What You'll Learn in This Article
8 key topics covered to help you take action.
Quick Answer
Step 1: Brand Visibility Check (45 minutes)
Step 2: AI Crawler Access Check (15 minutes)
Step 3: Schema Baseline (45 minutes)
Step 4: Content Answerability Check (45 minutes)
Step 5: FAQ Coverage Check (30 minutes)
Step 6: Citation Comparison (60 minutes)
Step 7: Tracking Setup (15 minutes)
Best Marketing Singapore
First published: 22 June 2026 · Last updated: 22 June 2026
Brand visibility check
Are AI engines finding your brand at all? Run 10 branded and category prompts on ChatGPT, Perplexity, AI Overviews. Log who gets cited.
AI crawler access check
Is GPTBot, ClaudeBot, PerplexityBot, Googlebot allowed in robots.txt? Most SG sites silently block one or more.
Schema baseline
Run Rich Results Test on 5 key pages. Confirm Organization, FAQPage, Article schema present and validated.
Content answerability
Are pages structured as scannable answers? H2s as questions, 30-50 word answer leads, short paragraphs, clear hierarchy.
FAQ coverage
Do top 10 commercial pages have at least 4 FAQ items each, marked up with FAQPage schema? Most miss this.
Citation comparison
Who is currently being cited for your top 20 commercial queries? What format do their cited pages share?
Tracking setup
Quarterly manual citation log + GA4 referrer tracking for chat.openai.com, perplexity.ai, gemini.google.com.
Step 1: Brand Visibility Check (45 minutes)
The first question you need to answer is the simplest: do AI engines know you exist? You would be surprised how many SG SMEs are completely invisible to ChatGPT and Perplexity for queries they should own. Open three tabs: ChatGPT (chat.openai.com), Perplexity (perplexity.ai), and Google with AI Overviews enabled. Run these 10 queries, log who gets cited:- "[Your brand name]" (does it appear at all?)
- "What does [your brand] do?"
- "Best [your category] in Singapore" (e.g. best digital marketing agency in Singapore)
- "How much does [your service] cost in Singapore?"
- "[Your category] for [specific buyer], e.g. SEO for healthcare clinics in Singapore"
- "[Your top 5 competitor 1] vs [Your top competitor 2]" (are you in the comparison or invisible?)
- "Top 10 [your category] companies in Singapore"
- "How to choose a [your category] in Singapore"
- "[Your category] reviews Singapore"
- "[Your most-bought product or service] price Singapore"
Step 2: AI Crawler Access Check (15 minutes)
The most embarrassing AEO mistake is a site that has accidentally blocked the AI engines from crawling it. This happens more often than you would think; old robots.txt rules, dev team caution, security plugins. The audit step is simple. Open `[yourdomain.com]/robots.txt` in your browser. Look for any lines that mention these user agents:- `GPTBot` (OpenAI's crawler for ChatGPT and ChatGPT Search)
- `ClaudeBot` and `Claude-Web` (Anthropic's crawler for Claude)
- `PerplexityBot` (Perplexity's crawler)
- `Google-Extended` (Google's crawler for AI Overviews and Bard/Gemini training, separate from Googlebot)
- `Applebot-Extended` (Apple Intelligence crawler)
- `Bingbot` (Bing's classical crawler, also feeds Copilot)
Step 3: Schema Baseline (45 minutes)
Schema markup is the structured data that helps AI engines extract and cite your content with confidence. We covered the strategic case in GEO schema markup for AI citations; this is the audit version. Pick 5 representative pages: your homepage, your top service or product page, your top blog post, your top FAQ-heavy page, and one location or service-area page. For each, do this:- Open Google's Rich Results Test (search "Rich Results Test").
- Paste the page URL.
- Look at "Detected items". Note which schema types are present (Organization, LocalBusiness, FAQPage, Article, Product, Service).
- Note any errors or warnings.
Step 4: Content Answerability Check (45 minutes)
AI engines preferentially cite content that is structured as scannable, extractable answers. Walls of marketing prose are bad citation candidates. The audit question is simple: are your top pages structured for answer extraction? Pick the same 5 pages from Step 3. For each, score yes or no on these criteria:- Question-form H2s. At least 3 of the H2 headings on the page are phrased as questions ("How does X work?", "What is the cost of Y?")
- 30 to 50 word answer leads. Each major H2 is followed by a 30 to 50 word direct answer in the first paragraph (rather than a 200-word warm-up).
- Short paragraphs. No paragraph longer than 4 sentences. AI engines bail out on dense walls of text.
- Clear hierarchy. Logical H1 to H2 to H3 structure, not a soup of equally-weighted headings.
- TLDR or summary. A short summary or quick answer block near the top of the page.
| Criterion | Why it matters | Pass threshold |
|---|---|---|
| Question-form H2s | AI engines extract answers to questions, not topics | 3+ per top page |
| 30-50 word answer leads | Featured snippet and citation pull length | Every major H2 |
| Short paragraphs | Dense text drops citation probability | Max 4 sentences each |
| Clear hierarchy | Heading structure signals content map | H1, H2, H3 logical |
| TLDR or summary | Quick-extract block for AI summarisation | Within first 200 words |
Step 5: FAQ Coverage Check (30 minutes)
FAQPage schema is currently the highest-leverage AEO move. AI engines actively pull from FAQ markup because it is pre-structured Q&A format that maps cleanly to what they need to generate. Yet most SG SME sites have FAQ blocks on only their homepage, if at all.
Audit your top 10 commercial pages (highest-traffic service pages, top product pages). For each:
- Does the page have a visible FAQ section with at least 4 questions and answers?
- Is the FAQ marked up with FAQPage schema (check via Rich Results Test)?
- Are the questions mined from real customer queries (sales call FAQs, support tickets, People Also Ask) or made-up filler?
A page that fails any of these three is a clear fix. The FAQ block is one of the cheapest content additions you can make. Mining the questions takes 1 to 2 hours per page (review last 30 days of sales calls, last 50 support tickets, top PAA results). Writing the answers takes another 1 to 2 hours. Adding the schema takes 0 hours if your site is templated; otherwise 30 minutes per page for a dev. Our piece on People Also Ask optimisation covers the question-mining process in depth.
Step 6: Citation Comparison (60 minutes)
Now look at who is winning what you should be winning. For your top 20 commercial queries (the ones from Step 1, plus 10 more high-intent ones), log which pages and brands are getting cited in ChatGPT, Perplexity and AI Overviews. Look for patterns.
What format are the cited pages in? Long-form guides? Comparison articles? Listicles? Service pages with FAQs? Product detail pages? The format pattern is your prescription for what to build.
What domains are dominating? If three or four domains are consistently cited across your top queries, those are your AEO competitors. They have done something right. Visit each one and look at:
- Do they have visible FAQ sections?
- Do they have explicit Q&A content?
- Are their pages structured with question-form H2s?
- Do they have author bylines and bio pages?
- How long is their content?
You will see a pattern. Replicate it. This is not about copying; it is about matching the format conventions that the AI engines have learned to trust in your category. If every cited page in your category is 2,500 words with FAQ schema and a clear author byline, your 600-word service page with no FAQ is structurally disqualified from citation.
Step 7: Tracking Setup (15 minutes)
You cannot improve what you do not measure. AEO tracking is still primitive in 2026 (no native rank-tracker for AI engines), but two simple setups give you a baseline.
Manual quarterly citation log. Set a calendar reminder for the first week of every quarter. Re-run your top 20 queries on ChatGPT, Perplexity and AI Overviews. Log who gets cited. Compare to last quarter. This is the only true measure of your AEO trajectory.
GA4 referrer tracking. AI engines that send actual click-throughs (Perplexity does, ChatGPT Search does, AI Overviews sometimes does) will appear in your GA4 referral reports. Filter or annotate for these specific referrers:
- chat.openai.com
- chatgpt.com
- perplexity.ai
- gemini.google.com
- copilot.microsoft.com
Track the trend. Even small positive trends here are early signals that your AEO investment is working. We covered the deeper measurement question in measuring GEO performance with the right tools.
What to Do With Your Audit Results
After the 7 steps you should have a prioritised fix list. The typical SG SME site comes out with 5 to 15 specific actions. Group them three ways:
Quick wins (under 4 hours of work each):
- Fix robots.txt to allow AI crawlers
- Add FAQ blocks to top 5 commercial pages
- Restructure 3 service pages with question-form H2s
- Add 30 to 50 word answer leads to existing H2s
Medium projects (1 to 5 days of work):
- Ship Organization, LocalBusiness, FAQPage, Article schema sitewide
- Build out FAQ content on remaining commercial pages
- Add author bio pages and proper Article schema bylines
- Restructure top 10 pages for answer extraction
Strategic investments (ongoing):
- Quarterly AEO audit cadence
- New blog content built around question-form titles and answer-first structure
- Manual quarterly citation tracking
- Content team training on AEO writing patterns
Do the quick wins this month. Schedule the medium projects across the next quarter. Build the strategic investments into your standing scope.
This week: unblock crawlers
If any AI bot is disallowed in robots.txt, fix today. Every day of invisibility compounds.
This month: quick content wins
FAQ blocks on top 5 pages, question-form H2s, 30-50 word answer leads. Content team work, no dev needed.
This quarter: schema sweep
Organization, LocalBusiness, FAQPage, Article schema sitewide. 8-20 hour dev project, big visibility payoff.
Ongoing: cadence + tracking
Quarterly re-audit, monthly GA4 AI-referrer review, AEO standards in every new content brief.
Frequently Asked Questions
How is an AEO audit different from a regular SEO audit?
A regular SEO audit checks ranking factors for classical Google search: backlinks, page speed, on-page keyword usage, technical crawlability. An AEO audit checks visibility factors for AI answer engines: structured data depth, content answerability, AI bot crawler access, citation patterns. There is overlap (technical crawlability matters for both) but the priorities are different. AEO weights schema, FAQ coverage and answer-format structure more heavily than backlinks or keyword density.
Do I need an SEO agency to run this audit?
No. The 7-step decision-maker version is designed for an in-house marketing manager to run with no code knowledge. You will need a dev team or agency to implement some of the fixes (especially the schema work), but the audit itself is self-service. If you would rather hand the whole thing over, that is what our AI SEO service is for. For a deeper practitioner-level audit with technical implementation depth, our piece on the AI SEO audit workflow at BestSEO is the next-level read.
How often should I re-run the AEO audit?
Quarterly is the right cadence. AI engines update their citation logic regularly, your competitors move, and your own site changes. A quarterly audit catches drift before it costs you visibility. For high-stakes commercial sites or sites in fast-moving categories, a monthly mini-audit (Steps 1, 2 and 6 only) is also worth doing.
What if my brand is invisible across all 30 audit queries in Step 1?
That is more common than you would think for SG SMEs. The good news is the fix path is clear: ship Tier 1 schema (Organization, LocalBusiness), add FAQ blocks to your top 5 commercial pages, ensure robots.txt allows AI crawlers, and start producing 1 to 2 question-targeted blog posts per week. Most brands see their first AI citations within 60 to 90 days of starting this work consistently.
Does AEO work cannibalise my classical SEO?
No. AEO improvements (better schema, clearer answer structure, FAQ depth, answer-form H2s) almost always also improve classical SEO performance because Google's traditional ranking algorithm rewards the same signals. The two disciplines are largely additive. The only exception is if you produce content that is purely AEO-optimised filler with no genuine value; that hurts both. Quality content with AEO-friendly structure is the goal.
Should I worry about AI engines citing my content without driving traffic?
Worth thinking about, not worth panicking over. AI engines do increase zero-click impressions, but they also drive direct traffic (Perplexity in particular sends meaningful click-through), and brand mentions in AI answers compound brand recall even without clicks. Our piece on zero-click search strategy covers how to win when no one clicks. The brands that refuse to optimise for AI engines because "they will not click anyway" are choosing invisibility, which is worse than zero clicks.
