In 2026 agentic SEO is a label that covers two different jobs. The first: using AI agents that carry out parts of the SEO work on their own, from the audit to publishing. The second: preparing a site for the agents that search, compare and buy on people's behalf.
Whoever's talking about it usually means only one of the two. On Reddit there's a thread in r/Agentic_SEO that opens with exactly that question: is it SEO for agentic platforms, or using AI agents to do SEO work? The honest answer is that you need both, and that the skills overlap less than it seems.
Where the term comes from
The most quoted definition is from WordLift, June 2025: "the practice of using autonomous AI agents to manage parts of the SEO workflow that were once handled manually by humans". In the same article the authors add that it isn't "a magic button".
Since then almost every SEO tool has published its own version:
- Ahrefs (May 2026) talks about agents that "act, adapt, and recover on your behalf, not just generate text".
- Frase (March 2026) proposes five criteria: it starts from a goal rather than a prompt, covers the whole content cycle, keeps monitoring after publication, diagnoses from data, and works at the level of autonomy you choose. A tool that meets two or three of them, writes CEO Shegun Otulana, is "a good SEO tool with a chat panel attached".
- RankUp (August 2026) describes it as a goal-driven system that uses agents, tools, memory and rules.
Search Engine Land, in its guide, keeps the concept separate from GEO: "It's not AI SEO, aka Generative Engine Optimization". It's a useful distinction. GEO is about how a piece of content gets cited in generated answers. Agentic SEO is about who does the work, or who you do it for.
First meaning: agents that do SEO work
An agent, in Anthropic's definition, is a system where the model "dynamically directs its own processes and tool usage". A workflow, by contrast, follows paths written in advance in code. The difference matters: most of what's sold today as an "SEO agent" is a workflow with a prompt in the middle.
A real SEO agent is given a goal ("get these ten industry keywords onto page one") and decides for itself what to do: it queries Search Console, reads competing pages, writes, publishes, and checks again two weeks later.
We use one on our own blog. An editorial agent runs three times a day, at 3am, 6am and noon. On each run it picks the first unassigned row in the editorial plan, checks on WordPress that the article doesn't already exist, locks the row to avoid duplicates and publishes a single piece. Our Italian blog published 56 articles in August 2026 and 168 in September. The process is described in detail in AI agents for SEO: our workflow.
What an agent does well, in our experience:
- repetitive work with clear rules: meta descriptions, internal link checks, sector pages with a fixed structure;
- comparing sources: reading ten competing pages and finding the subtopics they share;
- checks after publication, if it has access to the data.
What it does badly: deciding what not to publish, choosing which client data can be shown, noticing that a keyword cannibalises an article written a year earlier. Those decisions are still made by a person.
Second meaning: SEO for agents that search and buy
The second meaning is about visitors. Part of a site's traffic is no longer people clicking, but agents browsing on their behalf.
The numbers are starting to show. According to HUMAN Security, in July 2026 76% of agent activity was product browsing and research. Among agentic browsers, Perplexity Comet generates 47.1% of the agentic traffic measured, Claude in Chrome 24%. Akamai found that 47.9% of AI bot traffic on its network goes to commerce sites. Patrick Sullivan, its CTO of Security Strategy, sums it up: "the customer is increasingly an AI agent".
We see it on our own site too. Between 31 August and 27 September 2026 the visilay.com logs recorded 2,689 requests from GPTBot and 1,250 from OAI-SearchBot, against 1,355 from Googlebot. The breakdown by bot is in the article on AI crawlers.
Optimising for an agent means concrete things:
- clean, semantic HTML, because many agents read the page's accessibility tree rather than how it looks. OpenAI says so in its FAQ for publishers: its browser "uses ARIA tags, the same labels and roles that support screen readers";
- forms and buttons that can be completed without hidden steps;
- a robots.txt that doesn't block AI search bots by mistake;
- structured data and readable prices, if you sell online.
The full checklist is in the guide to SEO for AI agents. If you sell online, the piece on agentic commerce explains what's already live and what isn't.
How it differs from SEO, AEO and GEO
| Discipline | Who you optimise for | Result you measure |
|---|---|---|
| SEO | People searching on Google | Rankings, clicks, conversions |
| AEO | Engines that answer directly | Presence in answers, featured snippets |
| GEO | Models that generate answers citing sources | Citations and mentions in AI answers |
| Agentic SEO (1) | No one: it's a way of working | Time saved, errors, volume produced |
| Agentic SEO (2) | Agents that browse and buy | Actions completed by agents, agentic traffic |
The acronyms overlap to a large extent. Google's Danny Sullivan said so at WordCamp US in August 2025: "Good SEO is good GEO, or AEO, AIO, LLM SEO". The full map of the acronyms is in SEO, AEO and GEO: the differences and what to do.
What agents can already do, and what they can't
The tools exist, but they're young and they change every quarter.
- ChatGPT Work, launched by OpenAI on 9 July 2026, replaces the old ChatGPT agent, which is no longer available.
- Claude in Chrome has been available on all paid plans since 26 August 2026: it reads pages, clicks and fills in forms.
- Chrome auto browse with Gemini has been in preview since 28 January 2026, only in the United States and for AI Pro and Ultra subscribers. Gemini in Chrome reached UK desktop users on 14 July 2026, but Google's announcement doesn't mention auto browse.
- ChatGPT Atlas, OpenAI's browser, stopped working on 9 August 2026.
In June 2025 Gartner predicted that over 40% of agentic AI projects will be cancelled by the end of 2027, because of cost, unclear value or risk. It also estimates that out of thousands of vendors only about 130 offer real agents. The rest is "agent washing".
For a UK SME the most useful figure is a different one. In the McKinsey State of AI 2026 report, the share of large companies scaling agents went from 27% to 40% in a year. Among smaller organisations it's stuck at 22%. In the UK, according to the ONS, 35% of businesses with 10 or more employees used at least one AI technology in June 2026, against 49% of those with 250 or more.
How to start in five steps
- Check your server logs. Before optimising for agents, see whether they're arriving and which ones. Many hosting providers give access to the raw logs from the control panel.
- Check robots.txt. Decide which AI search bots to let in. Blocking OAI-SearchBot, for example, takes the site out of ChatGPT search answers.
- Pick a single process to hand to an agent. A repetitive one, with written rules and a result that's easy to check. Meta descriptions for a catalogue are fine, strategy isn't.
- Put a human check before publication, at least for the first month. We still spot-check even after months.
- Measure what changes. Time spent, errors found, traffic and citations in AI answers. The guide to AI visibility explains how.
The step people skip most often is the fifth. An agent that publishes a lot but brings in neither citations nor enquiries has only moved the cost from the writer to the reviewer.
The mistakes to prevent
An agent that publishes on its own can publish mistakes on its own. The three we see most often:
- client data shown without permission, because the agent finds it in documents and treats it as evidence;
- articles that cannibalise existing pages, because the agent doesn't check what's already on the site;
- out-of-date facts, because the model remembers them from training instead of checking them.
The fix is simple and dull: written rules, automatic checks before publication, a person who reads a sample. We have about ten rules, including anonymising non-public data and checking WordPress before every article.
Recommended reading: AI agents: what they are, how they work and examples for businesses.
Frequently asked questions
It's the use of AI agents that carry out parts of the SEO work on their own, such as audits, writing and checks. The term is also used for optimising websites for AI agents that browse, compare products and buy on people's behalf.
No. Agents handle repetitive tasks with clear rules well, but setting priorities, deciding what not to publish and handling client data still need a person. Gartner estimates that over 40% of agentic AI projects will be cancelled by the end of 2027.
GEO optimises content so that it gets cited in AI-generated answers. Agentic SEO is about who does the work (agents instead of people) or who the site is optimised for (agents that browse and act, not just models that cite).
From the server logs. Agents and crawlers declare a user agent, for example ChatGPT-User, OAI-SearchBot, PerplexityBot or Claude-User. In GA4, human traffic coming from AI answers shows up in the AI Assistant channel, introduced in May 2026.
