Most “SEO audit” prompts return a generic checklist that anyone could Google. These target the real content-site failure modes — duplicate titles, orphan pages, hreflang mismatches, thin pages, cannibalization — with measurable thresholds and a fix per finding.
Best for
- Pre-launch site QA
- Quarterly content refresh
- Bilingual / multi-locale sites
- Post-migration sanity check
- Programmatic SEO QA
1. Metadata audit
Below are 50 article slugs with title and meta description. Identify, with the exact slug for each: (a) titles >60 chars (will truncate), (b) titles <30 chars (probably weak), (c) descriptions >160 or <120 chars, (d) duplicate or near-duplicate titles, (e) titles missing the primary keyword, (f) clickbait or all-caps. Output a fix-needed table with current → suggested.
Data:
{paste}2. Internal-link audit
Below is an article list with slug, H2 headings, and tags. For each article: (a) suggest 3 outbound internal links to other articles in the list with the anchor text to use, (b) flag the article as an orphan if it has zero inbound links from the list, (c) flag any article with >40 inbound links as a hub that needs pruning. Output as a table.
Articles:
{paste}3. Hreflang & translation-pair audit
Below is a list of en and zh slugs with their translationKey. Identify: (a) translationKeys that exist in only one language, (b) pairs where the slugs are very different (suggest the correct match), (c) typoed or near-duplicate translationKeys that probably should be unified, (d) hreflang tags that point to a 404 or a redirect. Output an action list grouped by severity.
Data:
{paste}4. Thin-content detector with thresholds
Below are slugs with word count, number of H2s, number of internal links, and last-updated date. Flag thin content using this rule: word count <600 AND H2 count ≤2 AND internal links ≤1 AND not updated in 6 months. For each flagged slug recommend one action: expand (worth saving), merge into {target slug} (cite the best merge target), noindex, or delete with 301. Justify each call.
Data:
{paste}5. Title-uniqueness & cannibalization check
Below is a list of article titles with their primary target keyword. Identify: (a) near-duplicate titles (>70% token overlap), (b) different titles targeting the same primary keyword (cannibalization), (c) titles where the primary keyword isn't in the title. For each conflict pair, recommend: which to keep, which to merge or de-target, and the new title for the survivor.
Titles + keywords:
{paste}6. Canonical & duplication audit
Below are URL patterns with their canonical tags and any redirects. Identify: (a) pages missing a self-referencing canonical, (b) multiple pages canonicalizing to the same target (consolidation candidate), (c) trailing-slash inconsistency between canonical and rendered URL, (d) cross-language canonical pointing to the wrong language, (e) canonical → redirect → final URL chains. Fix per finding.
Data:
{paste}7. Structured-data / JSON-LD audit
Below is the JSON-LD for an article. Audit: (a) required fields for the chosen schema.org type are present and non-empty, (b) datatypes match spec (Date in ISO 8601, Person/Organization for author), (c) recommended fields that would unlock rich results are missing (e.g., FAQPage, BreadcrumbList, image dimensions), (d) the chosen type fits the page (Article vs BlogPosting vs HowTo). Output fix-needed JSON.
JSON-LD:
{paste}8. Sitemap & crawl-budget audit
Below is the sitemap.xml (or a list of URLs). Identify: (a) URLs in sitemap that return non-200, (b) URLs in sitemap that are noindex'd or canonicalized elsewhere (waste), (c) parameterized URLs that should be excluded, (d) missing high-priority pages, (e) lastmod dates that look stale or wrong. Output a sitemap cleanup diff.
Sitemap:
{paste}9. Heading hierarchy & content structure audit
Below is the heading outline (H1-H4) for 10 articles. For each article, flag: (a) multiple H1s, (b) H2 immediately followed by H4 (skipped level), (c) more than 8 H2s without H3s under them (probably should restructure), (d) headings that are sentences rather than scannable phrases. Recommend a corrected outline per flagged article.
Outlines:
{paste}10. Search-intent vs page-format mismatch
Below are pages with their target keyword and current page format (list / how-to / comparison / definition / commercial). Determine the dominant intent for each keyword (informational, commercial, transactional, navigational) and flag mismatches — e.g., a commercial keyword pointed at a thin definition page. Recommend the right format for each mismatch.
Pages + keywords:
{paste}11. Core Web Vitals & content-page perf audit
Below are Lighthouse / CrUX numbers for 10 article pages: LCP, INP, CLS. Identify: (a) which fail Google's thresholds (LCP >2.5s, INP >200ms, CLS >0.1), (b) the likely root cause given that these are content pages (heavy hero image, JS-injected ads, layout-shifting embeds, render-blocking fonts), (c) the cheapest fix per page. Sort by traffic so the high-impact fixes come first.
Data:
{paste}12. Keyword-cluster overlap & consolidation plan
Below are 20 articles with their primary keyword and top 5 ranking keywords from Search Console. Identify clusters where 2+ articles rank for the same query (cannibalization), and clusters where one article ranks for what should be split into two. For each cluster, recommend: merge (cite which slug wins), split (give the new outlines), or keep separate with a clearer differentiator.
Data:
{paste}Common mistakes
- “Do an SEO audit” with no data and no measurable threshold
- Findings without an action — “your meta description is too short” with no fix
- Auditing meta tags but ignoring the actual content quality
- Treating every thin page as “expand” — sometimes the right move is merge or delete
- Skipping the bilingual hreflang and translationKey integrity check
Related
Tags: #Prompt #AI coding #SEO audit #SEO