Make Every Page Worth Citing
Content Optimisation scores your pages the way AI engines read them and tells you exactly what to change — structure, entities, questions, evidence — to earn the citation instead of watching a competitor get it.
What is Content Optimisation?
Content Optimisation is AirPulse's page-level workflow for improving AI discoverability. It analyses each page on your site against the criteria AI engines actually use when selecting sources: clear structure, direct answers, named entities, verifiable claims, and machine-readable markup.
Every page gets a citability score and a ranked list of specific, actionable changes — not generic advice like "add more content", but concrete edits: the question your H2 should answer, the entity your intro fails to name, the statistic that needs a source, the FAQ schema that's missing.
Recommendations are tied to the prompts you're trying to win. If Prompt Intelligence shows you losing "best AI visibility platform for B2B SaaS", Content Optimisation shows the exact page changes most likely to earn that citation — so content work maps directly to visibility outcomes.
How Content Optimisation Works
Score every page
AirPulse crawls your pages and scores them for AI citability: answer clarity, structure, entity coverage, evidence density, and structured-data completeness.
Get specific recommendations
Each page receives ranked, concrete edits — headings to rephrase as questions, entities to name, claims to source, schema to add — prioritised by expected visibility lift.
Verify the impact
After you ship changes, prompt tracking shows whether the engines picked them up — closing the loop between content work and AI visibility movement.
What You Can Do With It
Page-by-page citability scoring
A consistent 0–100 score per page so content teams can triage the fixes with the highest expected return instead of guessing.
Prompt-linked recommendations
Optimisations target the specific buyer questions you want to win, connecting every edit to a measurable prompt outcome.
Structure and entity guidance
Question-led headings, direct answers up top, named entities, and schema recommendations — the format AI retrieval favours.
Before/after verification
Re-scores and prompt re-runs confirm whether shipped changes actually moved citations, share of voice, and your AI Visibility Score.
Content Work That Shows Up in Answers
Frequently Asked Questions
What does Content Optimisation actually check?
Each page is scored on answer clarity, structure (question-led headings, direct answers), named-entity coverage, evidence and sourcing, and structured-data completeness — the criteria AI engines weigh when choosing sources to cite.
How is this different from traditional on-page SEO tools?
Traditional tools optimise for ranking signals like keyword density and backlinks. Content Optimisation optimises for citability — whether an AI engine can extract, trust, and attribute your content when synthesizing an answer.
Do the recommendations require a developer?
Most recommendations are copy and structure changes a content team can ship directly. Schema/markup recommendations come with ready-to-add JSON-LD so developer time is minimal.
How do I know the changes worked?
AirPulse re-scores updated pages and re-runs the prompts each page targets, so you can see citations, share of voice, and AI Visibility Score movement attributable to the change.
Does it work with content produced by my existing tools?
Yes. Content Optimisation analyses your live pages regardless of CMS or authoring workflow, and its recommendations slot into whatever editorial process you already run.
See Content Optimisation in Action
Book a personalised demo and see exactly how AI engines currently perceive your brand — and what you can do about it.