The ground beneath digital visibility is shifting fast. Bot traffic has overtaken human visits, AI platforms now shape brand perception, and video content is earning citations in generative search results. Our team is actively adjusting client strategies across all of these fronts. Here is what matters right now and what we are doing about it.

Key Takeaways

• Bot traffic now exceeds human traffic on the web, driven largely by AI agents crawling and indexing content.
• Video SEO is no longer optional — it directly influences visibility in Google, YouTube, and AI-generated answers.
• AI sentiment analysis gives marketers a clear view of how large language models describe their brand.
• Google’s E-E-A-T framework remains the backbone of content quality assessment, and it matters even more in a GEO context.
• A coherent digital marketing strategy must now account for AI platforms as a primary discovery channel alongside traditional search and social.

Bot Traffic Has Overtaken Human Users — Act Accordingly

This is not a forecast. It has already happened. As detailed in Semrush’s latest analysis of AI-driven bot traffic trends, automated agents now generate more web traffic than real people. The surge is fuelled by AI crawlers from platforms like ChatGPT, Perplexity, and Google’s own systems, all scraping content to power generative answers.

For our clients, this has immediate consequences:

• Server load and bandwidth costs can spike without a single extra human visitor.
• Analytics become unreliable unless bot traffic is properly filtered.
• Content that AI bots can easily parse and cite gains an outsized advantage in generative results.

We are auditing crawl logs, updating robots.txt directives, and ensuring structured data is airtight so that when bots visit, they pull the right information.

Video SEO Now Feeds Directly Into AI Citations

Video is no longer just a YouTube play. Optimised video content is being cited by AI Overviews and conversational search tools. Our team is following the practical framework outlined in Semrush’s guide to video SEO for YouTube, Google, and AI to ensure client videos carry proper metadata, transcripts, and schema markup.

Short version: if your videos lack structured titles, descriptions, and chapter markers, they are invisible to generative engines. We treat every client video asset as a potential source for AI answers and optimise accordingly.

AI Sentiment Analysis Reveals What LLMs Say About Your Brand

Most businesses have no idea how ChatGPT or Gemini describe them. That is a problem. As covered in Semrush’s marketer’s guide to AI sentiment analysis, brands can now audit what AI platforms are saying — and correct inaccuracies before they become entrenched.

We have started running AI sentiment audits for clients in competitive sectors. The process is straightforward: query major LLMs about the brand, log the responses, identify factual errors or negative framing, then publish authoritative content designed to update the training data these models rely on.

E-E-A-T Remains the Quality Benchmark — Especially for GEO

Google’s Experience, Expertise, Authoritativeness, and Trustworthiness framework is not new. But its importance has intensified. AI systems pulling from Google’s index inherit these quality signals. Content that fails E-E-A-T checks gets sidelined in both traditional and generative results, a point reinforced by Semrush’s detailed breakdown of E-E-A-T and its impact on SEO.

We build E-E-A-T into every content brief: named authors with verifiable credentials, first-hand experience, cited sources, and transparent business information. This is non-negotiable.

Digital Strategy Must Now Treat AI as a Core Channel

Social, search, email, and paid media are established pillars. AI discovery is the newest one. As outlined in Semrush’s guide to building digital marketing strategies, modern plans must account for how brands appear across AI platforms, not just Google SERPs.

We are integrating GEO objectives into every client strategy document. That means optimising for citability, structuring content for machine readability, and monitoring AI platform mentions alongside traditional rank tracking.

Frequently Asked Questions

What is generative engine optimisation (GEO) and why does it matter?

GEO is the practice of optimising your content so that AI-powered platforms — such as ChatGPT, Google AI Overviews, and Perplexity — cite and surface it in their generated answers. It matters because a growing share of users now get information from AI tools rather than clicking through traditional search results.

How do web designers ensure their sites are ready for AI bot traffic?

Start by auditing server logs to understand crawl volume, then implement structured data and clean HTML so AI agents can extract accurate information. Filtering bot traffic in analytics and managing crawl budgets via robots.txt are also essential steps.

Why does E-E-A-T affect how AI platforms represent a brand?

AI models often pull from Google-indexed content, so pages that score well on Experience, Expertise, Authoritativeness, and Trustworthiness are more likely to be cited. Weak E-E-A-T signals mean your content gets overlooked in favour of competitors with stronger credibility markers.

What is AI sentiment analysis and how can marketers use it?

AI sentiment analysis involves querying large language models about your brand and evaluating the accuracy and tone of their responses. Marketers use the findings to publish corrective, authoritative content that reshapes how AI platforms describe their business.