Technical + Organic Foundation
How effectively the site supports crawling, indexation, internal discovery, technical consistency, and organic visibility.
Get a comprehensive report powered by AI. Measure technical SEO and on-site AI-search readiness signals, then get evidence-based recommendations. This does not directly measure rankings or AI citations.
This audit evaluates observable website and technical signals that can influence search discoverability, machine understanding, crawlability, content extraction, entity clarity, and citation readiness.
It does not claim to directly measure whether ChatGPT, Gemini, Claude, Perplexity, or Google will rank, cite, or recommend your brand.
AI platforms do not expose a universal ranking score. A defensible audit should separate measurable technical evidence from heuristics and recommendations.
Crawlability, indexation signals, canonicals, redirects, response codes, page architecture, robots directives, sitemaps, and rendering risks. Use the 2026 Technical SEO Checklist to work through the fixes in order.
Answer structure, entity clarity, content extraction, machine-readable relationships, crawler accessibility, and citation-oriented page structure. Compare the findings with AI Visibility Optimization and the GEO guide.
Organization, LocalBusiness, Article, Service, Person, FAQ, Breadcrumb, Product, and other relevant schema where applicable. See the Schema Markup for AI Search guide for implementation patterns.
Heading structure, direct answers, topic depth, intent alignment, FAQs, duplication risks, internal links, and evidence signals. Use intent mapping and topic clusters to turn those findings into a content architecture.
On-site location clarity, NAP consistency, service areas, LocalBusiness data, location content, and geographic relevance. For local or multi-location businesses, pair this with Local SEO and the Local SEO in the AI Era guide.
Core Web Vitals inputs, mobile usability, page-weight issues, render-blocking resources, and experience problems that can weaken search performance.
The useful part of an audit is not the number by itself. Each category should lead back to observable evidence and a specific remediation priority.
How effectively the site supports crawling, indexation, internal discovery, technical consistency, and organic visibility.
A diagnostic proxy for how clearly pages present entities, answers, evidence, and machine-readable relationships.
Site architecture, status codes, canonicals, robots directives, rendering, sitemaps, performance, and accessibility.
Intent alignment, topical coverage, direct answers, headings, evidence, internal links, FAQs, and content quality.
Location clarity, service areas, local schema, location-page quality, geographic relevance, and consistent business information.
How consistently the site explains the organization, people, services, locations, offers, expertise, and external identity relationships. The Entity SEO guide explains how to strengthen these machine-readable relationships.
A plain-English explanation of the most important findings, what is working, and what is limiting visibility.
Designed for fast prioritization.Findings grouped by severity and likely impact so you know what deserves attention first.
Critical → High → Medium → Ongoing.Recommendations should connect back to measured page, technical, structured-data, or content evidence whenever possible.
Less generic advice. More context.Suggestions for entity clarity, answer structure, schema, content depth, internal linking, and citation-oriented page design.
Clearly separated from direct platform-ranking claims.Technical SEO, crawlability, indexation, page architecture, mobile, and performance opportunities.
Actionable technical remediation.Where competitor URLs are supplied, the report can use them as context for content, technical, and positioning gaps.
Not a substitute for full competitive intelligence.| Priority | Examples | What to do |
|---|---|---|
| Critical | Blocked crawl access, major 5xx errors, widespread noindex, broken canonicalization | Fix first because visibility or retrieval may be broadly compromised. |
| High | Weak site architecture, severe performance problems, conflicting schema, thin priority pages | Move into the current remediation sprint. |
| Medium | Missing supporting schema, weak FAQs, internal-link gaps, underdeveloped entity content | Address after technical blockers and highest-value page issues. |
| Strategic | Topic-cluster expansion, case studies, original research, authority building, digital PR, and E-E-A-T improvements | Build into the ongoing SEO + AI visibility roadmap. |
A useful audit should not end with a score. Each category should point to a specific workstream, a measurable outcome, and the next resource needed to implement the fix.
| If the audit finds... | What it usually means | Best next step |
|---|---|---|
| Technical crawl or indexation issues | Search and AI retrieval systems may not reliably access or interpret priority URLs. | Work through the Technical SEO Checklist |
| Weak entity clarity | The organization, people, services, locations, and external profiles are not consistently connected. | Strengthen the machine-readable entity |
| Thin or unclear content | Pages may not satisfy a distinct user intent or provide enough evidence to stand alone as a useful answer. | Build an intent-led content strategy |
| Weak topical coverage | The site may have isolated pages instead of a connected body of expertise around the topic. | Build a topic cluster |
| Schema gaps or conflicts | Important entities and page relationships may be harder for machines to interpret consistently. | Implement and validate structured data |
| Weak trust or authority evidence | The site may lack authorship, credentials, reviews, citations, original evidence, or third-party corroboration. | Strengthen E-E-A-T and external validation |
| Weak local signals | Search engines and AI systems may not have enough evidence connecting the business to its markets and service areas. | Improve local search visibility |
| Low AI-search readiness | Pages may be discoverable but difficult to extract, verify, or use confidently in generated answers. | Build the AI Visibility layer |
When the audit integration supports a read-only Google connection, first-party data can replace assumptions with actual search queries, landing-page performance, traffic, engagement, and conversion evidence.
Queries, impressions, clicks, CTR, indexed performance, landing pages, and search visibility trends.
Traffic sources, engagement, landing-page behavior, events, conversions, and measurable business outcomes.
Combine site evidence with actual performance data to prioritize pages that have both visibility opportunity and business value.
Different businesses can receive similar audit findings but need different next actions. Use the business goal—not the score alone—to prioritize the roadmap.
Prioritize crawlability, indexation, technical health, search intent, content gaps, internal linking, and authority.
Read the Organic Traffic Guide →Prioritize entity clarity, category relevance, authoritative third-party evidence, citation-ready content, and prompt coverage.
Diagnose the Recommendation Gap →Improve source-worthy content, direct answers, evidence, author/entity signals, accessibility, and external authority.
Learn How to Earn ChatGPT Citations →Build repeatable prompt sets, citation tracking, competitor share, brand accuracy, referrals, branded demand, and conversion reporting.
Build the Measurement Framework →Work through crawlability, indexation, performance, schema, mobile, and rendering issues.
Open the checklist →Build a prompt, citation, competitor, referral, and business-outcome measurement system.
Read the measurement guide →Diagnose entity clarity, topical authority, third-party evidence, and recommendation gaps.
Read the diagnostic guide →Clarify the organization, services, people, locations, and external profiles machines use to identify the brand.
Build a Machine-Readable Brand →Use structured data to reinforce page types, entities, authorship, services, locations, and relationships.
Open the Schema Guide →Understand which audit findings belong to the shared SEO foundation and which require AI-specific measurement.
Compare the Two Strategies →Use the free audit as a starting point, then connect the findings to technical SEO, content strategy, entity optimization, structured data, local visibility, and AI citation measurement.