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The selection guideSource-backed research ↗
AI Search Monitoring / AI-search visibility and marketing-agent platform
Lantern
Connect AI-search visibility data to marketing agents and review-ready execution
AI-search visibility monitoringCitation-source analysisMarketing-agent workflows
Why it stands out
Connects visibility, citation sources, brand context, and agents.
Source review: · Public-source research, not a hands-on test
Public official pages contain unresolved plan-price, agent-run, and engine-coverage differences; confirm current entitlements before purchase.
↗ Best for
GEO and SEO teams connecting visibility evidence to action.
! Know before you buy
Older vendor guide and GetApp show different $59/$179/$399 package signals
01 / Editorial assessment
Is Lantern for you?
The AICiteKit take
Lantern is a plausible fit for teams that want AI-search visibility analysis connected to content, SEO, PR, analytics, and advertising workflows. Official pages describe visibility maps, citation-source reports, competitor gaps, brand knowledge, integrations, and specialist agents. The evidence is stronger for current identity and advertised scope than for efficacy: GetApp shows no user reviews, DeepSmith reports pricing and engine-coverage inconsistencies, and no checked source provides a controlled benchmark. Shortlist Lantern for a governed pilot, but reconcile the official pricing conflicts, provider matrix, agent-run allowance, exports, permissions, retention, and attribution before purchase.
A good fit if you are…
- GEO and SEO teams connecting visibility evidence to action.
- Content teams needing brand-grounded briefs and drafts.
- Agencies managing client workspaces and review-ready reporting.
- Teams willing to maintain fixed prompts and review agent output.
Consider another option if…
- Buyers requiring independently audited citation accuracy.
- Teams needing one stable public model matrix across plans.
- Organizations demanding causal revenue attribution.
- Teams seeking a narrow mention tracker without execution features.
02 / Scope, not promises
Features & coverage
- Engine coverage boundary
Public pages name ChatGPT, Claude, Gemini, Google AI experiences, and Perplexity; plan-level coverage requires confirmation
Archived researchResearch excerpt · AI-search visibility and citation analysis- Agent-run boundary
Free shows 10 runs/month; Pro card shows 100 while the same page FAQ says 200
Archived researchResearch excerpt · Pricing and limits- Integrations
GSC, GA4, Google Ads, ChatGPT Ads, Sanity, Contentful, WordPress, HubSpot, Slack
Archived researchResearch excerpt · Integrations and publishing boundaries
AI-search visibility and citations
Visibility maps, competitor gaps, citation-source reports, and prompt analysis across public provider surfaces.
Marketing agents and brand context
Agents use brand knowledge to support research, briefs, drafts, presentations, SEO, PR, and advertising workflows.
Integrations and publishing
GSC, GA4, Google Ads, ChatGPT Ads, CMSs, and Slack are listed with OAuth/API, draft, publishing, campaign, or alert capabilities.
Reporting and agency workflows
Executive presentations, performance reporting, workspaces, seats, and an Agency plan are publicly described.
A focused evaluation workflow
- Create a workspace and establish the brand knowledge base.
- Connect search, analytics, advertising, CMS, and collaboration systems.
- Define prompts, competitors, markets, and included AI surfaces.
- Review visibility, citations, source domains, competitor gaps, and traffic context.
- Ask an agent for work, then review evidence and permissions before publishing or changing campaigns.
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-10-21 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Current official price signal
Free; Pro $89/month; Agency $399/month; Enterprise custom
Archived researchResearch excerpt · Pricing and limits- Pricing conflict
Older vendor guide and GetApp show different $59/$179/$399 package signals
Archived researchResearch excerpt · Pricing and limits
Your buying checklist
Get these answers first.
- Which engines, versions, regions, languages, prompts, and agent-run limits are included in the selected plan?
- How should the official 100-versus-200 Pro agent-run conflict be resolved?
- What raw answers, citations, timestamps, exports, API permissions, and retention terms are available?
- Which integrations permit drafts versus live publishing or campaign changes?
- How are AI referrals separated from correlation and causal revenue attribution?
Pricing context & qualifications
Official pricing checked October 21, 2026: Free; Pro $89/month; Agency $399/month; Enterprise custom. The same page contains a 100-versus-200 Pro agent-run conflict. Older vendor material and GetApp show different $59/$179/$399 package signals; confirm current entitlements, billing, engine coverage, and capacity.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Connects visibility, citation sources, brand context, and agents.
- Official integrations document concrete systems and connection methods.
- Free entry plan enables bounded evaluation.
- Approval framing supports governed marketing workflows.
Reasons to pause
- Official and third-party pricing surfaces conflict.
- Engine coverage differs by public page and plan card.
- No meaningful independent user-rating sample or controlled benchmark found.
- No proof of causal citation, traffic, conversion, or revenue lift.
Older vendor guide and GetApp show different $59/$179/$399 package signals
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Profound
Otterly AI
OpenSEO
06 / What we can substantiate
Reviews & evidence
No meaningful independent user-rating sample or controlled benchmark was found. GetApp shows 0 reviews; DeepSmith provides directional review context about engine and pricing gaps; vendor case studies and customer logos are promotional.
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
Sources & original verification dates
| Source | Evidence type | Checked |
|---|---|---|
| Lantern official homepage ↗ | official | |
| Lantern pricing ↗ | official | |
| Lantern integrations ↗ | official | |
| Lantern on GetApp ↗ | independent | |
| Asklantern review by DeepSmith ↗ | independent | |
| The 5 Best GEO Tools for Marketers in 2026 ↗ | vendor-selected | |
| CitedIndex Lantern listing ↗ | directory |
Original review evidence & date context
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
Medium confidence for current Lantern identity, advertised AI-search/agent scope, integrations, and displayed commercial signals. Low confidence for efficacy: GetApp shows 0 reviews, DeepSmith reports implementation inconsistencies, and no checked source proves citation precision, repeatability, agent accuracy, causal visibility lift, incremental traffic, conversions, or revenue attribution.
Research notes & unresolved discrepancies
- The dated GEO directory snapshot and CitedIndex listing were discovery inputs only, not quality evidence.
- GetApp shows no public reviews; absence of reviews is not a negative quality rating.
- DeepSmith is external context, not a controlled test, and has competing-product context.
- Vendor guide pricing is retained as historical/vendor-selected context rather than current authoritative pricing.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.