I Have Watched This Pattern Before. It Is Happening Again With AAO.
In 2017 (some sources say 2018, but the Trustpilot Whitepaper was 2017), I coined the term Answer Engine Optimisation (AEO) - the discipline of optimising your brand to appear as the direct answer in AI-powered search systems, rather than simply ranking in a list of links. I published it on Trustpilot’s blog. The industry, by and large, ignored it.
In 2018, I hosted a series #SEOisAEO on Semrush and published articles positioning AEO as the next evolution of SEO (now deleted or rewritten). Within 18 months, the term was in widespread use. Semrush ran webinars on it. SEL covered it. Agencies added it to their service lists. The window to get ahead of the curve had closed.
I am watching the same pattern play out right now with Assistive Agent Optimisation (AAO).
The first time I saw and named what was happening before the industry realised.
In 2017, the case for AEO was clear: search engines were already generating direct answers. Google’s featured snippets, voice assistants, early chatbots: all of them resolved questions without requiring the user to choose a link. If your brand was not optimised to be the answer, it was not in the game. The link was becoming optional. The answer was mandatory.
The industry was not ready to hear it. SEO was working. Why add complexity?
Eighteen months later, a single high-profile article changed the conversation. Not because it invented anything - AEO existed, the argument was documented, the evidence was accumulating. A trusted platform gave the idea a stage, and the industry had enough experience with AI-powered search to recognise the argument was correct.
Brands that started building for AEO in 2017 and 2018 had a compounding advantage by the time the crowd arrived in 2019 and 2020. AI systems learn from accumulated, consistent signals. Early entrants had 18 to 24 months of signal depth that late entrants could not simply buy their way out of.
What happened between 2017 (with AEO) and now (with AAO).
AEO evolved into AIEO (AI Assistive Engine Optimisation, 2024) when it became clear that optimising for large language models alone, which is what GEO (Generative Engine Optimisation) addresses, was insufficient. The full operating environment is the Algorithmic Trinity: Knowledge Graphs, Large Language Models, and Search Engines. Every AI system that researches, filters, and recommends draws from all three, in different proportions depending on the platform. Optimise for one and you have a partial strategy. Partial strategies produce partial results.
AAO (Assistive Agent Optimisation, 2025) is the outermost frame. The insight behind it is architectural: every prior discipline - SEO, AEO, AIEO, GEO - describes a room. AAO is the building. If you optimise for the agent, you simultaneously optimise for the engine, the answer, and the search result. The Russian doll works in one direction only: the outer layer covers all inner layers. The inner layers do not cover the outer one.
The naming logic mirrors AEO. “Assistive” names the purpose: what the system does for the user. “Agent” names the shift: from systems that recommend to systems that act. The word that changed from AIEO is one word. That single pivot tracks the single most important shift in our industry.
The infrastructure that makes this shift concrete is already being built. Google’s triple infrastructure play - Gaia ID, Personal Intelligence, and MCP - is the foundation for precisely the kind of personalised, agent-driven transactions AAO is built to address.
On February 24, 2026, Search Engine Land published.
The article, AAO: Why assistive agent optimization is the next evolution of SEO, is written under my name and makes the case clearly. Every competing acronym covers part of the job. None covers all of it. AAO is the roof. AEO, AIEO, GEO, SEO describe rooms inside it.
I recognise this moment. This is the 2018 Semrush article. Not because SEL is Semrush, but because the structure is identical: a term coined ahead of the curve, an argument already documented and accumulated, a high-profile platform giving it a stage at the moment the industry is ready to hear it.
In 2018, the window opened when the Semrush article landed. It stayed open for 18 months before the advantage of early movers was structural rather than merely first. I expect the same dynamic here.
What the pattern of acting early predicts.
Brands and practitioners that move on AAO now, not when it is mainstream, now, will have compounding signal depth that late entrants cannot replicate by spending harder. This is not a claim about effort. It is a claim about time. AI systems accumulate confidence in entities through consistent, corroborated signals over time. Two years of consistent signal is not the same as two years of spend concentrated into six months.
The AEO parallel is precise. Brands that took AEO seriously in 2018 were not spending more than their competitors in 2020. They were spending the same, on better-established foundations, and the returns were not linear.
The same will be true of AAO. The concentration data from our platform already shows the pattern emerging: the top performers in AI citation capture are extending their lead rapidly. Early movers compound. Late entrants face an incumbent advantage built on time, not budget.
Why I am telling you this now, not in 2028.
In 2017, I published the AEO argument on Trustpilot and watched the industry take 18 months to even start to catch up. I know what it looks like when a term is correct but early. I also know what it looks like when the tipping point arrives.
The SEL article is the tipping point. The industry is already fractured across six competing terms: GEO, AEO, AIEO, entity SEO, LLM optimisation, AI SEO. The fragmentation itself is evidence that the underlying discipline is real and the naming has not settled. When naming settles, practitioners consolidate. Budgets follow. Strategies formalise.
That consolidation is beginning. AAO is where it will land, for the same reason AEO landed where it did: it names the purpose (assistive), names the actor (agent), and names the discipline (optimisation). Three words, one of which is already mainstream vocabulary. The glossary test does not require perfection. It requires that a non-specialist can process the term without a five-minute explanation. AAO passes.
What to do with the news that Assistive Agent Optimization is the present and the future.
Start with the foundation: the entity. Your brand must be understood correctly by machines before it can be trusted, and trusted before it can be recommended, and recommended before an agent will act on it. The sequence is Understandability, then Credibility, then Deliverability. The common failure is starting with the third step and wondering why it does not hold.
Audit what AI systems currently understand about your brand across the full Algorithmic Trinity. Not one platform. Not one system. The full Trinity: Knowledge Graphs, Large Language Models, Search Engines. Each one has a different picture of your brand. The gaps between those pictures are where the agent loses confidence in you and picks someone else.
Then build consistently. The advantage is time in the market, not money in the market. Start now. The window is open. It will not stay open at the same width for long.
I coined Answer Engine Optimisation (AEO) in 2017, AI Assistive Engine Optimisation (AIEO) in 2024, and Assistive Agent Optimisation (AAO) in 2025. I am the founder of Kalicube®, the Digital Brand Intelligence™ platform that has tracked 73 million brand profiles across the Algorithmic Trinity since 2015. The SEL article referenced above, AAO: Why assistive agent optimization is the next evolution of SEO, was published on February 24, 2026.
