InfrasityvsPeec AI

Infrasity vs Peec AI: closed execution loop or polished self-serve analytics?

Peec AI is polished, self-serve AI-visibility analytics with 6 selectable engines, built for general brand teams. Infrasity is built for developer-facing products instead, and it doesn't stop at reporting: a citation gap turns into a shipped, measured piece of content without switching tools.

By Infrasity Team · Updated August 6, 2026

Monitoring specialistsBest fitLegacy add-onsExecution nicheAI-nativeSEO-nativeLess actionMore action
Peec AI

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 Peec AI?

Closed execution loop

A citation gap turns into a sprint topic, gets written up, and its traffic gets checked against GA4 and Search Console automatically, without leaving the dashboard. Peec surfaces AI-suggested prompts and content-placement tips, but it won't take you all the way to a shipped article.

Reddit citation tracking

Infrasity checks Reddit daily across three separate data sources and cross-references them automatically. Peec lets you filter its Sources view for Reddit threads too, but there's no dedicated, automated Reddit tracking on its site, just a manual filter inside the general source list.

Docs & coding-agent readiness

A 57-check docs/llms.txt audit, plus an early-access coding-agent benchmark, tests whether AI agents can actually use your documentation. That's outside what Peec's general brand-analytics tooling covers.

Search pages, prompts, audits…⌘K

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

Sprint 145 topicsClick a row for details
TopicKeywordMSVOwnerStatusPublishedClicks
How AI agents crawl and index docsAI agents crawling880R. MehtaPublishedJul 24214
Reddit citation triangulation, explainedreddit citation tracking320K. RaoPublishedJul 2796
GEO vs. SEO: what actually changedGEO vs SEO1,900R. MehtaIn Review By Client
Structured data checklist for AEOstructured data AEO540S. IyerWriting Stage By Infrasity
Coding-agent doc readiness benchmarkcoding agent docs260K. RaoOutline Stage

Compare Infrasity vs Peec AI

Infrasity
Peec AI
AI Coverage & Tracking
AI engines
ChatGPT, Claude, Gemini, and Perplexity, checked on an automated 48-hour cron; all four are included from the free trial
6 engines to choose from (ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity, Gemini). Every plan includes 3 of them, and third-party pricing breakdowns say extra engines cost more, though Peec doesn't spell out the add-on price itself
Citation & Competitive Intelligence
Reddit / community citation tracking
Runs daily, cross-checking Reddit via OAuth, DataForSEO, and BrightData, then re-ranks results with Jina
No dedicated Reddit feature; Peec's Sources view lets you filter for Reddit threads manually, alongside every other cited domain
Publication / source identification
Included via GEO Competitors + Citation Domains views
Included. Peec shows which domains and publications show up most often in AI answers
Competitor benchmarking
LLM auto-detects competitors you didn't manually add
Included. You add your own prompts and benchmark against competitors you name
Coding-agent code-execution benchmarking
Early access, infrasity-only today
Not available
Actionability & Content
Sprint ↔ Google closed loop
Gap becomes topic, topic ships as an article, and GA4 + GSC data gets joined to it automatically. This is the core of the product
Not part of Peec. It surfaces AI-suggested prompts and digital-PR/content-placement ideas, but nothing that carries through to a shipped, measured piece of content
Docs / llms.txt AI-readiness audit
57-check docs/llms.txt audit, including MCP and AGENTS.md file checks
Not something Peec offers
Automation & Reporting
Scheduled reporting
A Claude-written weekly Slack report ships natively, no human has to assemble it
Peec doesn't have a native scheduled-report feature inside the app itself, though its MCP integration (live on all paid plans) lets you wire up automated Slack or email reports through Claude or n8n. CSV export and a Looker Studio connector are also available from the Advanced tier
Alert rules (citation drop / competitor gain)
Included natively, no setup required
No built-in alerting inside the app, but the MCP integration can trigger Slack alerts on a sentiment or citation drop if you build the workflow yourself
Custom / shareable dashboards
Included, per-cluster and per-competitor views, native
Looker Studio dashboards, but only from the Advanced tier up
Integrations
GA4 integration
Native, plus auto-joined to published articles
No native GA4 integration; it's bridged through the Looker Studio connector, and that's Advanced tier and up
Search Console integration
Native
Not published
MCP / AI-assistant access
59 tools (confirm current rollout)
Peec MCP is live and included free on every paid plan, per Peec's own blog; it connects Peec's data to Claude, Cursor, and n8n, though it's read-only today with limited write access for editing project config
Pricing & Access
Free trial
Yes, all 4 tracked engines included
Peec does offer a free trial (the button literally says "Start Free Trial"), but it doesn't say how long anywhere on the site; third-party sources put it at 14 days
Pricing
Free trial today; paid tiers beyond that aren't published yet
Peec keeps its own pricing page free of dollar figures, only feature tiers (Starter, Pro, Advanced, Enterprise). Third-party breakdowns put those at roughly $95/mo, $245/mo, and $495/mo respectively, with custom Enterprise pricing, but those numbers come from outside sources, not Peec itself
Enterprise & Compliance
SOC 2 / compliance
Displays an AICPA SOC compliance badge and a GDPR badge in its site footer; the specific SOC report type isn't stated
peec.ai/security returns a 404 today, and there's no other dedicated trust or security page we could find, so this isn't published anywhere on their site
Single sign-on (SSO)
SAML SSO included at Enterprise
Included, but only at the custom-priced Enterprise tier

Where each one is stronger

Being balanced builds trust, here’s where the other side genuinely has the edge.

Where Peec AI is stronger

  • A wider engine selection, 6 to choose from including Google AI Mode, AI Overviews, and Microsoft Copilot
  • A clean, self-serve UI built with general marketing and brand teams in mind
  • API access and a Looker Studio connector once you're on the Advanced tier
  • Named-competitor benchmarking and source/publication identification, both built into the core dashboard

Where Infrasity is stronger

  • A 57-check docs/llms.txt audit, including MCP and AGENTS.md file checks, made for developer-facing products specifically
  • The Sprint-to-Google loop: a citation gap becomes a shipped article, and its GA4/GSC traffic gets joined automatically
  • Automated, daily 3-source Reddit citation triangulation, something Peec doesn't offer as a dedicated feature (it only lets you filter general sources for Reddit)
  • A free trial that covers all 4 tracked engines, nothing to pay upfront and no per-engine add-on pricing
  • Native GA4 and Search Console integrations, not a Looker Studio workaround stuck behind a paid tier
  • An alert rules engine 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.

TeamRecommendedWhy
DevTool / API / AI-agent companyInfrasityDocs/llms.txt readiness and Reddit tracking line up with how developer audiences actually get cited, and that's not really Peec's focus.
General marketing or brand team that wants polished self-serve analyticsPeec AIPeec is built for general brand AI-visibility tracking, not developer docs.
Startup validating AI visibility before committing budgetInfrasityThe free trial covers all 4 tracked engines, nothing to pay upfront, no per-engine add-ons.
Team that wants to choose which of 6 engines to trackPeec AIPeec's plans let you pick 3 of 6 engines, and it covers AI Mode, AI Overviews, and Copilot, none of which Infrasity tracks.
Team that wants a tracked gap to become shipped content automaticallyInfrasityThe Sprint-to-Google loop handles that inside the same workspace, no separate tool needed.

Frequently asked questions

It's the core of Infrasity, honestly. When a citation gap shows up, meaning a prompt or topic where you're not getting cited, it becomes a sprint topic automatically. That sprint gets written up into an article, and once it's published, its GA4 and Search Console traffic gets joined back to it automatically, all inside the same dashboard. You never have to leave the tool to hand a gap off to a writer or pull traffic numbers manually afterward. Peec surfaces AI-suggested prompts and content-placement tips, which is useful on its own, but it doesn't carry a gap through to a shipped, measured piece of content the way this loop does.

It runs a daily automated cron that cross-checks Reddit through three separate sources, OAuth, DataForSEO, and BrightData LLM-answer scraping, then re-ranks the results with Jina before handing live cited threads straight into a sprint. It's a dedicated, automated feature, not a manual filter. Peec, by comparison, lets you filter its general Sources view for Reddit threads, but there's no dedicated Reddit tracking published on their site.

Infrasity publishes 59 MCP tools (worth confirming current rollout status if that number matters for your use case). For comparison, Peec also shipped an MCP integration, free on every paid plan, connecting Peec's data to Claude, Cursor, and n8n, though it's read-only today with limited write access for editing project config. Peec's standalone API access, separately, only kicks in from its Advanced tier.

Developer-facing products specifically: DevTool, API, and AI-agent companies whose audiences actually get cited through docs, Reddit threads, and developer communities rather than general brand mentions. That's why the docs/llms.txt audit and the Reddit-tracking depth exist. If you're a general marketing or brand team looking for polished self-serve analytics across a wide set of engines, Peec is built more directly for that.

Infrasity checks four: ChatGPT, Claude, Gemini, and Perplexity, all included from the free trial, no add-ons needed. Peec AI technically offers more choice, six total including Google AI Mode, AI Overviews, and Microsoft Copilot, but each plan only bundles three by default, and third-party pricing breakdowns say extra engines cost more. So it depends what you're after: breadth of engine choice, or fewer engines fully included with nothing extra to pay.

Peec doesn't publish dollar figures on peec.ai itself, honestly; its pricing page only shows feature tiers (Starter, Pro, Advanced, Enterprise), gated by things like projects, countries, support level, API access, and SSO. Third-party breakdowns put Starter around $95/mo, Pro around $245/mo, and Advanced around $495/mo, but Peec hasn't confirmed those numbers, so double-check at peec.ai before relying on them.

We couldn't find a dedicated security or trust page on peec.ai (peec.ai/security 404s), so there's nothing to confirm either way on SOC 2.

Not published anywhere we could find. Ask the Infrasity team directly rather than assuming a migration or import feature exists.

We checked Peec AI's engine list and plan structure (projects, countries, support tier, API access, SSO gating, and its MCP integration) directly against peec.ai/pricing on August 6, 2026. Peec doesn't publish dollar pricing or free-trial length on its own site, so the figures used here (roughly $95/$245/$495 per month, a 14-day trial) come from third-party pricing breakdowns, not from Peec. Check peec.ai for current numbers before republishing any of this.

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