James Dooley and Kasra Dash discuss the best digital marketing strategies for tree surgeons looking to grow in 2026. The conversation covers brand SEO, AI visibility, Google Business Profile optimisation, local SEO, organic SEO, social media marketing, PPC, paid social ads, AI platform advertising, Reddit mentions, review generation and tradesman websites. They explain why tree surgeon companies need to track profitability, lead quality, KPIs and return on ad spend before scaling any campaign. The discussion also highlights how strong branding improves conversion rates, while diversified lead sources reduce risk because tree surgeons should not depend on one channel. FatRank and PromoSEO are mentioned as performance-based lead generation options for UK companies. This video gives tree surgery businesses a practical framework for generating enquiries, improving online visibility and using SEO, AI and paid marketing more effectively in 2026.

James Dooley and Kasra Dash discuss the best digital marketing strategies for surveyors and surveying companies looking to grow in 2026. The conversation covers brand SEO, AI visibility, local SEO, Google Business Profiles, PPC, organic SEO, paid social ads and lead generation strategies. They explain why surveyors need to track KPIs, return on ad spend and lead profitability before scaling campaigns. The discussion also explores how AI platforms like ChatGPT, Claude, Gemini and Perplexity are influencing digital marketing and why AI SEO, GEO and LLM optimisation are becoming more important for local businesses. They also cover the pros and cons of PPC, the value of organic social media, and how third-party lead generation companies like FatRank and Promo SEO can help generate enquiries. This video is aimed at surveyors wanting more leads, stronger online visibility and scalable digital marketing systems in 2026.

James Dooley and Jabez Reuben discuss how listical link building can help brands get cited inside Claude AI and other LLMs like ChatGPT, Gemini and Perplexity. The conversation explains how structured comparison articles, competitor mentions and entity-based SEO help build consensus signals that influence AI search visibility. Jabez shares how Google indexing still plays a major role in Claude citations and why businesses need multiple listicles, guest posts and comparison pages rather than relying on one article. The podcast also covers robots.txt checks, LLM crawler access, semantic SEO, content structuring, FAQs, comparison tables and footprint reduction strategies. They explain how local businesses with strong Google Business Profiles and reviews can achieve faster AI citations. This video is aimed at SEO professionals, link builders and brands looking to improve AI visibility and organic search rankings in 2026.

James Dooley and Jabez Reuben discuss how listicle link building helps brands rank and get cited inside ChatGPT and other LLMs. The conversation explains how AI models use query fan-out techniques to retrieve information across multiple search variations, making listicle articles highly effective for AI visibility. Jabez Reuben breaks down why brands need consistent mentions across listicles, comparison articles, reviews and deal-breaker content to build entity consensus within ChatGPT. The discussion also covers Bing search, Common Crawl, AI overviews and how different LLMs retrieve and rank sources differently. Business owners and SEO professionals can learn how strategic content placement, competitor comparisons and entity association improve AI SEO and LLM optimisation. The video gives practical insights into ranking brands in ChatGPT search results through scalable listicle link building strategies.

James Dooley speaks with Jabz Rubin about listicle link building and how it helps brands build consensus across LLMs, AI Overviews and Google organic search. The discussion explains why structured listicles work because they answer specific query variations, compare entities clearly and give AI systems faster retrieval paths. Jabz shares how effective listicles include competitors, comparison tables, media, key takeaways, FAQs, USPs, awards and supporting evidence. The conversation also covers query fan-out, entity definition, third-party corroboration, daisy chaining listicles and building brand coverage through relevant publications. A key outcome is that brands should not rely on one guest post or duplicated press release content. They need consistent variation across niches, regions and categories because consensus grows from repeated, trusted and well structured references over time.

This video explains the best social media platforms to rank in Google using parasite SEO. James Dooley and Jesper Nissen break down daily posting strategies, content reuse and how Google evaluates titles because indexing depends on relevance and structure. Jesper explains that the first seven to 12 words act as the SEO title, so changing them across platforms increases visibility because Google avoids duplicate titles. The discussion highlights named entities, indexing behaviour and AI overview citations because multiple assets can rank together. Facebook, X and LinkedIn rank best because they have strong authority and frequent crawling. The strategy focuses on scale, consistency and controlled variation because that drives multiple page one positions.

This video explains how to rank LinkedIn statuses in Google Search using parasite SEO. James Dooley speaks with Jesper Nissen about why LinkedIn posts can rank because LinkedIn is a high-authority domain with keyword-rich URLs. Jesper explains that standard LinkedIn status updates often index more reliably than LinkedIn Pulse articles, which can be harder to get indexed despite strong ranking potential. He highlights the importance of putting the target keyword in the first seven to 12 words because Google often uses that text as the SEO title. He also warns against using hashtags on LinkedIn because Google may treat them as the SEO title instead. The discussion covers indexing, redirected post URLs, AI overview citations and engagement signals because these factors affect how LinkedIn posts appear in Google.

This video explains how LinkedIn status posts rank in Google search because the platform uses keyword-rich URLs and strong domain authority. Jesper Nissen explains that the first 7 to 12 words define the ranking keyword, while hashtags should be avoided because Google treats them as the SEO title. The discussion covers indexing methods, LinkedIn URL structure and why engagement does not affect rankings. It also highlights why LinkedIn posts appear frequently in AI overviews because Google can clearly extract relevance from both content and URL signals.

This video explains how to rank Instagram posts in Google using simple SEO principles. James Dooley and Jesper Nissen show that Instagram content indexes automatically because Meta opened crawl access, which allows posts to appear in search results without backlinks. They explain that rankings depend on keyword placement because Google uses the first 7 to 12 words as the SEO title. The process works consistently because indexing tools accelerate crawling and increase visibility. They also cover image SEO because text inside images and optimised file data help Instagram posts rank in Google Images. Engagement and follower count do not influence rankings because Google prioritises crawlability and keyword signals over social metrics. This gives a clear framework for using Instagram as a scalable parasite SEO channel.

This video explains how to rank tweets from X in Google using simple, repeatable SEO tactics. James Dooley and Jesper Nissen break down why tweets index quickly because X is heavily crawled, and how the first 7 to 12 words determine rankings because Google uses them as the SEO title. They show that writing exact match keywords at the start improves visibility because Google reads that text as the primary ranking signal. The video also covers X articles, indexing speed, and testing across multiple accounts because duplication increases the chance of one URL ranking. They explain that engagement signals do not impact rankings because Google prioritises crawlability and keyword placement over likes or shares. This gives a clear, practical framework for using X as a parasite SEO channel.