Tools to improve content depth and trust signals

Today I’m launching a project I’ve been working on for weeks. A full meta-analysis of how AI search (LLMs) really works.   ✅ 19 studies ✅ 6 case studies ✅ 10,000+ LLM answers ✅ Thousands of branded citations  ✅ Millions of sessions across AI tools And I didn’t do this alone, Talal Syed 🌀, and I worked on it together, and we reached out to some of the sharpest minds in the industry to review, validate, and stress-test the findings. Most of the noise around “optimizing for LLMs” is just speculation. So we pulled together every credible study we could find, research papers, real-world tests, technical audits, and graded the evidence. The catch? Most studies show what matters for LLM visibility, but very few attempt to quantify how much each factor matters. And the truth is, not all signals are equal. Brand mentions don’t carry the same weight as freshness. Schema isn’t the same as PR. That’s why this analysis also looked at relative weightage, what moves the needle more vs. what just reinforces. Here's what consistently showed up (and their relative impact): ➜ Structured content (highest impact) LLMs love clean formatting, FAQs, schema, and content that fully answers queries. This was the single strongest signal across every study. ➜ Comprehensive coverage (very high impact) Depth matters. Pages that fully cover a topic outperform surface-level content almost every time. ➜ Brand mentions & digital PR (high impact) Mentions in PR, roundups, and authority sites make LLMs “remember” you, especially when layered on top of structured content. ➜ E-E-A-T & credibility (medium-high impact) Author bios, expert bylines, and trust signals reinforce legitimacy but rarely drive inclusion by themselves. ➜ User-generated content & communities (medium impact) Platforms like Reddit, G2, and Stack Overflow frequently show up in training data and citations, making them strong amplifiers. ➜ Knowledge graph & entity presence (medium impact) Structured entity alignment (Wikipedia, Wikidata, schema databases) helps LLMs place you in the right context. ➜ Customer reviews & reputation signals (supporting impact) Reviews help with commercial queries the most, but rarely move rankings alone. There's a strong dependence on the medium/high impact factors above. ➜ Freshness & Bing indexing (supporting impact) Timely updates and Bing indexing act as entry filters. Necessary, but not sufficient to win visibility on their own. ➜ Experimental tactics like prompt injection (low impact) Novel but unreliable, with very little evidence of lasting gains and long-term success. 👉 The complete report can be found in the comments below. #seo #saas #growthmarketing #growth #contentstrategy #b2b #b2bmarketing #digitalmarketing #seostrategy

70% PDPs bury critical info below the 3rd fold. (where less than 40% visitors reach) Leading to: – Shoppers unable to understand USPs – High bounce rate or drop-off in first fold – Less than 10% add to cart rate Showing the right things, at the right time, in the right order is critical for conversion. In this breakdown, I’ve made 11 strategic changes that improve content hierarchy and make a page convert better. 1. Add USP badges. These badges highlight product suitability and certifications, helping users see if it fits their needs and values. 2. Have a concise product title and short description. Place this above the product image. This helps users understand what the product is and why it’s useful right away. 3. Show awards that the product has won. This builds credibility. Especially in skincare and health care. 4. Showcase product thumbnails. This increases engagement with the image gallery. Helping more visitors learn about the product and convert. 5. Add key product USPs. These short notes give users an instant sense of what makes the product stand out, capturing interest without needing to read full descriptions. 6. Add clear bullet points for key product benefits. Explain exactly how the product works and what users can expect, making it easy to scan and understand the value. 7. Make the add to cart CTA stand out. Avoid stroke outline and keep a fill. A/B test having a sticky add to cart CTA. 8. Place trust signals closer to the purchase button. When shipping and return details appear right where buying decisions happen, it reduces the friction that causes cart abandonment. 9. Highlighting what's NOT in the product with clear icons. Helps to understand the brand's values and can trust that it aligns with their ingredient preferences. 10. Include before/after photos. Visual proof of results paired with clear benefit statements builds credibility. Helps skeptical shoppers see real evidence. 11. Add a "Complete Your Routine" section. Suggest complementary products to guide customers toward building a full regimen, naturally increasing order value while helping them succeed. Other UX/UI and CRO changes I did: – Moved product name above the gallery – Added sneak peek on the next image – Replace paragraphs with bullets P.S - Educational, visual PDPs build trust and make it easier for shoppers to buy. Remember, most visitors get distracted easily, so you want to really optimize the first 2 folds. If you want to get a CRO / UX audit for your store, reach out to me on DM. #conversionrateoptimization

The future of search goes way beyond page one rankings. Gone are the days where keywords and backlinks are all you need for traffic. It's now all about AI visibility. According to a study by iPullRank, AI search adoption is growing 4% day-over-day. At this rate, 100% of users will interact with AI search by September. While most sites are completely invisible to AI platforms… Here's your chance to prepare your site for this shift: 1. Content structure for AI readability AI pulls passages, not entire pages. Write content so each paragraph can work as a standalone answer: - Use clear, direct language (avoid fluff and filler) - Structure with logical H2 and H3 headings - Answer questions completely in single paragraphs - Include key insights at the top of articles - Back up claims with credible data sources 2. Build authority signals AI platforms favor content from trusted, expert sources: - Include author credentials and bios - Showcase industry certifications - Add case studies with real data - Cite authoritative sources - Display customer reviews prominently 3. Optimize for Natural Queries LLMs pull direct answers from content that mirrors how real people speak. - Target long-tail, question-style keywords that mimic how people talk to ChatGPT or voice assistants - Add short Q&A sections so AI can easily pull your answers - Phrase headers like real questions (e.g. “How long does SEO take?”) - Use conversational language in your answers 4. Brand web mentions Google verifies trust by checking how often your brand gets mentioned across the web. The more your brand appears in credible sources, the more Google trusts your content, the higher your chances of getting cited in AI Overviews and Gemini. Focus on getting featured in: - High-authority industry publications - News outlets and press coverage - Forums and community discussions - Expert roundup articles 5. Technical foundations If AI can't crawl your content, you're invisible: - Check robots.txt allows AI crawlers - Submit updated XML sitemaps - Monitor page load speeds - Use clean, structured HTML - Add schema markup where relevant 6. Monitor your AI visibility Track where your brand appears across AI platforms: - Search for your company in ChatGPT, Gemini, and Copilot - Check if descriptions are accurate and complete - Set up GA4 tracking for AI referral traffic - Use tools like Surfer’s AI Tracker to monitor AI mentions Start with an audit of: - Your current visibility across AI platforms - Content gaps compared to competitors - Technical issues blocking AI crawlers Then create your 90-day strategy to capture this growing traffic source. The data is clear - AI search adoption is growing 4% day-over-day. Prepare now, or be invisible in a few months time.