What do you use today instead of pseolint (https://pseolint.dev) (a competitor, a spreadsheet, doing it by hand)? Compared with that, what would make pseolint better or worse for you, and what would keep you on your current option? Also say the maximum you would pay per month in USD (0 if nothing).

Cecilia Wittingpositive

Right now, I'm primarily using Google Search Console exports and server logs, and then doing manual checks in spreadsheets to qualify page groups. The idea of pseolint auditing by template, rather than page-by-page, sounds incredibly efficient for my 1,200 city and industry pages. It could save a significant amount of time and proactively catch issues I might miss. What I'd need to see is how it integrates with my current workflow and if the template analysis truly pinpoints actionable fixes. I'm willing to pay up to $20 per month for a Pro plan.

Simulated interest: 75/100

Eddie Danielneutral

Right now, I'm using Screaming Frog for crawls and then processing the data myself with Python and regex. It's a bit of a manual process, comparing spreadsheets to catch template families. What pseolint offers, specifically auditing by template rather than page-by-page, sounds like it could save a lot of time if it's accurate. The key for me would be how well it integrates with my existing workflow and if it finds nuances my current setup misses. If it can consistently identify template-level issues that are hard for me to spot, that’s a big plus. However, I'm hesitant to adopt anything that feels like a black box. I’d need to see it handle complex site structures reliably. My maximum price would be $19 per month.

Simulated interest: 60/100

Anand Joharneutral

Currently, I rely on a combination of custom SQLite scripts and Screaming Frog to audit our 3,500+ collection pages. The scripts identify near-duplicates and canonical issues, but they’re not integrated with our main CI pipeline—just a manual step before releases. Pseolint’s template-aware approach sounds like it could save time, especially for spotting doorway clusters and thin templates across batches. That said, I’d need to verify whether it catches the specific template issues we face, like dynamic personalization breaking canonical tags. If it integrates smoothly with CI and covers our edge cases, I’d consider it. My max budget for this would be $19/month, matching the Pro plan’s advertised price.

Simulated interest: 50/100

Rike Schultzneutral

Currently, I rely on spreadsheets and manual review to check for cluster patterns, canonicals, and duplicate titles before content launches. The idea of a tool that audits programmatic SEO sites by template, like pseolint, is appealing because it could automate some of the repetitive checks I do. It seems worse if it doesn't integrate well with my existing workflow or if the findings aren't actionable for the content ops contractor. I'd prefer to stick with my spreadsheets if this tool doesn't clearly offer significant time savings or a more accurate insight than what I can already glean, albeit with more effort. I would consider paying up to $19 per month.

Simulated interest: 40/100

Nataniel Braganeutral

Currently, my process involves a lot of manual checking using spreadsheets to ensure our programmatic pages are up to standard before deploying updates. I rely heavily on Google Search Console and Analytics for monitoring. Pseolint's approach of auditing by template is compelling; it directly addresses the scale of our directory. The ability to catch patterns that might lead to deindexing before they become a problem is a significant advantage over my current manual checks. However, I would need to understand how it integrates with my existing workflow and if the 'template-aware' aspect truly simplifies the complex interdependencies I already manage. The $19/mo Pro monitoring seems reasonable for a tool that could save me significant manual effort and potential ranking issues, so I would consider paying up to $19 per month.

Simulated interest: 60/100

Anémone Legrandneutral

Currently, I rely on a combination of Screaming Frog exports and ContentKing reports, meticulously reviewing them to identify template issues. What interests me about pseolint is its focus on programmatic SEO and its ability to audit by template, which aligns directly with the challenges of my clients' sites. The potential to catch issues before they impact rankings is compelling. However, I'd need to see how it integrates with my existing workflow. The advertised Pro plan is $19 per month, which seems reasonable given the potential time savings and risk mitigation.

Simulated interest: 75/100

Badr Postmaneutral

I currently use a combination of custom scripts and manual crawls to check for programmatic SEO issues. My scripts flag near-duplicates and thin content, but they aren't as template-aware as pseolint. What makes pseolint appealing is its ability to group findings by template, which would save me time fixing structural issues in bulk. However, I'm skeptical about relying solely on an external tool for this critical task—especially without seeing more about how it integrates with our CI/CD pipeline. If it can reliably flag template-level issues before deployment, I'd consider it. I'd cap my budget at $30/month for this, but only if it proved faster and more accurate than my current setup.

Simulated interest: 60/100

Vera Huelneutral

Currently, I rely on a combination of internal tools, spreadsheets, and our existing SEO platforms to manage content quality, especially for our programmatically generated pages. The idea of a tool like pseolint, which specifically targets programmatic SEO and audits by template rather than individual pages, is appealing. It sounds like it could automate some of the very checks I perform manually, particularly around near-duplicates and thin content after data imports. The template-aware approach seems like a significant advantage over a general site crawler. However, I'd need to understand how it integrates with our current CMS and data processes. Also, the description mentions "AI Overview readiness," which is interesting, but I'm not entirely sure how that translates into actionable insights for our hiring platform content. The core functionality of identifying template-level issues is what resonates most. I'd consider the $19/month Pro monitoring plan if it genuinely streamlined our quality checks and provided clear, actionable data that we don't already capture efficiently. The free tier sounds useful for initial testing.

Simulated interest: 60/100

Anila Menonneutral

Today, I primarily use spreadsheets and manual checks to audit client websites, especially for those with location pages generated from a single data source. It's meticulous work, comparing templates and checking indexation. pseolint sounds interesting because it focuses on identifying patterns that Google's SpamBrain might flag across templates, which could save a lot of time compared to my current process. The idea of fixing one template to resolve issues for many pages is very appealing. However, I'd need to understand how well it integrates with my existing workflow and if the insights are actionable for founders who often manage their sites themselves. The $19/month Pro plan for monitoring seems reasonable for the potential efficiency gains. I would be willing to pay up to $19 per month.

Simulated interest: 70/100

Johnathan Hayespositive

Currently, my team and I manually review crawl stats and page groups weekly, looking for anomalies after releases. We also use custom Python scripts for audits. pseolint's ability to audit by template and identify doorway clusters or near-duplicates is compelling because it directly addresses the risks of programmatic SEO, which is the core of our site. The key differentiator is its template-level analysis, which aligns with our need to fix one issue and impact hundreds of pages. This is significantly more efficient than our current manual and script-based approach. However, I'd need to see how it integrates with our existing CI/CD pipeline and how granular the template identification truly is. My maximum acceptable price would be $19 per month for the Pro monitoring, as that seems to be the most relevant tier for ongoing oversight.

Simulated interest: 75/100