Botify
Botify · Image · Chatbot
Botify is an enterprise SEO platform that crawls large websites, reads server logs, and prepares pages for AI search, so teams can find visibility problems and fix them faster.
About Botify
What Is Botify
Botify is a search analytics platform built for sites that are too big to audit by hand. Retailers, marketplaces, travel brands and publishers use it to see what search engines actually crawl, which pages get skipped, and where organic revenue is leaking. The company started in Paris in 2012 and now sells mostly to enterprise teams.
The product does three jobs. It crawls your site the way a search bot would. It lines those crawls up against server logs and click data. Then it ranks every URL by the traffic or revenue it could earn, so a small team can decide what deserves attention this week.
The catch is the sales model. There's no self-serve signup and no published price list. You book a demo, and a contract follows. Teams running a few thousand pages usually get better value from lighter technical SEO audit tools.
Getting Started
- Request a demo and connect the domain you want to analyze.
- Verify ownership, then run a first crawl from the dashboard.
- Connect server logs, Google Search Console and GA4 so crawl data has traffic context.
- Build segments, open the priority list, and assign fixes to the people who own those templates.
Product Information
A quick look at Botify's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Enterprise SEO leads
- Technical SEO specialists
- Ecommerce teams with fast catalog churn
Tasks
- Auditing how bots crawl a large site
- Watching AI crawler and referral traffic
- Shipping fixes without a developer sprint
- Prioritizing pages by organic revenue
Scenarios
- Replatforms and migrations
- Sites with millions of URLs
- AI search visibility programs
Key features
Crawler Built for Huge Sites
The crawler works at the scale of large catalogs, with configurable frequency, user agent and crawl scope. It records response codes, headers, load time and rendered content per URL, so a technical SEO audit starts from evidence rather than guesswork. Snapshots are kept over time, which makes it easy to prove whether a fix landed.
Log File Analysis
Upload raw server logs and Botify matches each hit to a known URL, a bot and a response code. You can see how much crawl activity lands on pages that earn nothing, and how quickly new pages get discovered. Access to logs is the one prerequisite, and some teams need help from their hosting or CDN provider to get them.
AI Readiness
AI Readiness is the newer half of the platform. It serves content to AI agents in HTML or Markdown, speeds up delivery of JavaScript-heavy pages to bots, and pushes enriched product feeds to the systems that power AI shopping. The goal is simple: get read, then get recommended.
SEO Automation
PageWorkers lets you deploy changes without touching the codebase. You write a rule, target a segment of URLs, and push tags, redirects or robots directives through a script tag. Changes are reversible, which makes testing cheap. It won't replace real template work for structural problems.
Revenue and Traffic Segmentation
Every URL carries estimated sessions, conversions and revenue, grouped into segments you define by template, brand, category or margin. That ranking is what turns a 40,000-row export into a three-item to-do list. Teams that skip segmentation tend to drown in the data.
API and Warehouse Access
A documented API and data exports let analysts pull crawl, log and keyword data into their own stack. Botify also supports warehouse sharing, so BI teams can join search data with sales numbers. It's the reason the platform survives procurement reviews at large companies.
Pros and cons
Pros
- Crawl data, logs, keywords and revenue estimates share one model, so you stop reconciling four exports by hand.
- Segmentation by template and margin makes the priority list short enough to act on.
- AI Readiness covers LLM crawler access and product feeds, a gap most classic SEO suites still leave open.
- Automation runs through the tag manager, so small fixes ship in hours instead of a sprint.
- Support and consulting teams get consistent praise from enterprise users for hands-on help with large sites.
Cons
- No free plan, no trial and no public pricing, which rules out testing before a sales call.
- The annual contract puts it out of reach for small businesses and solo consultants.
- Log file analysis depends on server access you may not control, and setup can stall while you chase hosting teams.
- The interface assumes you know technical SEO vocabulary, so marketers new to the field need training before the dashboard makes sense.
Frequently asked questions
It crawls a website, compares those crawls with server logs and search data, then ranks URLs by the traffic and revenue they could earn. The output is a worklist for technical SEO fixes, plus reporting that shows whether each fix moved anything.
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