Last scanned Jun 25, 2026 · Methodology v4.5 · View Leaderboard →
heb.com scored 32/100 on AI-readiness across 48 parameters measured against ChatGPT, Claude, Perplexity, and Gemini visibility checks. 10 parameters passed, 22 failed, and 10 need improvement. Strongest area: Crawlability & Access. Weakest: Discovery & Metadata. Compared to other food_and_drink.groceries sites, this score is in the 17th percentile.
The friendly4AI AI-readiness scanner has completed a scan of the website heb.com. According to the retrieved scan data, the page title for the site is listed as Pardon Our Interruption. After evaluating the platform, friendly4AI assigned the website an AI-readiness score of 32. This score indicates the site's readiness for AI-related systems and interactions. The friendly4AI tool provides these insights to help the site owner understand their current technical readiness based on our scanning parameters.
10 Pass
22 Fail
10 Needs Improvement
These are derived on-page readiness estimates for each engine's grounding index — not live engine queries.
How easily AI engines can extract and cite this page. Combines freshness, schema, and answer-block placement.
Freshness
Freshness could not be determined. No modification date was found in the page headers, sitemap, or structured data.
Schema / Structured Data
No structured data detected. Schema.org markup raises LLM extraction accuracy from 16% to 54% — a 3.4× lift.
Answer Block
No answer block in the first 200 words. Your first 200 words contain navigation, a {{introWordCount}}-word intro, and a product description. Open with a 40–60 word direct answer.
No answer block detected.
Parameters that determine how well AI crawlers can discover and index your content.
robots.txt accessibilityLearn more | Pass |
HTTP status and reachabilityLearn more | Pass |
Fail | |
Pass | |
AI crawler access controlLearn more | Pass |
Paywall and login gating detectionLearn more | Pass |
Search-bot network reachabilityLearn more | Pass |
sitemap.xml availabilityLearn more | Partial |
Structured Data (schema.org)Learn more | Fail |
Page metadataLearn more | Partial |
URL stabilityLearn more | Fail |
Structured data (schema.org/JSON-LD) coverageLearn more | Fail |
Security headers baselineLearn more | Partial |
Fail | |
Internal link coverageLearn more | Fail |
Content-type schema alignmentLearn more | N/A |
IndexNow push-protocol adoptionLearn more | Fail |
Entity grounding via sameAs linksLearn more | Fail |
Pass | |
Fail | |
Fail | |
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Fail | |
Fail |
Fail | |
Content visibility without JavaScriptLearn more | Partial |
Pass | |
Partial | |
Nosnippet directive detectionLearn more | Pass |
Paragraph length distributionLearn more | Fail |
Section length distributionLearn more | Fail |
Dated statistics ratioLearn more | N/A |
Comparison table presenceLearn more | N/A |
Entity name consistencyLearn more | N/A |
Multimedia coverage and alignmentLearn more | Fail |
AI manifests coverageLearn more | Pass |
Partial | |
UCP manifest availabilityLearn more | N/A |
Fail | |
Core Web Vitals (page experience)Learn more | Partial |
Parameters that influence how AI systems cite and surface your content in answers.
Pass | |
Fail | |
Fail | |
Fail | |
Fail | |
Fail | |
Fail | |
Pass |
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Pass | |
Fail | |
Author authority signalsLearn more | Fail |
Partial | |
Content depthLearn more | Fail |
Citation and evidence densityLearn more | Partial |
Fail | |
Answer-oriented content structureLearn more | Partial |
Answer-first H2 complianceLearn more | Fail |
Chunk extractability (self-contained H2 blocks)Learn more | Fail |
TL;DR / Key Takeaways sectionLearn more | N/A |
Answer block shapeLearn more | Partial |