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Beaconn
Summary
AI answer engines name three to five brands per query and ignore everyone else — and until you can see which prompts are costing you mentions, you cannot fix it. Beaconn runs live queries against the four engines your buyers actually use and shows you exactly where your brand lands, or doesn't.
Beaconn scans Perplexity, ChatGPT, Gemini, and Claude with real buyer-intent prompts, scores your visibility across all four engines, and maps competitor share of voice so you can see who is getting cited instead of you. The Google-vs-AI gap feature is the sharpest differentiator: it surfaces prompts where you already rank on the traditional results page but vanish from AI answers — the blind spot that quietly drains pipeline before a lead ever forms. The vendor also classifies AI-driven traffic by referrer and utm_source, so the visits AI sends stop disappearing into 'direct' in your analytics. The fix layer drafts paste-ready content and FAQ schema for each gap, but that output is a paid-only feature. Teams on the free tier get the diagnosis without the prescription.
Bottom line: Beaconn earns its place for marketing teams who need to see their AI-answer visibility before they can argue for budget to fix it — but teams that need automated, ongoing prompt monitoring at scale will hit the ceiling of a scan-based tool and start looking at API-accessible alternatives.
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Pros
Sign in to edit- Live queries to all four major AI answer engines rather than a static index, which means your visibility score reflects today's actual AI behavior rather than data that aged out weeks ago.
- Google-vs-AI gap detection surfaces the specific prompts where traditional SEO is working but AI citation is zero, so you can prioritize content investment at the exact points where pipeline is leaking.
- Competitor share-of-voice percentages per engine, so you can show leadership which brands are being named instead of yours and by how much — not just that a gap exists.
- AI traffic classification by referrer and utm_source via a single snippet, which means AI-driven visits stop vanishing into 'direct' and you can actually measure whether AI-answer improvements move conversion numbers.
- Each AI answer is stored with engine, date, wording, and cited sources as evidence, so content and SEO teams have a concrete artifact to audit rather than a score with no paper trail.
Cons
Sign in to edit- The content fix layer — paste-ready answer copy and FAQ schema targeting specific AI citation gaps — is a paid-only feature, so free-tier users get a complete diagnosis of what is broken but no generated output to act on; teams without budget approval end up exporting the gap data and writing fixes manually.
- No API access and no scheduled automated scanning means teams tracking more than a handful of brands or monitoring fast-moving competitive categories have to trigger scans manually; at the point where a team needs daily or hourly prompt monitoring across dozens of competitors, the manual scan model breaks down and they move to a platform that exposes programmatic access.
- With 57 brands scanned on the platform at time of scrape, the prompt library and benchmarking data pool is thin relative to what an enterprise competitive intelligence workflow requires; teams in niche B2B categories may find that buyer-intent prompts relevant to their market are not pre-built and must be configured from scratch with no guarantee of coverage parity.
About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-09-10T08:01:07.728Z
Best For
Who it's for
- Marketing teams optimizing for AI search
- Brands seeking visibility in AI answers
- Competitive intelligence on AI recommendations
What it does well
- Track brand mentions across AI engines
- Identify Google vs AI ranking gaps
- Generate AI-optimized content recommendations
- Measure competitor share of voice
- Classify AI-driven website traffic
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Sign Up to ContributeFrequently Asked Questions
- Is Beaconn free?
- Beaconn has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Beaconn open source?
- No — Beaconn is a closed-source tool. Source code is not publicly available.
- What platforms does Beaconn support?
- Beaconn is available on: Web.
Curated lists that include this category
Beaconn’s core workflow is a scan: you submit your brand and target prompts, and the tool queries Perplexity, ChatGPT, Gemini, and Claude live — not a cached corpus — then scores your visibility from zero to ten per engine, maps competitor share of voice as a percentage of AI mentions, and logs each answer with engine, date, exact wording, and cited sources as auditable evidence. The Google-vs-AI gap view overlays your traditional search rankings against your AI-answer presence, making it possible to isolate prompts where you have SEO traction but zero AI citation — the category of loss that conventional rank trackers never surface.
The most concrete differentiating feature is what the vendor calls the AI traffic classifier: a single snippet that tags incoming visits by the AI assistant that referred them, using referrer signals and utm_source, without recording non-AI visits or setting cookies. For teams whose analytics currently lumps AI referrals into ‘direct’ or ‘other,’ this closes a measurement gap that makes it impossible to attribute pipeline to AI-answer presence.
Beaconn fits marketing and growth teams in the research and diagnosis phase — teams who need to make the case that an AI-search gap exists before committing engineering or content resources to closing it. The free scan covers the visibility score and competitor map. The content fix layer — where the tool drafts the exact comparison pages and FAQ schema that AI engines cite for a given query — is a paid-only feature, so the free tier delivers the problem statement but not the solution. Teams that need the fix layer, ongoing scheduled monitoring across dozens of prompts, or programmatic access to scan results will find no API available and no self-hosted option, and the vendor’s current scale (57 brands scanned at time of writing) signals an early-stage platform rather than an enterprise-grade monitoring system.