The fastest way to improve your AEO performance is to know your current baseline. Most teams skip this step and go straight to publishing new content. That is a mistake. The 7 signals below determine citation likelihood across ChatGPT, Perplexity, and Google AI Overviews. Audit these before you write another word.
Signal 1: Current Citation Rate
Search your primary keywords in Perplexity and ChatGPT Search. Note which pages get cited in the responses. If your content does not appear in the first 3 searches on topics you cover, you have an AEO gap. If competitors appear consistently, look at their page format — this is direct signal about what the model trusts for your topic area.
Run 10–15 queries covering your core topics. Track which domains appear. This takes 20 minutes and gives you a competitive citation map.
Signal 2: Answer-First Structure Score
For each of your top pages, check: does the page's core answer appear in the first 150 words? Give each page a yes or no. If fewer than 30% of your top pages answer their core question in the opening block, this is your highest-leverage fix. Restructuring existing content for answer-first format typically takes 30–60 minutes per page and has an immediate impact on citation likelihood.
Signal 3: Factual Density
Count the specific, verifiable claims per 500 words on your top pages. Specific claims include percentages, named studies, precise dates, named organisations, and numerical figures. A page with fewer than 3 specific claims per 500 words is underperforming on this signal. AI engines are trained on vast datasets of factual content — they weight factual density as a quality signal.
The fix is not to fabricate data. It is to add citations to real research, pull statistics from industry reports, and make your existing claims more precise. "Significant improvement" becomes "47% improvement in 90 days." One pass through your content with this lens usually surfaces 10–15 upgrade opportunities.
Signal 4: Schema Coverage
Check how many of your published pages have schema markup. Use Google's Rich Results Test or a schema validator to audit your top 20 pages. Specifically look for: Article schema on blog posts, FAQ schema on Q&A content, HowTo schema on process pages, and Organisation schema on your homepage.
Schema tells AI retrieval systems what each content block represents. Without it, the model has to infer structure from context — and it will choose pages where the structure is explicit over ones where it has to guess. Schema coverage below 50% of your published content is a significant AEO gap.
Signal 5: Entity Recognition
Type your brand name, your founder's name, and your core product into Perplexity. Does the AI have knowledge of who you are? If it returns no results or confuses you with another entity, you have low entity recognition. This is a trust signal that affects citation likelihood across all AI engines.
Entity recognition improves through consistent mentions by credible third-party sources — media coverage, podcast appearances, directory listings, and social profiles. It is a slower-moving signal than format, but a foundational one. Brands with strong entity recognition get cited on queries where they are relevant even without being the #1 search result.
Signal 6: External Citation Profile
AI engines weight domain authority and external citation patterns as trust signals — the same signals that drive traditional SEO rankings, but applied to AI retrieval weighting. Run your domain through a backlink checker. Check your Domain Rating or Domain Authority. Compare it to the domains that are currently getting cited on your target topics.
If your DR is 15 and the cited domains average DR 55, you have a trust gap that no amount of format work fully overcomes. Building this takes time, but the levers are clear: digital PR, guest content on authoritative domains, and getting mentioned in roundup articles on high-DR sites.
Signal 7: Content Freshness
AI engines — particularly Perplexity — weight recency on queries where timeliness matters. Check the published or last-updated dates on your top pages. Content last updated more than 18 months ago loses citation ground to more recently updated pages on the same topic.
The fix is an update pass: review top pages every 6–12 months, update statistics, add new information, and update the publishedAt or last-modified date. A 2-hour update pass on a strong page consistently brings it back into citation rotation.
Running the Audit
Score yourself on each of the 7 signals above. Give each a traffic light: green (strong), amber (needs work), red (significant gap). Prioritise your red signals first — they are disproportionately limiting your citation performance. Then work through amber signals by page priority.
Most teams that run this audit find 2–3 signals they can fix within a week that immediately improve citation performance. The compounding nature of AEO means early movers build a citation advantage that is difficult for slower teams to close. The audit is the starting line.