
Google’s AI Mode Cites Itself, Persistent Search Looms, and GEO Tools Mature: What Our Agency Is Doing Now
This week’s SEO developments centre on a single theme: the search interface is fragmenting fast, and brands that fail to adapt their visibility strategy across AI-generated results, YouTube placements, and autonomous search agents will lose ground. Here is what our team is tracking and acting on right now.
Key Takeaways
- Google is the second most-cited domain inside its own AI Mode, primarily through Business Profiles and Product Knowledge Panels.
- Liz Reid has outlined a vision for persistent, autonomous search that runs continuously in the background on behalf of users.
- New research shows the category language customers use directly shapes which brands AI engines recommend.
- A fresh crop of generative engine optimisation (GEO) tools now lets agencies monitor LLM mentions at scale.
- YouTube ad campaigns can deliver strong returns on modest budgets when audience signals, placement separation, and CPM benchmarks are handled correctly.
Google Cites Itself as AI Mode’s Second-Largest Source
Fresh data confirms that Google-hosted content — specifically Google Business Profile cards and Product Knowledge Panel entries — makes Google the number-two cited domain in AI Mode results. For our clients, the practical takeaway is blunt: a fully optimised, regularly updated Google Business Profile is no longer optional hygiene — it is a direct ranking input for AI-generated answers.
We are now auditing every client’s Business Profile weekly, ensuring categories, attributes, product feeds, and Q&A sections are complete and current. If your profile is thin, you are handing AI Mode citations to a competitor.
Persistent Autonomous Search: What Liz Reid’s Comments Mean for Content Strategy
Google’s head of Search, Liz Reid, has discussed a concept she calls persistent search — a mode where Google continuously monitors topics on a user’s behalf and surfaces updates autonomously. A related patent describes six distinct triggers that could activate these background agents.
For content teams, this changes the calculus around freshness and topical authority. If an autonomous agent is watching a topic 24/7, static cornerstone pages alone will not suffice. We are advising clients to:
- Publish frequent, date-stamped updates within their core topic clusters.
- Structure content with clear entity markup so agents can parse changes quickly.
- Treat news-style content as a long-term SEO asset, not a throwaway format.
Category Framing Determines Which Brands AI Recommends
New research reported by Search Engine Land reveals that the way customers frame a product category in their query directly influences which brands AI models recommend. A slight shift in phrasing — say, “budget running shoes” versus “affordable trainers” — can swap one brand recommendation for another entirely.
Our team is incorporating this into keyword and entity research. We map every plausible category frame a target audience might use, then ensure client content explicitly addresses each variant. This is not traditional synonym work; it is about aligning with the precise language patterns that LLMs use to slot brands into recommendation lists.
GEO Tools Give Agencies Scalable LLM Visibility Tracking
Generative engine optimisation has moved past the experimental phase. Semrush has published a curated list of nine purpose-built GEO tools designed to monitor LLM mentions, benchmark competitors, and improve AI search presence. We have been testing several of these internally and are now rolling selected tools into our standard client reporting stack.
The ability to track whether a client’s brand appears in ChatGPT, Gemini, or Perplexity answers — and how often — fills a data gap that traditional rank trackers cannot cover. If you are not measuring LLM visibility yet, you are flying blind on a channel that is growing month on month.
YouTube Ads Still Deliver on Lean Budgets
A detailed breakdown from Search Engine Journal lays out exactly how to run a winning YouTube ad campaign without a seven-figure budget. The core principles — strong audience signals, separated placements, and transparent CPM maths — are ones we already apply for SME clients running video campaigns alongside organic search.
The key lesson: separate Shorts, in-feed, and in-stream placements into distinct ad groups. Blending them inflates reported views while masking true cost-per-engaged-view. Honest CPM benchmarking, broken out by placement, is the only way to judge real performance.
Taken together, these five developments reinforce a single operational priority for any agency serious about search: diversify visibility measurement, tighten first-party data assets like Business Profiles, and start treating AI recommendation engines as a primary channel rather than a curiosity.
Frequently Asked Questions
What is generative engine optimisation (GEO) and why does it matter for UK businesses?
GEO is the practice of optimising your brand’s content so it appears in answers generated by AI Search engines like Google AI Mode, ChatGPT, and Perplexity. It matters because a growing share of search traffic now bypasses traditional blue links, and businesses invisible to LLMs lose potential customers they never even knew existed.
How do web designers and SEO agencies prepare for Google’s persistent autonomous search?
Agencies should publish frequent, clearly date-stamped content updates within core topic areas and use structured data to help autonomous agents parse changes. Static pages alone will not satisfy a system designed to monitor topics continuously on a user’s behalf.
Why does category framing affect which brands AI recommends?
large language models categorise brands based on the specific language patterns found in their training data and live web content. If your site does not use the exact category phrases your customers type, AI models may slot a competitor into the recommendation instead.
How can small businesses benefit from Google Business Profile optimisation in AI Mode?
Google’s own AI Mode heavily cites Business Profile data when generating local and product-related answers. Keeping your profile complete — with accurate categories, attributes, products, and Q&A — directly increases the chance your business appears in these AI-generated results.





