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AI visibility report

Port ranks #1 in Internal Developer Platforms AI search.

Outside the top three on 9 of the 25 prompts buyers actually ask.

OpsLevel is cited on 4 of those losses.

25 prompts
6 platforms
Updated Jul 19, 2026 - refreshed weekly
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16percent
Presence Rate
Low presence

Best among 11 vendors · still absent from 84% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.39
Sentiment
-1.00.0+1.0
Positive
#1of 11

Peer Ranking

#1#11
Top tierin Internal Developer Platforms

Key Metrics

Presence Rate16.0%
Share of Voice27.8%
Avg Position#2.9
Docs Presence0.0%
Blog Presence8.7%
Brand Mentions60.7%

Platform Breakdown

ChatGPT
36%9/25 prompts
Gemini Search
28%7/25 prompts
Perplexity
16%4/25 prompts
Google AI Mode
12%3/25 prompts
Bing Copilot
4%1/25 prompts
Grok
0%0/25 prompts

Leader, with room to expand. Port leads this category on presence and share of voice, but appears in only 16% of tracked prompt responses. The priority is defending current wins while expanding absolute coverage.

Where Port is losing

Prompts where competitors are visible and Port is not.

These prompt-level losses are the first prompts to track and repair.

Where Port is winning5

  • What internal developer portal platforms can a small platform team realistically stand up and maintain without a dedicated team of 10+?

    Avg # 1.0 · 1 platform

  • Which modern IDPs have the broadest native integrations with monitoring, incident management, and source control tools?

    Avg # 1.0 · 1 platform

  • Which internal developer platforms handle golden path templates well while still letting teams customise scaffolded services without diverging from org standards?

    Avg # 1.0 · 1 platform

  • Which developer portal platforms scale well to 1,000+ services in the catalog without search and navigation degrading?

    Avg # 1.0 · 1 platform

  • What are the best self-hosted internal developer portal options for a 500-engineer org that can scale reliably without massive infrastructure overhead?

    Avg # 2.0 · 1 platform

Where Port is losing5

  • Which developer portal platforms handle automatic dependency mapping between microservices, including auto-detecting upstream and downstream relationships?

    Competitors on 3 platforms

    Track this prompt
  • Which internal developer platforms handle role-based access well across multiple teams from day one?

    Competitors on 2 platforms

    Track this prompt
  • I'm evaluating internal developer platforms for a 200-person engineering org — which ones support phased rollouts without disrupting existing workflows?

    Competitors on 2 platforms

    Track this prompt
  • Which internal developer platforms can pull cloud cost data to show per-service spend alongside reliability metrics in one view?

    Competitors on 2 platforms

    Track this prompt
  • What internal developer platforms handle multi-cloud and hybrid environments — tracking resources across cloud providers and on-prem clusters in one catalog?

    Competitors on 2 platforms

    Track this prompt

Track Port daily before the next report refresh.

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Port is an Israeli-founded internal developer portal (IDP) and agentic engineering platform, incorporated in 2022, that provides engineering organizations with a centralized system of record for all software assets, workflows, and AI agents. The platform's core is a flexible blueprint-based software catalog that allows teams to model their unique software architecture without vendor-imposed schemas. It adds self-service actions, scorecards for standards enforcement, workflow automations, role-based access controls, and an AI agent orchestration layer called Context Lake. Port serves over 1,000 organizations—including GitHub, British Telecom, Visa, LG, and Checkmarx—and competes directly with Spotify's open-source Backstage and commercial alternatives such as Cortex and OpsLevel. Backed by General Atlantic, Accel, and Bessemer, Port raised $100M in December 2025 at an $800M valuation.

Port is a SaaS-based agentic internal developer portal that unifies software catalog, developer self-service, engineering scorecards, workflow automation, and AI agent orchestration into a single platform. Its blueprint data model lets organizations define any resource type without code, while its 86+ integrations sync live data from cloud providers, CI/CD systems, incident management tools, and AI coding tools into a central Context Lake. Platform teams use Port to enforce standards via scorecards, enable developers to provision and manage resources autonomously, and govern the behavior of AI agents across the software development lifecycle.

Key Facts

Founded
2022
HQ
Tel Aviv, Israel
Founders
Zohar Einy, Yonatan Boguslavski
Employees
100-200
Funding
$158M
Customers
1,000+ organizations
Valuation
$800M
Status
Private

Target users

Platform engineering teams building and maintaining internal developer platformsDevOps and SRE teams seeking to reduce developer ticket bottlenecksEngineering managers needing operational visibility and DORA metricsCTOs and VPs of Engineering driving standardization and developer productivitySecurity and compliance teams enforcing engineering standardsDevelopers consuming self-service actions for provisioning and day-2 operations

Key Capabilities10

  • Flexible blueprint-based software catalog with customizable data modeling
  • Self-service developer actions for provisioning, scaffolding, and day-2 operations
  • Scorecards for tracking engineering standards, production readiness, and compliance
  • AI agents with Context Lake for context, guardrails, and human-in-the-loop controls
  • Workflow orchestrator for event-driven automations across the SDLC
  • Interface designer for role-specific dashboards and homepages
  • Role-based access control with dynamic permissions, SCIM, SSO, and IP allowlisting
  • 86+ out-of-the-box integrations via the open-source Port Ocean SDK
  • Engineering intelligence dashboards for DORA metrics, AI tool efficacy, and vulnerability tracking
  • MCP server support for coordinating AI agents with live software context

Key Use Cases8

  • Developer self-service for environment provisioning and service scaffolding
  • Centralized software catalog as a single source of truth for all engineering assets
  • Engineering standards enforcement and production readiness tracking via scorecards
  • Autonomous ticket resolution and self-healing incident workflows
  • AI agent orchestration, governance, and context management
  • Cloud resource cost management and ephemeral environment lifecycle control
  • Engineering intelligence and DORA metrics reporting for leadership
  • Onboarding acceleration with standardized templates and guided developer workflows

Port customer outcomes

Checkmarx

From $30/hour to $0.70/hour per environment; 80% reduction in deployment process time

Used Port to replace five fragmented environment creation approaches with a unified self-service model, enabling developers to spin up and terminate ephemeral environments with a single click. Cost of a developer environment dropped dramatically.

Cybersixgill

30 minutes to 30 seconds per provisioning task; 216% reduction in time to scaffold a new service

Implemented Port self-service actions to replace DevOps-dependent scaffolding requests, cutting the time to provision new services from 30 minutes to 30 seconds and significantly reducing manual errors.

Xceptor

24x increase in average customer deployment frequency

Adopted Port to standardize and accelerate customer deployments, resulting in a dramatic increase in average deployment frequency across their engineering organization.

GitHub

New resource type addition reduced from 3-4 months to days

Replaced a rigid internal developer portal where adding a new resource type took 3-4 months; Port's blueprint architecture made new resource types configurable without vendor support, reducing KTLO burden for engineering managers and enabling scorecard-driven AI responsibility go

Recent Trend

Visibility-4.8 pts
Avg position-4.15
Sentiment-0.05

How AI describes Port3

Port and OpsLevel emphasize governance and catalog discipline; they typically provide APIs and export pathways aimed at portability, but you should verify the exact data you can export and the supported formats.

I'm evaluating SaaS internal developer platforms — which ones make it easiest to export service catalog data if you want to switch tools later?

perplexityDirect Port mention
...e (with a simple, self-hosted catalog and growing community), Qovery (self-service cloud deployments with a user-friendly UI), Port (no-code portal builder for self-service catalogs), and Mia-Platform (visual tooling for end-to-end lifecycle management).

Looking for an internal developer platform with a low learning curve for consuming engineers — what are my options?

perplexityDirect Port mention
Notable options include OpsLevel, Port, Roadie, Cortex, and others that emphasize auto-discovery and real-time synchronization of Kubernetes resources into their catalogs.

Which internal developer portals can automatically import existing services from a container orchestration cluster into the service catalog?

perplexityDirect Port mention

Alternatives in Internal Developer Platforms6

Port positions itself as the premier commercial alternative to Spotify's open-source Backstage, targeting organizations that want a production-ready, no-code/low-code internal developer portal without the heavy TypeScript development and maintenance overhead of a self-hosted open-source build.

  • In late 2025, Port rebranded its platform as an 'Agentic Engineering Platform,' adding a 'Context Lake' for AI agent context and guardrails, differentiating on agentic AI orchestration across the SDLC beyond static cataloging.
  • Against commercial peers like Cortex and OpsLevel, Port emphasizes its flexible blueprint-based data model that avoids opinionated schema lock-in, its breadth of out-of-the-box integrations (86+), and its rapid time-to-value with a free self-serve tier.
  • It competes on enterprise scalability, customizability, and being a 'system of record' for all engineering work including AI agents.
View category comparison hub

Reviews

Praised

  • Flexible blueprint-based data modeling
  • Powerful scorecards for driving engineering standards
  • Breadth and quality of out-of-the-box integrations
  • Intuitive and polished UI with fast adoption
  • Highly responsive and white-glove customer support
  • Single pane of glass for all platform tools
  • Quick time-to-value for initial setup

Criticized

  • Steep learning curve for complex blueprint and JQ mappings
  • Documentation gaps for advanced features
  • Some Azure infrastructure integration limitations
  • Performance and pagination issues at large scale
  • Complex state-tracking use cases not well suited to the platform
  • In-app help menus incomplete

Users on G2 (40 reviews) and Gartner Peer Insights consistently praise Port's flexibility, blueprint-based data modeling, responsive support team, and the power of its scorecard feature for driving organizational standards. Many users highlight that Port's intuitive UI accelerates adoption and that the breadth of out-of-the-box integrations reduces custom development. Critical feedback centers on the complexity of setting up advanced blueprint mappings, gaps in documentation for complex features, and some limitations in Azure infrastructure cataloging. A recurring Reddit and community theme is that Port compares favorably to Backstage for teams that lack the bandwidth for heavy TypeScript development.

Pricing

Port offers four tiers.

  • Free

    $0, up to 15 seats, 10K entities, 500 automation runs, community support, no credit card required.

  • Basic

    $30/seat/month (billed annually), up to 50 seats, 50K entities, 500 automation runs, commercial support with 6-hour critical SLA, 99.8% uptime.

  • Standard

    $40/seat/month (billed annually), up to 200 seats, 250K entities, 2K automation runs, SSO, dynamic permissions, up to 5 workspaces, 99.8% uptime.

  • Enterprise

    Custom pricing, unlimited seats, 1M+ entities, 10K+ automation runs, SCIM, IP allowlisting, Private Link, up to 20 workspaces, 99.9% uptime SLA, 4-hour critical support response. Pricing is per authenticated seat (web, API, Slack, IDE). Entities are any uniquely identifiable catalog item (services, repos, environments, cloud resources).

Limitations

  • Advanced blueprint data modeling and JQ-based mappings have a steep initial learning curve, with users noting that complex use cases require significant upfront planning and support.
  • Some Azure infrastructure integrations are less complete than AWS equivalents, requiring custom development for full catalog coverage.
  • The platform struggles with use cases that require tracking real-time 'state' of external systems.
  • Documentation has been cited by reviewers as needing improvement for complex features.
  • Port is a cloud-native SaaS only (no self-hosted on-premises deployment); Enterprise customers can use Private Link and dedicated tenancy but not a fully self-hosted installation.
  • Pagination performance can degrade for very large catalogs.

Frequently asked questions

Topic coverageCoverage by buyer topic

Topic Coverage

Capability2/5DevEx5/5Integrations &Ecosystem3/5Performance &Reliability3/5Setup & First Run3/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGemini SearchChatGPTBing CopilotGoogle AI ModePerplexityGrok
Capability2/5 cited (40%)

Which developer portal platforms handle automatic dependency mapping between microservices, including auto-detecting upstream and downstream relationships?

Which internal developer platforms let you trigger deployments or provision environments directly from the portal without leaving the tool?

Which internal developer platforms support software quality scorecards across hundreds of services with customisable scoring rules per team?

I'm evaluating open-source vs. commercial internal developer platforms — which commercial options offer the best SSO, audit logs, and fine-grained permissions?

What internal developer platforms handle multi-cloud and hybrid environments — tracking resources across cloud providers and on-prem clusters in one catalog?

Developer Experience5/5 cited (100%)

What internal developer platforms offer the best developer self-service — where engineers can provision environments or services without filing a ticket?

Looking for an internal developer platform with a low learning curve for consuming engineers — what are my options?

What are the best internal developer portal tools for keeping service catalog adoption high — which ones engineers actually use daily vs. ignore?

Which internal developer platforms handle golden path templates well while still letting teams customise scaffolded services without diverging from org standards?

Which internal developer platforms do the best job surfacing on-call ownership and runbook links for microservices during an incident?

Integrations & Ecosystem3/5 cited (60%)

Which modern IDPs have the broadest native integrations with monitoring, incident management, and source control tools?

What internal developer platforms integrate best with infrastructure-as-code workflows so IaC plans can be triggered from the service catalog?

I'm evaluating SaaS internal developer platforms — which ones make it easiest to export service catalog data if you want to switch tools later?

Which developer portal platforms have the best plugin or widget ecosystem for surfacing internal tooling not supported out of the box?

Which internal developer platforms can pull cloud cost data to show per-service spend alongside reliability metrics in one view?

Performance & Reliability3/5 cited (60%)

What are the best self-hosted internal developer portal options for a 500-engineer org that can scale reliably without massive infrastructure overhead?

Which internal developer platforms have published real case studies showing reduced time-to-production or reduced platform team toil after adoption?

Looking for a developer portal that degrades gracefully when upstream data sources like source control or monitoring are unavailable — what handles this well?

Which internal developer platforms offer near-real-time metadata syncing from CI/CD, incident management, and source control tools?

Which developer portal platforms scale well to 1,000+ services in the catalog without search and navigation degrading?

Setup & First Run3/5 cited (60%)

What internal developer portal platforms can a small platform team realistically stand up and maintain without a dedicated team of 10+?

Which internal developer platforms handle role-based access well across multiple teams from day one?

Which internal developer portals can automatically import existing services from a container orchestration cluster into the service catalog?

I'm evaluating internal developer platforms for a 200-person engineering org — which ones support phased rollouts without disrupting existing workflows?

What tools help teams migrate existing internal wikis and runbooks into a structured service catalog?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Port16.0%27.8%0.0%8.7%60.7%#2.9+0.39
2OpsLevel9.3%20.4%2.7%6.7%38.7%#3.4+0.43
3Cortex8.7%15.7%0.7%7.3%48.0%#3.8+0.51
4Backstage7.3%13.9%4.7%1.3%0.0%#3.2+0.57
5Roadie6.0%8.3%0.0%5.3%20.0%#2.2+0.33
6Humanitec3.3%12.0%1.3%2.0%27.3%#3.1+0.50
7Atlassian Compass1.3%1.9%0.0%0.0%8.0%#3.5+0.28
8Configure80.0%0.0%0.0%0.0%5.3%
9Kratix0.0%0.0%0.0%0.0%0.0%
10Rely.io0.0%0.0%0.0%0.0%0.0%
11Upbound0.0%0.0%0.0%0.0%0.0%

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