Pick
Kagi
Kagi is the right pick if your team prefers their approach and pricing fits.
Head-to-head review · Updated June 2026
Kagi vs Lumar: which one wins in 2026?
Kagi and Lumar 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. Kagi has raised ~$5.5M, Lumar has raised $37.6M; Lumar is the more-funded incumbent; Kagi is the leaner challenger.
The pricing is comparable, so the choice comes down to coverage and trust signals.
The verdict
★ Our pick
Pick
Lumar
Pick Lumar if you trust traction signals — they list 7 customers, Kagi lists 1; and you want the better-funded company ($37.6M); and SOC 2 Type 2 matters for your security review.
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 Kagi
Kagi has raised ~$5.5M ($2.5M from 93 angel investors (2023-2024)). Founded by Vladimir Prelovac, based in Palo Alto, CA. On their site they list 1 named customers including 50,000+ individual paying members as of June 2025. Pricing starts at $0/mo.
Paid ad-free search engine with AI assistant.
What people praise
- No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
- Lenses let you filter searches to academic, programming, recipes, or custom domain lists for cleaner results
- Block, boost, or bury domains like Pinterest at the personal account level so your results improve over time
- Question mark suffix triggers an AI summary of results at the top, useful for quick research without leaving search
Where it falls short
- Paying $10/mo for search feels unusual when Google is free, sticker shock is the most common reason to churn
- Starter plan caps at 300 searches, easy to blow through in a single research session
- Local business searches are weaker than Google Maps, fall back to Google for restaurants and directions
- Orion browser is Mac/iOS only, Windows and Linux users get Chrome and Firefox extensions instead
The case for Lumar
Lumar has raised $37.6M (Series B (Aug 2022)). Founded by Michal Magdziarz, Matt Jones, based in London, UK. On their site they list 7 named customers including Adobe, Deloitte, Motley Fool, Comcast. Pricing starts at Custom.
Enterprise website intelligence platform (formerly DeepCrawl).
What people praise
- Handles very large sites (millions of URLs) where desktop crawlers like Screaming Frog hit resource limits
- Renders JavaScript pages to capture client-side content, critical for modern stacks
- Protect app runs SEO QA in CI/CD pipelines to catch noindex or blocked resource regressions before launch
- Visual dashboards are clearer than Excel exports from competing crawlers and prioritize fixes by impact
Where it falls short
- Pricing is entirely custom, no public tiers, and reviewers consistently call it expensive vs competitors
- Steep learning curve, the UI is described as overwhelming and very technical for non-SEO users
- No competitor data inside the product, you cannot benchmark against rival domains
- Crawls can be slow on very large sites because of the depth of analysis
Pricing, tier by tier
Tier 1
Kagi
Trial
$0/mo
- 100 searches
- 100 Assistant interactions
- Full Kagi search experience
Lumar
Custom (modular)
Custom
- Lumar Analyze, Monitor, Protect and Impact apps available individually
- Technical SEO, GEO/AEO, site speed, accessibility and custom analytics metrics
- Pricing scales with URL volume crawled (estimated $2,667/mo for 5M URLs)
- Professional services and enterprise support
Tier 2
Kagi
Starter
$5/mo
- 300 searches per month
- Kagi Assistant Quick mode
- Limited Assistant interactions
- Domain ranking customization
Lumar
—
—
Tier 3
Kagi
Professional
$10/mo
- Unlimited searches
- Kagi Assistant Quick mode
- Expanded monthly AI usage
- Lenses (custom search filters)
Lumar
—
—
Tier 4
Kagi
Ultimate
$25/mo
- Unlimited searches
- Assistant Research mode
- Access to Claude, GPT-4, Gemini, DeepSeek, Mistral flagship models
- Custom Assistants
Lumar
—
—
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 Kagi
- Ad-free search results. Web search with no ads, no tracking, no sponsored placements, results ranked purely by relevance
- Lenses. Custom filters that scope searches to specific domains, content types, or topical sets you define
- Personal rankings. Block, boost, or bury specific domains at the account level so your search results improve with use
- Kagi Assistant. Multi-LLM chat interface with access to Claude, GPT-4, Gemini, DeepSeek, Mistral on Ultimate plan
- Universal Summarizer. Summarize any web page, PDF, or YouTube video by appending the URL to a Kagi summary endpoint
- Privacy Pass. Cryptographic tokens let you search anonymously while still proving valid subscription status
Only on Lumar
- Analyze. Crawls websites at scale with 250+ built-in reports plus custom data extraction
- Monitor. Continuous tracking across multiple domains with customizable dashboards and threshold alerts
- Protect. Automated SEO QA tests wired into CI/CD pipelines, catches regressions pre-launch
- Impact. Stakeholder reporting with industry benchmarking and commercial impact prioritization
- GEO/AEO metrics. Tracks how AI search engines surface and cite your site
- WCAG 2.2 accessibility audits. Levels A, AA and AAA compliance checking integrated into the crawl
When each one wins
When Kagi wins
- Budget is the constraint. Kagi starts at $0/mo vs Lumar's $∞/mo, so on a per-seat basis it's the cheaper way in.
- No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
When Lumar wins
- You're enterprise and need to call a reference. Lumar lists 7 named customers; Kagi lists 1.
- You want the better-funded incumbent. Lumar has raised $37.6M, giving it more runway and shipping velocity.
- Procurement requires SOC 2 Type 2. Lumar has it; Kagi doesn't yet.
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 Kagi 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 Kagi over Lumar
- Lower entry price. Kagi publishes a clear entry tier at $0/mo; Lumar gates pricing.
- More plan flexibility. Kagi offers 4 pricing tiers vs Lumar's 1, so there's a better chance one fits your team size.
- Built for the LLM era. Kagi was founded in 2018, built around AI search from day one; Lumar dates back to 2010 and is retrofitting.
- What users praise most. No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
Reasons to pick Lumar over Kagi
- Better-funded incumbent. Lumar has raised $37.6M, giving it more runway and shipping velocity than Kagi (~$5.5M).
- More named customers. Lumar lists 7 customers vs Kagi's 1, including Adobe, Deloitte, Motley Fool.
- SOC 2 Type 2. Lumar carries SOC 2 Type 2; Kagi does not yet, which can hold up procurement.
- More verified reviews. Lumar has 101 G2 reviews vs Kagi's none on file, so the average rating carries more weight.
- More mature platform. Lumar (founded 2010) has had more time to harden the product than Kagi (2018).
- What users praise most. Handles very large sites (millions of URLs) where desktop crawlers like Screaming Frog hit resource limits
- EU data residency. Lumar is HQ'd in London, UK, which simplifies GDPR data-processor agreements for European buyers.
Switching from one to the other
From Kagi to Lumar
Export your saved queries and prompt panels from Kagi (most tools support CSV export). Most Lumar setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Lumar's data againstKagi's; one to two weeks of full reconciliation before you cancel Kagi. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Lumar to Kagi
Same flow in reverse. Export from Lumar, import to Kagi. 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
| Kagi | Lumar | |
|---|---|---|
| Starts at (USD/mo) | $0/mo | Custom |
| Founded | 2018 | 2010 |
| Headquarters | Palo Alto, CA | London, UK |
| Funding raised | ~$5.5M | $37.6M |
| AI platforms tracked | — | — |
| G2 rating | — | 4.6 / 5 (101 reviews) |
| Named customers | 1 | 7 |
| 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.
Kagi — what users praise
- No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
- Lenses let you filter searches to academic, programming, recipes, or custom domain lists for cleaner results
- Block, boost, or bury domains like Pinterest at the personal account level so your results improve over time
- Question mark suffix triggers an AI summary of results at the top, useful for quick research without leaving search
- Kagi Assistant Ultimate plan includes access to 30+ leading LLMs including Claude, GPT-4, Gemini, DeepSeek
Kagi — what users complain about
- Paying $10/mo for search feels unusual when Google is free, sticker shock is the most common reason to churn
- Starter plan caps at 300 searches, easy to blow through in a single research session
- Local business searches are weaker than Google Maps, fall back to Google for restaurants and directions
- Orion browser is Mac/iOS only, Windows and Linux users get Chrome and Firefox extensions instead
- Ultimate at $25/mo is higher than a standalone ChatGPT Plus subscription, value depends on heavy multi-LLM usage
Lumar — what users praise
- Handles very large sites (millions of URLs) where desktop crawlers like Screaming Frog hit resource limits
- Renders JavaScript pages to capture client-side content, critical for modern stacks
- Protect app runs SEO QA in CI/CD pipelines to catch noindex or blocked resource regressions before launch
- Visual dashboards are clearer than Excel exports from competing crawlers and prioritize fixes by impact
- Official Looker Studio and BigQuery connectors let you blend crawl data with revenue or product data
Lumar — what users complain about
- Pricing is entirely custom, no public tiers, and reviewers consistently call it expensive vs competitors
- Steep learning curve, the UI is described as overwhelming and very technical for non-SEO users
- No competitor data inside the product, you cannot benchmark against rival domains
- Crawls can be slow on very large sites because of the depth of analysis
- Limited live chat support, most help is async or via account manager
A third option
Both Kagi and Lumarare 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, Kagi or Lumar?
Honestly: neither one fully solves the problem. Kagi and Lumar 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 Kagi 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 Kagi and Lumar cost?
Kagi starts at $0/mo. Lumar starts at Custom. 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.
Do Kagi and Lumar actually improve your AI visibility, or just measure it?
Both Kagi and Lumar 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 Kagi and Lumar?
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.