Pick
Hall
Pick Hall if you need broader AI platform coverage (4 platforms vs 0).
Head-to-head review · Updated June 2026
Hall vs Lumar: which one wins in 2026?
Hall 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. Hall has raised $2M, Lumar has raised $37.6M; Lumar is the more-funded incumbent; Hall 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, Hall 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 Hall
Hall has raised $2M (Pre-seed (July 2025)). Founded by Kai Forsyth, based in San Francisco, CA. On their site they list 1 named customers including MagicBrief. They cover 4 AI platforms. Pricing starts at $0/mo.
AI search analytics platform that tracks brand mentions and citations across ChatGPT, Claude, Gemini, and Perplexity.
What people praise
- Specialized AEO focus tracks brand appearance across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews with clear historical reports
- Filtering between URL citations and brand mentions is a recurring praise point in G2 reviews
- Affordable pricing and free tier let SEO agencies start without procurement friction
- Customer service is responsive and ships requested features quickly per multiple reviewer accounts
Where it falls short
- Free tier caps at 1 project and 25 questions, too tight for agencies monitoring multiple clients
- Initial setup can feel technical for non-developers, onboarding wizard requested by reviewers
- Granular filtering options are still being built out, several reviewers asked for more segmentation
- Public pricing for paid tiers is hidden behind contact-sales, makes self-serve evaluation harder
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
Hall
Free
$0/mo
- 1 project
- 25 tracked questions
- Basic AI visibility monitoring
- Self-serve onboarding
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
Hall
Starter
Contact sales
- 20 projects
- 500 tracked questions
- 45,000 answers analyzed monthly
- Daily data updates
Lumar
—
—
Tier 3
Hall
Business
Contact sales
- 50 projects
- 1,000 tracked questions
- 120,000 answers analyzed monthly
- Daily data updates
Lumar
—
—
Tier 4
Hall
Enterprise
Custom
- API access
- Enterprise-grade security
- Access management and audit logging
- Unlimited historical data
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 Hall
- Generative answer insights. Monitors brand appearance and sentiment in conversational AI answers across major LLM platforms
- Website citation tracking. Surfaces which of your URLs get cited in AI responses and which competitors get cited instead
- AI agent analytics. Observes how AI crawlers like GPTBot, ClaudeBot, PerplexityBot browse and index your site
- Conversational commerce. Tracks ecommerce product mentions and recommendations inside AI chat interfaces
- Question-level tracking. Track specific prompts users ask AI tools about your category, brand, and competitors
- Daily data refresh. Paid tiers refresh tracked questions daily for trend detection
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 Hall wins
- Budget is the constraint. Hall starts at $0/mo vs Lumar's $∞/mo, so on a per-seat basis it's the cheaper way in.
- Platform coverage matters. Hall monitors 4 AI platforms; Lumar covers 0.
- Specialized AEO focus tracks brand appearance across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews with clear historical reports
When Lumar wins
- You're enterprise and need to call a reference. Lumar lists 7 named customers; Hall 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; Hall 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 Hall 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 Hall over Lumar
- Lower entry price. Hall publishes a clear entry tier at $0/mo; Lumar gates pricing.
- More plan flexibility. Hall offers 4 pricing tiers vs Lumar's 1, so there's a better chance one fits your team size.
- Broader AI platform coverage. Hall tracks visibility across 4 AI engines vs Lumar's 0.
- Built for the LLM era. Hall was founded in 2024, built around AI search from day one; Lumar dates back to 2010 and is retrofitting.
- What users praise most. Specialized AEO focus tracks brand appearance across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews with clear historical reports
Reasons to pick Lumar over Hall
- Better-funded incumbent. Lumar has raised $37.6M, giving it more runway and shipping velocity than Hall ($2M).
- More named customers. Lumar lists 7 customers vs Hall's 1, including Adobe, Deloitte, Motley Fool.
- SOC 2 Type 2. Lumar carries SOC 2 Type 2; Hall does not yet, which can hold up procurement.
- More verified reviews. Lumar has 101 G2 reviews vs Hall'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 Hall (2024).
- 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 Hall to Lumar
Export your saved queries and prompt panels from Hall (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 againstHall's; one to two weeks of full reconciliation before you cancel Hall. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Lumar to Hall
Same flow in reverse. Export from Lumar, import to Hall. 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
| Hall | Lumar | |
|---|---|---|
| Starts at (USD/mo) | $0/mo | Custom |
| Founded | 2024 | 2010 |
| Headquarters | San Francisco, CA | London, UK |
| Funding raised | $2M | $37.6M |
| AI platforms tracked | 4 | — |
| G2 rating | 4.8 / 5 | 4.6 / 5 (101 reviews) |
| Named customers | 1 | 7 |
| SOC 2 Type 2 | — | ✓ Yes |
| 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.
Hall — what users praise
- Specialized AEO focus tracks brand appearance across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews with clear historical reports
- Filtering between URL citations and brand mentions is a recurring praise point in G2 reviews
- Affordable pricing and free tier let SEO agencies start without procurement friction
- Customer service is responsive and ships requested features quickly per multiple reviewer accounts
- Quick setup compared to legacy SEO platforms, navigation is intuitive once configured
Hall — what users complain about
- Free tier caps at 1 project and 25 questions, too tight for agencies monitoring multiple clients
- Initial setup can feel technical for non-developers, onboarding wizard requested by reviewers
- Granular filtering options are still being built out, several reviewers asked for more segmentation
- Public pricing for paid tiers is hidden behind contact-sales, makes self-serve evaluation harder
- Newer product (launched April 2025) means fewer integrations than mature SEO tools
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 Hall 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, Hall or Lumar?
Honestly: neither one fully solves the problem. Hall 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 Hall 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 Hall and Lumar cost?
Hall 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.
Which AI platforms do Hall and Lumar cover?
Hall covers 4 AI platforms. Lumar 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 Hall and Lumar actually improve your AI visibility, or just measure it?
Both Hall 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 Hall 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.