navigate between modules and reports.
- Exports slow down significantly on larger sites, frustrating agencies pulling data for client reports.
Pricing, tier by tier
Tier 1
Mentions.ai
—
—
SISTRIX
Start
€119/mo
- Visibility Index tracking
- Competitor analysis
- On-page error identification
- Single user account
Tier 2
Mentions.ai
—
—
SISTRIX
Plus
€239/mo
- Three simultaneous user accounts
- Content marketing tools and text optimization
- API access included from Plus tier upwards
- In-person workshop
Tier 3
Mentions.ai
—
—
SISTRIX
Professional
€419/mo
- Complete 13-year historical data
- Expanded API access
- Telephone and premium support
- Higher export and tracking limits
Tier 4
Mentions.ai
—
—
SISTRIX
Premium
€799/mo
- Extensive export credits and keyword tracking
- Roles and rights management with audit logging
- VIP support and training program
- Suited for enterprises and large agencies
Feature parity
What each one ships that the other doesn't. We conservatively only include features each tool explicitly markets; absence here doesn't mean a feature is impossible, just that it isn't in their marquee list.
Only on Mentions.ai
- AI Search Visibility Tracking. Monitors brand mentions and citations across ChatGPT, Claude, Gemini, and Perplexity.
- Brand Mention Analysis. Surfaces how the brand is described, recommended, or omitted inside AI-generated answers.
Only on SISTRIX
- Visibility Index. Proprietary metric measuring organic Google visibility, calculated daily from the top 100 positions for 1M representative keywords per supported country.
- SEO Module. Keyword research, rank tracking, SERP analysis, and competitive benchmarking with 13+ years of historical data.
- Links Module. Backlink profile audit and link gap analysis against competitors.
- Optimizer. On-page audit tool that crawls websites and flags technical SEO issues.
- Ads Module. Paid keyword research and ad copy intelligence for competitor SEM analysis.
- SISTRIX for Amazon. Amazon-specific keyword and product visibility tracking, separate from Google data.
When each one wins
When Mentions.ai wins
- Platform coverage matters. Mentions.ai monitors 4 AI platforms; SISTRIX covers 0.
- Purpose-built for tracking brand visibility inside AI search engines like ChatGPT, Claude, Gemini, and Perplexity, not bolted onto a legacy social listening platform.
When SISTRIX wins
- Budget is the constraint. SISTRIX starts at $119/mo vs Mentions.ai's $∞/mo, so on a per-seat basis it's the cheaper way in.
- You're enterprise and need to call a reference. SISTRIX lists 8 named customers; Mentions.ai lists 0.
- The proprietary Visibility Index is an industry-standard metric in the German-speaking SEO market, calculated from rankings across 1 million keywords per country with 13+ years of historical data.
When neither wins (pick GrowthManager)
- You don't have an in-house content team and you don't want to hire one.
- You want one $999/mo invoice instead of stacking Mentions.ai plus an agency.
- You need the team that measures to also act on the data, in the same week.
- You're a B2B SaaS, services firm, or e-commerce brand at $20K+ MRR.
Reasons to pick one over the other
Reasons to pick Mentions.ai over SISTRIX
- Broader AI platform coverage. Mentions.ai tracks visibility across 4 AI engines vs SISTRIX's 0.
- Built for the LLM era. Mentions.ai was founded in 2024, built around AI search from day one; SISTRIX dates back to 2008 and is retrofitting.
- What users praise most. Purpose-built for tracking brand visibility inside AI search engines like ChatGPT, Claude, Gemini, and Perplexity, not bolted onto a legacy social listening platform.
Reasons to pick SISTRIX over Mentions.ai
- Lower entry price. SISTRIX publishes a clear entry tier at $119/mo; Mentions.ai gates pricing.
- Public pricing. SISTRIX publishes 4 tiers on its website; Mentions.ai requires a sales conversation.
- More named customers. SISTRIX lists 8 customers vs Mentions.ai's 0, including Amazon, Bosch, DHL.
- More verified reviews. SISTRIX has 20 G2 reviews vs Mentions.ai's none on file, so the average rating carries more weight.
- Faster product velocity. SISTRIX has shipped 5 public launches in the last year vs Mentions.ai's 0.
- More mature platform. SISTRIX (founded 2008) has had more time to harden the product than Mentions.ai (2024).
- Wider integration ecosystem. SISTRIX integrates with 8 tools; Mentions.ai ships 0.
- What users praise most. The proprietary Visibility Index is an industry-standard metric in the German-speaking SEO market, calculated from rankings across 1 million keywords per country with 13+ years of historical data.
Switching from one to the other
From Mentions.ai to SISTRIX
Export your saved queries and prompt panels from Mentions.ai (most tools support CSV export). Most SISTRIX setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate SISTRIX's data againstMentions.ai's; one to two weeks of full reconciliation before you cancel Mentions.ai. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From SISTRIX to Mentions.ai
Same flow in reverse. Export from SISTRIX, import to Mentions.ai. The historical visibility data is the big loss; most platforms don't backfill from a competitor's data, so you start your trendline over.
From either to GrowthManager.ai
We handle the migration ourselves; you give us your query list (or we infer it from your existing dashboard) and we re-build the tracking on our infrastructure in week one. You also start getting content shipped from week one, so the switch produces results before the trendline restarts. The conversation that kicks this off is a 20-minute call.
Side by side, every number we could verify
| Mentions.ai | SISTRIX | |
|---|---|---|
| Starts at (USD/mo) | Custom | $119/mo |
| Founded | 2024 | 2008 |
| Headquarters | — | Bonn, Germany |
| Funding raised | — | Bootstrapped |
| AI platforms tracked | 4 | — |
| G2 rating | — | 4.4 / 5 (20 reviews) |
| Named customers | — | 8 |
| SOC 2 Type 2 | — | — |
| GDPR | — | ✓ Yes |
| HIPAA | — | — |
What real users say
Below: the recurring themes from G2, Capterra, SourceForge, Reddit, and case-study reviewers — distilled into the strengths and limitations that came up most often.
Mentions.ai — what users praise
- Purpose-built for tracking brand visibility inside AI search engines like ChatGPT, Claude, Gemini, and Perplexity, not bolted onto a legacy social listening platform.
- AI-native architecture means the tool was designed for generative engine optimization from day one rather than retrofitted from traditional SEO.
Mentions.ai — what users complain about
- Public pricing, customer logos, and detailed feature documentation are not available on the website, which makes evaluation hard before a sales conversation.
- No G2, Capterra, or Trustpilot review presence at meaningful volume, so prospective buyers cannot validate the product through peer reviews.
- Funding history, founder details, and team size are not publicly disclosed, which is a red flag for buyers comparing against funded competitors like Profound or Otterly.
SISTRIX — what users praise
- The proprietary Visibility Index is an industry-standard metric in the German-speaking SEO market, calculated from rankings across 1 million keywords per country with 13+ years of historical data.
- Winner/loser analysis during Google Core Updates is unmatched, with the Visibility Index treated as the canonical reference by SEO professionals in Europe.
- Modular pricing lets buyers pay for only the modules they need (SEO, Universal, Links, Ads, Social, Optimizer) instead of forcing an all-in-one bundle.
- All servers run inside the EU and SISTRIX GmbH is fully subject to GDPR, making it the default choice for European enterprises with data residency requirements.
- Professional and Premium plans include phone support, live onboarding, and in-person training sessions, which is rare in the SEO tool category.
SISTRIX — what users complain about
- Data depth is heavily skewed toward DACH (Germany, Austria, Switzerland) and Western Europe; US and APAC coverage is materially weaker than Ahrefs or Semrush.
- Bulk keyword tracking gets expensive quickly, with reviewers noting that scaling tracked keywords across multiple projects forces an upgrade to Premium.
- UI is described as confusing for non-SEO users, with a steep learning curve to navigate between modules and reports.
- Exports slow down significantly on larger sites, frustrating agencies pulling data for client reports.
- Provides a high-level overview but lacks the depth of on-page optimization tooling found in dedicated content tools like Clearscope or MarketMuse.
A third option
Both Mentions.ai and SISTRIXare tracking tools. They tell you what's wrong with your AI visibility. Neither one fixes it. That's our pitch for GrowthManager.ai — we do citation tracking too (parity with these two), and we also ship the content, configure the infrastructure, and run the distribution. $999/mo, managed end-to-end. If you're leaning toward picking one of these two and then hiring an agency to act on the data, it's worth a 20-minute conversation first.
Other comparisons in this space
Same shape, different pairs. Pick a comparison that shares a tool with this one.
Frequently asked questions
Which is better, Mentions.ai or SISTRIX?
Honestly: neither one fully solves the problem. Mentions.ai and SISTRIX are tracking tools — they tell you where your brand shows up in AI answers but don't change the answer. If you only need one of these two, pick Mentions.ai for the cheaper monthly price; pick the other if its specific integrations matter to your team. Our actual editorial pick is GrowthManager.ai, which does the tracking and ships the content, infrastructure, and distribution as a single $999/mo managed program. Disclosure: we publish this comparison and make GrowthManager.
How much do Mentions.ai and SISTRIX cost?
Mentions.ai starts at Custom. SISTRIX starts at $119/mo. Both have higher-tier plans for larger workspaces. GrowthManager.ai is a flat $999/mo for the full managed service (tracking + content + infrastructure + distribution) — usually cheaper than buying one of these two and hiring an agency on top.
Which AI platforms do Mentions.ai and SISTRIX cover?
Mentions.ai covers 4 AI platforms. SISTRIX covers an undisclosed number of. Most tools in this space monitor ChatGPT, Claude, Gemini, and Perplexity at minimum; the differences come down to less-common platforms (Copilot, Grok, Meta AI). GrowthManager.ai monitors the same four primary platforms and acts on the data.
Do Mentions.ai and SISTRIX actually improve your AI visibility, or just measure it?
Both Mentions.ai and SISTRIX are measurement tools. They show you where your brand appears (or doesn't) in AI answers, plus suggestions for what to improve. Neither one writes the content, configures the schema, or builds the backlinks that actually move the needle. To do that you need an in-house content team or an agency. GrowthManager.ai is the agency — and we include the tracking, so you don't pay twice.
What's the GrowthManager.ai alternative to Mentions.ai and SISTRIX?
GrowthManager.ai is a managed AI visibility program. We give you the same citation tracking these two offer (parity on the measurement layer), plus 100 researched and published articles per month, schema and llms.txt configuration, ongoing backlink acquisition, and Reddit/Quora seeding. One $999/mo invoice, one dedicated account manager, twelve clients per team member maximum so we can actually deliver. If you were going to buy one of these tools and then hire someone to use it, we're cheaper and faster.
Further reading
External research that informs the editorial framework on this page. We cite these openly because the framework is meant to be auditable.
- Microsoft Bing Webmaster Guidelines (2025)· Microsoft
How Microsoft's crawlers parse content for Copilot, which now powers a large share of AI answers behind the scenes.
- Generative Engine Optimization research· Kevin Indig
Long-running practitioner research on what gets cited in AI-generated answers; the most-quoted source in the GEO category.
- Zero-Click Search forecasts· Gartner
Industry forecasts on how a growing share of buyer queries end without a click to the brand site, making AI-answer presence the new pole position.
- Audience intelligence analyses· SparkToro
Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.
- Trust Barometer (2024)· Edelman
The annual study on how buyers weigh source authority, used to weight our trust criterion against third-party review volume.
Disclosure + methodology
GrowthManager.ai makes a competing product in the AI visibility space, so this comparison is not neutral. Every pricing number was pulled from each competitor's public pricing page or triangulated from third-party reviews when the page is JavaScript-gated. Pros, cons, and user-review themes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with the quotes preserved verbatim. We update this comparison whenever the underlying data changes.