At a Glance

  • AI Sightline LLC has launched a complete platform for AI search analytics.
  • The new platform unifies various AI visibility tools into a single dashboard.
  • It includes a free tier and addresses fragmented data attribution challenges.

AI Sightline LLC, based in Mountain Home, Arkansas, has announced the launch of its complete AI search analytics platform, unifying mention tracking, bot crawl logging, AI referral click attribution, citation sentiment analysis, and an automated recommendations engine into a single dashboard. This new offering aims to consolidate a fragmented category that previously required multiple tools and manual tracking. The platform is immediately available across all pricing tiers, including a $0 per month free option with no credit card required.

Unifying Fragmented AI Search Workflows

The new platform by AI Sightline integrates several critical functions previously spread across multiple tools and spreadsheets. These capabilities include scanning mentions across six prominent AI engines: ChatGPT, Claude, Perplexity, Gemini, Microsoft Copilot, and Google AI Overviews. It also offers competitor benchmarking with share-of-voice scoring and citation tracking with sentiment analysis.

A core component is the AI bot crawl logging, which captures data from GPTBot, ClaudeBot, PerplexityBot, and other AI crawlers server-side. The platform also includes a recommendations engine that ranks fixes by predicted impact on the visibility score, and a discovery layer that monitors what AI engines pull from llms.txt files, sitemaps, and structured data markup. Additionally, the platform provides AI referral click attribution for real human visitors, regardless of device or AI engine used.

"Most AI search workflows today span three SaaS logins and a spreadsheet. We just collapsed the entire stack. You see the prompt that triggered the citation, the citation that drove the click, the click that landed on a page, and the fix that will move the score, all in one place. The category has been promising this for two years. We shipped it."

— Mac MacDonald, Founder, AI Sightline

Addressing Data Attribution Challenges

One significant feature of the AI Sightline platform is its new AI traffic layer, which captures referral clicks server-side. This capability directly addresses a documented gap in traditional marketing analytics, where a substantial portion of AI-driven traffic often appears as "(direct) / (none)" in Google Analytics 4. This issue arises because mobile in-app browsers in AI assistants can strip the HTTP Referer header.

A February 2026 analysis of 20,428 AI-driven visits showed that 70.6 percent of clicks from AI assistants lacked source attribution in GA4. AI Sightline's server-side approach aims to capture this traffic, providing complete data regardless of whether the visitor arrived from a desktop browser or a mobile in-app browser. Installation of the AI traffic layer takes approximately 30 seconds via three paths: a Vercel marketplace integration, a Cloudflare Worker template, or a generic middleware snippet compatible with Next.js, Express, Fastify, Hono, Astro, Remix, and other frameworks. AI bot crawl traffic bypasses pageview caps on every tier, ensuring even Free tier customers see complete bot crawl data.

The complete platform is available across all five pricing tiers: Free at $0 per month, Starter at $29.95, Pro at $149.95, Business at $289.95, and Agency at $549.95. The company highlights that a comparable platform on the market is priced at $399 per month for a narrower feature set. AI Sightline plans to publish its first State of AI Search Traffic report in Q3 2026, based on aggregated platform data across customer brands.

The launch positions AI Sightline to provide marketing, SEO, and product teams with a unified solution for AI search analytics. By consolidating disparate tools into one platform, the company aims to streamline the process of tracking brand visibility and traffic from AI engines. This development could offer businesses clearer insights into their performance in the evolving AI search landscape.