Use rendered screenshots, summary, metadata, quality signals, and visual comparisons as inputs. Add accessibility, performance, crawl, security, and link tools separately instead of pretending one AI endpoint audits everything.
POST /api/v3/analyzeSNAPSHOT_SITE_API_KEY
AI website auditing is an orchestration pattern. Snapshot Site covers browser-rendered evidence, fixed page analysis, and visual comparison. A complete audit also needs deterministic accessibility, performance, links, directives, security, and business-specific checks.
Define pages, templates, environments, devices, and acceptance criteria before collecting data.
Keep screenshots, diff artifacts, raw validator output, timestamps, and request settings.
Use AI to summarize and cluster verified findings, not to fabricate missing measurements.
Assign each finding to a team, severity policy, due date, and retest procedure.
Define scope and evidence requirements
Collect rendered, crawler, performance, accessibility, and link data
Generate a bounded synthesis referencing the evidence
Review, assign, remediate, and rerun the same checks
Use a trusted backend, validate the response, and preserve evidence before downstream processing.
curl --request POST \
--url https://api.prod.ss.snapshot-site.com/api/v3/analyze \
--header 'Content-Type: application/json' \
--header 'x-snapshotsiteapi-key: YOUR_API_KEY' \
--data '{
"url": "https://example.com",
"width": 1440,
"fullSize": true,
"waitForDom": true,
"enableSummary": true,
"enableQuality": true
}'
AI website auditing is an orchestration pattern. Snapshot Site covers browser-rendered evidence, fixed page analysis, and visual comparison. A complete audit also needs deterministic accessibility, performance, links, directives, security, and business-specific checks.
A website audit is defensible when each finding names its evidence source and responsible specialist check. Use AI to organize the review, not to collapse SEO, accessibility, security, and performance into one opaque score.
Define pages, templates, environments, devices, and acceptance criteria before collecting data.
Keep screenshots, diff artifacts, raw validator output, timestamps, and request settings.
Use AI to summarize and cluster verified findings, not to fabricate missing measurements.
Assign each finding to a team, severity policy, due date, and retest procedure.
Bundle the audit scope, page sample, capture specification, structured responses, crawler and lab exports, finding owner, severity rationale, and verification result. This keeps remediation tied to observable facts.
Snapshot Site is one component of an audit. It does not replace axe, Lighthouse or field performance data, a crawler, security testing, legal review, or business-specific acceptance criteria.
Generated audit prose may surface patterns, but it cannot certify accessibility, security, legal compliance, or ranking outcomes. Specialist tools and qualified reviewers retain those decisions.
Define an authorized scope before crawling or rendering, keep audit credentials isolated, and protect reports that expose routes, technologies, or customer information. Delete evidence according to the engagement policy.
Combine AI SEO analysis, AI accessibility analysis, AI DOM analysis, and the API documentation rather than relying on one score.
It contributes rendered screenshots, fixed analysis fields, and visual comparison artifacts that can be preserved beside other audit evidence.
No. Site discovery, deterministic tests, representative states, current external data, and human interpretation are all required.
Reference the URL, state, capture time, viewport, raw check, screenshot or diff, and the rule that produced the finding.
High-risk checks can run on releases or schedules, but frequency should match change rate, cost, owner capacity, and the consequence of missing an issue.
Build an AI-assisted website audit from screenshots, page analysis, visual comparison, and specialist validators while preserving evidence and human review.
Use screenshot for browser-rendered assets, analyze for the documented summary and quality response, and compare for before-and-after visual evidence. Add external tools for requirements outside those contracts.
Yes, through an external scheduler such as cron, CI, serverless scheduling, or an automation platform. Snapshot Site does not claim a native scheduler.
Keep source, request settings, timestamp, raw response, screenshot or diff, and the owner decision together. Do not act automatically on consequential AI output.
Start with a small authorized page set, preserve every input and artifact, and verify the review process before adding volume.