★ Our pick
Pick
Evertune
Pick Evertune if you want the cheaper option ($3,000/mo vs $45/mo); and you trust traction signals — they list 8 customers, Mangools lists 5; and you want the better-funded company ($19M).
Head-to-head review · Updated June 2026
Evertune vs Mangools: which one wins in 2026?
Evertune and Mangools 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. Evertune is the more-funded incumbent; Mangools is the leaner challenger.
Mangools is cheaper out the gate, but that's not the only thing that matters. The right pick depends on which dimension matters most for you.
The verdict
Pick
Mangools
Pick Mangools if you want the cheaper option ($45/mo vs $3,000/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 Evertune
Evertune has raised $19M ($15M Series A (August 2025)). Founded by Brian Stempeck, Ed Chater, Poul Costinsky, based in New York, NY. On their site they list 8 named customers including Athenahealth, Roku, Virgin Voyages, WPP. They cover 4 AI platforms. Pricing starts at $3,000/mo.
AI visibility and GEO platform for enterprise brands that prompts 100,000+ questions per brand to AI models via direct API access, delivering actionable insights.
What people praise
- Built specifically for generative engine optimization (GEO) rather than retrofitted from an SEO tool
- Runs over 1 million custom prompts per brand per month, giving statistically significant brand visibility data
- Dual-level insights covering both foundational model knowledge and live consumer app responses
- Customers have reported approximately 12% click-through rate from AI chatbot citations
Where it falls short
- Pricing starts at $3,000/month, putting it out of reach for SMB and solo marketers
- Zero published G2 reviews so far, no independent sentiment data for prospective buyers
- Limited public case study footprint, only a handful of data points appear in press releases
- Enterprise sales motion only, no self-serve sign-up or free trial
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
Pricing, tier by tier
Tier 1
Evertune
Enterprise
$3,000/mo
- Brand monitoring across all major AI platforms
- 1M+ custom prompts per brand monthly
- Competitor intelligence
- AI website optimization
Mangools
Basic
$44.90/mo
- KWFinder keyword research
- SERPChecker SERP analysis
- SERPWatcher rank tracking
- LinkMiner backlinks
Tier 2
Evertune
—
—
Mangools
Premium
$89.90/mo
- All five tools
- Higher daily search limits
- More tracked keywords
- More backlink lookups
Tier 3
Evertune
—
—
Mangools
Agency
$129/mo
- Highest search limits
- Multi-user team access
- API access
- Largest tracked keyword volumes
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 Evertune
- User Insights / EverPanel. Monitors prompt volumes and AI usage across a 150M+ prompt consumer panel
- Generative Engine Optimization (GEO). Brand monitoring and optimization across major AI platforms with competitor intelligence
- AI Website Optimization. Recommends site changes to improve how AI models cite and rank the brand
- Content Activation. Data-driven content creation that surfaces product attributes and influential sources to cover
- AI Advertising. Places ads directly in AI conversations and across the source websites that AI models cite
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
When each one wins
When Evertune wins
- You're enterprise and need to call a reference. Evertune lists 8 named customers; Mangools lists 5.
- You want the better-funded incumbent. Evertune has raised $19M, giving it more runway and shipping velocity.
- Built specifically for generative engine optimization (GEO) rather than retrofitted from an SEO tool
When Mangools wins
- Budget is the constraint. Mangools starts at $45/mo vs Evertune's $3,000/mo, so on a per-seat basis it's the cheaper way in.
- Bundles five separate SEO tools (KWFinder, SERPChecker, SERPWatcher, LinkMiner, SiteProfiler) under one subscription
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 Evertune 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 Evertune over Mangools
- Better-funded incumbent. Evertune has raised $19M, giving it more runway and shipping velocity than Mangools.
- More named customers. Evertune lists 8 customers vs Mangools's 5, including Athenahealth, Roku, Virgin Voyages.
- Built for the LLM era. Evertune was founded in 2024, built around AI search from day one; Mangools dates back to 2014 and is retrofitting.
- Wider integration ecosystem. Evertune integrates with 10 tools; Mangools ships 5.
- What users praise most. Built specifically for generative engine optimization (GEO) rather than retrofitted from an SEO tool
Reasons to pick Mangools over Evertune
- Lower entry price. Mangools starts at $45/mo vs Evertune's $3,000/mo.
- More plan flexibility. Mangools offers 3 pricing tiers vs Evertune's 1, so there's a better chance one fits your team size.
- More verified reviews. Mangools has 62 G2 reviews vs Evertune'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 Evertune's 0.
- More mature platform. Mangools (founded 2014) has had more time to harden the product than Evertune (2024).
- What users praise most. Bundles five separate SEO tools (KWFinder, SERPChecker, SERPWatcher, LinkMiner, SiteProfiler) under one subscription
- EU data residency. Mangools is HQ'd in Bratislava, Slovakia, which simplifies GDPR data-processor agreements for European buyers.
Switching from one to the other
From Evertune to Mangools
Export your saved queries and prompt panels from Evertune (most tools support CSV export). Most Mangools setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Mangools's data againstEvertune's; one to two weeks of full reconciliation before you cancel Evertune. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Mangools to Evertune
Same flow in reverse. Export from Mangools, import to Evertune. 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
| Evertune | Mangools | |
|---|---|---|
| Starts at (USD/mo) | $3,000/mo | $45/mo |
| Founded | 2024 | 2014 |
| Headquarters | New York, NY | Bratislava, Slovakia |
| Funding raised | $19M | — |
| AI platforms tracked | 4 | 4 |
| G2 rating | — | 4.6 / 5 (62 reviews) |
| Named customers | 8 | 5 |
| 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.
Evertune — what users praise
- Built specifically for generative engine optimization (GEO) rather than retrofitted from an SEO tool
- Runs over 1 million custom prompts per brand per month, giving statistically significant brand visibility data
- Dual-level insights covering both foundational model knowledge and live consumer app responses
- Customers have reported approximately 12% click-through rate from AI chatbot citations
- Strong founding team from The Trade Desk with deep data-driven marketing infrastructure experience
Evertune — what users complain about
- Pricing starts at $3,000/month, putting it out of reach for SMB and solo marketers
- Zero published G2 reviews so far, no independent sentiment data for prospective buyers
- Limited public case study footprint, only a handful of data points appear in press releases
- Enterprise sales motion only, no self-serve sign-up or free trial
- Younger company (founded April 2024) with smaller community and tutorial library compared to incumbents
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
A third option
Both Evertune and Mangoolsare 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, Evertune or Mangools?
Honestly: neither one fully solves the problem. Evertune and Mangools 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 Mangools 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 Evertune and Mangools cost?
Evertune starts at $3,000/mo. Mangools starts at $45/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 Evertune and Mangools cover?
Evertune covers 4 AI platforms. Mangools covers 4. 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 Evertune and Mangools actually improve your AI visibility, or just measure it?
Both Evertune and Mangools 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 Evertune and Mangools?
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.