AEO Audit Checklist: 20-Point Review for Kerala Business Websites

An AEO audit for a Kerala business website examines four dimensions: content structure, schema markup, E-E-A-T signals, and entity consistency. This 20-point checklist covers each dimension with pass/fail criteria you can apply today, plus a scoring guide to prioritize the fixes that will move your AI search visibility fastest.

ചുരുക്കം: കേരളത്തിലെ ബിസിനസ്സ് വെബ്സൈറ്റുകൾക്ക് AEO-ൽ മുന്നേറണമെങ്കിൽ — content structure, schema markup, E-E-A-T signals, entity consistency എന്നീ നാല് മേഖലകൾ ഒരു 20-പോയിന്റ് checklist ഉപയോഗിച്ച് audit ചെയ്യുക. Score 18–20 ആണെങ്കിൽ strong AEO readiness; 12-ൽ കുറവാണെങ്കിൽ അടിസ്ഥാനപരമായ മാറ്റങ്ങൾ ആവശ്യമാണ്.

Why Kerala Businesses Need an AEO-Specific Audit

Standard SEO audits check for crawlability, mobile friendliness, and keyword rankings. AEO audits look at a different set of signals — the ones that determine whether AI engines like Google AI Overviews, ChatGPT, Perplexity, and Gemini will extract, quote, and cite your content in their responses.

A Kerala tourism operator might rank well in traditional organic results but score poorly on AEO readiness because their pages lack direct answer paragraphs, their schema markup is absent, and their author information is not verifiable. This checklist identifies exactly those gaps. Work through each point honestly — a partial pass counts as a fail for scoring purposes.

Category 1: Content Structure (Points 1–5)

Point 1: Does Each Page Have a Direct Answer Paragraph Near the Top?

Pass: Within the first 150 words of the main content, there is a 40–70 word paragraph that directly answers the page's primary question or states what the page is about in concrete, extractable terms.

Fail: The page opens with background context, brand history, or generic industry statements before getting to the point.

Fix: Rewrite your opening paragraph for each key page to answer the implicit question immediately. For a Kochi web development company, that might mean opening a services page with: "We build custom websites and web applications for Kerala businesses, typically delivering projects in 4–12 weeks depending on scope, with transparent fixed-price contracts."

Point 2: Are Questions Used as H2/H3 Headings?

Pass: At least 50% of your H2 or H3 headings are phrased as questions that a customer would actually type or speak.

Fail: Headings are generic labels like "Our Services," "About Our Company," or "Why Choose Us."

Fix: Convert section headings from labels to questions. "Our Ayurveda Treatments" becomes "What Ayurveda treatments do we offer in Thiruvananthapuram?" This one change significantly improves AI parseability.

Point 3: Is Content Organized in Scannable Sections That AI Can Extract Independently?

Pass: Each H2 section, read in isolation, forms a complete, standalone answer. There are no forward references ("as we will explain later") or dangling dependencies between sections.

Fail: Content is written as a continuous narrative where understanding one section requires reading all previous sections.

Fix: Restructure long-form content so each major section opens with its own direct answer, supports it with evidence, and closes with a clear takeaway. AI engines extract content section by section, not as a flowing document.

Point 4: Are Definitions Provided for Industry Terms?

Pass: Every time a technical, local, or industry-specific term is used (Panchakarma, GST composition scheme, MSME Udyam registration, vibe coding), it is defined in plain language on the same page.

Fail: Technical terms appear without explanation, assuming reader familiarity.

Fix: Add a brief parenthetical definition on first use, or add a "Key Terms" section. For a Kerala legal firm's website: "RERA (Real Estate Regulatory Authority, the body overseeing property transactions in Kerala) requires all developers to register projects above 500 sq metres."

Point 5: Are Step-by-Step Processes Written as Numbered Lists?

Pass: Any process with three or more steps is presented as an ordered list with each step on its own line, beginning with an action verb.

Fail: Processes are embedded in paragraph prose: "First you should do X, and then after that you can proceed to Y before finally completing Z."

Fix: Extract all process descriptions from paragraphs and reformat as numbered lists. This is one of the highest-impact structural changes for AI citation rates.

Category 2: Schema Markup (Points 6–10)

Point 6: Is FAQPage Schema Present and Matching Visible FAQ Content?

Pass: Service pages and blog posts with visible FAQ sections have FAQPage schema in the head, and every question/answer in the schema exactly matches the visible content on the page.

Fail: No FAQPage schema present, or schema questions differ from visible FAQ text (even slightly — a period vs. no period counts as a mismatch in strict validation).

Fix: Add FAQPage schema to all pages with FAQ sections. Validate at Google's Rich Results Test (search.google.com/test/rich-results) before deploying.

Point 7: Is Speakable Schema Marking Key Paragraphs?

Pass: Speakable schema using cssSelector targets your H1 and intro paragraph at minimum, marking them as priority content for voice and AI reading.

Fail: No Speakable schema present on any pages.

Fix: Add a SpeakableSpecification to your Article schema blocks targeting your H1 and intro paragraph CSS selectors. This directly signals to Google which content to extract for voice and AI responses.

Point 8: Is Organization or LocalBusiness Schema Present on the Homepage?

Pass: Your homepage has either Organization or LocalBusiness schema with accurate name, address, phone, URL, logo, and sameAs links to your Google Business Profile, LinkedIn, and other authoritative profiles.

Fail: Homepage has no structured data, or LocalBusiness schema has incorrect address or missing sameAs links.

Fix: Implement LocalBusiness schema on your homepage. The sameAs array is particularly important for entity recognition — include your Google Business Profile URL, LinkedIn company page, and any industry directory listings.

Point 9: Is Article Schema with Valid Author Entity on Blog Posts?

Pass: Every blog post has Article schema with datePublished, dateModified, and an author block linking to a Person entity page (your About page or author profile page).

Fail: Blog posts have no Article schema, or author is listed only as a string ("Rajesh") rather than a linked Person entity.

Fix: Update blog post Article schema to include a full author Person object with name and url pointing to a real page that describes the author. This is a fundamental E-E-A-T signal for AI engines.

Point 10: Is HowTo Schema Used on Instructional Content?

Pass: Any page that walks through a process (how to register a GST number in Kerala, how to apply for an Ayurveda clinic permit, how to set up a WooCommerce store) uses HowTo schema with individual steps.

Fail: Instructional content uses only Article schema or no schema at all.

Fix: Identify your top three to five how-to content pieces and add HowTo schema. This schema type is directly used by Google AI Overviews for process-type queries.

Category 3: E-E-A-T Signals (Points 11–15)

Point 11: Are Author Bio Pages Present with Verifiable Credentials?

Pass: Each author on your website has a dedicated bio page or prominent bio section with their professional background, specific expertise claims, and links to verifiable external profiles (LinkedIn, professional association membership, published works).

Fail: Content is published anonymously or with a single-line byline but no supporting credentials.

Fix: Create an author page for every person who publishes content on your site. Include specific, verifiable details: "12 years of IT consulting experience with clients including [verifiable reference types], certified in [specific credentials]."

Point 12: Does Your About Page Carry Verifiable Business Information?

Pass: About page includes business registration details, physical address, founding date, named team members with roles, and at least one external verification (award, certification, press mention, government registration).

Fail: About page is generic ("We are a passionate team committed to excellence") with no verifiable specifics.

Fix: Rewrite your About page with concrete, verifiable information. For Kerala businesses: include your Kerala Shops and Establishment registration, MSME certificate, or professional association membership. These details build machine-verifiable trust.

Point 13: Are External Citations Used in Content?

Pass: Claims, statistics, and facts in your content link to authoritative external sources: government data (Kerala Planning Board, KITE), industry bodies (NASSCOM, ASSOCHAM), academic publications, or reputable news sources.

Fail: Content makes assertions without external citations, or cites only internal pages for factual claims.

Fix: Go through your five most important pages and add at least two to three external citations per page. Linking to Kerala government data portals is particularly strong for locally-focused content.

Point 14: Is Contact Information Complete and Consistent with Google Business Profile?

Pass: Phone, address, and business name on your website are character-for-character identical to your Google Business Profile listing. Hours are accurate and present on both.

Fail: Website shows "Rajesh R Nair Consulting" but GBP shows "RR Nair IT Services." Even small variations reduce entity confidence for AI systems.

Fix: Do a side-by-side comparison of your website contact page and Google Business Profile. Correct any discrepancies — pick one format for your business name and address and apply it consistently everywhere.

Point 15: Are Reviews and Testimonials from Verifiable Sources?

Pass: Testimonials on your website include the reviewer's full name, company name (for B2B), and ideally link to the source review on Google, LinkedIn, or another third-party platform.

Fail: Testimonials show only first names ("Priya S., satisfied customer") with no verifiable source.

Fix: Replace anonymous testimonials with linked Google Reviews or LinkedIn recommendations. These carry actual trust signals that AI engines can verify, while anonymous quotes do not.

Category 4: Entity Consistency (Points 16–20)

Point 16: Is Business Name, Address, and Phone Identical Across All Platforms?

Pass: Your NAP (Name, Address, Phone) is identical on your website, GBP, Justdial, IndiaMART, LinkedIn company page, and any other directory listings.

Fail: Different address formats, phone number formats, or business name variations appear across platforms.

Fix: Audit all your directory listings. Use a consistent format: full business name, full street address, +91 format phone number. Fix discrepancies directly in each platform's listing management portal.

Point 17: Is Brand Description Consistent Across GBP, LinkedIn, and Website?

Pass: Your core value proposition and business description are clearly consistent across all platforms — same focus, same target audience, same key differentiators — even if worded differently.

Fail: Website positions you as an "IT consultant," LinkedIn describes you as a "digital marketer," and GBP says "web designer." Conflicting signals confuse entity recognition systems.

Fix: Write a 50-word canonical brand description and ensure every platform accurately reflects it. This is not about copying text verbatim — it is about consistent positioning.

Point 18: Is Your Logo Consistent Across All Web Presences?

Pass: The same logo (or a clearly consistent brand mark) appears on your website, GBP, LinkedIn, social profiles, and any press mentions.

Fail: Different logo versions, outdated logos on some platforms, or no logo at all on business directory listings.

Fix: Standardize on one primary logo file and update all platforms. For AI entity recognition, visual consistency is a supporting signal that your brand is a single coherent entity.

Point 19: Are Social Media Profiles Cross-Linked with Your Website?

Pass: Your website footer or About page links to your LinkedIn, YouTube, Instagram, and other relevant social profiles. Those profiles in turn link back to your website in their bio/about sections.

Fail: Unidirectional or broken social links — website links out but social profiles do not link back, or some social links on the website are dead.

Fix: Check each social profile's bio section and verify the website URL is current and correct. Test each social link on your website. This bidirectional linking strengthens the entity graph around your business.

Point 20: Is There Any Wikidata or Wikipedia Entity Presence?

Pass: Your business or personal brand has a Wikidata entry, a Wikipedia article (for larger businesses), or is referenced in Wikipedia articles relevant to your industry (e.g., your clinic named in an article about Ayurveda tourism in Kerala).

Fail: No presence in knowledge graph sources. This is a fail for most small Kerala businesses — it is the hardest point to pass and should be a long-term goal, not an immediate fix.

Fix: Create a Wikidata entry for your business if none exists. Wikidata entries are public knowledge graph records that directly feed into Google's Knowledge Graph and AI entity databases. This is achievable for established businesses even without Wikipedia notability.

Scoring and Interpretation

Score one point for each clean pass. Partial passes count as 0.

• 18–20: Strong AEO readiness. Your site is well-positioned for AI engine citations. Focus on content freshness and topical depth to maintain and extend this advantage.
• 12–17: Moderate AEO readiness. You have foundational elements in place but significant gaps exist. Prioritize schema markup fixes (Points 6–10) first — they tend to produce the fastest measurable improvements.
• Under 12: Needs fundamental work. Start with Content Structure (Points 1–5) since these fixes require no technical expertise and will improve both AI visibility and user experience simultaneously. Then tackle schema and E-E-A-T in parallel.

Myth: AEO Audits Are Too Technical for Non-Technical Business Owners

This misconception prevents many Kerala business owners from ever running an audit at all. In reality, 12 of these 20 points require nothing more than reading your website critically and comparing it against clear criteria. You do not need to understand JSON-LD to evaluate whether your FAQ answers are specific and direct. You do not need coding knowledge to assess whether your About page contains verifiable business information.

The four schema-related points (6–10) do benefit from technical assistance. But completing the other 16 points yourself gives you a clear picture of your AEO readiness — and often reveals that the biggest wins come from rewriting a few key paragraphs, not from technical fixes at all.