ChatGPT answers, unedited

For an SEO team trying to combine web server logs + AI crawler analytics (GPTBot, ClaudeBot, Perplexity, Googlebot, etc.) into one reporting layer, I’d shortlist these:

My recommendation by team type

1. Enterprise SEO team (millions of URLs, multiple sites)
Pick OnCrawl, Botify, DemandSphere, or JetOctopus. You’ll want:

• raw log ingestion
• crawl-budget analysis
• AI crawler segmentation
• dashboards for executives
• integrations with GSC/GA4/data warehouses

www.oncrawl.comjetoctopus.com

2. Mid-market SEO team that wants one practical platform
I’d start with JetOctopus. It is closer to an “SEO operations command center” than a pure log parser, with crawl + logs + AI bot visibility. jetoctopus.com

3. You mainly care about “Are AI engines crawling and discovering our content?”
Look at LogLens or Ahrefs Bot Analytics. They focus more narrowly on bot activity and AI crawler visibility. loglens.ai

4. You already have a BI stack (BigQuery, Snowflake, Looker Studio, Tableau)
A custom pipeline may be better:

• ingest Apache/Nginx/CDN logs
• classify crawlers by verified user agent/IP
• join against sitemap + GSC + crawl data
• visualize in Looker Studio or your BI tool

Google also supports combining Search Console and Analytics data in Looker Studio-style reporting workflows, though server-log data usually requires a separate connector or warehouse layer. developers.google.com

Metrics I’d include in the SEO report

Search crawler health

• Googlebot hits by URL category
• crawl budget waste
• 200/3xx/4xx/5xx distribution
• pages crawled vs pages in sitemap
• orphan URLs

AI crawler visibility

• GPTBot pages accessed
• ClaudeBot pages accessed
• Perplexity crawler activity
• AI crawler growth trends
• AI bot access to key commercial pages

Content discoverability

• “Pages Googlebot sees but AI bots don’t”
• “Pages AI bots crawl but Google doesn’t”
• crawl frequency by content type
• AI crawler coverage of new content

My default shortlist would be:

1. JetOctopus — best balance for most SEO teams
2. OnCrawl — best for advanced technical SEO analytics
3. DemandSphere — best if AI search visibility is becoming a major KPI
4. LogLens — best add-on if AI crawler monitoring is the main gap

The biggest question is your site scale: under ~100k URLs, 100k–5M URLs, or enterprise/multi-million URLs? That changes the best choice quite a bit.

If your goal is one SEO report that combines web-server logs, Googlebot behavior, AI crawler activity, and your normal SEO data, I’d shortlist these three:

My pick: JetOctopus

For a typical SEO team, I'd start with JetOctopus. The particularly useful part is that it isn't just an AI-bot dashboard bolted onto a log analyzer: it joins crawl + server logs + GSC + GA4, so you can produce reports such as:

• Which important pages Googlebot crawls frequently but don't get indexed/impressions
• Which pages get lots of GPTBot/Claude/Perplexity activity
• Which high-value pages are ignored by both search and AI crawlers
• Crawl activity by template, directory, product category, etc.
• Bot visits vs. organic traffic/conversions
• Crawl waste from parameters, redirects, errors and low-value URLs
• Changes in Google/AI crawler behavior after a technical SEO deployment

JetOctopus also supports log sources including Nginx, Cloudflare, CloudFront, Fastly, Vercel and Akamai, and offers an MCP connection so AI assistants can query the combined SEO data. jetoctopus.com

When I'd choose Botify instead

If you're dealing with hundreds of millions/billions of URLs, multiple international sites, or a very sophisticated enterprise SEO operation, I'd put Botify ahead of JetOctopus. Botify specifically combines its crawler with server logs and other data sources, and its current platform also has dedicated AI-search visibility capabilities. support.botify.com

When Oncrawl makes more sense

If the primary job is technical SEO and log analysis, rather than building a broader SEO intelligence platform, Oncrawl is compelling. Its current offering explicitly monitors AI crawlers and can distinguish AI-bot activity alongside traditional search-engine crawling. www.oncrawl.comwww.oncrawl.com

Bottom line:
JetOctopus → best balance for most SEO teams
Botify → best enterprise/large-scale option
Oncrawl → best technical-SEO/log-analysis specialist

If you tell me roughly how many URLs your site has, daily log volume, and whether you use GA4/GSC + Semrush/Ahrefs, I can narrow this to the best fit and tell you what the resulting SEO report/dashboard should contain.

If your goal is specifically one SEO reporting layer that combines raw web-server logs with AI/search-crawler behavior, I’d shortlist these:

My pick: Botify

For an SEO team reporting to leadership, I'd lean Botify. Its Analytics suite explicitly combines your server logs + crawler data + GSC + other data sources, while its newer AI-search capabilities add visibility into how AI platforms interact with the site. Botify Knowledge Base Botify

The particularly useful report I'd build is:

AI/Search Crawl → Indexation → Visibility → Traffic

• Googlebot / Bingbot crawl frequency
• GPTBot / ChatGPT-User / OAI-SearchBot / ClaudeBot / PerplexityBot activity
• Pages crawled vs. pages actually receiving organic impressions
• Crawl budget wasted on parameters, redirects, errors, etc.
• High-value pages not being crawled by AI/search bots
• GSC impressions/clicks by those same URL segments
• Organic traffic/revenue
• Changes week-over-week/month-over-month

That gives the SEO team something much more actionable than a standalone "AI crawler hits" dashboard.

JetOctopus is the one I'd demo alongside it, particularly if your team is technical and wants more control over segmentation and direct access to the underlying log/crawl data. It explicitly supports combining crawl, logs, GSC and GA4 in a shared analysis layer. Tech SEO Platform

If you tell me roughly site size (URLs/monthly log volume), CMS/CDN (e.g. Cloudflare/Akamai), and whether you need Looker/Tableau/Power BI output, I can narrow this to the best 1–2 options and compare pricing, integrations, AI-bot coverage, and reporting.

If your goal is one SEO report that combines web-server logs, traditional search crawlers, AI crawlers, site crawls, and search/traffic data, I’d shortlist these three:

My pick: Oncrawl

For an SEO team producing recurring reports, I'd lean Oncrawl. It is unusually close to the exact workflow you're describing: crawl data + unsampled server logs + AI crawler monitoring + search performance, with the ability to export data into your reporting/BI stack. www.oncrawl.com

A useful report could have sections like:

1. Google/Bing crawl activity
2. AI crawler activity — GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, PerplexityBot, etc.
3. Pages being crawled vs. pages receiving organic traffic
4. High-value pages that aren't being crawled
5. Crawl waste — parameters, duplicates, redirects, low-value URLs
6. AI crawler coverage by content section
7. GSC rankings/impressions/clicks
8. Technical SEO issues correlated with crawler behavior
9. Month-over-month trends and alerts
10. Prioritized actions for the SEO team

Oncrawl explicitly supports cross-analysis between crawl and log data, and its current platform also positions AI search visibility as a first-class analysis area. www.oncrawl.com

One important distinction: don't buy a tool merely because it says it has "AI analytics." For your use case, you want first-party server-log evidence of AI bot requests, rather than estimates of how often an LLM might mention your brand. Oncrawl, Botify and JetOctopus all have capabilities in this direction, but their reporting depth and AI-search features differ. www.oncrawl.com

If you tell me your site size (e.g. 100k vs. 10M URLs), server/CDN (Cloudflare, AWS, Nginx, etc.), and whether you already use GSC/GA4, I can narrow this to the best 1–2 options and compare likely pricing/implementation effort.

For your use case—one SEO report combining web-server logs, search-engine crawlers, and AI crawlers—I’d shortlist these three:

🥇 My pick: Botify

Botify is probably the closest match if your goal is a single executive/SEO reporting layer.

It combines crawler data, web-server logs, Google Search Console and analytics data. Its LogAnalyzer specifically analyzes search-engine bot interactions, while its newer AI functionality tracks bots such as GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, PerplexityBot, AmazonBot and others. support.botify.com

That lets you build questions/reports such as:

• Which important pages are Googlebot not crawling?
• Which pages are being crawled heavily by AI bots?
• Are AI crawlers favoring particular content sections?
• How does Googlebot activity correlate with organic visits?
• Which pages have crawl activity but poor organic performance?
• How did crawl behavior change after a technical SEO release?

Botify also has generative-AI functionality that works against your existing crawl, log, GSC and GA data rather than requiring you to manually feed reports to an AI model. support.botify.com

🥈 Oncrawl — probably the best alternative

Oncrawl is especially compelling if your SEO team wants deep technical analysis and lots of segmentation.

Its Log Analyzer combines real server logs with crawl data and explicitly monitors AI bots including OpenAI, Perplexity, Claude, Gemini and Mistral. www.oncrawl.comsupport.botify.com It can also ingest logs from Cloudflare, AWS, GCP, Azure or direct log files, and has a REST API for pushing data into BI/reporting systems. www.oncrawl.com

I'd favor Oncrawl if your reporting needs look like:

Server logs → crawl data → GSC/GA4 → segmentation → custom dashboards → BI/API

rather than primarily wanting an out-of-the-box executive SEO product.

🥉 JetOctopus — worth serious consideration

JetOctopus has become particularly interesting for this exact problem. Its Log Analyzer combines server logs with crawl data and segments Googlebot, AI bots and other crawlers. It supports integrations including NGINX, Cloudflare, AWS CloudFront and Fastly. jetoctopus.com

Its newer MCP integration is especially interesting: it can connect an AI assistant directly to your live crawl + server logs + GSC, so an SEO analyst can ask questions in natural language rather than manually exporting datasets. jetoctopus.com

For example:

“Show me high-value pages that have GSC impressions but haven't been visited by Googlebot in 30 days.”

JetOctopus says its MCP can perform exactly this kind of cross-source URL-level analysis. jetoctopus.com

What I'd choose

Enterprise / sophisticated SEO reporting → Botify

Technical SEO team wanting maximum analytical flexibility → Oncrawl

Large site + aggressive crawling + AI-assisted analysis → JetOctopus

One important distinction: AI crawler analytics isn't the same as AI-search visibility. You ideally want both. Logs tell you that GPTBot, ClaudeBot, etc. actually requested your pages; a visibility product should separately tell you whether your content is appearing/cited in AI-generated answers. Botify and Oncrawl are moving in that direction, while JetOctopus is particularly interesting for querying the underlying data with an AI assistant. www.oncrawl.comsupport.botify.com

If you tell me roughly site size (URLs), monthly log volume, and whether you use Cloudflare/AWS/Akamai, I can narrow this to the best 1–2 options and compare pricing, integrations, dashboards, AI-bot coverage, and API/BI support.

If your goal is one report that combines raw web-server logs, traditional search crawlers, AI crawlers, and SEO performance, I’d shortlist these:

My pick: Oncrawl vs. JetOctopus

I'd choose Oncrawl if the primary deliverable is a polished, recurring SEO team's executive/technical report. Its current platform explicitly brings together crawl, log and performance data and has an AI Search Lens for understanding what LLMs crawl and cite. www.oncrawl.comsupport.botify.com

I'd choose JetOctopus if your team is more technical and wants to experiment with AI-crawler analysis + automated recommendations + querying the underlying SEO data with AI. Its current offering puts crawl, logs, GSC and GA4 into the same workspace and has particularly strong AI-search functionality. jetoctopus.com

For your specific use case, I'd make the unified report contain roughly:

1. Google/Bing crawl activity — URLs crawled, frequency, status codes, crawl waste.
2. AI crawler activity — GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot, etc.
3. AI vs. Google comparison — which pages AI crawlers access that Google doesn't, and vice versa.
4. Important pages being ignored — especially high-value pages with little/no crawler activity.
5. Crawl errors — 4xx/5xx, slow responses, redirect chains.
6. Organic performance — GSC clicks/impressions/rankings alongside crawl behavior.
7. AI visibility — pages being picked up/cited versus pages that AI crawlers ignore.
8. Prioritized actions — ideally automatically generated rather than another giant CSV.

One important distinction: AI crawler logs tell you what bots requested from your server; they don't by themselves tell you what ChatGPT/Perplexity actually displayed or cited to users. The best platforms increasingly combine crawler activity with separate AI-visibility/search data for that reason. Botify and Oncrawl, for example, explicitly distinguish AI-bot activity from AI-search visibility. www.oncrawl.comsupport.botify.com

If you tell me your approximate site size (e.g. 100K, 5M, 50M URLs) and whether you're already using GA4/GSC/Splunk/ELK, I can narrow this to the best 2–3 options and compare pricing, integrations, and reporting capabilities.

If your goal is one SEO report that combines web-server logs with AI-crawler activity, I’d shortlist these three:

My pick: Oncrawl

For a dedicated SEO team's recurring reporting, I'd start with Oncrawl.

The particularly useful part is that it isn't just saying "here are our AI bot hits." It can combine:

Server logs → crawler behavior → site crawl → SEO characteristics → AI crawler activity → AI visibility

That lets you build reports around questions such as:

• Which important pages are Googlebot crawling frequently vs. ignoring?
• Which pages are being accessed by GPTBot/Claude/Perplexity/etc.?
• Are AI bots reaching the same content we're prioritizing for traditional SEO?
• Which technical problems correlate with poor crawler access?
• Which sections are consuming crawl activity without producing SEO value?
• How is AI-crawler behavior changing month over month?

Oncrawl specifically says its AI Search Lens uses real crawl and log data and maps indexation → citation → traffic, which is closer to the kind of executive SEO reporting you're describing than a basic log parser. www.oncrawl.comwww.oncrawl.com

When I'd choose JetOctopus instead

I'd lean toward JetOctopus if your team wants to interrogate the data with AI, rather than just produce dashboards.

Its MCP integration is interesting: you can ask questions such as "show pages with GSC impressions but zero Googlebot visits" and have crawl, logs and GSC joined at the URL level. jetoctopus.comjetoctopus.com

That's potentially very useful for an SEO team building a recurring AI-assisted technical SEO report.

And Botify?

I'd put Botify at the top of the list if you're an enterprise organization with very large sites and a more mature SEO data operation. Its current platform explicitly combines first-party crawl, log, GSC and analytics data and has dedicated AI-search visibility capabilities. www.botify.com

Bottom line:
Oncrawl → best all-around reporting/analysis
JetOctopus → best if AI-assisted querying and value matter most
Botify → best for enterprise-scale SEO intelligence

If you tell me roughly how many URLs you have, monthly log volume, and whether you need Looker Studio/Tableau/Power BI output, I can narrow this to the best fit and compare pricing, integrations, AI-bot coverage, and reporting capabilities.

If your goal is one report that joins web-server logs + traditional search crawlers + AI crawler activity, I’d shortlist these:

My pick: JetOctopus

For the specific use case you described, I'd start with JetOctopus. It appears to have the most direct emphasis on the emerging Google + AI crawler use case rather than treating AI bots as just another log segment.

It can combine:

Server logs → Google/Bing crawlers → GPTBot/other AI bots → site crawl → GSC → GA4 → SEO report

Its newer AI tooling can also connect the data to ChatGPT/Claude through MCP, so your SEO team can ask questions against the underlying crawl/log/GSC data rather than manually assembling spreadsheets. jetoctopus.comjetoctopus.com

JetOctopus

One important distinction

If by “AI crawler analytics” you mean which AI bots are hitting your server (GPTBot, ClaudeBot, PerplexityBot, etc.), all three are worth evaluating.

If you mean “which pages are actually being cited in ChatGPT/Perplexity/Google AI answers”, that's a different layer of measurement. JetOctopus and Oncrawl now explicitly address AI-search visibility in addition to raw bot logs. www.oncrawl.comjetoctopus.com

If you tell me roughly site size (e.g. 100k vs 10M URLs), log volume, and whether you need Looker/Power BI/Tableau reporting, I can narrow this to the best 1–2 options and compare likely cost/implementation.

If your goal is one report that combines web-server logs + AI crawler activity + traditional SEO data, I’d shortlist these:

My pick: Oncrawl

Oncrawl is probably the closest match to what you're describing. It explicitly combines crawl data, server logs and performance data, and its current AI-search tooling tracks how AI bots interact with your site. Its AI Search Lens also connects crawler behavior with which pages are actually being cited by LLMs. www.oncrawl.com

That's useful for an SEO team because you can answer questions such as:

• Which URLs are being crawled by Googlebot vs. GPTBot/Claude/other AI bots?
• Which important pages are getting Google impressions but little/no AI crawler activity?
• Are AI crawlers wasting requests on low-value URLs?
• Are 4xx/5xx, redirects, slow responses, or robots rules preventing crawling?
• Which content sections are getting both search-engine and AI attention?
• How did crawler behavior change after an SEO/technical release?

Botify is the strongest enterprise alternative

Botify is especially compelling if you want the reporting layer to extend beyond raw logs. Its LogAnalyzer combines server-log data with crawl/visit information, while its AI reporting distinguishes bots such as GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, PerplexityBot and others. support.botify.comwww.oncrawl.com

Botify also has an AI Discoverability report that compares live AI-bot behavior against Google Search Console impressions, which is very close to the kind of combined analysis an SEO team usually wants. support.botify.com

JetOctopus is the one I'd test if budget matters

JetOctopus has become particularly interesting for this use case. Its Log Analyzer explicitly segments Googlebot, Bingbot, GPTBot and other AI crawlers, while combining log data with crawls, GSC and GA4. jetoctopus.comjetoctopus.com

It also now has an MCP integration that lets an SEO team query crawl, log and GSC data conversationally through ChatGPT/Claude, rather than manually exporting three datasets into spreadsheets. jetoctopus.comjetoctopus.com

My ranking for your specific use case:

1. 🥇 Oncrawl — best all-around reporting/analysis platform
2. 🥈 Botify — best for sophisticated enterprise SEO organizations
3. 🥉 JetOctopus — best value and increasingly strong AI-crawler capabilities
4. BigQuery/Snowflake + Looker/Power BI — best if your SEO team wants a completely custom executive dashboard

One important distinction: AI crawler analytics ≠ AI visibility analytics. Server logs tell you that GPTBot/ClaudeBot/etc. requested a URL; they don't necessarily tell you whether ChatGPT or Claude subsequently cited that URL. For an executive SEO report, I'd ideally combine server logs + GSC + crawl data + AI citation/visibility data, rather than relying on crawler hits alone. Oncrawl and Botify are particularly interesting because they're moving in that direction. support.botify.comwww.oncrawl.com

If you tell me roughly site size (e.g. 100k vs 10M URLs), monthly log volume, and whether you're on Cloudflare/AWS/nginx, I can narrow this down to the best 1–2 options and compare pricing, integrations, dashboards, and AI-bot coverage.

If your goal is one report that combines raw web-server logs, traditional search crawlers, AI crawlers, and SEO performance, I’d shortlist these:

🥇 My pick: Botify

Botify Analytics is probably the closest match to exactly what you're describing.

It combines server-log ingestion, site crawling, Google Search Console/analytics data, search-bot behavior, and AI visibility. Its LogAnalyzer can distinguish traditional crawlers from AI bots such as GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot and PerplexityBot. www.botify.com

The particularly useful part for an SEO team is that you can connect crawl behavior → indexability → search performance → AI crawler behavior → AI visibility rather than maintaining separate spreadsheets.

Botify's newer AI Discovery reporting also compares AI live-crawl behavior with pages receiving Google impressions, which gives you a much more actionable question than simply "how many times did ChatGPT crawl us?"—namely, which pages Google considers valuable but AI systems aren't retrieving? support.botify.com

🥈 JetOctopus if you want better value

JetOctopus is worth serious consideration if Botify feels too enterprise-oriented. It combines crawling, log analysis, GSC and GA4, and specifically supports analysis of Google and AI crawler behavior. jetoctopus.com

I'd choose it for a large but not enormous site where the SEO team wants powerful technical reporting without necessarily buying a full enterprise platform.

🥉 Cloudflare if your infrastructure already runs there

Cloudflare AI Crawl Control is excellent for the AI-crawler side. It provides crawler-level requests, bandwidth, status codes, paths, referrers and content-format analysis, with CSV/API export. developers.cloudflare.com

But I wouldn't make Cloudflare alone your SEO reporting platform. I'd pipe its data into something like Looker Studio, BigQuery or your existing BI stack and join it with GSC/crawl data.

What I'd build for your SEO team

The ideal monthly/weekly report would have:

1. Google/Bing crawl activity
   • URLs crawled
   • crawl frequency
   • 2xx/3xx/4xx/5xx
   • crawl budget wasted on low-value URLs

2. AI crawler activity
   • GPTBot / ChatGPT-User / OAI-SearchBot
   • ClaudeBot
   • PerplexityBot
   • Google AI-related crawlers
   • pages crawled by each
   • crawl frequency and trends

3. Crawl vs. SEO value
   • high-GSC-impression pages not crawled by AI
   • AI-crawled pages receiving little/no Google traffic
   • important pages never crawled
   • AI crawlers hitting redirects, errors or thin pages

4. AI visibility
   • brand mentions
   • citations
   • share of voice
   • competitors appearing alongside you

5. Executive summary
   • "AI crawling increased 34%"
   • "42% of priority product pages were not crawled by AI bots"
   • "GPTBot spent 18% of requests on URLs returning 404"
   • "Pages receiving the most Google impressions are underrepresented in AI retrieval"

If you tell me roughly how big the site is (e.g. 100K, 1M, 10M+ URLs), what CDN/server you're using, and whether you already use Ahrefs/Semrush, I can narrow this to the best 2–3 choices and give you a recommended reporting architecture.

If your goal is one SEO report combining raw web-server logs, search-engine crawling, AI-crawler activity, and organic performance, my top pick in 2026 is Botify.

My shortlist

Why I'd choose Botify

Botify is unusually well aligned with exactly what you're describing. Its LogAnalyzer combines web-server log data, search-engine crawls, and organic visits, and it can distinguish AI bots including GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, PerplexityBot, etc. support.botify.comsupport.botify.com

More importantly, its newer AI Visibility capabilities go beyond simply counting crawler hits. It can combine crawl/log data with Google Search Console and analytics data, and its Discoverability reporting compares live AI-bot behavior against pages receiving Google impressions. support.botify.com

That lets your SEO team build a report along the lines of:

URL/segment → Google crawl frequency → AI crawler frequency → organic impressions/clicks → organic traffic → indexability → AI visibility

That's considerably more useful than a standalone "AI bots hit us X times" dashboard.

Botify also supports custom reporting, so you can create a recurring executive/SEO report rather than forcing the team to stitch together exports. support.botify.com

Botify

When I'd pick Oncrawl instead

I'd look closely at Oncrawl if your team is primarily doing technical SEO and log-file analysis and doesn't need Botify's broader AI-visibility product.

One important distinction

Make sure you're asking vendors about two different kinds of AI data:

1. AI crawler behavior — GPTBot, ClaudeBot, PerplexityBot, etc. actually requesting your pages in server logs.
2. AI search visibility — whether your brand/content is being mentioned or cited in ChatGPT, Perplexity, Google AI Mode, etc.

They're not interchangeable. Botify currently supports both sides, which is why I'd put it first for your use case. support.botify.comsupport.botify.com

Bottom line: If you're an enterprise/mid-market SEO team and want the least painful route to a single combined report, I'd demo Botify first, Oncrawl second, and JetOctopus third.

If you tell me roughly site size (e.g. 100k vs 10M URLs), monthly log volume, and whether you use Looker/Tableau/Power BI, I can narrow this to the best 1–2 options and lay out the exact report/dashboard I'd build.

If your goal is one SEO report that combines raw server-log behavior with AI crawler activity, I’d shortlist these:

1. Botify — best overall for enterprise SEO

Botify

This is the strongest fit if you want a mature SEO platform rather than just a log viewer. Botify combines server-log data, its own crawler, Google Search Console, and analytics data in its reporting layer. Its LogAnalyzer specifically reports search-engine crawling and organic visits from server logs. support.botify.comloglens.ai

Best for: large sites, technical SEO teams, recurring executive/client reporting.

Caveat: AI-crawler analytics aren't the same thing as AI-search visibility/citation analytics. You'll want to verify exactly which AI bots and classifications your Botify plan exposes.

2. LogLens — interesting if AI crawler monitoring is the priority

LogLens

LogLens is much more focused on real-time server/CDN logs and bot identification, including AI crawlers. It can ingest logs from sources such as Cloudflare, Vercel, CloudFront, Apache and Nginx and distinguish crawler activity from ordinary traffic. loglens.ai

Best for: answering “Which AI bots are actually hitting which URLs?”

Caveat: it isn't as comprehensive an SEO reporting platform as Botify.

3. Custom BigQuery + Looker — best if you have multiple sites

If you're an agency or have a data/engineering team, I'd seriously consider building a central data layer:

Server/CDN logs → BigQuery → crawler classification → Looker dashboard

That lets you classify bots into useful groups such as:

• Google/Bing search crawlers
• AI search/retrieval bots
• AI training crawlers
• SEO crawlers
• Unknown/suspicious bots

Then combine that with GSC, GA4, rankings and your AI-visibility data. This approach is particularly attractive when you need the same reporting framework across many clients/sites. The SEO community is increasingly using this logs-first approach because AI-visibility tools measure outputs/citations, whereas logs tell you what crawlers actually requested. www.reddit.com

My recommendation

One important distinction: “AI crawler analytics” and “AI search visibility” are different datasets. Logs can tell you that GPTBot, ClaudeBot, PerplexityBot, etc. requested a URL; they generally cannot tell you whether ChatGPT or another AI search product subsequently cited your company in an answer. Recent SEO practitioners are explicitly treating those as separate measurement problems. www.reddit.com

If you tell me your approximate site size (e.g. 100K vs 10M URLs), whether you're an agency, and whether you care more about AI crawling or AI citations, I can narrow this to the best 2–3 options and compare pricing/integration/reporting capabilities.

If your goal is one SEO report that combines actual web-server behavior with AI crawler activity, I’d shortlist these:

🥇 My pick: Botify

Botify is probably the closest match to what you're describing.

Its LogAnalyzer combines server-log data with search-engine crawling and organic visits, while its newer AI capabilities specifically analyze AI bot activity. Botify can distinguish OpenAI bots such as GPTBot, ChatGPT-User and OAI-SearchBot, as well as other AI crawlers including ClaudeBot, PerplexityBot, Bytespider and others. support.botify.com

More importantly, Botify lets you bring together server logs, Google Search Console, Google Analytics and its own crawler data, which means your SEO team can get much closer to a single "what happened → why → what should we fix?" view rather than stitching together spreadsheets. support.botify.com

I'd structure the report around:

• Googlebot activity: crawl frequency, status codes, wasted crawl budget
• AI crawler activity: GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, etc.
• Pages crawled by AI but not traditional search
• Pages heavily crawled but receiving little/no organic traffic
• AI crawler activity vs. GSC impressions/clicks
• Organic visits and conversions
• Technical issues affecting important pages
• Prioritized SEO actions

🥈 Semrush Enterprise

Semrush has become particularly interesting for this use case in 2026. Its Enterprise offering now has Bot Analytics and Agent Analytics, both based on log-file analysis. Bot Analytics covers 30 bots, including 20 search-engine and 10 AI bots, while Agent Analytics focuses specifically on AI-agent access. www.semrush.com

It also added Crawler Profiles for Googlebot and ChatGPT-related crawlers, allowing your team to compare actual bot behavior from logs with simulated crawler behavior. www.semrush.com

I'd choose this over Botify if your team already lives inside Semrush and wants the AI visibility/competitive research side tightly integrated with technical SEO.

🥉 Oncrawl

Oncrawl is worth considering if your SEO team is especially technical. Its Log Analyzer supports a broad and continuously updated set of search and AI bots. help.oncrawl.com

It's particularly attractive if the primary question is:

"What are Google and AI crawlers actually doing on our site, and which technical problems are causing inefficient crawling?"

rather than broader AI-search visibility.

What I would not do

I wouldn't make GA4 + Looker Studio the primary solution and simply add AI crawler data to it. AI crawlers generally don't behave like human browser sessions, so server logs are the more appropriate source of truth for crawler activity. www.similarweb.com

If you're an enterprise SEO team, my ranking would be:

1. Botify → best unified SEO + logs + AI crawler reporting
2. Semrush Enterprise → best broader SEO/AI visibility ecosystem
3. Oncrawl → best technical/log-analysis specialist

If you tell me roughly how many URLs and monthly server-log requests you have, plus whether you're already using Semrush/Ahrefs/GA4, I can narrow this down to the best 1–2 options and suggest the exact dashboard/report I'd build.

If your goal is one SEO report that combines server-log behavior with AI crawler activity, I’d shortlist these:

My pick: JetOctopus

For what you described, JetOctopus is probably the cleanest match. Its current positioning is explicitly around combining crawl data + server logs + GSC + GA4 for Google and AI search, and its log analyzer segments crawler activity by type, URL, status code and crawl frequency. jetoctopus.com

A useful SEO-team report could therefore show:

• Googlebot crawl volume and crawl waste
• GPTBot / ChatGPT / Claude / Perplexity activity
• AI crawler hits by URL/content type
• AI crawler coverage of indexable pages
• 4xx/5xx and latency by crawler
• Pages Google crawls heavily but AI bots ignore
• Pages AI bots crawl heavily but Google rarely visits
• GSC impressions/clicks alongside crawler activity
• Changes in crawler behavior after technical/content releases

JetOctopus has also added an MCP interface that lets an AI assistant query crawl, log and Search Console data in natural language, which could be particularly interesting if your SEO team wants to ask questions like “Which high-value pages aren't being crawled by AI search bots?” rather than manually building every report. jetoctopus.com

If you're an enterprise site with millions+ of URLs, I'd lean toward Botify. Its reports already combine crawl analysis with server-log data, and its newer AI Visibility functionality specifically analyzes live AI-bot behavior. support.botify.com

If you tell me roughly site size (e.g. 100k vs 10M URLs), log volume, and whether you need GA4/GSC + Looker/Tableau reporting, I can narrow this to the best 1–2 options and compare pricing, integrations, AI crawler coverage, and reporting.

If your goal is one SEO report combining raw server-log behavior with AI-crawler activity, I’d shortlist these:

1. JetOctopus — my first choice

JetOctopus is particularly well aligned with what you're asking for. Its Log Analyzer combines server-log data with crawler behavior and explicitly segments Googlebot, Bingbot, GPTBot and other AI crawlers. It can also distinguish legitimate crawlers from suspected fake bots and segment activity by URL, section and status code. jetoctopus.com

More importantly, its platform combines log analysis + JavaScript crawling + Google Search Console data, so your SEO team can build a report around questions such as:

• Which pages does Googlebot crawl?
• Which pages do GPTBot/ClaudeBot/Perplexity crawl?
• Are AI crawlers reaching our important commercial pages?
• What pages are being crawled but receiving little organic traffic?
• Which sections generate crawl waste?
• Are 4xx/5xx/redirect problems affecting search and AI crawlers?
• How does crawler behavior change after technical releases?

JetOctopus

2. Botify — strongest for enterprise

Botify is probably the better choice if you're a large SEO organization with lots of data and multiple stakeholders.

Its LogAnalyzer uses server logs to analyze search-engine crawling and organic visits, while SiteCrawler combines crawl data with server logs, Google Search Console and analytics data. support.botify.com

A major advantage for your specific use case: Botify now has GenAI functionality operating over crawl data, server-log data, GSC and GA data. support.botify.com

Botify

3. Semrush Enterprise — sensible if you're already invested

Semrush is worth considering if your SEO team already lives in Semrush. Its newer Site Intelligence offering combines crawl and search-performance data and is designed to monitor both traditional search and AI-search considerations. www.reddit.com

I'd rank it behind JetOctopus/Botify specifically for a log-heavy AI-crawler reporting project, though.

Semrush

What I'd build for your SEO team

Rather than reporting simply "AI bot traffic," I'd create a unified monthly dashboard with four layers:

1. Search crawler activity

• Googlebot / Bingbot requests
• crawl frequency
• crawl depth
• status codes
• crawl waste
• important URLs not crawled

2. AI crawler activity

• GPTBot
• OAI-SearchBot
• ChatGPT-User
• ClaudeBot
• PerplexityBot
• Google-Extended
• other relevant crawlers

3. SEO performance

• GSC impressions/clicks
• rankings
• organic entrances
• indexed vs. non-indexed URLs
• conversions/revenue

4. AI visibility

• AI crawler requests by URL/category
• AI crawler coverage of priority pages
• AI referrals where measurable
• citation/mention monitoring from your chosen AI-search tracker

That distinction matters because server logs tell you what crawlers actually requested, whereas AI visibility tools tell you what happens in the resulting AI/search experience. One shouldn't be treated as a substitute for the other.

My recommendation: start with JetOctopus if the primary requirement is "give the SEO team one place to analyze Google + AI crawler behavior alongside technical SEO." Choose Botify if you're an enterprise organization that wants a broader data platform and deeper integration across SEO, logs, analytics and AI-assisted analysis.

If your goal is one report combining real server-log crawler behavior + AI crawler activity + traditional SEO performance, I’d shortlist these:

🥇 My pick: Botify

Botify Analytics is probably the closest match to what you're describing.

It can combine daily server-log data, traditional search crawlers, AI bots, site crawling, Google Search Console and analytics data. Its AI crawler reporting specifically tracks bots such as GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Perplexity and others. support.botify.com

The particularly useful part for an SEO team is that you can correlate which pages AI bots are crawling with things like organic performance, GSC impressions and technical SEO data rather than maintaining separate spreadsheets. www.botify.com

Its LogAnalyzer also gives you traditional search-bot and AI-bot activity from the actual server logs, which is important because client-side analytics won't capture crawler requests reliably. www.botify.com

🥈 Oncrawl

Oncrawl Log Analyzer is the one I'd look at if your team is particularly technical-SEO oriented.

It analyzes actual server logs and now explicitly supports AI bots including OpenAI, Perplexity, Claude, Gemini and Mistral, alongside Googlebot, Bingbot and organic visitor activity. www.oncrawl.com

It's especially good for questions like:

• Which important URLs are AI crawlers actually visiting?
• How often does Googlebot crawl our new content?
• Which sections consume crawl budget?
• Are 3xx/4xx/5xx pages getting crawled?
• Are AI bots disproportionately crawling low-value URLs?
• How does crawler behavior correlate with organic traffic?

🥉 Scrunch

If by "AI crawler analytics" you really mean "how visible are we in ChatGPT/Perplexity/Gemini and what are their crawlers doing?", I'd also evaluate Scrunch.

It focuses more heavily on the AEO/GEO side than traditional log analysis. A recent 2026 review specifically highlighted its ability to connect AI-answer visibility, AI crawler visits and GA4 referral/conversion data. www.techradar.com

What I'd choose

Large/enterprise SEO team: → Botify

Technical SEO team with lots of log analysis: → Oncrawl

Primarily trying to measure AI-search visibility: → Scrunch

Want strong log analysis without going straight to an enterprise-heavy platform: → JetOctopus

One important distinction: AI crawler activity ≠ AI search visibility. Logs tell you that GPTBot/ClaudeBot/etc. accessed a page; they don't by themselves tell you whether ChatGPT or another answer engine subsequently cited that page. Ideally, your reporting layer should combine crawler logs + GSC + analytics + AI visibility/mention tracking.

If you tell me roughly your site size (e.g. 100K vs 10M URLs), monthly log volume, and whether you're on AWS/Cloudflare/Azure/etc., I can narrow this to the best 2–3 options and compare pricing, integrations, dashboards, and reporting capabilities.

If your goal is one report that combines web server logs (Apache/Nginx/CDN), search engine crawlers, AI crawler activity (GPTBot, ClaudeBot, Perplexity, Gemini, etc.), and SEO insights, there are only a handful of platforms moving in that direction.

Here's how I'd categorize them:

Best overall: LogLens

For a team specifically asking for combined server logs + AI crawler analytics, LogLens is probably the closest fit today.

It can:

• ingest Apache, Nginx, Cloudflare, CloudFront, Vercel, Shopify, and other logs
• identify Googlebot, Bingbot, GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended, and hundreds of other bots
• verify crawler IPs (helping distinguish genuine bots from spoofed user agents)
• correlate crawler activity with sitemaps, robots.txt, and Google Search Console
• generate alerts for crawl-budget issues, 404s, 5xx errors, and indexing risks in near real time rather than waiting for daily log processing. loglens.ai

Best enterprise platform: DemandSphere

If your SEO organization already manages:

• traditional rankings
• AI visibility
• Search Console
• log files
• BigQuery

then DemandSphere aims to unify those into one reporting workflow, including automation across SERP analytics, LLM visibility, and log analysis. www.demandsphere.com

Best for AI visibility

Klerun focuses on questions like:

• Which AI crawlers visited?
• Which pages are AI systems reading?
• Which URLs get cited?
• Where are hallucinations occurring?
• How visible is our brand inside ChatGPT, Gemini, Claude, and Perplexity?

It's stronger on AI search monitoring than traditional technical SEO. klerun.com

If you already use enterprise observability

Many larger companies build their own unified reporting stack:

• Web logs → Splunk, Datadog, or Elastic
• Search Console → BigQuery
• GA4 → BigQuery
• AI crawler parsing → custom rules
• Dashboards → Looker Studio or Power BI

This approach provides the most flexibility, especially if you want reports like:

• AI crawler activity by section
• Googlebot vs GPTBot crawl overlap
• Pages crawled but never indexed
• AI crawler frequency vs organic traffic
• AI bot activity after new content releases

One important limitation

No platform can reliably tell you which exact ChatGPT prompt or Perplexity query generated a visit. Referral data from LLMs is inconsistent, and much AI-driven traffic appears as direct or partially attributed traffic. Vendors claiming exact attribution across all AI assistants are overstating what's currently measurable. www.reddit.com

My recommendation by company size

• Small SEO team (1–5 people): LogLens
• Mid-sized agency or SaaS: JetOctopus + AI visibility platform (or LogLens if it covers your needs)
• Enterprise (100k+ pages): DemandSphere or Botify
• Data engineering resources available: BigQuery + Elastic/Splunk + Looker Studio for a custom reporting layer

If you can share approximately:

• how many pages your site has,
• whether you're on Apache, Nginx, Cloudflare, or a CDN,
• and whether you're an in-house SEO team or an agency,

I can narrow the recommendations to the tools that fit your scale and budget.

If your goal is a single report that combines web server logs, search engine crawlers, AI crawlers, and SEO performance, these are the strongest options today:

1. Botify (Best overall)

If budget isn't the main concern, this is probably the closest match to what you're describing.

It combines:

• web server logs
• search engine crawl behavior
• AI crawler activity
• Google Search Console
• organic traffic
• technical SEO metrics

Its LogAnalyzer uses raw server logs to show exactly which bots (Google, Bing, ChatGPT, Claude, Perplexity, etc.) are crawling which pages, then overlays crawl and SEO performance into unified dashboards. support.botify.com

Ideal for:

• ecommerce
• publishers
• sites with 100k+ URLs
• enterprise SEO teams

2. Ahrefs Bot Analytics

One of the newest entrants focused specifically on AI bots.

Highlights:

• identifies AI crawlers separately
• Cloudflare-based server-side tracking
• distinguishes AI bots from search engines
• tracks crawl frequency
• shows which pages AI bots visit most ahrefs.com

A good fit if you're already using Ahrefs.

3. JetOctopus

A favorite among technical SEO specialists.

Features:

• massive log file analysis
• crawl budget reports
• Googlebot behavior
• indexation monitoring
• Search Console integration
• customizable dashboards

It excels at correlating:

• crawled pages
• indexed pages
• traffic
• server logs

4. Screaming Frog + Log File Analyser

Great value for agencies and consultants.

Workflow:

• import Apache/Nginx/IIS logs
• crawl site with SEO Spider
• merge crawl data with log analysis
• export into Excel or BI dashboards

It won't automatically merge AI crawler analytics the way Botify does, but it's flexible and much less expensive. www.techradar.com

5. Elastic/OpenSearch + Looker Studio (Most customizable)

If your engineering team is comfortable building dashboards, this gives the most flexibility.

Typical data sources:

• Nginx/Apache logs
• Cloudflare Logs
• Google Search Console
• AI crawler user agents
• GA4
• internal CMS metrics

You can then build dashboards showing:

• Googlebot crawl frequency
• ChatGPT-User requests
• ClaudeBot requests
• PerplexityBot requests
• pages crawled vs indexed
• crawl budget waste
• AI crawler trends
• organic traffic changes

This is the best option for organizations that want complete control.

Bonus: Matomo

If you want to track AI assistant visits (not just crawler hits), Matomo has added dedicated AI Assistant and AI Chatbot reporting. It can ingest server-side AI traffic via Cloudflare, CloudFront, or WordPress integrations and keep it separate from human visitor analytics. matomo.org

My recommendation by organization size

• Enterprise (1M+ pages): Botify
• Mid-size (50k–1M pages): JetOctopus
• Already using Ahrefs: Ahrefs Bot Analytics
• Agency/consultant: Screaming Frog + Log File Analyser
• Engineering-led SEO program: Elastic/OpenSearch + Looker Studio

If your specific goal is a weekly executive report that combines:

• web server logs,
• AI crawler activity (ChatGPT, Claude, Perplexity, Gemini),
• Googlebot crawl data,
• Search Console performance,
• and organic traffic,

then Botify is currently the most complete off-the-shelf platform, while an Elastic/OpenSearch + Looker Studio stack provides the greatest flexibility if you're willing to build and maintain your own reporting pipeline.

If your goal is one report that combines web server logs, AI crawler activity, and SEO insights for a marketing team, I'd split the options into three tiers.

If your SEO team wants executive-friendly reports

I'd lean toward Ahrefs Bot Analytics because it already includes:

• AI crawler activity
• Search engine crawler activity
• Crawl budget analysis
• Most-crawled URLs
• 404s encountered by bots
• CSV and Google Sheets exports
• Integration with the rest of your SEO reporting ahrefs.comhelp.ahrefs.com

It reduces the need to stitch together multiple dashboards.

If you already have raw server logs

For organizations that already collect Apache, Nginx, Cloudflare, or CDN logs, a modern stack often looks like:

• Server logs → Elasticsearch/OpenSearch or BigQuery
• AI crawler identification
• Google Search Console
• GA4 (for human traffic)
• Looker Studio or Power BI for a unified dashboard

That gives one report containing:

• Human sessions
• Googlebot crawl activity
• AI crawler requests (GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, etc.)
• Crawl budget trends
• Indexability issues
• Top AI-crawled pages
• SEO KPIs

Open-source / lower-budget

If you don't want a SaaS platform:

• Screaming Frog Log File Analyser (excellent for traditional SEO log analysis)
• GoAccess (real-time server logs)
• ELK/OpenSearch dashboards
• Grafana
• Custom bot classification rules

These require more setup but offer complete flexibility.

My recommendation by company size

• Small sites (<500k monthly pageviews): Ahrefs Bot Analytics
• Mid-size publishers/SaaS: Ahrefs + Looker Studio
• Large enterprise (millions of URLs): Jetoctopus or a custom OpenSearch/BigQuery pipeline with BI dashboards
• Engineering-heavy teams: ELK/OpenSearch + Grafana + custom AI crawler classification

If your team wants one dashboard that merges SEO metrics, server logs, and AI crawler analytics with minimal engineering work, Ahrefs Bot Analytics is currently the strongest all-around choice. ahrefs.comhelp.ahrefs.com

If your goal is a single report that combines web server logs, search engine crawler activity, AI crawler activity (GPTBot, ClaudeBot, Perplexity, etc.), and SEO insights, there are a few clear leaders depending on your budget and technical maturity.

Best overall: Oncrawl

Oncrawl has become one of the strongest platforms if you want to merge:

• Apache/Nginx/CDN logs
• Googlebot behavior
• AI crawlers (OpenAI, Anthropic, Perplexity, Gemini, Mistral, etc.)
• Search Console
• Crawl data
• Indexability
• Technical SEO

Instead of just showing "GPTBot visited 8,000 pages," it correlates that with:

• pages receiving organic traffic
• pages that never get crawled
• crawl budget waste
• indexation problems
• server errors
• orphan pages

That's exactly the kind of report most SEO teams want. www.oncrawl.comsupport.conductor.com

Best if AI crawler visibility is your priority: LogLens

LogLens is newer but purpose-built for AI search.

It verifies crawler IPs (to distinguish real bots from spoofed ones) and tracks:

• GPTBot
• ChatGPT-User
• ClaudeBot
• PerplexityBot
• Google-Extended
• OAI-SearchBot

It also correlates logs with:

• sitemap
• robots.txt
• Search Console

making it easy to see:

• which pages AI crawlers actually access
• crawl frequency
• errors affecting AI bots
• uncrawled sitemap URLs

It feels like "Google Analytics for bots." www.oncrawl.comloglens.aisupport.conductor.com

Best for large enterprise SEO

Conductor is a good fit if your marketing team already uses it.

Its Log File Analysis combines:

• raw logs
• Google/Bing/OpenAI crawler history
• SEO monitoring
• dashboards for stakeholders

The reporting is polished and designed for non-technical users. www.oncrawl.comsupport.conductor.com

Best value for technical SEO

Jetoctopus remains one of the strongest technical SEO tools.

Pros:

• extremely fast crawler
• excellent log analysis
• crawl budget visualization
• Search Console integration
• customizable dashboards

It has less emphasis on AI-specific reporting than newer platforms but remains very capable for traditional search crawler analysis. www.techradar.com

If you already use Grafana

Many engineering teams build their own reporting stack:

• Grafana + Loki
• Elasticsearch/OpenSearch
• ClickHouse
• DuckDB

Then enrich logs with:

• AI crawler identification
• Search Console exports
• GA4
• sitemap metadata

and use an LLM to generate weekly summaries such as:

"Googlebot increased crawling of product pages by 34%, while GPTBot focused on documentation. ClaudeBot encountered 127 404 responses. Perplexity crawled 18 newly published articles but ignored 42 high-traffic pages."

This approach provides the most flexibility if you already have observability infrastructure.

My recommendation by company size

• Small team (1–5 SEO professionals): urlLogLensturn0search1
• Mid-size business: Oncrawl
• Enterprise marketing organization: Conductor
• Technical SEO agency: Jetoctopus
• Engineering-led organization: Grafana/Loki or OpenSearch + a custom AI reporting layer

If you're already collecting server logs in a data warehouse (such as BigQuery, Snowflake, ClickHouse, or Databricks), a custom AI-generated weekly SEO report can often deliver richer insights than an off-the-shelf dashboard while fitting into your existing analytics workflow.

If your goal is one report that combines web server logs, search engine crawlers, and AI crawler activity for an SEO team, there are a few tools that stand out. The best choice depends on whether you want an SEO platform, an observability platform, or a custom data warehouse.

Best overall: Oncrawl

If your SEO team wants a single dashboard without building anything yourself, Oncrawl is probably the strongest fit.

It combines:

• server log analysis
• Googlebot/Bingbot behavior
• AI bot monitoring (GPTBot, ClaudeBot, Perplexity, Gemini, Mistral, etc.)
• crawl data
• technical SEO issues
• crawl budget analysis
• page performance

This lets you answer questions like:

• Which URLs are Google crawling but AI bots ignore?
• Which AI crawlers hit pages that Google rarely visits?
• Are important pages receiving enough crawler attention?
• Which sections waste crawl budget? www.oncrawl.com

Best for AI crawler analytics: LogLens

LogLens is newer but purpose-built for the emerging AI search landscape.

It tracks:

• GPTBot
• ClaudeBot
• OAI-SearchBot
• Perplexity
• Google-Extended
• verified bot IPs
• sitemap coverage
• crawl frequency
• orphaned pages

It also correlates live server logs with sitemap and Search Console data, making it especially useful for GEO (Generative Engine Optimization). loglens.ai

Best for enterprise SEO: Jetoctopus

Jetoctopus has long been one of the strongest SEO log analyzers.

Strengths include:

• massive log processing
• real-time crawler monitoring
• integration with crawl data
• Search Console integration
• technical SEO dashboards

It has historically focused on search engines, but newer releases have expanded bot coverage. www.techradar.com

Best if AI visibility is the priority: Plumb

Plumb approaches the problem differently.

Instead of only counting crawler hits, it reconciles:

• Cloudflare/Fastly/server logs
• GA4
• Search Console
• AI crawler traffic
• AI citation visibility

The output is aimed at editorial and SEO teams rather than infrastructure engineers. www.plumbtrace.com

If you already have observability infrastructure

Many engineering organizations already use:

• Grafana Labs
• Elastic
• Datadog

A common architecture is:

Apache/Nginx/Cloudflare logs
            │
            ▼
      Elastic or Grafana Loki
            │
   Bot classification pipeline
            │
   Search Console API
            │
      GA4 + BigQuery
            │
        Looker Studio
            │
      Weekly SEO report

This gives you complete flexibility but requires engineering resources.

My recommendation by company size

• Small SEO team (1–5 people): LogLens
• Mid-size marketing team: Oncrawl
• Large enterprise SEO: Jetoctopus or Oncrawl
• Engineering-heavy organization: Elastic/Grafana + custom dashboards
• Teams focused on AI search/GEO: Plumb + server logs

If your stack already includes Cloudflare, BigQuery, GA4, and Google Search Console, I'd recommend building a unified reporting pipeline rather than relying on a standalone SEO tool. That approach can combine:

• server log events,
• verified AI crawler traffic,
• Googlebot crawl behavior,
• Search Console impressions and indexing,
• GA4 landing-page performance,
• and AI referral traffic,

into a single executive dashboard that's often more comprehensive than any off-the-shelf SEO platform.