Slide 2 Speaker Notes:

"Before diving into the detailed audit of Giftech and Hadiyah, let's briefly introduce who we are. OnDigi Solutions is an AI-native digital marketing & growth engineering agency. Instead of hiring fragmented teams for web development, SEO, and ad management, we integrate directly into your operations. We build, market, optimize, and automate your entire customer acquisition ecosystem under one cohesive system. For Giftech and Hadiyah specifically, we leverage our growth infrastructure to bridge the gap between ad clicks and closed revenue."

Slide 3 Speaker Notes:

"Let's align on the situation in one slide. What's working: Ads are running, your products are solid, robots.txt allows crawling. What's costing you: lack of server-side tracking (ad platforms optimizing on incomplete data), website structure & layout issues on both sites (broken links, buried values), and near-zero AI/GEO visibility (schema markup scores 10/100). Customer Acquisition Cost is higher than it needs to be."

Slide 4 Speaker Notes:

"Here is the reality check. Google and Meta ads are running, but the ROI remains highly inconsistent. Without server-side tracking, platforms bid blind. Leads have nowhere to go after the click without a proper CRM. In parallel, market dynamics are shifting: 60% of search queries end without a click because AI answers them directly, and 64% of shoppers use AI chatbots for gift suggestions. We need to focus on system signal loops."

Slide 5 Speaker Notes:

"Discovery has fragmented. It is not just about typing into Google Search and clicking a website. Buyers discover brands inside AI engines (ChatGPT, Gemini, Perplexity), reviews, and communities. In the traditional journey, if your site doesn't rank in the top 3 on Google, organic traffic drops off. In the generative journey, customer intents hit AI scrapers and semantic indices. We must format our sites for machine readability."

Slide 6 Speaker Notes:

"When you scale ad spend without server-side tracking, the algorithms have no accurate source of truth on who actually bought. They optimize for cheap clicks or low-intent leads, driving up your acquisition cost (CAC). We need to feed actual revenue signals back to the platforms to break this decay loop."

Slide 7 Speaker Notes:

"This is the master system diagram. The website is the core conversion hub. Around it, traffic channels (Google Ads, Meta Ads, SEO/GEO) pull users in, while infrastructure channels (Server Tracking, CRM, Email Flows) capture conversions and sync them bidirectionally. Linking these systems creates a compounding feedback loop."

Slide 8 Speaker Notes:

"Giftech Global represents high-value corporate B2B gifting, whereas Hadiyah is high-velocity direct-to-consumer Islamic gifting. Though they target completely different audiences, they can share a unified server-side tracking framework, schema structures, and analytical metrics."

Slide 11 Speaker Notes:

"Let's look at the B2B audit matrix. Since Giftech is early stage in schema setup, it starts from zero on structured JSON-LD schemas, but Robots.txt and LLMs.txt are solid. By toggling each card, we can inspect the exact technical problems and the solutions we will inject to fix them."

Slide 13 Speaker Notes:

"By upgrading our schemas, we ensure that both standard search engines (Google) and conversational AI engines (ChatGPT) can parse and recommend our bulk offerings. Toggle the switch to see how standard search listings and AI assistants change: the search listing gains rich reviews, price ranges, and FAQs in green, while the AI assistant cites direct pricing tiers and ratings with confidence instead of recommending competitors."

Slide 13 Speaker Notes:

"We audited the live B2B site and categorized the friction points: navigation links pointing to the wrong page like Work Anniversary, lack of clear B2B pricing logic (individual prices shown instead of a quote calculator), Shopify UI appearing too retail-focused, and missing lead capture fields on bulk forms."

Slide 15 Speaker Notes:

"Here is our priority checklist. First, fix broken catalog category pathways. Second, add a custom bulk price calculator above the fold. Third, inject full JSON-LD corporate schema markup."

Slide 17 Speaker Notes:

"Let's align on Hadiyah's baseline state in one unified view. This slide combines our customer journey audit, omnichannel e-commerce ecosystem, and business diagnosis. We find major attribution leaks: no server-side tracking, completely unconfigured email flows, and hardcoded '2026' references which signal out-of-date catalogs to search crawlers."

Slide 17 Speaker Notes:

"Let's look at the Hadiyah Gifting D2C audit matrix. The overall technical SEO is strong at 91, but AI readiness is at 73. By toggling these cards, we can show the details of the top problems—such as missing structured schema and unoptimized media assets—and how we fix them."

Slide 20 Speaker Notes:

"Why do AI assistants cite certain brands over others? Because AI relies on specific data pillars: structured schema code, comparative tables instead of loose paragraphs, deep topical authority guides, third-party verified reviews, and highly cohesive brand mentions across directories."

Slide 21 Speaker Notes:

"To win recommendations in AI search engines, your site needs to participate in this discovery ecosystem. AI scrapers scan your website content, parse semantic schema markup, recognize brand entities, construct knowledge graphs, and then recommend and cite you directly in answers."

Slide 22 Speaker Notes:

"To ensure conversational engines like ChatGPT and Gemini recommend our brands, we must pursue both on-page code enhancements and off-page brand footprint authority. On-page includes JSON-LD schemas and comparable table data. Off-page includes third-party review indicators and allowing indexing scrapers."

Slide 23 Speaker Notes:

"This is our master system diagram. Performance marketing, SEO, AI search, server-side tracking, CRM records, and automated emails are not isolated silos. They are connected. By linking your CRM outcomes back to ad platform servers, we train bidding models to find more of your highest-value clients automatically."

Slide 25 Speaker Notes:

"Our roadmap is structured into 4 sequential phases: Foundation, Optimization, Growth, and Scale. We don't try to scale campaigns before setting up accurate tracking and fixing crawlability. Each phase builds the baseline for the next."

Slide 26 Speaker Notes:

"Let's align on these foundational campaign metrics to ensure we start targeting value accurately. Feel free to raise any other custom questions to explore."

Slide 27 Speaker Notes:

"Thank you all for your time today. Let's open the floor for any questions, align on access requirements, and establish next steps to initiate Phase 1."