Optimise Any Article for
AI Search Citations in Minutes

The 12 signals are: FAQPage schema presence and quality, Article schema with datePublished and dateModified, Author E-E-A-T with credentials and sameAs links, direct answer formatting (headings structured as questions), semantic keyword coverage, entity completeness, heading structure matching AI extraction patterns, internal linking density, structured data accuracy, content freshness signals, external citation quality, and mobile content delivery.

Writing quality is necessary but not sufficient. AI engines process structured signals to evaluate content before deciding whether to cite it. The most common reasons well-written articles are not cited: missing FAQPage schema, missing or incomplete Author schema, headings not formatted as direct questions, insufficient semantic keyword coverage, and missing key entity mentions. The AI Article Optimiser identifies exactly which signals are failing on your specific article.

Schema additions like FAQPage and Author JSON-LD take 10 to 15 minutes using the provided code snippets. Heading reformatting to direct-answer format takes 20 to 30 minutes for a typical 2,000-word article. Semantic keyword additions take 15 to 20 minutes. A complete optimisation pass typically takes 1 to 2 hours and moves articles from the 40–50 score range to 75–85+, which is the citation-eligible threshold for most niches.

FAQPage schema is the highest-impact single addition for most article types, increasing AI citation probability by an average of 280–340% for informational content pages. However, it only improves citation rates when the questions and answers are genuinely relevant to the article topic and match real user intent. The optimiser generates intent-based FAQ suggestions specific to your article topic and niche.

Yes. You can run the audit on any publicly accessible URL — including competitor articles. This shows you exactly which signals competitor pages have implemented that you have not, giving you a concrete checklist of what to add to outperform them in AI citation competition.

Yes. Fully available on the free plan with 15 runs per month. Every run provides the complete 12-signal audit, full priority-ranked fix list, ready-to-copy schema code, semantic keyword gap list, and AI readiness score.

The AI Article Optimiser can only audit publicly accessible URLs. For paywalled content, either create a publicly accessible preview version for auditing, or use the manual input option to paste your article text directly. The schema audit components still work on the page's publicly visible code even if the content body is paywalled — making the tool useful for identifying schema gaps on subscription content pages.

Optimising existing articles that already have traffic and some ranking signals is almost always higher ROI than creating new content. A page already ranking in positions 6 to 15 with an AI readiness score below 60 has the highest improvement potential — it already has the authority signals, so fixing the readiness signals can produce rapid citation rate improvement. The AI Article Optimiser's priority ranking shows you which fixes on existing articles have the highest expected citation impact.

For most content teams, optimising 4 to 8 existing articles per month alongside new content creation produces the best compound results. Focus optimisation effort on your top 20 articles by organic traffic first — these have the most to gain from improved AI citation rates. After the top 20 are optimised, expand to articles ranking in positions 6 to 20 with commercial or informational intent. The AI readiness score improvement is typically visible within 3 to 5 weeks of implementing fixes.

The tool generates intent-based FAQ questions specific to your article topic and niche — you do not need to write them from scratch. The generated questions are based on analysis of what users actually ask AI engines about your specific topic, ensuring they match real prompt patterns rather than generic FAQs. You review and refine the generated questions before adding the FAQPage schema, and the tool provides the JSON-LD block with your specific questions pre-populated.