# Abdul Hadi

Abdul Hadi shares marketing commentary about AI search, search visibility, and conversion. Their posts discuss how AI recommendations may influence buying decisions and compare AI search with Google.

- Profile: https://b2binfluencer.marketing/creators/abdul-hadi/
- LinkedIn: https://www.linkedin.com/in/abdul-hadi-0861a5381
- LinkedIn followers: 424
- Topics: artificial-intelligence, generative-engine-optimization, ai-search
- Based on 9 dated posts, latest 2026-09-30

## Summary

Abdul Hadi is useful for short LinkedIn commentary on AI search, search visibility, and conversion for B2B SaaS marketing.

- Best for: A B2B SaaS campaign that needs topic-aligned arguments about AI search and Google.
- Not for: A consumer product launch needing video, images, live prices, availability, reach does not fit.
- Check first: Confirm audience breakdown, partnership history, rate card, deliverables, disclosure, and timeline.

### Takeaways

- AI recommendations can shape the buyer's shortlist and which brands are considered.
- AI search may bring fewer visitors but more ready-to-buy prospects.
- Google still wins for live information, product prices, images, video, and source verification.

## Main ideas

- **AI recommendations can shape the buyer’s shortlist**: Abdul Hadi argues that trust in an AI system can carry over to the products it recommends. Accurate, relevant recommendations may boost confidence in buying and change which brands people consider.
- **AI search may bring fewer visitors but more ready-to-buy prospects**: Abdul Hadi contrasts Google’s larger flow of organic traffic with AI search’s potentially higher conversion rates. The post attributes this to more specific AI queries, trust in recommendations, and the ease of choosing from a short list. The conversion figures lack named sources; ask for them before using these as benchmarks.
- **Use AI search alongside Google, not instead of it**: Abdul Hadi also sets limits on the AI-search argument. AI can help with answers, summaries, and recommendations, while Google remains useful for live information, shopping details, images and video, niche sources, and links people can check. The position is more balanced than a simple claim that AI is taking over search.

## Work to read

- [AI search conversion rates and the B2B SaaS opportunity](https://www.linkedin.com/posts/abdul-hadi-0861a5381_aisearch-digitalmarketing-conversionrate-activity-7446920000818319360-YlLq)
- [Trust in AI recommendations changes the brands buyers consider](https://www.linkedin.com/posts/abdul-hadi-0861a5381_studies-show-that-ai-tools-like-chatbots-activity-7425232819725008896-F9wO)
- [Where Google still beats AI search](https://www.linkedin.com/posts/abdul-hadi-0861a5381_ai-searchengine-googlevsai-activity-7427047639948361728-OfF0)

## Partnerships

The three LinkedIn posts contain no sponsor disclosure, media kit, rate information, or partnership inquiry route. Abdul Hadi's posts read as marketing commentary about AI search and conversion, not branded placements; none carries a sponsor label, partner tag, or commercial call to action. They state no partnership format, deliverable, pricing basis, review process, or turnaround. Ask directly through the LinkedIn profile for a written scope covering format, placement, disclosure, timeline, and measurement.

## Alternatives

- Clwyd Probert: Pick Clwyd Probert when the B2B SaaS campaign is as much about category position as referral conversion. Where Abdul Hadi argues with conversion numbers, Probert reframes the shift itself: Google's ten blue links, with click-through falling from 28.5 percent at position one to 2.5 percent at position ten, versus two or three AI mentions and no second page to rank on. The post claims AI discovery rewards the quality of an answer rather than a backlink history, and names Hampton as a business that won customers through ChatGPT queries about leadership challenges. A second post takes the strategy further: HubSpot built Inbound Marketing as a movement it never trademarked, and Probert sets out a category-creation sequence — name the inefficient market, codify a methodology, publish the thinking, build community — citing a London HubSpot user group as producing more qualified leads than paid ads. Choose Probert when the client needs the strategic case for rethinking search plus a community or category component beyond the conversion analysis in those posts.
- Daksh Jain: Choose Daksh Jain when the client wants the marketing team running something this week rather than being persuaded. One post is a library of twenty ChatGPT prompts for SEO and content marketing, covering featured-snippet targeting, competitor analysis, topical maps, content briefs, search-intent mapping, FAQ schema and content gap analysis, each written for readers to paste. The other lists eight free Google tools — Search Console, Analytics 4, PageSpeed Insights, Keyword Planner, Business Profile, Tag Manager, Merchant Center and Trends — with what each shows and why a beginner should master it. Jain fits a brief where GEO is already accepted as a priority and the gap is a repeatable prompt and tool set the team can adopt immediately, alongside Abdul Hadi's case for why AI answers matter.
- Richard Newton: Choose Richard Newton when the same goal — being found and chosen by high-intent searchers — has to be pursued at page level on an ecommerce or retail site. One post argues that perfect product markup is wasted when the page around it cannot answer a shopper's obvious question: structured data can state the product, price and stock, but it cannot explain who the product is for or answer the concern a buyer has before clicking Buy, a point made sharper by Google listing Discover as somewhere retailer-hosted product videos can appear. Newton describes Sprite looking for buyer-ready questions competitors have left unanswered and turning them into an organic revenue channel over 90 days. The second post reads Reformation's plan to double its store fleet as a collection-page problem: store discovery leads to category searches such as linen dresses, sustainable occasionwear and wedding guest dresses, and a strong collection page has to make the category unmistakable, match shoppers' words, and give search engines context. Both posts end with a self-run audit prompt a team can act on today.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/