01.Why AI Search Skips The Small Talk
Old search engines acted like calculators: mention “commercial refrigeration repairs” six times in 800 words, and you got a gold star.
AI engines don't count words; they connect dots.
When an LLM scans your page, it strips out the filler to find hard relationships:
The Catch? Placement Matters.
Language models suffer from short attention spans. During chunk retrieval, models heavily favour facts placed right at the top. If an engine can't verify who you are, what you specialise in, and where you operate within the first two paragraphs, it skips your site and cites a competitor with cleaner data.
02.The 5 Facts Every Commercial Page Needs
Before touching code or schema, make sure your page explicitly nails these five anchors:
| Anchor | What Models Look For | Example (AEObility About Page) | Matching Schema Property |
|---|---|---|---|
| 1. Legal Business Name | No clever nicknames: use the real registered commercial name. | AEObility | Organization.legalName |
| 2. Founder or Specialist | Tie a real human name to the brand for E-E-A-T and authority. | Vince Baker | Person.name / founder |
| 3. Founding Year | Tell models how long you've existed so they don't guess. | Established 2026 | foundingDate |
| 4. Core Service Domain | State your exact specialty without generic agency jargon. | Answer Engine Optimisation | knowsAbout / Service |
| 5. Geographic Base | Specify city and state so models don't confuse you with namesakes abroad. | Perth, Western Australia | PostalAddress / location |
03.The 5-Minute Audit Workflow
Grab the AEObility Diagnostic Template and follow this quick checklist:
Select whether you are auditing a Homepage, Service Page, or Location Hub in the template sheet to load matching entity targets.
Copy your H1 headline, immediate subheaders, and the first 150–200 words from your live website.
Drop the extracted text directly into cell A5 of the diagnostic tab.
The sheet automatically evaluates whether your 5 core entity anchors are detected (MATCH) or missing (MISSING).
Swap vague agency buzzwords for concrete entity statements until cell E5 ticks into the green.
04.What This Looks Like in Practice
Here is how a real-world agency opening passage transforms when re-engineered for machine legibility:
“We are a premier digital marketing agency passionate about helping businesses grow online. Our expert team delivers world-class results for modern brands.”
“AEObility is an Answer Engine Optimisation (AEO) consultancy founded by Vince Baker in Perth, Western Australia. We specialise in generative engine optimisation (GEO), helping enterprise brands establish canonical entity density across ChatGPT, Perplexity, and Google AI Overviews.”
05.Back It Up in Your Schema
On-page text is only step one. Structured JSON-LD schema is the proof.
If your JSON-LD script says you were founded in Perth by Vince Baker, but your visible copy never mentions Perth or Vince, retrieval models spot the discrepancy. Ensure every key schema field (legalName, founder, foundingDate, addressLocality) matches the exact words written in your opening paragraph.
Frequently Asked Questions
What is entity density in SEO?
Think of it as your page's factual signal-to-noise ratio. It is the percentage of real-world facts: your business name, founder, location, and core services, packed cleanly into your H1, subheaders, and the first 150 words relative to total word count.
How does entity density differ from keyword density?
Old search engines acted like calculators counting how many times a keyword repeated. AI engines connect dots: they scan for real-world relationships mapped to knowledge graphs, verifying who you are, what you do, and where you operate.
What is the ideal entity score for generative search engines?
Aim for at least an 80% entity coverage score across your first 150 words. Hitting this benchmark gives AI models sufficient confidence to cite your business directly without hallucinating attributes or defaulting to a competitor.
Can high entity density lead to search over-optimisation penalties?
No. Unlike legacy keyword stuffing, entity density relies on natural grammatical triples (Subject-Predicate-Object). Providing precise factual anchors like founding year, practitioner credentials, and city locations improves human readability while eliminating ambiguity for machines.
See What AI Search Actually Thinks of Your Brand
Download the free diagnostic template to audit your opening copy, or run an automated visibility scan to inspect how AI engines parse your business today.