Pick
Mangools
Pick Mangools if you want the cheaper option ($45/mo vs $0/mo); and you need broader AI platform coverage (4 platforms vs 0); and you trust traction signals — they list 5 customers, Vexa lists 0.
Head-to-head review · Updated June 2026
Mangools vs Vexa: which one wins in 2026?
Mangools and Vexa 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.
Vexa is cheaper out the gate, but Mangools tracks more AI platforms. The right pick depends on which dimension matters most for you.
The verdict
Pick
Vexa
Pick Vexa if you want the cheaper option ($0/mo vs $45/mo).
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 Mangools
Founded by Peter Hrbacik, based in Bratislava, Slovakia. On their site they list 5 named customers including Airbnb, Adidas, Home Depot, Skyscanner. They cover 4 AI platforms. Pricing starts at $45/mo.
Beginner-friendly SEO toolset built around KWFinder, SERPChecker, and LinkMiner.
What people praise
- Bundles five separate SEO tools (KWFinder, SERPChecker, SERPWatcher, LinkMiner, SiteProfiler) under one subscription
- Pricing is roughly 1/3 the cost of Ahrefs or Semrush at the entry tier
- KWFinder is widely praised for long-tail keyword discovery, often surfaces ideas Ahrefs misses
- Clean, beginner-friendly UI with a consistent design across all five tools
Where it falls short
- Five tools have separate URLs and dashboards, switching between them disrupts workflow
- LinkMiner backlink database is materially smaller than Ahrefs or Majestic
- Lacks technical SEO audit and on-page recommendation tools
- API access is limited to Agency tier and capped by plan-based rate limits
The case for Vexa
Founded by Dmitry Grankin. Pricing starts at $0/mo.
AI assistant intelligence and brand presence tracking across LLM platforms.
What people praise
- Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
- Up to 40% cheaper than Recall.ai ($0.30/hr versus ~$0.50/hr bot rate), the most-cited paid alternative.
- Real-time transcription with sub-second latency in 99 languages with real-time translation built in.
- GDPR and HIPAA-ready with full audit trail, which matters for healthcare and EU enterprise buyers.
Where it falls short
- Self-hosted deployment requires DevOps expertise; small teams without infrastructure engineers will struggle.
- Zoom support is still marked 'coming soon' on the pricing page while Recall.ai already supports it.
- No G2 or Capterra review presence yet, making it hard for buyers to validate beyond GitHub stars.
- Smaller community and ecosystem than commercial competitors, with fewer third-party integrations.
Pricing, tier by tier
Tier 1
Mangools
Basic
$44.90/mo
- KWFinder keyword research
- SERPChecker SERP analysis
- SERPWatcher rank tracking
- LinkMiner backlinks
Vexa
Self-Hosted (Free)
$0/mo
- Full open-source platform
- Self-hosted on your infrastructure
- Complete data sovereignty
- Transcription only $0.002/min for self-hosted bots
Tier 2
Mangools
Premium
$89.90/mo
- All five tools
- Higher daily search limits
- More tracked keywords
- More backlink lookups
Vexa
Individual
$12/mo
- 1 concurrent bot
- Real-time transcription
- 12-month audio storage
- Web dashboard access
Tier 3
Mangools
Agency
$129/mo
- Highest search limits
- Multi-user team access
- API access
- Largest tracked keyword volumes
Vexa
Pay-as-you-go
$0.30/hr bot + $0.20/hr transcription
- Unlimited concurrent bots
- $5 free credit for new accounts (~16 hours)
- All features available
- Webhooks and API access
Tier 4
Mangools
—
—
Vexa
Enterprise
Custom
- On-premises deployment
- Dedicated support and SLA
- Custom integrations
- Audit trail and compliance documentation
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 Mangools
- KWFinder. Keyword research with monthly search volume, keyword difficulty, CPC, and SERP analysis
- SERPChecker. SERP analysis tool showing top 10 results with 45+ SEO metrics
- SERPWatcher. Rank tracking with daily updates and dominance score
- LinkMiner. Backlink analysis with Citation Flow, Trust Flow, and link strength scoring
- SiteProfiler. Domain authority view with top content, backlinks, and visibility metrics
- Mangools Chrome Extension. SERP overlay showing keyword and domain metrics on Google search results
Only on Vexa
- Meeting Bot API. REST API that deploys bots to Google Meet, Microsoft Teams, and Zoom (coming soon) to record and transcribe meetings.
- Real-Time Transcription. Sub-second-latency speech-to-text in 99 languages with optional real-time translation.
- Interactive Bots. Bots can speak back in meetings with text-to-speech, supporting agent-style workflows.
- Programmatic Screenshare. Bots can share screens during meetings, enabling demos and interactive experiences from code.
- MCP Server. Built-in Model Context Protocol server lets Claude, ChatGPT, Cursor, and n8n consume meeting data directly.
- Self-Hosted Deployment. Full Apache 2.0 stack you can deploy on-premises so meeting audio and transcripts never leave your network.
When each one wins
When Mangools wins
- Platform coverage matters. Mangools monitors 4 AI platforms; Vexa covers 0.
- You're enterprise and need to call a reference. Mangools lists 5 named customers; Vexa lists 0.
- Bundles five separate SEO tools (KWFinder, SERPChecker, SERPWatcher, LinkMiner, SiteProfiler) under one subscription
When Vexa wins
- Budget is the constraint. Vexa starts at $0/mo vs Mangools's $45/mo, so on a per-seat basis it's the cheaper way in.
- Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
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 Mangools 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 Mangools over Vexa
- Broader AI platform coverage. Mangools tracks visibility across 4 AI engines vs Vexa's 0.
- More named customers. Mangools lists 5 customers vs Vexa's 0, including Airbnb, Adidas, Home Depot.
- More verified reviews. Mangools has 62 G2 reviews vs Vexa's none on file, so the average rating carries more weight.
- Faster product velocity. Mangools has shipped 4 public launches in the last year vs Vexa's 0.
- More mature platform. Mangools (founded 2014) has had more time to harden the product than Vexa (2024).
- What users praise most. Bundles five separate SEO tools (KWFinder, SERPChecker, SERPWatcher, LinkMiner, SiteProfiler) under one subscription
Reasons to pick Vexa over Mangools
- Lower entry price. Vexa starts at $0/mo vs Mangools's $45/mo.
- More plan flexibility. Vexa offers 4 pricing tiers vs Mangools's 3, so there's a better chance one fits your team size.
- HIPAA-ready. Vexa is HIPAA compliant; Mangools is not.
- Built for the LLM era. Vexa was founded in 2024, built around AI search from day one; Mangools dates back to 2014 and is retrofitting.
- Wider integration ecosystem. Vexa integrates with 10 tools; Mangools ships 5.
- What users praise most. Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
Switching from one to the other
From Mangools to Vexa
Export your saved queries and prompt panels from Mangools (most tools support CSV export). Most Vexa setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Vexa's data againstMangools's; one to two weeks of full reconciliation before you cancel Mangools. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Vexa to Mangools
Same flow in reverse. Export from Vexa, import to Mangools. 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
| Mangools | Vexa | |
|---|---|---|
| Starts at (USD/mo) | $45/mo | $0/mo |
| Founded | 2014 | 2024 |
| Headquarters | Bratislava, Slovakia | — |
| Funding raised | — | — |
| AI platforms tracked | 4 | — |
| G2 rating | 4.6 / 5 (62 reviews) | — |
| Named customers | 5 | — |
| SOC 2 Type 2 | — | — |
| GDPR | ✓ Yes | ✓ Yes |
| HIPAA | — | ✓ Yes |
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.
Mangools — what users praise
- Bundles five separate SEO tools (KWFinder, SERPChecker, SERPWatcher, LinkMiner, SiteProfiler) under one subscription
- Pricing is roughly 1/3 the cost of Ahrefs or Semrush at the entry tier
- KWFinder is widely praised for long-tail keyword discovery, often surfaces ideas Ahrefs misses
- Clean, beginner-friendly UI with a consistent design across all five tools
- Looker Studio connector for SERPWatcher rank data
Mangools — what users complain about
- Five tools have separate URLs and dashboards, switching between them disrupts workflow
- LinkMiner backlink database is materially smaller than Ahrefs or Majestic
- Lacks technical SEO audit and on-page recommendation tools
- API access is limited to Agency tier and capped by plan-based rate limits
- No content optimization, AI writer, or topic cluster planning features
Vexa — what users praise
- Only open-source meeting bot infrastructure with full source on GitHub under Apache 2.0, letting teams self-host and avoid vendor lock-in.
- Up to 40% cheaper than Recall.ai ($0.30/hr versus ~$0.50/hr bot rate), the most-cited paid alternative.
- Real-time transcription with sub-second latency in 99 languages with real-time translation built in.
- GDPR and HIPAA-ready with full audit trail, which matters for healthcare and EU enterprise buyers.
- MCP server integration ships out of the box for Claude, ChatGPT, Cursor, and n8n workflows.
Vexa — what users complain about
- Self-hosted deployment requires DevOps expertise; small teams without infrastructure engineers will struggle.
- Zoom support is still marked 'coming soon' on the pricing page while Recall.ai already supports it.
- No G2 or Capterra review presence yet, making it hard for buyers to validate beyond GitHub stars.
- Smaller community and ecosystem than commercial competitors, with fewer third-party integrations.
- Dashboard is open-source Next.js but reviewers note it is less polished than Otter.ai or Fireflies UI.
A third option
Both Mangools and Vexaare 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, Mangools or Vexa?
Honestly: neither one fully solves the problem. Mangools and Vexa 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 Vexa 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 Mangools and Vexa cost?
Mangools starts at $45/mo. Vexa starts at $0/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 Mangools and Vexa cover?
Mangools covers 4 AI platforms. Vexa 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 Mangools and Vexa actually improve your AI visibility, or just measure it?
Both Mangools and Vexa 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 Mangools and Vexa?
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.