Overall AI readiness score
A combined result across all audit signals.
Average
AI readiness audit: 9/24/2026Public technical data
Overall AI readiness assessment
How ready feedbackpulse.com is for AI systems
FeedbackPulse (feedbackpulse.com) received an AI-readiness score of 67/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was not found, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 2 declared sitemaps. Homepage markup completeness was 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-09-24T01:49:26.822Z.
Audit context
llms.txt is accessible and contains 2,002 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 2. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.
The mobile Lighthouse profile adds Performance 70/100, Accessibility 97/100, Best Practices 96/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- 2 sitemap declarations
- Strong Google agentic signals
Priority improvements
- 1Add llms-full.txt for richer first-party context.
- 2Add JSON-LD for the organisation, website, and core entities.
- 3Complete OpenGraph and canonical homepage metadata.
- 4Reduce mobile rendering delay and main-thread work.
llms.txt tokens2,002
llms-full.txt tokens—
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
70
Performance
97
Accessibility
96
Best Practices
100
Technical SEO
100
Agentic Browsing
What these results mean
Mobile performance is 70/100, with the largest visible content block appearing in 6.4 s and the browser main thread blocked for 30 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 97/100, Best Practices 96/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Free the main thread and accelerate the first view
Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.
2
Reduce code that loads without helping the page
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
3
Optimise images and their loading order
Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.
4
Reduce network delay
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
FCP3.5 s
First content
LCP6.4 s
Main content
CLS0
Layout stability
TBT30 ms
Blocking time
SI3.5 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
9/24/2026Lighthouse 13.5.0Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
llms-full.txt
Full version was not found
ai.txt
ai.txt file was not found
Sitemap in robots.txt2
2 sitemaps found
Schema.org (JSON-LD)
Schema.org markup was not found on the homepage
OpenGraph
OpenGraph tags were not found on the homepage
AI bot access
Based on robots.txt analysis
GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned
Sitemaps
Declared discovery routes for crawlers and agents.
# FeedbackPulse > FeedbackPulse is employee feedback software for growing teams. It helps HR leaders, founders, and managers run engagement surveys, pulse surveys, performance reviews, and peer reviews in one place, then turn results into trends, reports, and clear next actions. It is built for organizations that want fast setup and actionable feedback without buying a full HRIS. FeedbackPulse focuses on employee feedback workflows: measuring sentiment, running review cycles, collecting peer input, protecting trust, and helping managers act on results. It is not payroll, benefits, applicant tracking, time-off, or recruiting software. ## Core Product - [FeedbackPulse Home](https://feedbackpulse.com): Main product overview and positioning for the platform. - [Engagement Surveys](https://feedbackpulse.com/features/engagement-surveys): Core survey product for pulse surveys, eNPS, lifecycle surveys, AI-assisted insights, reminders, trend analysis, and privacy-conscious feedback collection. - [Employee Performance Reviews](https://feedbackpulse.com/features/employee-performance-reviews): Structured self-assessments and manager evaluations with reusable templates, flexible cadences, and historical review records. - [Peer Reviews](https://feedbackpulse.com/features/peer-reviews): 360-degree feedback workflows with structured questions, configurable anonymity, and controlled visibility. - [Pulse Surveys](https://feedbackpulse.com/help/features/pulse-surveys/): Lightweight recurring surveys for weekly or biweekly sentiment tracking and early warning signals. - [Analytics & Reports](https://feedbackpulse.com/help/features/analytics/): Aggregated engagement, review completion, team comparisons, exports, and role-based reporting views. - [Continuous Feedback](https://feedbackpulse.com/help/features/continuous-feedback/): Informal praise and constructive feedback outside formal review cycles. ## Who It Is For - [For Small Teams](https://feedbackpulse.com/small-teams): Lightweight feedback workflows for teams that want structure without enterprise overhead. - [For Growing Companies](https://feedbackpulse.com/growing-companies): Reviews, surveys, and analytics designed to scale from early growth through larger headcount. - [Support Better Team Management](https://feedbackpulse.com/for-team-leads): Manager-focused use cases for better 1-on-1s, visibility into team sentiment, and stronger coaching. - [For HR & People Leads](https://feedbackpulse.com/for-hr-leads): Engagement, pulse, and eNPS programs with benchmarks and review cycles, without enterprise overhead. - [For Founders](https://feedbackpulse.com/for-founders): An honest monthly read on team health for founder-led companies, growing into reviews when ready. - [eNPS Benchmarks](https://feedbackpulse.com/resources/enps-benchmarks): FeedbackPulse's own eNPS benchmark dataset for putting scores in industry context. - [Getting Started with FeedbackPulse](https://feedbackpulse.com/help/getting-started/): High-level explanation of organizations, users, managers, teams, surveys, and review cycles. ## Problems FeedbackPulse Solves - [Quick Setup Guide](https://feedbackpulse.com/help/getting-started/quick-setup/): For teams replacing spreadsheets, generic forms, or slow enterprise rollouts with a faster feedback setup. - [Invite Your Team](https://feedbackpulse.com/help/getting-started/invite-team/): Explains roles, team setup, reporting lines, and how organizations structure access. - [Your First Review Cycle](https://feedbackpulse.com/help/getting-started/first-review-cycle/): Shows how to launch a first review or survey cycle without heavy admin work. - [Employee Pulse Surveys Guide](https://feedbackpulse.com/resources/employee-pulse-surveys-guide): Explains why teams run frequent pulse surveys instead of waiting for annual feedback. - [Remote Employee Performance Reviews](https://feedbackpulse.com/resources/remote-employee-performance-reviews): Best practices for fair, structured reviews in remote and hybrid teams. - [Employee Net Promoter Score (eNPS) Guide & Calculator](https://feedbackpulse.com/resources/employee-net-promoter-score-enps-complete-guide-calculator): Reference for measuring employee advocacy and understanding promoter/passive/detractor trends. - [Employee Turnover Calculator](https://feedbackpulse.com/tools/employee-turnover-calculator): Helps quantify retention problems and connect employee feedback programs to business impact. - [Team Survey Builder](https://feedbackpulse.com/tools/team-survey-builder): AI-assisted tool for drafting custom survey questions around engagement, challenges, and team goals. ## Help, Security, and Reference - [Help Center](https://feedbackpulse.com/help/): Public documentation hub for setup, features, account settings, and troubleshooting. - [Security Overview](https://feedbackpulse.com/security): Public summary of infrastructure, encryption, backups, access control, and data handling practices. - [Help Center Security](https://feedbackpulse.com/help/account/security/): Product-facing explanation of security, privacy, and account protections for users. - [Integrations](https://feedbackpulse.com/help/account/integrations/): Current guidance on connecting FeedbackPulse with other tools and systems. - [Team Management](https://feedbackpulse.com/help/account/team-management/): Reference for teams, managers, direct reports, and organizational structure. - [Troubleshooting Common Issues](https://feedbackpulse.com/help/troubleshooting/common-issues/): Common product questions around surveys, analytics, reviews, and permissions. - [Contact Support](https://feedbackpulse.com/help/troubleshooting/contact-support/): Support path for account, product, and troubleshooting issues. ## Machine-Readable Documentation - [Help Center llms.txt](https://feedbackpulse.com/help/llms.txt): Curated machine-readable guide to the public help center. - [Help Center llms-full.txt](https://feedbackpulse.com/help/llms-full.txt): Expanded machine-readable help-center content for deeper product and workflow context. ## Customer Stories - [Customer Stories](https://feedbackpulse.com/customer-stories): How teams use FeedbackPulse for surveys, reviews, and continuous feedback. - [Hey Digital](https://feedbackpulse.com/customer-stories/hey-digital): Polina Piskovatskova on moving Hey Digital, a performance marketing agency, from Lattice, including 28 historical review cycles carried forward. ## Optional - [Pricing](https://feedbackpulse.com/pricing): Current plan overview, free tier, and buying context. - [Billing & Plans](https://feedbackpulse.com/help/account/billing/): Help-center explanation of plan types, limits, and subscription questions. - [FeedbackPulse vs BambooHR](https://feedbackpulse.com/bamboohr-alternatives): Comparison for teams evaluating feedback tooling alongside HRIS-style products. - [FeedbackPulse vs Lattice](https://feedbackpulse.com/lattice-alternatives): Comparison focused on engagement, reviews, usability, and cost considerations. - [FeedbackPulse vs 15Five](https://feedbackpulse.com/15five-alternatives): Comparison for continuous feedback and review workflows. - [Culture Amp Pricing](https://feedbackpulse.com/resources/culture-amp-pricing): Buying-context article for teams comparing pricing and scope. - [Lattice Pricing](https://feedbackpulse.com/resources/lattice-pricing): Buying-context article for teams comparing pricing and plan fit. - [Best Employee Survey Software](https://feedbackpulse.com/resources/best-employee-survey-software): Broader category comparison of employee survey platforms. - [Best Free Employee Survey Tools](https://feedbackpulse.com/resources/best-free-employee-surveys-tools): Comparison of lower-cost survey options for smaller teams. - [Terms of Service](https://feedbackpulse.com/terms-of-service): Legal terms governing use of FeedbackPulse. - [Privacy Policy](https://feedbackpulse.com/privacy-policy): Public privacy and data handling policy.
Share or continue the analysis
Share this audit
Discuss with AI
Added 9/24/2026