Cheap Seats ↗
A narrower self-hosted AI-visibility tracker is preferred.
← All toolsAnother direction / 01 Another direction / 02 Another direction / 03
The selection guideSource-backed research ↗
AI Search Monitoring / Open-source desktop SEO workspace with AI visibility research
SEOmi
Open-source desktop SEO workspace with AI visibility and citation research
AI visibility researchTechnical SEOCrawling and semantic planningLocal evidence workflows
Why it stands out
Project-first local workflow combines SEO and AI-visibility evidence.
Source review: · Public-source research, not a hands-on test
↗ Best for
SEO practitioners wanting local, inspectable project evidence.
! Know before you buy
No checked source proves citation precision, repeatability, customer satisfaction, traffic lift, conversion impact, or revenue attribution.
01 / Editorial assessment
Is SEOmi for you?
The AICiteKit take
SEOmi is a credible early open-source option for practitioners who want local project storage and AI-visibility research alongside conventional SEO evidence. The repository documents macOS/Windows support, GPLv3 licensing, audits, crawling, semantic maps, Search Console and DataForSEO connections, and recorded AI questions, mentions, competitors, and citations. Evidence is stronger for identity, scope, implementation, and activity than for efficacy: no checked source proves citation precision, repeatability, customer satisfaction, traffic lift, or revenue outcomes. Pilot it with frozen questions, providers, models, markets, raw answers, and manual adjudication.
A good fit if you are…
- SEO practitioners wanting local, inspectable project evidence.
- Small teams combining technical SEO with AI-visibility research.
- Operators comfortable managing provider accounts and desktop software.
Consider another option if…
- Buyers needing managed SaaS onboarding or public subscription plans.
- Teams requiring independently benchmarked citation accuracy.
- Organizations expecting guaranteed rankings, traffic, or revenue outcomes.
02 / Scope, not promises
Features & coverage
- AI visibility workflow
Brand lookup, customer-question prompts, repeated runs, model/provider comparison, mentions, competitor observations, cited URLs, and visibility history.
Archived research · README checked 2026-10-31Research excerpt · AI visibility and citation evidence- Delivery model
Native desktop application for macOS and Windows with public GPLv3 source.
Archived research · Repository and README checked 2026-10-31Research excerpt · Quick facts- Community activity
GitHub snapshot: 38 stars, 4 forks, and 55 open issues on 2026-10-31; activity is not a quality score.
Archived research · GitHub API checked 2026-10-31Research excerpt · Quick facts
AI visibility and citation records
Record customer questions, repeated runs, provider metadata, mentions, competitors, positions, cited URLs, and visibility history.
Local SEO evidence workspace
Keep audits, crawls, semantic maps, keywords, rankings, first-party search data, and AI observations inside named projects.
Open-source operator control
Use the GPLv3 repository as an inspectable source path, while budgeting for providers, desktop setup, maintenance, and security.
Evidence boundary
No checked source establishes citation accuracy, customer satisfaction, causal lift, or business outcomes.
A focused evaluation workflow
- Create a local project and scope SEO and AI evidence to it.
- Run audits, crawls, semantic and rank workflows with configured providers.
- Define customer questions and inspect repeated AI mentions, competitors, positions, and citations.
- Export raw evidence and manually adjudicate a sample before interpreting change.
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-10-31 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- License
GNU GPLv3 or later according to the repository license and README.
Archived research · Repository checked 2026-10-31Research excerpt · Quick facts
- Delivery model
Native desktop application for macOS and Windows with public GPLv3 source.
Archived research · Repository and README checked 2026-10-31Research excerpt · Quick facts
Additional costs & usage boundaries
- AI visibility workflow
Brand lookup, customer-question prompts, repeated runs, model/provider comparison, mentions, competitor observations, cited URLs, and visibility history.
Archived research · README checked 2026-10-31Research excerpt · AI visibility and citation evidence
Your buying checklist
Get these answers first.
- Which OS builds and release packages are currently supported?
- Which providers, models, markets, languages, quotas, and API costs apply?
- Can raw answers, citations, timestamps, and configuration metadata be exported?
- How do automated mention and citation results compare with human review?
Pricing context & qualifications
No recurring SaaS price or hosted plan matrix was found. The repository is GPLv3, but providers, APIs, setup, maintenance, and infrastructure may incur costs.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Project-first local workflow combines SEO and AI-visibility evidence.
- GPLv3 source makes implementation and self-inspection possible.
- README documents provider, release, privacy, and outcome boundaries.
- Current public activity provides bounded community-interest context.
Reasons to pause
- No public SaaS price, hosted plan, support terms, or API quota matrix found.
- AI coverage depends on configured providers, models, markets, and release version.
- No independent review sample or controlled efficacy benchmark found.
- Provider usage, setup, maintenance, and security remain operator responsibilities.
No checked source proves citation precision, repeatability, customer satisfaction, traffic lift, conversion impact, or revenue attribution.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
CiteLadder ↗
Hosted trial access and citation/Agent workflows matter.
GEO Metrics ↗
A managed monitoring dashboard is the priority.
06 / What we can substantiate
Reviews & evidence
Public evidence is stronger for identity, scope, license, implementation, and activity than for efficacy or customer satisfaction.
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 |
|---|---|---|
| SEOmi GitHub repository ↗ | Official public repository and product documentation | |
| SEOmi README ↗ | Official product scope, workflow, limits, and verification documentation | |
| GitHub API repository metadata ↗ | Current public activity and community signal; not efficacy evidence | |
| SEOmi releases ↗ | Official release surface and release-process boundary | |
| SEOmi GPLv3 license ↗ | Official open-source license |
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 product identity, documented scope, license, and activity; low confidence for citation accuracy, repeatability, customer satisfaction, traffic, and revenue outcomes.
Research notes & unresolved discrepancies
- GitHub stars, forks, issues, commits, and tests are community or implementation signals, not customer satisfaction or efficacy evidence.
- The README and repository are vendor-controlled sources.
- A direct read of seomi.app failed in this pass; the repository is used as the canonical URL and points to damtox.pl as homepage.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.