scanned Apr 30, 2026

Espressio AI

espressio.ai

ai-mlVisit site →

Espressio AI builds AI systems for marketing teams to automate repeatable work, focusing on content creation, lead generation, and competitive intelligence.

18/100

Tier 1 · Agent-Unreadable

Content answers9/100
Protocol plumbing56/1009 of 16 checks pass
Re-audit3170h ago· 1 credit

Scored by asking 15 questions a buyer of a ai-ml product asks, then grading this site’s own pages: answered, hedged (partial or vague), or silent (no page answers it). How scoring works

15 buyer questions · graded against the site’s own pages

0 of 15 come back answered. 3 get a hedge. 12 meet silence.

0 answerable3 half-answers12 silent

Goes silent · integration · high importance

We're on HubSpot Enterprise — how often does Espressio sync lead scores back to our CRM, and can we trigger real-time updates instead of batch?

Goes silent · pricing · high importance

If we blow past our monthly AI content generation quota, do you cut us off completely or charge overage fees per extra thousand words?

This report is public. Own espressio.ai? Claiming is free: crawl every page, re-audit as you fix, and track your score over time.

Sign in to claim

The fix queue

82 points sit between espressio.ai and 100: 15 open questions and 7 missing protocol checks, ordered by estimated payoff.

Point estimates are per fix under scoring v2. They are not additive to a promised total.

01integration · importance highGoes silent+7 content pts est.

We're on HubSpot Enterprise — how often does Espressio sync lead scores back to our CRM, and can we trigger real-time updates instead of batch?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated integrations or technical documentation page covering supported CRMs (especially HubSpot), sync frequencies, real-time vs batch options, and configuration details for enterprise plans.

confidence high · grounding world-knowledge · weight 0.00 · Absent

02pricing · importance highGoes silent+7 content pts est.

If we blow past our monthly AI content generation quota, do you cut us off completely or charge overage fees per extra thousand words?

What the pages say

No page on the site addresses this.

The fix

Add a dedicated pricing page or FAQ entry explaining the quota structure for AI content generation, including what happens when customers exceed their monthly limits (hard cutoff vs. overage fees with specific rates).

confidence high · grounding world-knowledge · weight 0.00 · Absent

03pricing · importance highGoes silent+7 content pts est.

I'm comparing plans for my 12-person growth team — what's the exact lead volume limit on your Starter tier before we get forced to upgrade?

What the pages say

No page on the site addresses this.

The fix

If Espressio.AI does offer tiered plans with lead volume limits, create a dedicated pricing page with clear tier comparisons including specific limits and upgrade triggers. If they only do custom proposals, clarify this distinction prominently to set proper expectations for buyers comparing against SaaS alternatives.

confidence high · grounding world-knowledge · weight 0.00 · Absent

04integration · importance mediumGoes silent+7 content pts est.

For our custom lead scoring system, what authentication methods do your webhooks support — just HMAC signatures or can we use mTLS or static IP allowlisting?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated technical documentation page or developer section covering webhook authentication options, including supported methods (HMAC, mTLS, IP allowlisting) and configuration instructions.

confidence high · grounding world-knowledge · weight 0.00 · Absent

05operations · importance mediumGoes silent+7 content pts est.

We run three distinct brands under one agency — can we silo workspaces so Brand A's AI training data never influences content suggestions for Brand B?

What the pages say

No page on the site addresses this.

The fix

Add a dedicated FAQ or documentation page addressing multi-brand/agency use cases, specifically explaining workspace isolation, data segregation between brands, and whether AI models are trained per-workspace or globally.

confidence high · grounding world-knowledge · weight 0.00 · Absent

06support · importance mediumGoes silent+7 content pts est.

If our automated lead routing breaks on a Friday evening, what's your guaranteed response time for P1 incidents on the Growth plan versus Enterprise?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated support/SLA page that defines incident severity levels (P1/P2/P3), guaranteed response times by plan tier, and coverage hours including weekend/holiday support for critical issues.

confidence high · grounding world-knowledge · weight 0.00 · Absent

07technical · importance mediumGoes silent+7 content pts est.

You mention 'brand voice training' — can we upload our own fine-tuned GPT-4 checkpoint, or are we limited to your preset tone sliders and example documents?

What the pages say

No page on the site addresses this.

The fix

Add a technical FAQ or documentation page explaining brand voice customization options, specifically addressing: (1) whether custom fine-tuned GPT-4 checkpoints can be uploaded, (2) what preset tone controls are available, and (3) how example document training works.

confidence high · grounding synthesized · weight 0.00 · Absent

08limits · importance lowGoes silent+7 content pts est.

We're building a real-time dashboard hitting your API — what's the concurrent connection limit per API key, and do you offer dedicated throughput for high-volume partners?

What the pages say

No page on the site addresses this.

The fix

If Espressio does offer API access to their systems, create a dedicated API documentation page covering authentication, rate limits, concurrent connection limits, and enterprise throughput options. If they don't offer public API access, clarify this on a technical architecture or capabilities page to set proper expectations for technical evaluators.

confidence high · grounding world-knowledge · weight 0.00 · Absent

09migration · importance lowGoes silent+7 content pts est.

We're migrating from Marketo — does your import tool handle their Velocity script tokens and custom object relationships, or do we rebuild those manually?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated migration page or FAQ section addressing common platform transitions (Marketo, HubSpot, Pardot, etc.) that explains what data/objects can be migrated automatically versus what requires manual rebuild. Include specific technical details about Velocity scripts, custom objects, and API limitations.

confidence high · grounding world-knowledge · weight 0.00 · Absent

10operations · importance lowGoes silent+7 content pts est.

For our SOC 2 audit, how far back do your admin audit logs go — can we export 18 months of user activity and AI decision rationales in one shot?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated Security & Compliance page covering SOC 2, audit log retention periods, export capabilities, and AI decision logging. Alternatively, add an FAQ section on data retention and audit exports.

confidence high · grounding world-knowledge · weight 0.00 · Absent

11security · importance lowGoes silent+7 content pts est.

Our legal team needs your current subprocessor list for AI inference — are you using OpenAI directly, Azure OpenAI, or other providers, and which data residency regions apply?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated subprocessor list page or security/trust documentation that explicitly names AI inference providers (e.g., OpenAI, Azure OpenAI, Anthropic, etc.) and specifies data residency regions for each. Legal teams evaluating vendors require this transparency.

confidence high · grounding synthesized · weight 0.00 · Absent

12technical · importance lowGoes silent+7 content pts est.

Your AI generates blog content — do you run originality checks against Copyscape or similar before delivery, or is that our responsibility to verify post-generation?

What the pages say

No page on the site addresses this.

The fix

Add a FAQ entry or documentation page clarifying whether Espressio runs originality/plagiarism checks (e.g., Copyscape, Grammarly, Turnitin) on generated content before delivery, or if this is the client's responsibility.

confidence high · grounding world-knowledge · weight 0.00 · Absent

Hedged · 3 of 15 questions

A buyer gets something, then has to guess the rest. Expand any row for the evidence and the fix.

13Your competitive intel feature mentions tracking rivals — which specific data sources do you pull from (job boards, pricing pages, ad libraries) and what's the refresh cadence for each?limitsHedges+7 pts est.

Your competitive intel feature mentions tracking rivals — which specific data sources do you pull from (job boards, pricing pages, ad libraries) and what's the refresh cadence for each?

What the pages say

No page on the site addresses this.

The fix

Add a dedicated competitive intel page or FAQ entry listing specific data sources monitored (e.g., LinkedIn job posts, pricing page changes, Meta Ad Library, G2 reviews) and their respective refresh frequencies (real-time, daily, weekly).

Where we looked: espressio.ai, espressio.ai

confidence high · grounding synthesized · weight 0.00 · Vague

14Your homepage says 'automated in days' — for a team with existing Salesforce data, what's the realistic implementation timeline from contract to first automated campaign?getting-startedHedges+2 pts est.

Your homepage says 'automated in days' — for a team with existing Salesforce data, what's the realistic implementation timeline from contract to first automated campaign?

What the pages say

Espressio.AI states that 'most systems are live within 2 to 4 weeks from our first call' with a specific breakdown: Week 1 is strategy and workshop, Weeks 2-3 are build and deploy, and Week 4 is optimization and expansion. However, the site does not specifically address whether this timeline changes for teams with existing Salesforce data, or what the realistic timeline is from contract signing (as opposed to 'first call') to first automated campaign.

The fix

Add a dedicated implementation timeline page that clarifies: (1) whether the 2-4 week timeline starts from contract or first call, (2) how existing CRM data (Salesforce, HubSpot) affects onboarding duration, and (3) realistic 'first automated campaign' dates for data-migration scenarios vs. greenfield setups.

Where we looked: /faq, /contact, espressio.ai

confidence medium · grounding synthesized · weight 0.65 · Vague

15We're in healthcare-adjacent marketing — how long do you store our lead interaction data after we delete a campaign, and can we force immediate purging for compliance?technicalHedges+2 pts est.

We're in healthcare-adjacent marketing — how long do you store our lead interaction data after we delete a campaign, and can we force immediate purging for compliance?

What the pages say

The privacy policy states that Espressio retains personal data 'only for as long as necessary to fulfil the purposes for which it was collected' and may be required to retain data longer for 'tax, accounting, or regulatory requirements,' with secure deletion or anonymization when no longer needed. Users can request erasure under GDPR rights. However, the site does not specify exact retention periods after campaign deletion, nor does it document a self-service 'immediate purging' feature for compliance purposes.

The fix

Add specific retention periods for lead interaction data (e.g., '30 days after campaign deletion unless legally required otherwise') and document whether customers can force immediate purging through the UI or API, or if this requires a support ticket.

Where we looked: /privacy-policy, /privacy-policy

confidence medium · grounding synthesized · weight 0.65 · Vague

Protocol plumbing · 56/1009 of 16 checks pass · each fix +6 protocol pts est.

The other half of the score: 16 checks for the files and headers agents look for. The 7 below are installs, not judgment calls, and most are an afternoon. Expand any for the snippet and the standard it follows. They sit after the queue because none of them changes what your pages say.

llms.txtDiscoverability+6 pts est.

Sitedex generates this file from your crawl. Grab it in Files from this audit below.

Standardllmstxt.orgCommunity spec

Content signalAccess+6 pts est.
Install snippet
User-agent: *
Content-Signal: search=yes, ai-input=yes, ai-train=no
Allow: /

StandardCloudflare proposalVendor proposal

Clean crawlAccess+6 pts est.

StandardSitedex metricSitedex metric

Markdown negotiationRendering+6 pts est.

StandardRFC 9110 + 7763IETF RFC

MCP cardInteraction+6 pts est.

Sitedex generates this file from your crawl. Grab it in Files from this audit below.

StandardModel Context ProtocolCommunity spec

OpenAPI specInteraction+6 pts est.

StandardOpenAPI SpecIndustry standard

WebMCP widgetInteraction+6 pts est.

Sitedex generates this file from your crawl. Grab it in Files from this audit below.

StandardW3C WebMCP draftW3C / WHATWG

Already passing 9 of 16: robots.txt, sitemap.xml, AI crawler access, Server-rendered content, Canonical URLs, Meta descriptions, HTML lang attribute, Organization schema, Sitemap lastmod.

Ask this site’s index

Sitedex already serves espressio.ai as an MCP endpoint. Ask espressio.ai anything an AI agent might ask, and see what its index returns. (To score your own site, use the form below.)

Snippets & configs

For developers and the engineer-on-call: copy these into your tools or your site.

Files from this audit

Built from this crawl. Download or copy each, then install it at the path noted.

llms.txt

Built from this crawl. Install at /llms.txt so agents start here.

organization.json

Organization JSON-LD, pre-filled from this crawl. Wrap in a ld+json script.

server-card.json

MCP server card built from this crawl. Host at /.well-known/mcp/server-card.json.

webmcp.json

WebMCP discovery manifest built from this crawl. Host at /.well-known/webmcp.json.

MCP endpoint

https://mcp.sitedex.dev/s/espressio-ai/mcp

The URL anyone's agent points at. Read-only; safe to share.

Claude Code

claude mcp add espressio --transport http https://mcp.sitedex.dev/s/espressio-ai/mcp

One command, then the agent has it.

Cursor / Continue

{
  "mcpServers": {
    "espressio": {
      "url": "https://mcp.sitedex.dev/s/espressio-ai/mcp"
    }
  }
}

Drop into mcp.json.

WebMCP: two parts

WebMCP-capable browsers run the widget at runtime. Crawlers without JS rendering need the discovery manifest to find your tool surface. Install both.

1 · Widget script

<script async src="https://sitedex.dev/widget.js"></script>

Drop in <head>. WebMCP-capable browsers (Chrome 146+ Origin Trial) call navigator.modelContext.provideContext() via this script.

2 · Discovery manifest

{
  "$schema": "https://wellknownmcp.org/schemas/webmcp.json",
  "name": "espressio.ai",
  "tools": [
    { "name": "search", "description": "Search espressio.ai's indexed content." },
    { "name": "get_page", "description": "Fetch a page from espressio.ai as markdown." }
  ]
}

Host alongside the script at /.well-known/webmcp.json. Crawlers that don't render JS rely on this.

Your turn

See which of these questions your site goes silent on.

Free, about 5 minutes. We crawl your site, test it against the buyer questions your category asks, and name what’s vague, contradictory, or missing, plus the files AI agents look for.

ComingEmbeddable grade badgeScore history and deltasOpt-in public board