Head-to-head review · Updated June 2026

Linkup vs Mangools: which one wins in 2026?

Linkup 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. Linkup is the more-funded incumbent; Mangools is the leaner challenger.

Linkup is cheaper out the gate, but Mangools tracks more AI platforms. The right pick depends on which dimension matters most for you.

The verdict
★ Our pick
Pick

Linkup

Pick Linkup if you want the cheaper option ($0/mo vs $45/mo); and you trust traction signals — they list 8 customers, Mangools lists 5; and you want the better-funded company ($13.2M); and SOC 2 Type 2 matters for your security review.

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).

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 Linkup

Linkup has raised $13.2M ($10M Seed (Feb 2026, led by Gradient)). Founded by Philippe Mizrahi, Denis Charrier, Boris Toledano, based in Paris, France. On their site they list 8 named customers including McKinsey & Company, Cohere, KPMG, EY. Pricing starts at $0/mo.

Search API used by AI agents — the data layer for retrieval-augmented LLM apps.

What people praise

  • Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product
  • Licenses content from publishers and pays them on usage, so results are legal and citation-safe
  • Sub-second search latency is fast enough for real-time agent tool calls
  • Free tier ships 4,000 queries and startups can apply for $5,000 in credits

Where it falls short

  • Per-request pricing makes monthly cost hard to forecast for high-volume agents
  • Deep Research mode can cost up to $2.50 per call, expensive at scale
  • Not a visibility, SEO or content product, it is a raw search API and you build the workflow yourself
  • No G2 or Capterra reviews yet, the company only launched its API in late 2024

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
Linkup
Fetch
$0.001 - $0.005 per request
  • URL content extraction
  • Sub-2 second latency, synchronous
  • 4,000 complimentary queries for new accounts
Mangools
Basic
$44.90/mo
  • KWFinder keyword research
  • SERPChecker SERP analysis
  • SERPWatcher rank tracking
  • LinkMiner backlinks
Tier 2
Linkup
Search
$0.005 - $0.006 per request
  • Web search tool calls for AI agents
  • Fast, Standard and Deep variants
  • 1-3 second synchronous latency
  • Sourced, cited answers with full-text snippets
Mangools
Premium
$89.90/mo
  • All five tools
  • Higher daily search limits
  • More tracked keywords
  • More backlink lookups
Tier 3
Linkup
Research
$0.25 - $2.50 per request
  • Asynchronous deep research over the web
  • 1-10 minute latency
  • Multi-step reasoning with citations
Mangools
Agency
$129/mo
  • Highest search limits
  • Multi-user team access
  • API access
  • Largest tracked keyword volumes
Tier 4
Linkup
Enterprise
Custom
  • Personalized indexes
  • Dedicated index refresh rates
  • Private environments and bring-your-own-cloud
  • IP whitelisting, ZDR, SOC 2 Type II, SLA
Mangools

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 Linkup
  • Fetch API. Synchronous URL content extraction in under 2 seconds, returns clean markdown
  • Search API. Web search tool calls with sourced, cited answers and full-text snippets in 1-3 seconds
  • Research API. Asynchronous deep research that runs multi-step reasoning over the web and returns a cited report
  • Tunable index. Filter by source allowlist, freshness window and content type
  • Private index. Deploy Linkup over your own proprietary documents
  • Bring Your Own Cloud. Run the Linkup runtime inside your own AWS, GCP or Azure account
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 Linkup wins
  • Budget is the constraint. Linkup starts at $0/mo vs Mangools's $45/mo, so on a per-seat basis it's the cheaper way in.
  • You're enterprise and need to call a reference. Linkup lists 8 named customers; Mangools lists 5.
  • You want the better-funded incumbent. Linkup has raised $13.2M, giving it more runway and shipping velocity.
  • Procurement requires SOC 2 Type 2. Linkup has it; Mangools doesn't yet.
When Mangools wins
  • Platform coverage matters. Mangools monitors 4 AI platforms; Linkup covers 0.
  • 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 Linkup 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 Linkup over Mangools

  1. Lower entry price. Linkup starts at $0/mo vs Mangools's $45/mo.
  2. More plan flexibility. Linkup offers 4 pricing tiers vs Mangools's 3, so there's a better chance one fits your team size.
  3. Better-funded incumbent. Linkup has raised $13.2M, giving it more runway and shipping velocity than Mangools.
  4. More named customers. Linkup lists 8 customers vs Mangools's 5, including McKinsey & Company, Cohere, KPMG.
  5. SOC 2 Type 2. Linkup carries SOC 2 Type 2; Mangools does not yet, which can hold up procurement.
  6. Built for the LLM era. Linkup was founded in 2024, built around AI search from day one; Mangools dates back to 2014 and is retrofitting.
  7. What users praise most. Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product

Reasons to pick Mangools over Linkup

  1. Broader AI platform coverage. Mangools tracks visibility across 4 AI engines vs Linkup's 0.
  2. More verified reviews. Mangools has 62 G2 reviews vs Linkup's none on file, so the average rating carries more weight.
  3. Faster product velocity. Mangools has shipped 4 public launches in the last year vs Linkup's 0.
  4. More mature platform. Mangools (founded 2014) has had more time to harden the product than Linkup (2024).
  5. What users praise most. Bundles five separate SEO tools (KWFinder, SERPChecker, SERPWatcher, LinkMiner, SiteProfiler) under one subscription

Switching from one to the other

From Linkup to Mangools

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

From Mangools to Linkup

Same flow in reverse. Export from Mangools, import to Linkup. 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

LinkupMangools
Starts at (USD/mo)$0/mo$45/mo
Founded20242014
HeadquartersParis, FranceBratislava, Slovakia
Funding raised$13.2M
AI platforms tracked4
G2 rating4.6 / 5 (62 reviews)
Named customers85
SOC 2 Type 2✓ Yes
GDPR✓ Yes✓ 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.

Linkupwhat users praise

  • Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product
  • Licenses content from publishers and pays them on usage, so results are legal and citation-safe
  • Sub-second search latency is fast enough for real-time agent tool calls
  • Free tier ships 4,000 queries and startups can apply for $5,000 in credits
  • SOC 2 Type II and ZDR are included at no additional cost on every plan

Linkupwhat users complain about

  • Per-request pricing makes monthly cost hard to forecast for high-volume agents
  • Deep Research mode can cost up to $2.50 per call, expensive at scale
  • Not a visibility, SEO or content product, it is a raw search API and you build the workflow yourself
  • No G2 or Capterra reviews yet, the company only launched its API in late 2024
  • Index is still smaller than incumbents like Google or Bing, niche queries can return thin results

Mangoolswhat 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

Mangoolswhat 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 Linkup 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, Linkup or Mangools?

Honestly: neither one fully solves the problem. Linkup 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 Linkup 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 Linkup and Mangools cost?

Linkup starts at $0/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 Linkup and Mangools cover?

Linkup covers an undisclosed number of 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 Linkup and Mangools actually improve your AI visibility, or just measure it?

Both Linkup 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 Linkup 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.

  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.