Bloomiro
Summary
You're watching your Google rankings hold steady while competitors get cited in ChatGPT and AI Overviews for the exact queries you rank for — and your existing SEO dashboard shows none of it. Bloomiro is built for that gap.
Bloomiro connects Google Search Console data to a separate layer of AI answer tracking — running prompts on ChatGPT, Perplexity, and AI Overview to log when your brand is mentioned, cited, or absent. The combined view shows clicks and impressions from GSC alongside which prompts surface you versus a competitor, so prioritization stops being a guess. The task engine translates those gaps into specific actions: add a compare page, build content around a missing query, target a prompt a rival is owning. Where it strains is depth — teams running enterprise-scale content programs or needing historical trend data across hundreds of prompts will hit the ceiling of what a freemium-tier dashboard can hold.
Bottom line: Pick Bloomiro if you're a SaaS team that wants Google and AI answer tracking in one view without stitching together three tools — but plan to outgrow it if you need bulk prompt testing at scale or API access to pipe the data into your own reporting stack.
Pricing Plans
Subscription- Price
- $44/month billed yearly
Builder
1 site, MCP access, task system, visibility analysis, page scan, AI visibility monitoring
- 1 site
- MCP access
- Task system
- Visibility analysis
- Page scan
- AI visibility monitoring
View full pricing on bloomiro.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Google Search Console and AI answer tracking in one dashboard, so you stop manually cross-referencing GSC exports against separate AI monitoring tools to understand where traffic gaps come from.
- Prompt-level competitor tracking across ChatGPT, Perplexity, and AI Overview, which means you see exactly which queries your competitors are getting cited for that you are not — without running those prompts by hand.
- Automated task generation from competitor and prompt gaps, so visibility data translates into a working backlog rather than a report that sits unread.
- Sentiment scoring on AI answers alongside citation tracking, which lets you distinguish between being mentioned favorably and being mentioned as a cautionary example — a distinction that matters when briefing content teams.
Cons
Sign in to edit- No API access is described on the vendor page, which means teams that report into a data warehouse or pipe SEO data into a BI tool are stuck with manual exports — at the point where you need Bloomiro data inside Looker or a custom dashboard, you're maintaining a workaround or switching to a tool with an API.
- Prompt library scale is not specified, but the freemium structure and single paid tier suggest hard limits on how many prompts and competitors you can track concurrently — teams managing 10+ competitors across 50+ tracked queries will hit those limits and either accept reduced coverage or move to a purpose-built AI visibility platform with enterprise capacity.
- No self-hosted option exists, so teams with data residency requirements or strict third-party data policies cannot use the platform regardless of budget — that's a hard blocker, not a configuration problem.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-08T20:42:10.218Z
Best For
Who it's for
- SaaS teams managing SEO and AI visibility
- Founders tracking multiple competitors
- Teams needing unified Google and generative engine data
What it does well
- Track brand visibility across Google and AI search engines
- Identify competitor gaps in AI answers and content
- Prioritize SEO tasks using impressions, clicks, and prompt data
- Compare rankings, citations, and share metrics in one view
Integrations
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Frequently Asked Questions
- Is Bloomiro free?
- Bloomiro has a permanent free tier alongside paid upgrades (paid plans from $44/month billed yearly). You can keep using a baseline version indefinitely without paying.
- Is Bloomiro open source?
- No — Bloomiro is a closed-source tool. Source code is not publicly available.
- What platforms does Bloomiro support?
- Bloomiro is available on: Web.
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Curated lists that include this category
SEO tools built before generative AI became a traffic channel leave you flying half-blind: you know your Google position but not whether you’re getting cited when someone asks ChatGPT which tool to use. Bloomiro addresses that by pulling Google Search Console into the same dashboard where it runs tracked prompts against ChatGPT, Perplexity, and AI Overview. The setup flow is direct — connect your site, add GSC, pick competitors, and define the AI questions you want monitored. From there, the platform logs brand mentions, citations, and competitor appearances per prompt, then surfaces keyword data from matching GSC queries alongside them.
The differentiating feature is the task layer. Rather than leaving you to interpret a visibility report yourself, Bloomiro translates gaps into queued work items: a competitor is cited on a prompt you’re absent from, a content type you’re missing is flagged as the likely cause, and a specific page action is recommended. The vendor describes this as turning missed prompts and competitor gaps into tasks you can work through — which means the output isn’t just a dashboard you check, it’s a prioritized list of what to build or fix next.
Bloomiro fits SaaS teams and founders who are managing SEO alongside AI visibility without the budget or overhead for separate specialist tools. It does not offer self-hosting, and the vendor page does not describe API access, which rules it out for teams that need to feed this data into a data warehouse or custom analytics layer. Teams with large competitor sets or prompt libraries will also find the platform’s scale constraints surface quickly — the freemium tier is structured around a 7-day trial leading to a paid Builder plan, and there is no indication of enterprise-tier capacity described on the vendor page.
The MCP integration is mentioned on the vendor’s navigation as a distinct offering, suggesting there is a model context protocol layer available — but the scraped page does not describe its scope or which workflows it supports, so teams evaluating that feature will need to assess it separately before building a dependency on it.