Siteline
Siteline is an analytics layer for AI agent traffic. It reads your server data to reveal which agents, chatbots and crawlers fetch your pages, where they stall, how often AI platforms cite your brand, and what to fix.
What is Siteline?
Siteline is an analytics layer built for a web where humans are no longer the only visitors. Published by Large Language Analytics, Corp., it measures how AI agents, chatbots and crawlers interact with a website, and how that non-human traffic converts into human visits and customers. The premise is blunt: roughly 30% of web traffic already comes from agents and bots, and conventional analytics tools cannot see any of it.
The product rests on two pillars. Agent Analytics monitors every AI agent, chatbot and crawler in real time, showing which pages they fetch, which topics they favour, and exactly where they get stuck, whether that is a robots.txt rule, a slow page or a missing format. A per-platform breakdown covers OpenAI, Claude, Gemini, Perplexity and Meta AI, pairing agent visits with the human referrals they generate. Visibility Tracking measures the share of AI answers in which a brand or product appears, broken down by prompt, topic and platform, alongside competitive positioning, citation monitoring showing which sources the models quote, and sentiment analysis of how AI describes a product's strengths and weaknesses.
What separates Siteline from GEO and AEO tools, in its own framing, is method. Those simulate prompts to guess how models might perceive a brand; Siteline reads actual server data. Measurement rather than estimation.
Above both pillars sits an insights agent that cross-references traffic and visibility to surface the strongest opportunities, with follow-up questions available in the app or through an MCP connection. Recommendations arrive ranked by impact and effort, each carrying a description, a suggested action and the evidence behind it.
Integration happens at the infrastructure layer rather than through a page tag. Vercel, Cloudflare, Netlify, Azure CDN, Fastly, AWS CloudFront, Next.js and WordPress are documented, with a direct HTTP API for anything else, plus a Reporting API and an MCP server. Two resources are free to everyone: an Agent Readiness Check that evaluates crawlability and bot accessibility, and an AI Agent Directory cataloguing 71 agents, bots and crawlers. Siteline claims more than 1,000 companies and agencies as customers and was voted #1 Product of the Day on Product Hunt.
What it does
- Identify every AI agent, chatbot and crawler visiting your site, and the pages each one fetches
- Pinpoint what blocks agents, from robots.txt rules to slow pages and missing formats
- Measure the share of AI answers mentioning your brand, by prompt, topic and platform
- Monitor which sources AI platforms cite when answering questions about your category
- Benchmark your visibility against competitors and expose content gaps
- Receive content and technical recommendations ranked by impact and effort
- Follow the path from agent visit to human referral to new customer
When to use Siteline / When not to
A quick filter to help you decide if Siteline is the right fit.
When to use Siteline
- Marketing and SEO teams tracking brand mentions, citations and referral traffic coming from ChatGPT and other AI platforms
- Developer-focused companies that need proof their documentation is actually being fetched by coding agents such as Claude Code and Cursor
- Agencies managing AI visibility across several clients, using the dedicated agency account type
- Content and product marketing teams looking for evidence-based guidance on which pages and topics to improve
- Growth leaders at documentation-heavy or technical SaaS companies treating AI search as their next acquisition channel
When not to use Siteline
- Anyone wanting a mobile app: Siteline ships neither an iOS nor an Android application
- Teams expecting the tool to write content for them, since it produces recommendations but no copy
- Sites that cannot expose server or CDN data and cannot call the direct HTTP API, which leaves nothing to measure
- Organisations with strict GDPR procurement requirements, as the site publishes no DPA, no EU representative and no data hosting location
- Non-English-speaking teams needing a localised interface, as no list of supported languages is published
How to use Siteline
A typical end-to-end flow, from setup to results.
- Run the free Agent Readiness Check first, without an account, to see whether agents can already discover and read your content
- Create an account from the sign-up page; the free tier needs no credit card
- During onboarding, pick your account type, choosing agency if you manage several clients' products and competitors separately
- Connect your server data source: Vercel, Cloudflare, Netlify, Azure CDN, Fastly, AWS CloudFront, Next.js, WordPress or a website builder
- If your stack is not covered, integrate through the direct HTTP API using the credentials described on the Authorization page
- Open the dashboard to read the headline metrics: AI agent visits, human visits from AI, brand AI visibility and citations
- Explore Agent Visits, Pages and the Log Explorer to see which pages agents fetch and where they get stuck
- In Visibility Tracking, identify the prompts and topics that matter in your category, then follow your share of answers and rank
- Work through the Optimize section, where recommendations are ranked by impact and effort with the supporting evidence
- Query the Reporting API or connect via MCP to push findings into your own tooling, and book a 20-minute demo if you need guidance
Pros & Cons
Pros
- Measures real server traffic instead of simulated prompts, which is the tool's central and credible differentiator
- Permanent free tier with no credit card required, plus a free trial of the paid plans
- Integrates at the CDN or hosting layer, so no tracking script has to be added to your pages
- Reporting API and MCP server are documented, making findings usable outside the interface
- Two genuinely free tools, the Agent Readiness Check and the AI Agent Directory, usable without an account
- Entry pricing of USD 49.00 per month stays within reach of a small team, and agencies get a dedicated account type
- A named, quantified customer case study is published rather than anonymous claims
Cons
- Corporate transparency is thin: no postal address anywhere, and /about, /contact and /features all return genuine 404s
- A single shared mailbox, team@siteline.ai, covers legal, privacy and support, and it is obfuscated rather than shown in plain text
- The privacy policy is a generic template carrying clauses irrelevant to the product, such as sweepstakes, deliveries and product recalls
- No GDPR mention at all, no DPA, no Article 27 EU representative and no published subprocessor list
- Nothing is disclosed about where customer data is hosted, and no security certification such as SOC 2 or ISO 27001 is displayed
- The site takes no published position on whether customer data is used to train AI models
- A young offering with prices absent from the HTML, and a FAQ that contradicts the billing data on which plan unlocks Slack support
Pricing & Plans
Siteline offers a permanent free plan at USD 0.00 per month, advertised as requiring no credit card, together with a free trial of the paid tiers. The lowest paid entry point is the Starter plan at USD 49.00 per month, billed monthly. Prices were observed on 25 August 2026.
- USD 0.00 per month - permanent free tier
- no credit card required
- 500 monthly prompt runs
- 10 products / competitors
- 1M analytics events
- customized recommendations
- email support
- 1
- 100 monthly prompt runs
- 50 products / competitors
- 5M analytics events
- customized recommendations
- email support
- 4
- 000 monthly prompt runs
- 100 products / competitors
- 20M analytics events
- customized recommendations
- Slack and email support
- price on request - flexible plan for advanced monitoring and optimization
- add-on product
- no unit price published
Data, GDPR & hosting
A consolidated view of how Siteline handles your data.
GDPR overview
There is no mention of the GDPR anywhere on the site. Neither the privacy policy nor the terms of service reference the regulation, a legal basis for processing, data subject rights under EU law, an EU representative under Article 27, or a Data Protection Officer. The only occurrence of the term is a technical front-end call used by the cookie consent manager to decide whether to display a banner, which carries no compliance value. The documents are American in orientation: the deletion right is drafted in CCPA style and cites the California Electronic Communications Privacy Act, while disputes go to binding arbitration under the Federal Arbitration Act. Minimum age is set at 16. Privacy questions go to a single shared address, team@siteline.ai.
Who owns the data?
The publisher, Large Language Analytics, Corp., presents itself as the owner of everything on its site: text, graphics, logos and software are described as its property, protected by intellectual property law. On the customer side, the privacy policy covers personal data rather than analytics content, and states that the company does not sell, rent or lease its customer lists. Data may be shared with unnamed trusted partners for statistical analysis, email, customer support and deliveries, and may be disclosed without notice where the law requires it. Users can request deletion, subject to a list of exceptions. No clause defines ownership of the traffic data analysed.
Reuse rights
The terms are restrictive. Site content is the property of Large Language Analytics, Corp., and users agree not to modify, publish, transmit or create derivative works from it, to observe all copyright notices, and to use protected content solely for personal use. Proprietary rights and attribution notices must not be deleted or altered. In short, an end user cannot freely reuse the publisher's material without permission. The documents say nothing about reuse of the customer's own analytics data or exports, so no permission or restriction is documented on that point.
Data retention & training
Hosting summary
Siteline discloses no hosting jurisdiction. The privacy policy states only that data may be stored on servers provided by third-party hosting vendors under contract, without naming a country, a region or a provider, and no subprocessor list is published. Security measures are described briefly: the SSL protocol and encryption in transit, with an explicit caveat that no transmission over the internet can be guaranteed completely secure. No certification such as SOC 2 or ISO 27001 is displayed. Observation of the site itself shows it is served behind Cloudflare, with the application backend on Supabase and payments handled by Stripe, but these are technical findings rather than commitments made by the publisher, and they say nothing about where customer analytics data ultimately resides. Anyone with a data residency requirement should ask before subscribing.
Things to keep in mind
Risks and trade-offs to weigh before adopting Siteline.
- The free trial converts automatically: if you do not cancel before it ends, the selected plan is charged, and processed payments are non-refundable with no partial refunds
- Monthly quotas on prompt runs, tracked products and analytics events cap what you can measure, so an active month can hit a ceiling mid-cycle
- Publisher transparency is weak, with no postal address, no about or contact page and one shared mailbox, which leaves little recourse if a dispute arises
- The legal documents are generic and never mention the GDPR, so EU organisations cannot rely on them for a compliance file
- Neither the hosting location nor any retention period is disclosed, and the site takes no position on whether customer data trains AI models
- Optimising for machine readers can quietly degrade pages written for people; treat recommendations as input to judgement, not as instructions to apply wholesale
- Visibility and citation figures describe third-party AI platforms that change without notice, so trends can move for reasons that have nothing to do with your site
Setup & Integrations
Technical difficulty
Moderate, and highly dependent on your stack. There is no script to place on your pages: Siteline reads server or CDN data, so setup means connecting a source. If you already run Vercel, Cloudflare, Netlify, Azure CDN, Fastly, AWS CloudFront, Next.js or WordPress, a documented one-page integration is enough and first insights are promised within minutes. Anything else goes through the direct HTTP API, which requires developer involvement and API credentials. The free Agent Readiness Check needs no setup at all.
Deployment
Integrations
Behind Siteline
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Siteline.
Frequently asked questions
What exactly does Siteline measure?
How is it different from GEO and AEO tracking tools?
Is there a free plan, and how much does it cost afterwards?
How do I connect my website?
Does Siteline offer an API?
Does it work for agencies?
What support is included?
Is Siteline GDPR compliant?
Where is my data hosted and how long is it kept?
Is there a minimum age or a mobile app?
Should you pick Siteline?
Siteline addresses a problem that barely existed two years ago and is now hard to ignore: a growing share of the traffic reaching a website comes from AI agents, and conventional analytics tools are blind to it. Its answer is convincing in method. Rather than simulating prompts to guess how models see a brand, it reads actual server data, then joins that observed agent behaviour to brand visibility, citations and the human visits that follow. The two halves reinforce each other, and the recommendations layer, ranked by impact and effort with supporting evidence, turns the data into something a team can act on.
The practical barriers are low. Integration sits at the CDN or hosting layer rather than in a page tag, a permanent free tier needs no credit card, paid access starts at USD 49.00 per month, and the Agent Readiness Check lets anyone test the premise before signing up. A Reporting API and an MCP server keep the findings portable.
The reservations are about the publisher rather than the product. Large Language Analytics, Corp. publishes no postal address, no about page and no contact page; a single shared mailbox answers legal, privacy and support questions; and the legal documents are a generic template that never mentions the GDPR, offers no Data Processing Agreement and names no EU representative. Nothing is said about where data is hosted, how long it is kept, or whether it trains any model. For a marketing team that is a manageable risk; for regulated or EU-heavy procurement it is a real obstacle. Worth trying on the free tier, worth asking hard questions before committing.
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