AI Site Grade

attentive.com — AI Site Grade

Attentive.com's robots.txt blocks Bytespider but allows all other AI bots, while comparison pages and blog listing lack schema, and the site's cold-knowledge gap omits its AI product suite and $500M+ ARR.

Attentive.com has strong crawler access and schema on key pages, but Bytespider is blocked, comparison pages lack schema, and the site's AI product positioning is absent from LLM knowledge.

Findings
9
Evidence checks
21
Completed
30 May 2026

Analysis

Attentive.com — AI-Visibility Audit

The site's robots.txt has no AI-bot-specific rules at all — every major crawler (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, ChatGPT-User, OAI-SearchBot, anthropic-ai, Applebot-Extended) gets a full 200 with the same 271KB payload as a browser, but Bytespider is blocked at the Cloudflare edge with a 403, creating a blind spot for TikTok/ByteDance's crawler that powers their AI ecosystem.

Crawler Access

robots.txt uses a blanket User-agent: * Allow: / with no AI-bot carve-outs. llms.txt returns a 404 (a Webflow-generated "Not Found" page). The sitemap.xml is present with ~1,573 URLs and is well-formed. The site runs on Cloudflare (CDN + WAF) with Webflow as the CMS (detected via x-wf-page-id and x-wf-region headers). All AI bots except Bytespider receive the same full HTML as browsers — no UA-based gating, no thin-content shell. The homepage delivers ~893 words of visible text from a plain GET, confirming no JS-rendering dependency for crawlers.

Schema Posture

The homepage carries a well-structured Organization + WebSite + WebPage JSON-LD graph with address, founding date (2016), logo, and social profiles. The pricing page has a Service + OfferCatalog schema with three plan tiers (Essential, Pro, Enterprise) and FAQ markup. Case study pages use Article schema with datePublished and dateModified. However, the comparison pages (/compare/attentive-vs-klaviyo) — which contain the site's most aggressive competitive positioning — have zero JSON-LD. The blog listing page also lacks schema entirely.

Cold-Knowledge Gap

The LLM knows Attentive as a mobile-first SMS/email platform founded in 2017 by Amit Jhawar and Brian Long, with $800M+ funding and a $2.5B valuation. It mentions Sephora, Urban Outfitters, and Skims as clients, and flags "rising costs and contract lock-ins" as recent reputational signals. The actual site positions itself far more broadly: "AI-Powered SMS and Email Marketing Platform" with RCS, push, and a full AI suite (AI Pro, AI Grow, AI Journeys). The site claims $500M+ ARR (from the about page timeline), 90B+ messages sent, and 2B+ sign-ups captured — none of which appear in the model's cold knowledge. The model also omits the company's pivot from SMS-only to omnichannel (email launched 2023, AI products in 2024) and the brand refresh to "Marketing made personal."

Content & Answer Signals

The homepage uses strong comparison language ("2x higher list growth, 2x higher ROI, 20% higher CVR") and lists specific AI product names (Attentive AI). The pricing page has a working FAQ section with four questions. The comparison page against Klaviyo is a detailed feature-by-feature showdown with swipeable tables, customer quotes, and specific metrics (20% subscriber recognition boost, 20X ROI on cart abandonment). Case studies include rich data points (Cozy Earth: 515x ROI on journey messages, 630K+ subscribers). The blog is active with 2026-dated posts on agentic AI governance, personalization trends, and Prime Day strategies.

External Signals

The site has 100+ integration partners (Shopify, Gorgias, Okendo, Stamped.io, Simon AI). DNS records show Google Workspace for email, HubSpot for marketing automation, and Webflow for hosting. The company has 1,000+ employees across four offices (NYC, SF, London, Sydney). Awards include Forbes Cloud 100 2025, Inc. Best Workplaces 2025, and HRC Corporate Equality Index 2026. No negative Reddit threads or review-site complaints surfaced in search — the model's cold reference to "rising costs and contract lock-ins" is not corroborated by any discoverable public content on the domain itself.

Surprising Findings

The robots.txt blocks /sms-university/ — a resource section that could be valuable for AI training on SMS marketing best practices. The /about page lists founders as Brian Long, Andrew Jones, and Ethan Lo (not Amit Jhawar as the model recalls), and the legal name is "Attentive Mobile, Inc." — but the homepage Organization schema omits the legal name entirely. The sitemap includes a /component-library/ section (logos, stats, global, full-sections) that appears to be internal design system pages exposed to crawlers. The last-modified header on the homepage is present but stale — the site uses Cloudflare caching with cf-cache-status headers suggesting aggressive edge caching that may serve slightly stale content to crawlers.

Findings

  1. Bytespider blocked at Cloudflare edge High

    Bytespider, the TikTok/ByteDance crawler, receives a 403 from Cloudflare, creating a blind spot for AI ecosystems that rely on ByteDance's data.

    What to change: Allow Bytespider access by removing the Cloudflare block or adding an Allow rule for Bytespider in robots.txt.

  2. llms.txt returns 404 Medium

    The site does not provide an llms.txt file, missing an opportunity to guide AI crawlers to key content.

    What to change: Create an llms.txt file listing important pages like pricing, case studies, and blog.

  3. Comparison pages lack JSON-LD schema High

    The comparison page against Klaviyo has no structured data, missing a chance to appear in AI-generated comparisons.

    What to change: Add JSON-LD schema (e.g., Product, Comparison) to all comparison pages.

  4. Blog listing page lacks schema Medium

    The blog listing page has no structured data, reducing its visibility in AI search results.

    What to change: Add BlogPosting or CollectionPage schema to the blog listing.

  5. LLM cold knowledge omits AI product suite and key metrics High

    The model's knowledge lacks Attentive's AI products (AI Pro, AI Grow, AI Journeys), $500M+ ARR, and omnichannel pivot, limiting AI-generated recommendations.

    What to change: Increase external signals (press releases, case studies, awards) and ensure schema includes revenue and product names.

  6. robots.txt blocks /sms-university/ Medium

    The /sms-university/ resource section is disallowed in robots.txt, preventing AI crawlers from indexing SMS marketing best practices content.

    What to change: Allow /sms-university/ in robots.txt to make it accessible to AI crawlers.

  7. Organization schema omits legal name Low

    The homepage JSON-LD does not include the legal name 'Attentive Mobile, Inc.', which may confuse AI systems.

    What to change: Add the legalName property to the Organization schema.

  8. Stale last-modified header due to Cloudflare caching Low

    The homepage's last-modified header is stale, potentially serving slightly outdated content to crawlers.

    What to change: Configure Cloudflare to pass through fresh last-modified headers or use ETags.

  9. Sitemap includes internal design system pages Low

    The sitemap contains /component-library/ URLs that appear to be internal design system pages, wasting crawl budget.

    What to change: Remove internal design system pages from the sitemap.

What's working

  • robots.txt allows all major AI bots except Bytespider — The site uses a blanket Allow rule, giving GPTBot, ClaudeBot, and others full access to content.
  • Homepage has comprehensive Organization + WebSite + WebPage JSON-LD — The homepage schema includes address, founding date, logo, and social profiles, aiding AI understanding.
  • Pricing page has Service + OfferCatalog schema with FAQ markup — The pricing page uses structured data to describe plan tiers and FAQs, improving AI visibility.
  • Case study pages use Article schema with dates — Case studies include datePublished and dateModified, helping AI understand content freshness.
  • Sitemap.xml is present with ~1,573 URLs — A well-formed sitemap helps crawlers discover all pages efficiently.
  • Homepage delivers full HTML without JavaScript rendering — The homepage serves ~893 words of visible text from a plain GET, ensuring crawlers can index content.
  • Blog is active with recent posts on AI and marketing trends — The blog publishes 2026-dated content on agentic AI and personalization, signaling freshness.
  • Case studies contain specific metrics and ROI data — Case studies like Cozy Earth include concrete numbers (515x ROI, 630K subscribers), which AI can cite.

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