Internal SOP & Client Optimisation Tool

SEO & GEO Audit Checklist

This is the exact framework we use to audit and optimise every client site. Click each checkbox to track your progress. Green = compliant, Red = needs work.

Overall Progress
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Not Evaluated
Compliant
Non-Compliant
1

Technical Foundation

Speed, crawlability, and infrastructure
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Why This Matters

AI crawlers are impatient. Slow site? They move on. Broken robots.txt? You don’t exist. This is where most sites lose before they even start.

Core Web Vitals

TTFB under 300ms Critical ?
Time to First Byte must be under 300ms for AI crawlers to prioritise your site.
How to fix: Test with GTmetrix or Pingdom. Upgrade hosting if on shared servers. Enable server-side caching (Redis, Varnish). Use a CDN (Cloudflare, BunnyCDN). Impact: AI crawlers abort requests over 300ms.
LCP under 2.5 seconds Critical ?
Largest Contentful Paint measures how fast your main content loads.
How to fix: Compress images (WebP, AVIF), lazy-load below-the-fold content, preload critical assets, eliminate render-blocking CSS/JS. Test in PageSpeed Insights. Impact: Poor LCP = higher bounce rate + lower AI citation probability.
CLS under 0.1 High ?
Cumulative Layout Shift: pages must not jump while loading.
How to fix: Reserve space for images (width/height attributes), avoid inserting content above existing content, use CSS aspect-ratio. Impact: Layout shifts harm user experience and reduce engagement metrics AI uses for ranking.
INP under 200ms High ?
Interaction to Next Paint: site must respond to user input in under 200ms.
How to fix: Reduce JavaScript execution time, defer non-critical scripts, use web workers for heavy tasks. Test in Chrome DevTools. Impact: Slow interactions = poor user signals = lower authority score.

Crawl Access

Allow AI crawlers in robots.txt Critical ?
Permit OAI-SearchBot (ChatGPT), PerplexityBot, ClaudeBot, GoogleBot-Other (Gemini).
How to fix: Check your robots.txt file. Ensure no blanket “Disallow: /” rule. Add specific allow rules if needed. Reference: OpenAI GPTBot. Impact: Blocking AI crawlers = zero GEO visibility.
No noindex on key pages Critical ?
Service pages, blog posts, and landing pages must be indexable.
How to fix: Check meta robots tags and HTTP headers. Remove “noindex” from high-value content. Use Screaming Frog or Sitebulb to audit at scale. Impact: Noindex = invisible to all search engines and AI models.
XML sitemap up to date High ?
Sitemap.xml must list all important pages and be submitted to Search Console.
How to fix: Generate sitemap via Yoast, Rank Math, or Screaming Frog. Submit to Google Search Console and Bing Webmaster. Update after major content changes. Impact: Missing sitemap = slower discovery + incomplete indexing.

Mobile & Performance

Mobile-first responsive design Critical ?
Site must render perfectly on all devices without horizontal scrolling.
How to fix: Use responsive CSS (viewport meta tag, flexible grids, media queries). Test on real devices or BrowserStack. Impact: Google and AI models use mobile-first indexing; broken mobile = broken rankings.
Image optimisation (WebP, alt text) High ?
All images under 100KB, served in next-gen formats, with descriptive alt attributes.
How to fix: Convert images to WebP/AVIF via Squoosh or ShortPixel. Write alt text that describes the image content (not “image123.jpg”). Impact: Fast images = better Core Web Vitals + accessibility for vision-impaired crawlers.

Security & Trust

HTTPS everywhere (HSTS enabled) Critical ?
Full HTTPS with HTTP Strict Transport Security header.
How to fix: Install SSL certificate (Let’s Encrypt is free). Add HSTS header via .htaccess or server config. Check for mixed content (insecure assets). Impact: No HTTPS = automatic trust penalty from Google and AI models.
Zero 404 errors on key pages Medium ?
No broken links on homepage, service pages, or high-traffic blog posts.
How to fix: Use Screaming Frog or Ahrefs Site Audit to find 404s. Fix or 301-redirect broken URLs. Monitor Search Console for crawl errors. Impact: Broken links harm user experience and signal poor site maintenance.
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Structured Data & Schema

How AI understands your content
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Schema Is How LLMs Read Your Site

No schema? You’re asking AI to guess what your content means. Schema markup tells models exactly what each element is, who wrote it, and why it matters.

Essential Schema Types

Organization Schema on all pages Critical ?
Include business name, logo, contact info, and sameAs links to social profiles.
How to fix: Add JSON-LD to site header or footer. Required fields: @type, name, url, logo, contactPoint. Include sameAs array with LinkedIn, Facebook, ABN lookup URL. Validate with validator.schema.org. Impact: Organization schema builds entity recognition—essential for GEO.
LocalBusiness Schema (Australian context) Critical ?
For brick-and-mortar or service-area businesses: address, phone, opening hours, geo coordinates.
How to fix: Extend Organization with LocalBusiness type. Add address (streetAddress, addressLocality, addressRegion, postalCode, addressCountry=’AU’), telephone, openingHoursSpecification, geo (latitude, longitude). Impact: Crucial for local SEO and AI local-pack citations.
Article Schema on all blog posts Critical ?
Headline, author, datePublished, dateModified, image, publisher.
How to fix: Add Article or BlogPosting schema to every post. Include author (Person or Organization), publisher (Organization with logo), mainEntityOfPage. Update dateModified when you refresh content. Impact: AI models use publish/modified dates to rank content freshness.
FAQPage Schema (3-6 FAQs per topic) High ?
Structured Q&A for common client questions; each answer 50-150 words.
How to fix: Use FAQPage schema with mainEntity array. Each item: @type: Question, name (the question), acceptedAnswer (Answer type with text). Keep answers concise and factual. Impact: FAQ schema directly feeds AI “People Also Ask” citations and snippet extraction.
BreadcrumbList Schema Medium ?
Logical site hierarchy visible to crawlers.
How to fix: Implement BreadcrumbList with itemListElement array. Each breadcrumb: @type: ListItem, position, name, item (URL). Impact: Helps AI understand content context within site structure.

Advanced Schema

Product Schema (e-commerce sites) High ?
Name, image, description, sku, brand, offers (price, priceCurrency, availability).
How to fix: Add Product schema to every product page. Include aggregateRating if you have reviews. Set offers.availability to InStock, OutOfStock, or PreOrder. Impact: Required for rich snippets in Google Shopping and AI shopping assistants.
HowTo Schema (for guides) Medium ?
Step-by-step instructions with supply list and tool requirements.
How to fix: Use HowTo schema with step array. Each step: @type: HowToStep, name, text, image (optional). Add supply/tool lists if relevant. Impact: HowTo markup can trigger rich results and voice-assistant responses.
VideoObject Schema (for video content) Medium ?
Name, description, thumbnailUrl, uploadDate, duration, contentUrl.
How to fix: Add VideoObject schema to pages embedding YouTube or native video. Include transcript or description field for accessibility. Impact: Video schema enables video carousels and multimodal AI citations.
Speakable Schema (voice search) High ?
Mark sections optimised for voice assistants (Google Assistant, Siri).
How to fix: Add speakable property to Article schema with cssSelector or xpath targeting key paragraphs. Reference: Google Speakable docs. Impact: Voice-optimised content gets prioritised by audio AI (smart speakers, voice search).

Validation & Maintenance

Zero schema errors in Search Console Critical ?
Check “Enhancements” report for missing required fields or syntax errors.
How to fix: Log into Google Search Console → Enhancements. Fix any “Error” or “Warning” items. Re-validate after changes. Use Rich Results Test for real-time checks. Impact: Schema errors prevent rich snippets and break AI parsing.
Update dateModified and Last-Modified header Medium ?
Every time you update content, update schema and HTTP headers to reflect freshness.
How to fix: Ensure your CMS updates dateModified in schema and sends HTTP Last-Modified header. Add visible “Last updated: [date]” text at top of articles. Impact: AI models prioritise fresh content; accurate dates boost citation probability.
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AI-Optimised Content

Writing for LLMs and humans
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Write Once, Get Cited Forever

LLMs don’t read like humans. They scan for structure, facts, and sources. Give them that, and they cite you. Make them guess, and they move on.

Content Structure

One H1 per page (≤70 characters) Critical ?
H1 must be a clear question or declarative statement matching search intent.
How to fix: Review every page. Remove duplicate H1s. Rewrite vague H1s (“Welcome!”) into specific statements (“How to Reinstate a Suspended Google Business Profile”). Impact: Multiple H1s confuse AI; clear H1 = better semantic parsing.
Logical H2/H3 hierarchy (no skipped levels) High ?
H2 for main sections, H3 for subsections, never H1→H3 without H2.
How to fix: Audit heading structure with browser DevTools or Screaming Frog. Fix skipped levels. Use bold text for emphasis instead of fake headings. Impact: Clean hierarchy enables AI to extract section summaries and table-of-contents structures.
Clickable table of contents (>1500 words) Medium ?
Anchor-linked TOC at top of long articles for easy navigation.
How to fix: Use a plugin (Table of Contents Plus, Easy TOC) or custom HTML. Ensure anchor links match H2 IDs. Impact: TOC helps AI identify key sections and improves user dwell time.
Bullet/numbered lists (5-7 items max) High ?
Use HTML <ul> or <ol> tags, not fake lists with dashes.
How to fix: Convert text-based lists into proper <li> elements. Keep each list item to 1-2 sentences. Impact: Structured lists are easier for AI to extract and cite as “Top X” responses.
HTML tables with <caption> tags Critical ?
Every comparison or data table must have a descriptive caption.
How to fix: Add <caption> as first child of <table>. Example: <caption>Comparison of SEO vs GEO Metrics</caption>. Reference: arXiv study on table captions. Impact: LLMs read captions to understand table context; missing caption = ignored table.

Writing Style

Short sentences (≤15-20 words) Medium ?
Break complex ideas into digestible chunks.
How to fix: Run content through Hemingway Editor or Grammarly. Split sentences at conjunctions. Aim for Grade 8 reading level. Impact: Shorter sentences = better comprehension for both humans and AI parsing.
Short paragraphs (2-4 sentences max) Medium ?
Mobile users skim. LLMs extract key sentences. Long blocks fail both.
How to fix: Break up walls of text. One idea per paragraph. Use line breaks liberally. Impact: Skimmable content = higher engagement + easier AI extraction.
Direct Q&A format (immediate answers) High ?
Answer the question in the first sentence, then expand.
How to fix: For FAQ-style content, lead with “Yes/No, [one-sentence answer].” Then elaborate. Example: “Can I appeal a Google Business Profile suspension? Yes, but only if you address the policy violation first.” Impact: Immediate answers optimise for “People Also Ask” and voice search.
Neutral, fact-based tone (no hype) High ?
Write like Wikipedia, not a sales page. AI models trust encyclopedic content.
How to fix: Remove superlatives (“best”, “amazing”, “revolutionary”). Replace with measurable claims (“20% increase in qualified leads”). Reference: Wikipedia NPOV. Impact: Neutral tone = higher trust signal = more citations.

Content Depth

Original data or exclusive insights Critical ?
Publish case study results, client anonymised data, or proprietary research.
How to fix: Document real client results (with permission). Share before/after metrics. Quote your own experience. Reference: “GEO boosts visibility +115% (Princeton/Georgia Tech 2026)”. Impact: Unique data = “information gain” = citation magnet.
Claim-Evidence-Source format Critical ?
Every major claim must cite a source (study, official doc, case result).
How to fix: Use inline citations: “Schema markup increases rich snippet eligibility by 30% (BrightEdge 2024).” Link to authoritative sources. Impact: Cited claims = verifiable content = AI confidence boost.
4

E-E-A-T Signals

Experience, Expertise, Authority, Trust
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AI Trusts Experts, Not Brands

Google and LLMs evaluate content based on who wrote it, how much they know, and whether anyone else trusts them. Build these signals or stay invisible.

Experience

Showcase real case studies with results Critical ?
Publish before/after metrics, client testimonials (anonymised if needed), project timelines.
How to fix: Create dedicated case study pages. Include challenge → solution → result format. Use real numbers (leads generated, traffic increase %). Impact: Demonstrated experience = higher E-E-A-T score.
First-person voice where appropriate Medium ?
Use “I tested”, “In my experience”, “We implemented” to signal hands-on knowledge.
How to fix: Rewrite generic claims into personal observations. Example: “I’ve helped 50+ clients reinstate suspended profiles” vs “It’s possible to reinstate profiles.” Impact: First-person signals direct experience to AI models.

Expertise

Detailed author bio on every article High ?
Include credentials, years of experience, relevant qualifications, link to full bio page.
How to fix: Add author box at top or bottom of posts. Example: “Dorian Menard | 10+ years SEO, Google Business Profile specialist, 500+ clients.” Link to /about/. Impact: Visible author credentials = AI trust signal.
Author Schema with real Person entity High ?
Article schema must include author: { @type: “Person”, name, url, sameAs }.
How to fix: Add Person schema to Article. Include sameAs with LinkedIn, author bio page. Ensure name matches byline. Impact: AI models verify author identity via sameAs links; missing = lower trust.
LinkedIn profile with 500+ connections Medium ?
Active, complete LinkedIn profile linked from author schema and bio.
How to fix: Complete LinkedIn profile (headline, summary, experience, skills). Post regularly. Connect with industry peers. Impact: AI models crawl LinkedIn to validate expertise; 500+ = credibility threshold.

Authority

10-20 topical backlinks from reputable sites Critical ?
Links from industry blogs, local media, business directories (not spammy link farms).
How to fix: Pitch guest posts to relevant sites. Get featured in local press (SmartCompany, Business News Australia). Build relationships with complementary businesses. Impact: Quality backlinks = topical trust = AI citation probability.
Mentions in Australian business media High ?
Featured in or quoted by SmartCompany, Business News, industry publications.
How to fix: HARO/SourceBottle for journalist requests. Publish original research worth citing. Build relationships with local tech/business journalists. Impact: Media mentions = authority signal + entity recognition boost.
Natural, diversified link profile Medium ?
Mix of dofollow/nofollow, branded/non-branded anchor text, various domains.
How to fix: Audit backlink profile with Ahrefs or Semrush. Disavow spammy links. Build natural links via content, partnerships, PR. Impact: Diverse link profile = organic authority = lower spam signals.

Trustworthiness

Complete contact details (address, phone, email) Critical ?
Footer must include full Australian address, phone (not just contact form), email.
How to fix: Add full contact block to footer. Include ABN if applicable. Link to Google Maps. Impact: Complete contact info = trust signal; missing = red flag.
Up-to-date privacy policy and terms High ?
Compliant with Australian Privacy Principles (APP), GDPR if serving EU.
How to fix: Use Termly or iubenda to generate policy. Include data collection, third-party services (GA, forms), user rights. Impact: Missing/outdated policy = trust penalty.
Cite all sources and data claims Critical ?
Link to original studies, Google docs, official guidelines for every statistic.
How to fix: Add inline links to authoritative sources. Use bibliography section for academic-style content. Impact: Cited sources = verifiable claims = AI trust.
5

Entity Recognition

Making AI understand who you are
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Be a Real Entity, Not Just a Website

AI models build knowledge graphs. If you’re not in the graph, you don’t exist. Entity recognition puts you on the map—literally and semantically.

Business Identity

Claimed Google Knowledge Panel Critical ?
Search your brand name. If Knowledge Panel appears, claim it via Google.
How to fix: Google your business name. Click “Claim this knowledge panel” link. Verify ownership. Update all fields. Impact: Claimed Knowledge Panel = verified entity in Google Knowledge Graph.
Fully optimised Google Business Profile Critical ?
Complete profile: categories, attributes, photos, hours, description, posts, Q&A.
How to fix: Log into Google Business Profile Manager. Fill every field. Upload high-res photos (exterior, interior, team, work). Post weekly updates. Respond to all reviews. Impact: GBP = primary local entity signal for Google and AI models.
sameAs links to all social profiles High ?
Organization schema must include sameAs array with LinkedIn, Facebook, X, Instagram, YouTube.
How to fix: Add sameAs array to Organization schema. Include full URLs to verified profiles. Ensure profiles are active (post regularly). Impact: sameAs = entity verification across platforms = stronger Knowledge Graph signal.
ABN lookup and official registry links (AU) High ?
Link to ABN Lookup, ASIC registry, or industry association memberships.
How to fix: Add ABN to footer. Link to https://abr.business.gov.au/ABN/View?id=[YOUR_ABN]. Include industry certifications (e.g., Google Partner). Impact: Official registry links = verified business entity = trust boost.

Advanced Entity Signals

Wikidata entry (optional, for established brands) Medium ?
Create Wikidata item if you meet notability guidelines (press coverage, awards).
How to fix: Check Wikidata. If not listed and you have 3+ independent press mentions, create entry. Include official website, social links, industry. Impact: Wikidata = structured entity in global knowledge base = AI citation boost.
Wikipedia page (optional, high bar) Medium ?
Only for brands with significant media coverage and notable achievements.
How to fix: Review Wikipedia notability guidelines. If eligible, hire a Wikipedia editor (not yourself) to draft page. Impact: Wikipedia = ultimate authority signal; most LLMs prioritise Wikipedia citations.
Consistent NAP (Name, Address, Phone) everywhere Critical ?
Exact same business name, address format, and phone number across all citations.
How to fix: Audit NAP on website footer, GBP, Facebook, LinkedIn, directories. Fix inconsistencies (e.g., “St” vs “Street”). Use BrightLocal or Moz Local to manage citations. Impact: Inconsistent NAP = entity confusion = lower trust and local rankings.

Social Proof

Active social profiles (weekly posts minimum) Medium ?
LinkedIn, Facebook, X (Twitter) updated at least once per week.
How to fix: Schedule posts in advance (Buffer, Hootsuite). Share blog updates, client wins, industry news. Impact: Active profiles = living entity signal; dormant profiles = negative trust signal.
Reviews on ProductReview.com.au or Google High ?
At least 10 authentic reviews with 4+ star average.
How to fix: After project completion, send review request email. Link to GBP or ProductReview. Respond to all reviews (positive and negative). Impact: Reviews = social proof signal for AI models evaluating trust.
6

Citation Optimisation

Getting AI to cite you
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Citations Are the New Rankings

AI models don’t link. They cite. Your content either gets quoted in LLM responses, or it doesn’t exist. This is how you make sure they quote you.

Citation-Ready Content Formats

Publish original statistics and data Critical ?
Conduct surveys, analyse client data (anonymised), compile industry benchmarks.
How to fix: Survey your client base. Aggregate results (e.g., “68% of suspended GBPs are reinstated within 14 days”). Publish as dedicated data page with charts. Impact: Original data = exclusive information = citation magnet.
Create definitive glossaries and definitions High ?
Write authoritative definitions for industry terms (e.g., “What is GEO?”, “What is a Google Business Profile suspension?”).
How to fix: Build glossary page with 10-20 key terms. Each definition: 1-2 sentences, neutral tone, link to full guide. Impact: Definitions are high-citation content; AI models quote them verbatim.
Comprehensive comparison tables High ?
Side-by-side comparisons with clear <caption> tags (e.g., SEO vs GEO, GBP Suspension Types).
How to fix: Create HTML tables with <caption>, <th> headers, and 3-5 comparison criteria. Include sources. Impact: Tables = structured data = easy AI extraction.
Step-by-step guides with numbered lists High ?
How-to content with clear sequential steps and HowTo schema.
How to fix: Write guides in <ol> format. Add HowTo schema. Example: “How to Reinstate a Suspended Google Business Profile in 7 Steps”. Impact: Step-by-step = voice assistant + LLM citation format.

Content Freshness

Content published/updated within last 12 months Critical ?
AI models prioritise recent content; stale content gets ignored.
How to fix: Audit all blog posts. Update outdated stats, add new sections, refresh examples. Update dateModified in schema. Add “Last updated: [date]” at top. Impact: Fresh content = 3x higher citation probability (Princeton 2024).
ISO-8601 date format everywhere Medium ?
Use YYYY-MM-DD format in schema and visible text for machine readability.
How to fix: In schema, use “2026-03-15” format. In text, write “15 March 2026” or “2026-03-15”. Avoid ambiguous formats like “3/15/26”. Impact: ISO dates = no parsing errors = accurate freshness signal.

Citation-Friendly Writing

Use call-out boxes for key facts Medium ?
Highlight important statistics or definitions in visual boxes.
How to fix: Use WordPress block (Info box, Alert) or custom CSS. Example: “Key Stat: 68% of GBP suspensions are resolved in under 14 days.” Impact: Visual emphasis = AI attention + higher extraction probability.
Bibliography or references section High ?
List all sources at end of long-form content with clickable links.
How to fix: Add “References” H2 at end of article. List sources in <ol> or <ul> with full titles and URLs. Impact: Cited sources = verifiable content = AI trust boost.
Descriptive anchor text for internal links Medium ?
Use “how to reinstate a Google Business Profile” instead of “click here”.
How to fix: Audit internal links. Replace generic anchors with keyword-rich descriptive text. Impact: Descriptive anchors = semantic internal linking = better AI context understanding.
7

Distribution & Visibility

Getting your content in front of AI crawlers
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Content That Sits Idle Dies

AI models index what they see. If you don’t distribute your content, they won’t see it. Syndication, backlinks, and social signals all matter.

Content Publishing Cadence

Publish 1-2 blog posts per week High ?
Consistent publishing = fresh content signal to AI crawlers.
How to fix: Create content calendar. Pre-write 4-6 posts. Schedule in advance. Impact: Regular publishing = crawl frequency boost = faster indexing.
Syndicate to LinkedIn and Medium Medium ?
Republish blog posts on LinkedIn Articles and Medium with canonical tag pointing to your site.
How to fix: Wait 7 days after publishing on your site. Copy post to LinkedIn/Medium. Add “Originally published at [your URL]” at bottom. Use canonical tag. Impact: Syndication = wider distribution + backlink + entity reinforcement.

Link Acquisition

Earn topical backlinks from Australian media Critical ?
Target SmartCompany, Business News Australia, StartupDaily, industry blogs.
How to fix: Pitch original research or expert commentary via HARO/SourceBottle. Build relationships with journalists. Offer free resources. Impact: Media links = authority + entity recognition + AI citation boost.
Guest posts on relevant industry sites High ?
Write for complementary businesses (web design, marketing, business consulting).
How to fix: Identify 10-20 relevant blogs. Pitch unique topics with your expertise. Link back to deep content (not just homepage). Impact: Guest posts = topical backlinks + audience crossover.
Broken-link building and resource pages Medium ?
Find broken links on industry resource pages, offer your content as replacement.
How to fix: Use Ahrefs or Check My Links extension. Find dead links on relevant pages. Email site owner: “Found broken link, here’s a better resource.” Impact: Win-win link acquisition with high relevance.

Social & Community

Share content on LinkedIn, Facebook, X Medium ?
Post every new article with summary and link.
How to fix: Schedule posts in Buffer/Hootsuite. Write custom intro for each platform. Tag relevant connections. Impact: Social shares = traffic + engagement signals + potential backlinks.
Participate in Reddit, Quora, niche forums Medium ?
Answer questions with genuine help, link to your content when relevant.
How to fix: Join r/smallbusiness, r/SEO, r/entrepreneur. Answer 5-10 questions/week. Link to your guides when they genuinely help. No spam. Impact: Forum links = referral traffic + AI crawl discovery.
Email newsletter for new content Medium ?
Send monthly digest of new posts to subscriber list.
How to fix: Use Mailchimp, ConvertKit, or Brevo. Add signup form to blog sidebar. Send roundup every 2-4 weeks. Impact: Newsletter = repeat traffic + engaged audience + social sharing.
8

Tracking & Measurement

Proving GEO impact
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You Can’t Improve What You Don’t Measure

GEO isn’t about rankings. It’s about citations, traffic, and conversions. Here’s how to track what matters.

Manual Citation Checks

Weekly manual LLM citation tests Critical ?
Test ChatGPT, Gemini, Perplexity, Claude with target queries. Log brand mentions and position.
How to fix: Create spreadsheet: Date | LLM | Query | Cited? | Position | Source URL. Test 5-10 core queries weekly. Impact: Manual tests = ground truth for GEO performance.
Document citation context and co-mentions Medium ?
Note which competitors are cited alongside you and in what context.
How to fix: Screenshot LLM responses. Track: Who else is cited? What topic cluster? What content type (guide, stats, definition)? Impact: Context analysis = competitive intelligence + content gap identification.

GEO Tracking Tools

Use GEO monitoring platform (Meteoria, Qwairy, Profound) High ?
Automate LLM citation tracking across multiple models and queries.
How to fix: Choose one tool (see comparison: Abondance guide). Set up brand and competitor tracking. Review weekly reports. Impact: Automated tracking = consistent data + trend analysis.
Monitor Google Search Console for AI referrals Medium ?
Track impressions from AI Overviews and rich snippets.
How to fix: Log into GSC → Performance. Filter by “AI Overview” or “Rich result”. Track trends over time. Impact: GSC = official Google data on AI visibility.

Traffic & Engagement

GA4 engagement rate above 60% High ?
High engagement = quality content signal to AI models.
How to fix: Check GA4 → Engagement → Overview. Improve low-engagement pages: add TOC, break up text, add visuals, internal links. Impact: Engagement = user satisfaction = indirect GEO ranking factor.
Track referring domains and backlink growth Medium ?
Monitor new backlinks monthly (Ahrefs, Semrush, Moz).
How to fix: Set up weekly backlink alert emails. Track referring domain count over time. Disavow spam links. Impact: Backlink growth = authority growth = AI citation probability.

Brand Monitoring

Google Alerts for brand mentions Medium ?
Set up alerts for your brand name, key people, main products/services.
How to fix: Go to Google Alerts. Add “Search Scope”, “Dorian Menard”, “[key service]”. Choose “As-it-happens” delivery. Impact: Brand alerts = early detection of new mentions + PR opportunities.
Social listening tool (Brand24, Mention, Hootsuite) Medium ?
Track social mentions, sentiment, share of voice vs competitors.
How to fix: Choose one tool. Set up project with your brand and competitor keywords. Review weekly sentiment report. Impact: Social listening = brand health + content ideas + crisis detection.

Semantic Coverage

Semantic analysis (Babbar, YourText.Guru) Medium ?
Check topical authority and semantic coverage for target keywords.
How to fix: Run content through Babbar or YourText.Guru. Identify missing semantic entities. Add missing terms to content. Impact: Semantic coverage = topical completeness = AI comprehension.

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