` or `[rel=\"author\"]`) AND a `` tag.","weight":0.1,"category":"authority","severity":"absent"},{"key":"date-markup","label":"Publish + update date markup","score":0,"detail":"No structured publish date. Freshness ranking can't be applied.","remedy":"Add `` for published date AND a `` for updates.","weight":0.09,"category":"authority","severity":"absent"},{"key":"freshness","label":"Content freshness","score":0,"detail":"No parseable date — engines treat undated content as stale.","remedy":"Add a parseable date — `` or ``.","weight":0.13,"category":"authority","severity":"absent"},{"key":"technical-terms","label":"Technical / domain vocabulary","score":1,"detail":"5 multi-syllable words (~29.4% of total).","remedy":null,"weight":0.14,"category":"authority","severity":"ok"},{"key":"direct-answer","label":"Direct answer in the lead","score":0.5,"detail":"1 of 2 query terms appear in the first paragraph.","remedy":"Open the page with a direct, complete answer to the buyer query — engines extract their citation snippet from the lead paragraph.","weight":0.18,"category":"content","severity":"weak"},{"key":"query-coverage","label":"Query-term coverage","score":1,"detail":"100% of query terms appear somewhere on the page.","remedy":null,"weight":0.15,"category":"content","severity":"ok"},{"key":"entity-coverage","label":"Named-entity coverage","score":0.3,"detail":"3 distinct proper-noun entities mentioned.","remedy":"Mention the named entities (people, products, organisations, places) the buyer query implies. Entity coverage feeds knowledge-graph retrieval.","weight":0.14,"category":"content","severity":"weak"},{"key":"readability","label":"Readability (Flesch Reading Ease)","score":0.2,"detail":"Reading-ease score: 21.9 (target 60-70).","remedy":"Page reads too academic — shorter sentences and simpler vocabulary lift citation rate by ~12% (GEO §4.3).","weight":0.11,"category":"content","severity":"absent"},{"key":"length","label":"Content depth","score":0,"detail":"17 words. Target 300-2500 — engines bias toward focused depth.","remedy":"Page is too short. Expand to at least 500 words covering the query in depth.","weight":0.1,"category":"content","severity":"absent"},{"key":"info-density","label":"Information density","score":0.3,"detail":"Unique-word ratio: 88.2% (target 40-60%).","remedy":"Vocabulary varies too wildly — content may lack topical focus. Engines prefer focused pages.","weight":0.1,"category":"content","severity":"weak"},{"key":"definitions","label":"Definitional sentences","score":0,"detail":"0 definitional sentences.","remedy":"Include definitional sentences (\"X is...\", \"X refers to...\"). Engines specifically extract definitions for AI Overview snippets.","weight":0.1,"category":"content","severity":"absent"},{"key":"https","label":"HTTPS","score":1,"detail":"Page served over HTTPS.","remedy":null,"weight":0.25,"category":"trust","severity":"ok"},{"key":"canonical","label":"Canonical URL","score":0,"detail":"No canonical link element.","remedy":"Add ``. Engines use it to de-duplicate competing URLs for the same content.","weight":0.15,"category":"trust","severity":"weak"},{"key":"viewport","label":"Mobile-friendly viewport","score":1,"detail":"Viewport meta tag present.","remedy":null,"weight":0.15,"category":"trust","severity":"ok"},{"key":"twitter-card","label":"Twitter Card","score":0.3,"detail":"No Twitter Card — secondary signal but easy to add.","remedy":"Add `` and the matching title/description/image.","weight":0.1,"category":"trust","severity":"weak"},{"key":"meta-description","label":"Meta description","score":0,"detail":"No meta description.","remedy":"Add a `` summarising the page in 120-160 characters.","weight":0.35,"category":"trust","severity":"weak"}],"summary":{"ok":7,"weak":7,"total":30,"absent":16},"categories":[{"score":27,"signals":[{"key":"json-ld-presence","label":"JSON-LD structured data","score":0,"detail":"No JSON-LD blocks found. Answer engines key off schema.org markup to ground citations.","remedy":"Add at least one schema.org JSON-LD block — Article, Product, FAQPage, or HowTo are the highest-lift types.","weight":0.13,"category":"structure","severity":"absent"},{"key":"json-ld-validity","label":"JSON-LD validity","score":1,"detail":"No JSON-LD blocks to validate (the presence signal covers that).","remedy":null,"weight":0.1,"category":"structure","severity":"ok"},{"key":"json-ld-relevance","label":"Schema type matches query intent","score":0,"detail":"No schema types — for a informational query, add one of: Article, BlogPosting, FAQPage, HowTo.","remedy":"Add a Article JSON-LD block — the highest-leverage schema type for a \"example domain\" query.","weight":0.12,"category":"structure","severity":"absent"},{"key":"faq-schema","label":"FAQ / Q&A schema","score":0,"detail":"No FAQPage / QAPage schema — AI Overviews preferentially cite pages exposing structured Q&A.","remedy":"Add a FAQPage schema with 3-5 questions buyers actually ask. The single most direct path to AI Overview citation.","weight":0.1,"category":"structure","severity":"absent"},{"key":"h1-quality","label":"H1 quality","score":0.6,"detail":"H1: \"Example Domain\" (14 chars).","remedy":"Adjust H1 length to 20-80 chars — shorter than 20 lacks context, longer than 80 loses retrieval focus.","weight":0.1,"category":"structure","severity":"weak"},{"key":"h2-coverage","label":"H2 subtopic coverage","score":0,"detail":"0 H2 headings — answer engines decompose a buyer query into subtopics and match each to an H2.","remedy":"Break the page into at least 4 H2 sections, each answering one aspect of the buyer query. Engines surface specific H2s as citations.","weight":0.09,"category":"structure","severity":"absent"},{"key":"lists","label":"Lists (bulleted / numbered)","score":0,"detail":"No lists — AI engines preferentially cite list items because they pack into answer summaries cleanly.","remedy":"Add 2-3 bulleted lists summarising key points. They're the single most-cited structural element in AI summaries.","weight":0.08,"category":"structure","severity":"absent"},{"key":"tables","label":"Comparison tables","score":0.5,"detail":"No tables. Comparison / specification tables are heavily cited for product and technical queries.","remedy":null,"weight":0.07,"category":"structure","severity":"ok"},{"key":"alt-text","label":"Image alt-text coverage","score":1,"detail":"No images — alt-text coverage trivially complete.","remedy":null,"weight":0.05,"category":"structure","severity":"ok"},{"key":"open-graph","label":"Open Graph metadata","score":0,"detail":"Open Graph: title ✗, desc ✗, image ✗.","remedy":"Add og:title, og:description, og:image meta tags. AI engines use OG for the cited preview card.","weight":0.06,"category":"structure","severity":"absent"}],"category":"structure"},{"score":14,"signals":[{"key":"outbound-authority-links","label":"Outbound links to authoritative sources","score":0,"detail":"0 links to authoritative domains (.edu, .gov, named sources).","remedy":"Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.","weight":0.16,"category":"authority","severity":"absent"},{"key":"citation-density","label":"Inline citations and attributions","score":0,"detail":"0 bracketed citations + 0 attribution phrases (per 200 words: 0%).","remedy":"Add inline citations ([1], [2]) or attribution phrases (\"according to X\"). GEO factor #1 for credibility-weighted citation.","weight":0.14,"category":"authority","severity":"absent"},{"key":"statistic-density","label":"Statistic density","score":0,"detail":"0 numerical facts (~0 per 100 words).","remedy":"Add concrete statistics with sources. AI engines preferentially cite paragraphs containing numbers — a GEO paper §4.1 finding.","weight":0.13,"category":"authority","severity":"absent"},{"key":"quotations","label":"Expert quotations","score":0,"detail":"0 blockquotes + 0 long inline quotes.","remedy":"Include at least one direct quote from a named expert, ideally in a

. Quote-rich pages are 28% more likely to be cited (GEO paper).","weight":0.11,"category":"authority","severity":"absent"},{"key":"author-byline","label":"Author byline","score":0,"detail":"No author byline. E-E-A-T penalises anonymous content.","remedy":"Add a visible author byline (a `
` or `[rel=\"author\"]`) AND a `` tag.","weight":0.1,"category":"authority","severity":"absent"},{"key":"date-markup","label":"Publish + update date markup","score":0,"detail":"No structured publish date. Freshness ranking can't be applied.","remedy":"Add `` for published date AND a `` for updates.","weight":0.09,"category":"authority","severity":"absent"},{"key":"freshness","label":"Content freshness","score":0,"detail":"No parseable date — engines treat undated content as stale.","remedy":"Add a parseable date — `` or ``.","weight":0.13,"category":"authority","severity":"absent"},{"key":"technical-terms","label":"Technical / domain vocabulary","score":1,"detail":"5 multi-syllable words (~29.4% of total).","remedy":null,"weight":0.14,"category":"authority","severity":"ok"}],"category":"authority"},{"score":38,"signals":[{"key":"direct-answer","label":"Direct answer in the lead","score":0.5,"detail":"1 of 2 query terms appear in the first paragraph.","remedy":"Open the page with a direct, complete answer to the buyer query — engines extract their citation snippet from the lead paragraph.","weight":0.18,"category":"content","severity":"weak"},{"key":"query-coverage","label":"Query-term coverage","score":1,"detail":"100% of query terms appear somewhere on the page.","remedy":null,"weight":0.15,"category":"content","severity":"ok"},{"key":"entity-coverage","label":"Named-entity coverage","score":0.3,"detail":"3 distinct proper-noun entities mentioned.","remedy":"Mention the named entities (people, products, organisations, places) the buyer query implies. Entity coverage feeds knowledge-graph retrieval.","weight":0.14,"category":"content","severity":"weak"},{"key":"readability","label":"Readability (Flesch Reading Ease)","score":0.2,"detail":"Reading-ease score: 21.9 (target 60-70).","remedy":"Page reads too academic — shorter sentences and simpler vocabulary lift citation rate by ~12% (GEO §4.3).","weight":0.11,"category":"content","severity":"absent"},{"key":"length","label":"Content depth","score":0,"detail":"17 words. Target 300-2500 — engines bias toward focused depth.","remedy":"Page is too short. Expand to at least 500 words covering the query in depth.","weight":0.1,"category":"content","severity":"absent"},{"key":"info-density","label":"Information density","score":0.3,"detail":"Unique-word ratio: 88.2% (target 40-60%).","remedy":"Vocabulary varies too wildly — content may lack topical focus. Engines prefer focused pages.","weight":0.1,"category":"content","severity":"weak"},{"key":"definitions","label":"Definitional sentences","score":0,"detail":"0 definitional sentences.","remedy":"Include definitional sentences (\"X is...\", \"X refers to...\"). Engines specifically extract definitions for AI Overview snippets.","weight":0.1,"category":"content","severity":"absent"}],"category":"content"},{"score":43,"signals":[{"key":"https","label":"HTTPS","score":1,"detail":"Page served over HTTPS.","remedy":null,"weight":0.25,"category":"trust","severity":"ok"},{"key":"canonical","label":"Canonical URL","score":0,"detail":"No canonical link element.","remedy":"Add ``. Engines use it to de-duplicate competing URLs for the same content.","weight":0.15,"category":"trust","severity":"weak"},{"key":"viewport","label":"Mobile-friendly viewport","score":1,"detail":"Viewport meta tag present.","remedy":null,"weight":0.15,"category":"trust","severity":"ok"},{"key":"twitter-card","label":"Twitter Card","score":0.3,"detail":"No Twitter Card — secondary signal but easy to add.","remedy":"Add `` and the matching title/description/image.","weight":0.1,"category":"trust","severity":"weak"},{"key":"meta-description","label":"Meta description","score":0,"detail":"No meta description.","remedy":"Add a `` summarising the page in 120-160 characters.","weight":0.35,"category":"trust","severity":"weak"}],"category":"trust"}]},"diagnostics":{"serp":{"ddg":false,"wikipedia":false},"embeddingsLoaded":false,"competitorsFetched":0},"serpContext":{"query":"example domain","results":[],"degraded":{"ddg":false,"wikipedia":false},"entities":[{"qid":"Q306656","url":"https://en.wikipedia.org/wiki/Example.com","title":"Example.com","description":"The domain names example.com, example.net, example.org, and example.edu are second-level domain names in the Domain Name System of the Internet. They are reserved by the Internet Assigned Numbers Authority (IANA) at the direction of the Internet (IETF) as special-use domain names"},{"qid":"Q29864097","url":"https://en.wikipedia.org/wiki/Example","title":"Example","description":"Example may refer to:Exempli gratia (e.g.), usually read out in English as \"for example\"\n.example, reserved as a domain name that may not be installed as a top-level domain of the Internet\nexample.com, example.net, example.org, and example.edu: second-level domain names reserved "},{"qid":"Q14296","url":"https://en.wikipedia.org/wiki/Top-level_domain","title":"Top-level domain","description":"A top-level domain (TLD) is one of the domains at the highest level in the hierarchical Domain Name System of the Internet after the root domain. The top-level domain names are installed in the root zone of the name space. For all domains in lower levels, it is the last part of t"}]},"semanticVoid":[],"centroidShift":null,"citationVerdict":{"rank":null,"cited":false,"cohort":0,"margin":0},"retrievalRanking":[]}}