HONEST ALTERNATIVE · SEO + AI VISIBILITY
Netpeak Spider is a desktop SEO crawler that audits entire websites — finding broken links, duplicate meta tags, redirect chains, and canonical issues across every page in a site. DeepSEOAnalysis audits specific URLs for per-URL depth: property-level structured data diagnosis, real CrUX field data, AI visibility scoring, and immediate results without software installation or crawl configuration.
At a glance
The useful answer is not “which tool is best?” It is which tool fits the job you need done this week.
| Criterion | Competitor | DeepSEOAnalysis |
|---|---|---|
| Core function | Netpeak Spider is a desktop SEO crawler application (Windows and macOS) that crawls entire websites to surface technical SEO issues across all pages. It finds broken links (404, 5xx), redirect chains, missing or duplicate meta tags (title, description, H1), thin content pages (below a minimum word count), duplicate content across pages, canonical tag issues, robots.txt blocking of key pages, sitemap inconsistencies, and page speed data. Netpeak Spider is positioned as a Screaming Frog alternative — a desktop crawler for technical SEO auditing that runs from the user's local machine. It supports custom extraction rules for scraping specific elements from crawled pages and integrations with Google Analytics and Google Search Console for enriched reporting. | A per-URL technical SEO and AI visibility auditor: submit a URL, get an immediate audit of structured data validity (property-level JSON-LD checks), real CrUX field data (p75 LCP, CLS, INP from real Chrome users), canonical tag correctness, robots.txt AI crawler access, llms.txt presence, FAQPage/HowTo schema server-rendering, broken outbound links on the audited page, and five-signal AI visibility scoring. No desktop software, no crawl configuration, no site-wide crawl — per-URL depth rather than site-wide breadth. |
| Site-wide crawl vs per-URL audit | Netpeak Spider crawls an entire site: starting from a seed URL (typically the homepage or sitemap), it follows internal links to discover and audit all accessible pages. A crawl of a 10,000-page site surfaces which specific pages have broken links, which pages have duplicate title tags, which URLs are blocked by robots.txt, and which redirect chains exist — across the full site. This breadth is essential for technical SEO auditing of large sites where problems may be concentrated on specific page templates or content categories that wouldn't be found by auditing individual pages. The crawl runs from the local machine using the user's network connection — crawl speed depends on local bandwidth and the target site's server response times. | Per-URL depth rather than site-wide breadth. DeepSEOAnalysis audits the specific URL submitted — not the full site. It provides more granular detail on the audited URL than a site-wide crawler typically surfaces: property-level JSON-LD validation (not just "structured data present/absent"), CrUX field data for that specific URL (not just a performance score), and AI visibility scoring (not a standard crawler feature). For identifying which pages across a large site have issues, Netpeak Spider or Screaming Frog is the right tool. For deep-diving into the technical detail of a specific page, DeepSEOAnalysis complements the crawler's site-wide summary. |
| Structured data analysis | Netpeak Spider extracts structured data from crawled pages and flags pages that have schema markup errors detectable during crawl (missing required types, malformed JSON). However, desktop crawlers typically report structured data presence/absence and basic validation rather than the property-level validation that surfaces exactly which required property is missing (e.g., "Product schema missing offers.price"). For detailed structured data diagnosis of specific pages identified as having schema issues, the crawl result typically points to the pages but requires a separate per-URL tool for the granular property-level detail. | Property-level structured data validation for the audited URL: for each schema type present (Article, Product, FAQPage, LocalBusiness, HowTo, etc.), identifies the exact required properties that are missing or invalid — with specific property names, the current incorrect value (if applicable), and a corrected JSON-LD example. For example: "Product schema on this page is missing offers.price, offers.priceCurrency, and offers.availability — all required for Product rich result eligibility." This property-level granularity is what structured data correction requires and what a site-wide crawler typically doesn't surface per-URL. |
| AI visibility and GEO features | Netpeak Spider does not currently include AI visibility or GEO (Generative Engine Optimisation) features. The crawler checks traditional on-page SEO signals — meta tags, headings, link structure, status codes, canonical tags — but does not evaluate AI crawler access in robots.txt, llms.txt presence, whether FAQPage schema is server-rendered vs. JavaScript-rendered, question-heading ratio, or content chunkability for AI citation systems. Desktop crawlers as a category are primarily focused on traditional technical SEO signals rather than the AI visibility dimension. | Five-signal GEO/AI visibility score: AI crawler access in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended allowed or blocked), llms.txt presence and structure, FAQPage/HowTo JSON-LD server-rendered in initial HTML (checks whether schema is in the first HTTP response or requires JavaScript to render — a distinction desktop crawlers may not make), question-heading ratio ≥20% of H2/H3 headings, and average content section ≤400 words for AI extractability. The AI visibility score is surfaced on every audit. |
| Performance data | Netpeak Spider integrates with Google PageSpeed Insights API to add performance data (lab-based Lighthouse scores) to crawl results. This allows identifying which crawled pages have poor Lighthouse performance scores without running PageSpeed Insights on each page individually. The data is Lighthouse lab data — controlled test conditions, not real user field data. For a site-wide view of which pages have performance issues in lab conditions, this is efficient. For real-user performance data (CrUX field data, the LCP/CLS/INP that Google uses for Page Experience ranking), separate tooling is required. | CrUX field data for the audited URL: p75 LCP, CLS, and INP from real Chrome users visiting that URL — the measurements that directly matter for Google's Page Experience ranking signal. Shown alongside structured data, canonical, and AI visibility findings in a single audit. For a specific page with a known ranking issue, the CrUX field data confirms whether a real-user performance problem exists — complementing Netpeak Spider's Lighthouse lab scores with the field data perspective. |
| Licensing and operating model | Netpeak Spider is desktop software with a subscription license. It runs locally on Windows or macOS — the crawl is executed from the user's machine using local network resources. This means: crawl speed is limited by local bandwidth; the crawled site's servers see requests coming from the user's IP address (a consideration for rate limiting); crawl results are stored locally; and the tool requires software installation and licensing. Netpeak Software also offers Netpeak Checker (a bulk URL checking tool) and Netpeak Checker Online as companion products. The desktop model is familiar from Screaming Frog and preferred by some SEOs for privacy (data doesn't leave the local machine) and control. | Web-based tool — no software installation, no local network dependency. Audits run from DeepSEOAnalysis's servers rather than the user's machine. The audited URL is crawled by DeepSEOAnalysis's infrastructure, not from the user's IP. No crawl configuration required — submit a URL, get results. Free tier available without account creation. For users who prefer desktop software for privacy or control reasons, DeepSEOAnalysis's cloud model is different from Netpeak Spider's local execution model. |
| Best fit | Netpeak Spider is best for: technical SEOs doing full-site crawl audits who want a Screaming Frog alternative with comparable functionality; SEOs who prefer desktop software over cloud-based tools; auditing large sites where finding all pages with a specific issue (duplicate titles, broken links, redirect chains) is the primary goal; integrating site crawl data with Google Analytics and GSC for enriched reporting. | Best for: per-URL technical depth — granular structured data diagnosis, real CrUX field data, AI visibility scoring, and canonical verification on a specific page; auditing competitor or client pages without access; quick pre-publication technical checks on individual pieces of content; diagnosing specific pages flagged as problems in Netpeak Spider's site-wide crawl results. |
What each product is
Netpeak Spider is a desktop SEO crawler (Windows/macOS) for full-site technical audits: finds broken links, duplicate content, missing meta tags, redirect chains, and robots.txt issues across all crawled pages. Integrates with GSC and GA for enriched priority ranking. Best for systematic technical SEO audits of entire sites — a strong Screaming Frog alternative.
DeepSEOAnalysis provides per-URL depth for specific pages: granular JSON-LD validation at the property level, real Chrome user CrUX field performance data, five-signal AI visibility scoring, and canonical verification — without software installation or a site-wide crawl. Complements Netpeak Spider by providing deep diagnosis on specific pages the crawl flags as having issues.
When to choose which
Pricing context
FAQ
Netpeak Spider and Screaming Frog SEO Spider are the two most commonly compared desktop SEO crawlers. Screaming Frog has been the market standard for over a decade and has deeper community familiarity, more documented integrations, and a larger library of tutorials. Netpeak Spider is a strong alternative, particularly popular in Eastern European markets (Netpeak is a Ukrainian company), with similar core crawl capabilities and some additional reporting features. The choice often comes down to familiarity and workflow preference rather than significant functional gaps — both find broken links, duplicate content, meta tag issues, canonical problems, and redirect chains across a site. Screaming Frog's free tier (500 URLs) is widely used for smaller sites; Netpeak Spider also has a free/trial tier. For advanced users familiar with one, switching to the other has a learning curve but covers comparable functionality.
Netpeak Spider's crawl speed depends on the configured crawl rate (requests per second, which can be throttled to avoid overloading the target server), the target server's response time, and the user's local network bandwidth. A typical crawl configuration for a medium-traffic site might use 5–10 requests per second. At 5 req/s, crawling a 10,000-page site takes approximately 30–35 minutes plus overhead for redirect following and external link checking. Crawl speed should be configured respectfully relative to the target site's capacity — crawling a small site at 50 req/s could impact server availability.
Yes — Netpeak Spider integrates with Google Search Console and Google Analytics. Connecting GSC allows enriching crawl data with organic performance metrics: adding impressions, clicks, and average position for each crawled URL alongside the technical SEO findings. This combined view (technical issue + organic traffic impact) helps prioritise which fixes to address first — a broken internal link pointing to a high-traffic page is more urgent than one pointing to an untrafficked page. The integration requires authorising Netpeak Spider with Google OAuth for the target GSC property.
Use Netpeak Spider for site-wide technical auditing: finding all pages with broken links, identifying which pages have duplicate title tags, discovering redirect chains across a site, and producing a comprehensive technical audit report for a client or internal team covering all URLs. Use DeepSEOAnalysis for per-URL depth: granular structured data diagnosis on specific pages (property-level JSON-LD validation), real-user CrUX field performance data, AI visibility scoring, and auditing URLs you don't own (competitor pages, prospecting). The typical complementary workflow: run Netpeak Spider to crawl the site and identify which pages have technical issues → use DeepSEOAnalysis to deep-dive on specific pages flagged by the crawl for detailed structured data and performance diagnosis.
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