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Server-level capture of AI bot crawls, conversation citations, and real-user referrals across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. The data GA4 and your CMS analytics miss by 2.5x to 5x, delivered in one live dashboard.
First 30 days
are free
They're sending bots to your site to train on content or answer user queries in the conversation window.
Those bots never clock out, and almost none of them show up in GA4. WISLR keeps watch on all of it: which models are crawling your pages, what they're reading, and when those AI conversations turn into real visitors and revenue.
Test your site for same-day activation
We check whether your domain is served through Cloudflare's edge, the fastest path to turning on server-level AI traffic capture.
Green means that metric is growing, so lean into your current strategy, it's producing results. Red is your cue to dig into the website and fix what's slipping before it compounds.
Each bot appears on the day of the week it crawls most, over the last 8 weeks.
Where AI chat referrals are landing most over the last 30 days.
These pages are attracting visitors from AI sources more than any other on the site. Make sure the content, offers, and the path to contact are strong on these pages so the extra visitors turn into customers.
Each square is one day over the last year. Brighter means more activity.
Browser-based tools see what a browser will run and report. Server logs see every request that reaches the site, exactly where AI-channel traffic shows up.
AI crawlers and answer engines fetch pages without running JavaScript, so browser-based tags never fire. Server logs record every one of those requests.
Ad blockers, privacy browsers and cookie-consent opt-outs silently drop 10 to 40% of browser-based hits. A server log captures the request no matter what.
Browser-based tracking needs a script to load and execute. Server logs capture the visit the instant it reaches the server, even if the page never finishes rendering.
Logs are unsampled, first-party records you own, not the thresholded, modeled estimates that browser-based platforms report.
LLM activity is not a single number. It is four signals, each produced by a different AI behavior, invisible to browser-based analytics in a different way.
GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bytespider, and CCBot reading your pages on a schedule to feed the next model. The signal that decides what AI knows about your brand.
ChatGPT-User, Claude-User, and Perplexity-User fetching pages mid-chat to answer real-user questions. The closest thing to a vote of confidence AI produces. Never appears in GA4.
Visitors who clicked an AI citation and landed on your site. Partially visible in GA4 but undercounted by 2.5x to 5x because of mobile WebView and missing referrer behavior.
AI-referred visitors who become revenue: orders, form fills, and booked calls, matched back to their AI source with IP-to-order attribution. The signal that proves the channel pays.
Most tools stop at numbers that look interesting. WISLR is built for the growth decisions behind them: is the strategy working, and where should it go next?
WISLR's reporting data answers one question first: is the digital strategy actually producing results, not just activity.
Surface the plays that are winning, so you can put more behind what works.
Quickly find the areas underperforming and where a change in approach will move the numbers.
Know which ideas aren't producing results, so budget and effort stop following them.
Trace the leads coming in from AI channels back to their source, with attribution trustworthy enough to invest behind.
Most AI-visibility tools tell you whether AI mentions your brand. WISLR measures the traffic and leads the AI channel actually sends, and tells you what to do about it. Here is the same month, seen two ways.
Share of voice
Traffic and leads that reached the site: not measured. Estimated from sampled prompts, with no link to real visits, customers, or revenue.
AI-channel traffic detected · 28 days
No JS dependency, no cookie consent gaps, no platforms passing attribution. Edge capture means we see every request, including bots GA4 cannot.
Every HTTP request hitting your domain is captured at the edge, including requests from AI bots that never execute JavaScript.
User-agent plus verified IP range matching to classify every bot by platform with high confidence.
Referrer IPs matched to order confirmations for verified revenue attribution, with probabilistic matching for the rest.
Positioned on the axes that matter for AI: how much of the AI channel a tool can see, and how trustworthy its attribution is. Browser-based tools cluster low on both, a handful of server-level platforms climb the field, and WISLR leads.
Several browser-based tools now offer optional server-level ingestion, but their core behavior data still originates in the browser, so they never move far right: they keep missing the AI crawlers and answer engines that don't run a script.
Most server-level analytics aren't log-based. WISLR's log-based approach includes proprietary algorithms for bot and human activity, and produces the most complete first-party record of what reached the site.
| Capability | WISLR log-based | Browser-based tracking | Server-level tracking |
|---|---|---|---|
| Sees AI crawlers & answer engines | Every request, straight from the log | No. Bots never run JavaScript | Partial, depends on ingestion |
| Survives ad blockers & consent opt-outs | Captured at the server, no matter what | Loses 10 to 40% of hits | Mostly |
| Works without JavaScript | Yes. Recorded the instant a request arrives | No. A script must load and fire | Sometimes |
| Data quality | Unsampled first-party records you own | Sampled, thresholded, modeled | Varies by pipeline |
| Bot vs. human separation | Proprietary bot and human algorithms | Limited | Basic filtering |
| AI revenue attribution | IP-to-order attribution, tied to revenue | Blind spot | Partial |
The first 30 days are free. After that, a single flat monthly subscription that scales with your monthly session volume. Every plan includes the live dashboard and edge data capture. Strategic consulting is a separate engagement, see below.
AI Channel Analytics is the data. Strategic consulting is the work to act on it. Our Senior Strategist engagement is a separate quarterly retainer for teams that want a partner to interpret the dashboard, prioritize the gaps, and ship the changes that move the metrics.
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