Infrasity vs Otterly.AI: closed execution loop or broad self-serve tracking?
Otterly.AI tracks 7 AI engines with transparent, self-serve pricing starting at $29/mo. Infrasity tracks fewer engines, but when it finds a citation gap, it turns that into a shipped, measured piece of content without you leaving the app.
By Infrasity Team · Updated August 6, 2026
A clean tracking tool with a limited execution layer beyond visibility reporting.
Click any name on the map to see why it’s placed there
Why choose Infrasity over Otterly.AI?
Closed execution loop
Find a citation gap, turn it into a sprint topic, ship the article, and watch its GA4 and Search Console traffic show up against it automatically. Otterly's recommendations engine stops at the brief; it doesn't carry you through to a published, measured piece.
Reddit citation tracking
Every day, an automated process checks Reddit across three separate data sources. Otterly doesn't call out Reddit or community tracking anywhere in its published feature list.
Docs & coding-agent readiness
A dedicated audit, plus an early-access benchmark, checks whether AI coding agents can actually use your docs. That's a step past Otterly's crawlability and content-structure checks, which are built for general web content, not dev docs specifically.
Analytics
Action
Views
Clusters
Sprints
Content Sprints
Manage delivery sprints and track progress — everything below is clickable
Outline Stage
4
Writing Stage By Infrasity
1
In Review By Client
1
Published
6
| Topic | Keyword | MSV | Owner | Status | Published | Clicks |
|---|---|---|---|---|---|---|
| How AI agents crawl and index docs | AI agents crawling | 880 | R. Mehta | Published | Jul 24 | 214 |
| Reddit citation triangulation, explained | reddit citation tracking | 320 | K. Rao | Published | Jul 27 | 96 |
| GEO vs. SEO: what actually changed | GEO vs SEO | 1,900 | R. Mehta | In Review By Client | — | — |
| Structured data checklist for AEO | structured data AEO | 540 | S. Iyer | Writing Stage By Infrasity | — | — |
| Coding-agent doc readiness benchmark | coding agent docs | 260 | K. Rao | Outline Stage | — | — |
Compare Infrasity vs Otterly.AI
Where each one is stronger
Being balanced builds trust, here’s where the other side genuinely has the edge.
Where Otterly.AI is stronger
- Covers more engines out of the box: 7 in total, including Google AI Overviews, Google AI Mode, and Microsoft Copilot, none of which Infrasity tracks today
- API and MCP access built in from the $189/mo Standard tier, with clear published request caps
- Visibility tracking across 65+ countries and languages
- Pricing is public and tiered, starting at $29/mo, with an easy self-serve path to upgrade
- A 7-day free trial requiring no credit card
Where Infrasity is stronger
- The Sprint-to-Google loop: a citation gap turns into a shipped article, and its GA4/GSC traffic gets joined to it automatically
- Daily 3-source Reddit citation triangulation, something Otterly doesn't publish as a feature
- A 57-check docs/llms.txt audit and an early-access coding-agent benchmark, built with developer-facing products in mind
- A free trial that covers all 4 tracked engines and costs nothing to start
- Native GA4 and Search Console integrations, not a Looker Studio workaround
- Alert rules and an AI-written weekly Slack report, both included out of the box
Which tool should you choose?
Find your team’s focus to see which platform fits your workflow best.
Frequently asked questions
Four right now: ChatGPT, Claude, Gemini, and Perplexity, checked automatically every 48 hours, and all four come included in the free trial with nothing tacked on. Otterly.AI covers more out of the box, 7 engines total, but three of those (Claude, Gemini, and Google AI Mode) cost extra on top of its base plan. So it's less 4 vs 7 and more 4 included vs 4 included plus three paid add-ons.
That's really the core of the product, the Sprint ↔ Google loop. A citation gap gets flagged, turned into a sprint topic, and once the article ships, its GA4 and Search Console traffic gets joined back to it automatically, no manual tracking involved. Otterly gives you optimization briefs and content recommendations, which is genuinely useful, but it stops there; nothing in its published feature set carries a recommendation through to a shipped, measured article.
A daily automated process triangulates across three separate sources, Reddit OAuth, DataForSEO, and BrightData's LLM-answer scraping, then reranks the results with Jina before handing cited threads straight into a sprint. Otterly does mention Reddit as an example citation source on its marketing pages, but as of August 2026 there's no dedicated Reddit-tracking feature in its published docs.
Mainly dev-tool, API, and AI-agent companies, honestly. The docs/llms.txt audit, the early-access coding-agent benchmark, and the Reddit and developer-community citation tracking are all built around how developer audiences actually get cited by AI engines. That said, the core loop, a citation gap becoming a shipped article with its traffic measured automatically, isn't developer-specific; it works for any team publishing content to close a visibility gap.
Four published tiers: Lite at $29/mo (15 prompts, 4 engines), Standard at $189/mo (100 prompts, API/MCP access, Looker Studio connector), Premium at $489/mo (400 prompts, higher API/MCP caps), and Enterprise, which is custom-priced and includes SSO plus a dedicated success manager. Extra prompts and the extra engines (Claude, Gemini, AI Mode) cost more on top. Infrasity hasn't published what its paid tiers look like beyond the free trial.
Not as a company, no. Its security page traces its SOC 2 Type II and ISO 27001 mentions back to AWS, its hosting provider, not to Otterly.AI itself. Infrasity's footer displays an AICPA SOC compliance badge alongside a GDPR badge, but doesn't specify which SOC report type, so treat both companies as not having published a specific SOC 2 attestation of their own.
Yes, starting on its $189/mo Standard tier, with published caps (2,000 requests/mo on Standard, 5,000 on Premium). Infrasity lists 59 MCP tools, worth confirming what's actually live before you build around it.
Honestly, not published anywhere. Worth checking directly with the Infrasity team before assuming a migration or import path exists.
We checked Otterly.AI's pricing, engine coverage, integrations, reporting, and security claims directly against otterly.ai/pricing, otterly.ai/features, otterly.ai/security, and help.otterly.ai as of August 6, 2026. Numbers like these shift, so double-check before republishing anything from this page.
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