Head-to-head review · Updated June 2026

Genrank vs Vexa: which one wins in 2026?

An honest editorial comparison from the team at GrowthManager.ai. We make a competing product, which is disclosed in full at the bottom.

Genrank 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.

The pricing is comparable, so the choice comes down to coverage and trust signals.

The verdict
Pick

Genrank

Pick Genrank if you need broader AI platform coverage (1 platforms vs 0); and you trust traction signals — they list 4 customers, Vexa lists 0.

Pick

Vexa

Vexa is the right pick if your team prefers their approach and pricing fits.

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 Genrank

Founded by Maziar Foroudian. On their site they list 4 named customers including Recrawled, Orange Line, Krachtig Online, Caever Advocaten. They cover 1 AI platforms. Pricing starts at $0/mo.

ChatGPT-first brand monitoring and rank tracking tool that identifies when and how brands are mentioned in AI-generated responses.

What people praise

  • Intuitive setup, uses AI itself to generate the initial prompt set so onboarding is fast
  • Conversation Explorer surfaces how real users phrase queries to ChatGPT, a feature reviewers call worth the price on its own
  • Daily refresh on all paid plans keeps visibility data current
  • Free tier gives a real working dashboard, not a watered-down demo

Where it falls short

  • Focused primarily on ChatGPT as the original ChatGPT rank tracker, less coverage of Claude, Gemini, and Perplexity than Gauge or Evertune
  • Region-dependent pricing creates confusion when comparing plans across markets
  • Prompt slot caps (10/25/150) require careful planning so important queries aren't excluded
  • Smaller third-party review footprint outside G2, limited Reddit or Trustpilot signal

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
Genrank
Free
$0/mo
  • Brand visibility tracking
  • 10 prompt slots
  • 1 project
  • Daily refresh
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
Genrank
Essential
$59-95/mo
  • Brand visibility
  • Competitor insights
  • Citation sources
  • Brand perception
Vexa
Individual
$12/mo
  • 1 concurrent bot
  • Real-time transcription
  • 12-month audio storage
  • Web dashboard access
Tier 3
Genrank
Pro
$169-239/mo
  • Content optimization
  • Entity clarity
  • 150 prompt slots
  • 3 projects
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
Genrank
Scale
Custom
  • API access
  • Priority support
  • Custom prompt slots
  • Custom projects and competitors
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 Genrank
  • Prompt Research. Identifies customer prompts via search queries, page scanning, and prompt management
  • Response Tracking. Monitors brand visibility, competitor positioning, brand perception, and citation sources in AI answers
  • Content Optimization. Recommends content edits to improve how the brand is retrieved and cited
  • Entity Clarity. Diagnoses how clearly AI models understand the brand entity and what to clean up
  • Conversation Explorer. Shows real ChatGPT conversation patterns so teams can spot how customers phrase questions
  • Sentiment Tracking. Tracks tone of how AI models describe the brand over time
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 Genrank wins
  • Platform coverage matters. Genrank monitors 1 AI platforms; Vexa covers 0.
  • You're enterprise and need to call a reference. Genrank lists 4 named customers; Vexa lists 0.
  • Intuitive setup, uses AI itself to generate the initial prompt set so onboarding is fast
When Vexa wins
  • 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 Genrank 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 Genrank over Vexa

  1. Broader AI platform coverage. Genrank tracks visibility across 1 AI engines vs Vexa's 0.
  2. More named customers. Genrank lists 4 customers vs Vexa's 0, including Recrawled, Orange Line, Krachtig Online.
  3. More verified reviews. Genrank has 6 G2 reviews vs Vexa's none on file, so the average rating carries more weight.
  4. What users praise most. Intuitive setup, uses AI itself to generate the initial prompt set so onboarding is fast

Reasons to pick Vexa over Genrank

  1. HIPAA-ready. Vexa is HIPAA compliant; Genrank is not.
  2. Wider integration ecosystem. Vexa integrates with 10 tools; Genrank ships 2.
  3. 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 Genrank to Vexa

Export your saved queries and prompt panels from Genrank (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 againstGenrank's; one to two weeks of full reconciliation before you cancel Genrank. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.

From Vexa to Genrank

Same flow in reverse. Export from Vexa, import to Genrank. 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

GenrankVexa
Starts at (USD/mo)$0/mo$0/mo
Founded20242024
Headquarters——
Funding raised——
AI platforms tracked1—
G2 rating——
Named customers4—
SOC 2 Type 2——
GDPR—✓ 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.

Genrank — what users praise

  • Intuitive setup, uses AI itself to generate the initial prompt set so onboarding is fast
  • Conversation Explorer surfaces how real users phrase queries to ChatGPT, a feature reviewers call worth the price on its own
  • Daily refresh on all paid plans keeps visibility data current
  • Free tier gives a real working dashboard, not a watered-down demo
  • Earned a spot on G2's Grid for AEO since the Winter 2026 Reports launch

Genrank — what users complain about

  • Focused primarily on ChatGPT as the original ChatGPT rank tracker, less coverage of Claude, Gemini, and Perplexity than Gauge or Evertune
  • Region-dependent pricing creates confusion when comparing plans across markets
  • Prompt slot caps (10/25/150) require careful planning so important queries aren't excluded
  • Smaller third-party review footprint outside G2, limited Reddit or Trustpilot signal
  • API access locked to the custom-priced Scale tier, limiting programmatic use for smaller teams

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 Genrank 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.

Book a free 20-min auditSee the full 7-tool comparison

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, Genrank or Vexa?

Honestly: neither one fully solves the problem. Genrank 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 Genrank 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 Genrank and Vexa cost?

Genrank starts at $0/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 Genrank and Vexa cover?

Genrank covers 1 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 Genrank and Vexa actually improve your AI visibility, or just measure it?

Both Genrank 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 Genrank 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.

  1. 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.

  2. 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.

  3. 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.

  4. Audience intelligence analyses· SparkToro

    Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.

  5. 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.