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The selection guideSource-backed research ↗
AI Search Monitoring / Open-source SEO and AI-search visibility application with self-hosting, Cloud access, APIs, and MCP.

bisibility

Open-source SEO and AI-search visibility tracking you can self-host

AI-search visibility monitoringOpen-source SEO platformAPI and MCP automation
Why it stands out

AGPL-licensed and inspectable public implementation.

Source review: · Public-source research, not a hands-on test

bisibility is a pre-1.0 provider-aware application. Self-hosting is presented as free; Cloud access and external provider usage are separate commercial and operational dependencies.

↗ Best for

Developers and technical SEOs comfortable with provider credentials and source code.

! Know before you buy

Rank checks can use DataForSEO or SerpApi; the official FAQ says several research and AI-search workflows currently use DataForSEO.

01 / Editorial assessment

Is bisibility for you?

The AICiteKit take

bisibility is a credible new candidate for technical teams that want inspectable, provider-aware SEO and AI-search workflows instead of an opaque dashboard. Its public repository, live product and pricing pages, APIs, MCP access, and self-hosting path make the scope easy to test. It is not an independent search index or a proven citation-accuracy benchmark: provider coverage, sampling, model support, and operational reliability remain buyer responsibilities. Shortlist it for a technical pilot; choose a mature commercial platform when you need a large proprietary index, long history, contractual support, or independently validated measurement accuracy.

A good fit if you are…

  • Developers and technical SEOs comfortable with provider credentials and source code.
  • Agencies building custom client workflows through APIs, SDKs, CLI, webhooks, or MCP.
  • Teams that want retained rank and prompt history with self-hosting or exports.
  • Early GEO programs willing to validate prompts, models, regions, and data quality.

Consider another option if…

  • Non-technical teams wanting a fully managed dashboard with no setup.
  • Buyers requiring independently benchmarked citation accuracy or mature enterprise support.
  • Organizations needing a security audit, SLA, or long-standing customer evidence.
  • Teams expecting guaranteed traffic, rankings, conversions, or revenue outcomes.

02 / Scope, not promises

Features & coverage

AI-search scope

Prompt Tracker, retained answers and citations, Prompt Research, Brand Visibility, and Prompt Playground are listed on the official site.

Archived research · Official pages checked 2026-10-29.Research excerpt · AI-search prompt tracking and research
Provider boundary

Rank checks can use DataForSEO or SerpApi; the official FAQ says several research and AI-search workflows currently use DataForSEO.

Archived research · Official pages checked 2026-10-29.Research excerpt · Data and AI-visibility boundary
Independent evidence

DevHunt and GitHub activity corroborate public launch and inspectability, but no checked source provides a representative customer-review sample or GEO efficacy benchmark.

Archived research · Public activity pages checked 2026-10-29.Research excerpt · What the evidence does not prove

AI-search prompt and brand workflows

The official site lists prompt tracking, retained answers and citations, research, and brand visibility. Validate model coverage, sampling, quotas, retention, and citation rules before treating the output as a complete visibility measure.

Archived research context ↗

Provider-aware SEO data

Rank checks can use DataForSEO or SerpApi, while other research and AI-search workflows currently use DataForSEO. Provider choice affects coverage, cost, and result quality.

Archived research context ↗

APIs and agent interfaces

The official pages describe versioned REST/OpenAPI access, TypeScript/Python/Go SDKs, CLI, signed webhooks, exports, and MCP. These interfaces are pre-1.0 and may change before 1.0.

Archived research context ↗

Self-hosting and commercial boundary

Self-hosting is presented as free, while Cloud access starts at $3/month and provider usage or credits remain separate. Free source or infrastructure does not prove free unlimited checks.

Archived research context ↗

Evidence boundary

Public launch and repository activity support existence and inspectability, not citation accuracy, rankings, traffic, security, or business outcomes.

Archived research context ↗

A focused evaluation workflow
  1. Review the repository, license, provider terms, and deployment path.
  2. Choose self-hosting or Cloud and configure bounded provider credentials.
  3. Define a reproducible keyword, competitor, and prompt set.
  4. Run rank, prompt, AI-research, or brand-visibility workflows through the app or interfaces.
  5. Inspect retained answers, citations, provider, cost, and time window.
  6. Re-run the same sample after changes and validate limits, security, and operating costs.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-10-29 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Cloud pricing

Self-hosting is presented as free; Cloud access is $3/month after a seven-day free trial without a card, with separate provider keys or credits.

Archived research · Pricing page checked 2026-10-29; prices before tax.Research excerpt · Pricing and limits
License

AGPL-3.0 license shown in the public repository.

Archived research · Repository checked 2026-10-29.Research excerpt · Quick facts

Pricing context & qualifications

Self-hosting is presented as free. The official pricing page checked 2026-10-29 lists Cloud access at $3/month after a seven-day free trial without a card, with provider keys or separately purchased credits and prices before tax. Confirm weekly plan limits, provider charges, credits, retention, and checkout terms.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • AGPL-licensed and inspectable public implementation.
  • Provider-aware rank and AI-search workflows with retained history.
  • REST API, SDKs, CLI, webhooks, exports, and MCP interfaces.
  • Free self-hosting option and transparent separation of provider costs.

Reasons to pause

  • Pre-1.0 interfaces and sparse independent customer evidence.
  • Underlying SEO and AI-search coverage depends on external providers.
  • Public pages do not establish complete model coverage, prompt quotas, or retention.
  • Self-hosting is free but still requires infrastructure, security, and maintenance.

Rank checks can use DataForSEO or SerpApi; the official FAQ says several research and AI-search workflows currently use DataForSEO.

05 / Choose by the job

Alternatives to consider

Editorial fit comparisons—not performance rankings or claims that one option always wins.

Another direction / 01

OpenSEO ↗

OpenSEO · hosted usage-priced SEO/GEO workflow

Another direction / 02

SE Visible ↗

SE Visible · dedicated recurring AI-search visibility monitoring

Another direction / 03

DataForSEO ↗

DataForSEO · underlying APIs for a custom data and dashboard layer

06 / What we can substantiate

Reviews & evidence

Public feedback is sparse. DevHunt provides a recent launch and release signal, while the GitHub repository and issue tracker provide inspectability and implementation context. These sources are not representative customer reviews and do not validate prompt-tracking accuracy, citation completeness, or business outcomes.

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

SourceEvidence typeChecked
bisibility official homepage ↗Official product page
bisibility pricing ↗Official pricing page
CorgiCorner/bisibility repository ↗Official public repository
DevHunt launch page ↗Independent launch and activity surface
GitHub issues ↗Public community activity surface

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.

Evidence snapshot

SourcePublic signalWhat it supportsConfidence
Official homepageProduct, provider, AI-search, API, and self-hosting claimsVendor-stated scopeHigh for claims; not independent validation
PricingFree self-hosting; $3/month Cloud entry, seven-day trial, separate usageCurrent commercial boundaryHigh for checked vendor page
GitHub repositoryAGPL-3.0 source and pre-1.0 implementation surfaceExistence, license, inspectabilityHigh for repository facts
DevHuntRecent launch, v0.43.0, freemium/free trialIndependent launch and maturity contextMedium; not a review
GitHub issuesPublic implementation discussion surfaceCommunity transparencyLow-to-medium; not satisfaction evidence

No checked source independently validates AI citation accuracy, complete model coverage, rankings, traffic, security, uptime, or revenue impact.

Research notes & unresolved discrepancies
  • Official homepage, pricing page, and repository checked 2026-10-29.
  • DevHunt launch page showed a recent launch, v0.43.0, freemium/free trial, and AGPL-3.0.
  • Product Hunt badge was visible on the official site, but its direct page was Cloudflare-blocked and was not treated as independent evidence.
  • No checked source proves citation accuracy, rankings, traffic, conversions, revenue, security audit, uptime, or enterprise SLA.

Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.