AI search optimization for SEO, AEO and GEO.
Agentic SEO is search optimisation run by autonomous AI agents: continuous site audits, on-page fixes, internal-link sculpting and refreshes for pages that have slipped. The same system covers answer engine optimization (AEO) and generative engine optimization (GEO), so you rank in Google and get cited by AI assistants. It is software that does the work, not an agency that reports on it.
Botonomy runs this agent on its own site — 200+ issue types across 24 categories, every crawl
Reviewed by Martin Kelly, founder of Botonomy Updated
What it actually does.
Continuous full-site crawl monitoring with auto-prioritised P1–P4 issue tickets — delivered ready to review
On-page metadata, sitemap, and JSON-LD schema generation across every page on the site
Internal link equity sculpting — PageRank-style analysis across your full link graph
Content decay detection — finds underperforming pages and briefs the refresh automatically
Competitor keyword gap analysis + opportunity scoring on demand, across your top rivals
Core Web Vitals monitoring (LCP, INP, CLS) with field + lab data root-cause diagnosis
AEO: answer-first rewrites, question-led headings and structured data on the pages that should own a question
GEO: a tracked set of buyer questions checked across the major AI assistants, showing where you are cited and where a competitor is
AI crawler visibility checks, so the content an assistant needs is in the page it actually receives
Two ways to run this function.
The difference isn't effort. It's whether the sequence holds when nobody is watching.
- Manual quarterly audit by a junior SEO — $2,500–$10,000 per pass (industry pricing surveys)
- Weekly metadata sweeps in spreadsheets
- Monthly competitor reports — already stale by publish
- CWV reviewed only when something breaks
- Continuous monitoring — nothing waits for the next quarterly review
- Auto-generated metadata across the full site, on every crawl
- Real-time competitor delta detection
- CWV regression alerts before users notice
Operate, from $1,895 a month.
▸ 03 - Pricing
Pick the stack that fits your site
Flat, transparent pricing: a one-time setup plus a monthly fee. The agentic SEO system ships on every tier, with AEO and GEO included; the higher tiers add content volume, paid ads and full-stack operations.
Operate
$1,895/mo
+ $495 one-time setup · live in 1 business day
The agentic SEO foundation: continuous technical audits, on-page fixes, internal link sculpting, AI search visibility tracking, content strategy, plus 50 AI-generated articles a month.
- Up to 5,000 URLs
- Automated full-site crawl monitoring + auto-prioritised fix tickets
- On-page metadata, JSON-LD schema & internal-link sculpting
- 50 AI-generated articles / month
- Content-decay detection + competitor gap analysis
Accelerate
$4,500/mo
+ $1,495 one-time setup
Full-stack agentic operations across SEO, content and paid — for larger sites and faster content velocity.
- Up to 50,000 URLs
- Everything in Operate
- 100 AI-generated articles / month
- Google + Meta ads management
- Backlink audit + internal-link optimisation
Deployable
$2,500/mo
+ $15,000 one-time deployment
Your team's complete autonomous marketing department — SEO, content, paid, creative and outbound, with custom integrations.
- No URL cap
- Everything in Accelerate
- Outbound sales systems + AI creative production
- CRO + A/B testing
- Weekly strategy calls · P1 SLA · custom integrations
For context: a traditional SEO agency retainer commonly runs $2,500–$10,000+/mo for a quarterly audit and a monthly report, freelance SEO is $75–$200/hr, and DIY tooling (Ahrefs + Semrush + GSC) is $200–$500/mo with the execution still on you. Botonomy is continuous execution from $1,895/mo.
▸ 04 - The category
What is Agentic SEO?
Agentic SEO is search-engine optimisation run by autonomous AI agents — software that sets a goal, audits your site, generates the fixes and executes continuously — rather than a dashboard that only reports, or a consultant who works in monthly batches.
The shift is from recommendation to execution. An SEO tool surfaces issues. An AI assistant drafts a suggestion when you prompt it. An agentic SEO system runs the whole loop on its own — perceiving the state of your site, planning the highest-impact fixes, acting on them, and verifying the result before it loops again.
That autonomy is why coverage and consistency compound. The agent doesn't wait for a quarterly review or for a human to open a dashboard — it catches the broken hreflang at 2 a.m., the content-decay pattern across 40 posts, and the competitor gap that opened yesterday, and it moves on them the same day.
▸ 05 - One system, three surfaces
What are AEO and GEO, and how do they fit with SEO?
AEO (answer engine optimization) gets your page chosen as the direct answer. GEO (generative engine optimization) gets your brand cited when an AI assistant writes the answer itself. SEO gets you ranked. They share one foundation, so one system should run all three.
Search no longer ends at ten blue links. The same question can be answered by a ranked page, by an answer box above the results, or by an assistant that reads several sources and names two of them. A page that ranks well can still be missing from the other two, because each surface rewards something slightly different.
AI search optimization is the name for doing all three together. The technical health work is shared: if a crawler cannot read the page, nothing downstream happens. On top of that, AEO needs a clear answer near the top of the page, and GEO needs facts stated plainly enough to be quoted and a brand that is mentioned in the places assistants read.
| SEO | AEO | GEO | |
|---|---|---|---|
| Stands for | Search engine optimization | Answer engine optimization | Generative engine optimization |
| Where you show up | Ranked results | Answer boxes and AI Overviews | Answers written by AI assistants |
| What wins | Relevance, authority, technical health | A direct answer in the first lines | Quotable facts and brand mentions |
| How it is measured | Rankings, clicks, impressions | Answer placements held | How often you are cited or recommended |
| Shared foundation | Crawlable, fast, well structured pages | Same | Same |
What the system does for each
- SEO: continuous crawls, prioritised fixes, internal linking and refreshes for pages that have slipped.
- AEO: answer-first rewrites, question-led headings and structured data on the pages that should own a question.
- GEO: a tracked set of buyer questions, checked across the major assistants, so you can see where you are cited, where a competitor is, and which page should win each one.
▸ 06 - What it looks like
Every audit, in one place
The crawl, the classified issues and the fix queue are kept run over run, so this month can be compared with last month instead of starting again.
▸ 07 - Where it fits
Traditional SEO vs. AI tool vs. AI assistant vs. agentic SEO
Four ways to run SEO today. The difference isn't intelligence — it's autonomy: how much of the loop the system closes without you.
| Traditional SEO | AI SEO tool | AI assistant | Agentic SEO | |
|---|---|---|---|---|
| Who does the work | Human analysts | You, with data | You, with drafts | Autonomous agents |
| Output | Reports & recs | Dashboards & alerts | Suggestions on request | Executed fixes as tickets |
| Cadence | Monthly batches | When you log in | When you prompt it | Continuous, on its own |
| Coverage | Sample of pages | Whole site (data only) | Whatever you paste | Whole site, every crawl |
| Human role | Everything | Analysis & action | Editing & action | Review & strategy |
The dividing line
Tools and assistants stop at recommendation. Agentic SEO closes the loop to execution — it decides what matters, does the work, and checks the result — which is why coverage and consistency compound instead of waiting on a human to act.
▸ 08 - The basics
How is an agentic SEO system different from an AI SEO agency?
An AI SEO agency sells you people who use AI tools. An agentic SEO system is the software itself: autonomous agents that crawl, diagnose, fix and re-check on their own, which Botonomy either runs for you or installs in your own stack. You are buying a system that keeps working, not hours on a retainer.
Traditional SEO agencies assign analysts, strategists, and copywriters to your account. You get a quarterly audit, a monthly report, and a shared channel. An AI SEO agency does the same work faster with AI tools. An agentic system replaces most of that execution layer with software that crawls your site continuously, diagnoses issues in real time, generates the fixes (metadata, schema markup, internal-link recommendations, content-decay briefs), and delivers them as prioritised tickets your team can review and ship.
The distinction matters because speed and coverage compound. A human analyst might audit 50 pages in a day; Botonomy's agent runs full crawls of your whole site, cross-referencing Search Console field data, backlink signals, and Core Web Vitals metrics in a single pass. It catches the broken hreflang tag at 2 a.m., the content-decay pattern across 40 blog posts, the competitor keyword gap that opened yesterday — all before your team's morning standup.
Agentic SEO system vs SEO agency vs in-house team
An agency's value is human judgement: strategy, editorial taste, relationship-driven link building. A system's value is execution that does not stop. The best model combines both: autonomous agents handle the high-volume, repeatable work (technical SEO, on-page optimisation, programmatic SEO, entity optimisation, schema.org markup) while a senior operator sets strategy and reviews output. That's the Botonomy model — SEO run as one function of a broader agentic marketing practice spanning content, paid, and outbound.
| Dimension | Botonomy (agentic SEO system) | SEO agency | In-house SEO team |
|---|---|---|---|
| Audit cadence | Continuous & automated | Quarterly or monthly | Ad-hoc / tool-dependent |
| Monthly cost | From $1,895 | $2,500–$10,000+ | $8,000–$15,000 (salary + tools) |
| Coverage | Full site, every crawl | Sample-based | Depends on bandwidth |
| AEO / GEO capability | Built in (AI Overviews, ChatGPT, Gemini, Perplexity) | Emerging / add-on | Requires upskilling |
| What you own at the end | The data on every plan; the software on Deployable | The reports | The team |
When a system is the wrong buy
Consider an agentic system when your site has outgrown what a single in-house SEO can audit by hand, when you need continuous coverage (e-commerce catalogues, programmatic pages, multi-market sites), or when you'd rather your team spent their time on strategy than on execution. You keep the people; the system takes the repetitive work. However, it is the wrong buy when your bottleneck is strategy, brand positioning or editorial taste rather than execution volume. That is judgement work, and a system that claims it is selling something it cannot do. It is the exception we flag on every discovery call.
▸ 09 - Compliance
Is AI-generated SEO content against Google's guidelines?
No. Google's position has evolved significantly. In 2022, Search Advocate John Mueller noted in a Google Search Central office-hours session that AI-generated content fell under the "automatically generated content" clause of Google's Webmaster Guidelines — and was therefore against the rules. That guidance was accurate at the time.
In February 2023, Google Search Central published updated guidance, "Google Search's guidance about AI-generated content," which reversed the blanket prohibition. The key line: "Appropriate use of AI or automation is not against our guidelines." Google clarified that its spam policies target content created primarily to manipulate search rankings — regardless of whether a human or a model wrote it. However, the emphasis shifted to E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) and whether the content is genuinely helpful.
Then in March 2024, Google's core update introduced the scaled content abuse policy, replacing the older "automatically generated content" category. The new policy targets mass-produced pages — AI-generated, human-written, or a mix — that add no original value. Google's Search Liaison reiterated that the production method is irrelevant; what matters is quality and intent.
How Botonomy stays compliant
Botonomy's SEO agent doesn't mass-spin pages or build content farms. Every output stays within Google's guidelines because:
- Human review layer — every content brief, metadata change, and schema addition is delivered as a ticket for your team to review and approve before it goes live.
- Originality by design — the agent's outputs (technical diagnoses, internal-link recommendations, competitor-gap analyses) are grounded in your site's unique crawl data. They can't be templated because they're derived from your specific URL graph, your Search Console performance, and your competitive landscape.
- Intent-matched, not volume-matched — fixes are prioritised against real user intent (queries from Search Console, SERP-feature gaps), not generated to capture long-tail keywords at scale.
- E-E-A-T signals built in — schema.org markup, author attribution, internal-link context, and entity optimisation are standard outputs, strengthening the expertise and authority signals Google evaluates.
▸ 10 - By the numbers
The numbers behind the automated crawl
What "autonomous" looks like in practice — every figure here is something the agent does on its own, continuously, in the background. In our own August 2026 self-audit, the agent crawled 66 pages twice (mobile first, then desktop), classified 48 distinct issue types, prioritised one P1, and delivered the full audit deck for $2.74 in API cost. One evidence step errored and was skipped — the deck flagged the gap instead of hiding it: when a data source is unavailable, the agent reports unavailable, never zero.
Always-on
Full-site crawl monitoring
200+
Issue types across 24 categories
48h
To your first full audit
24/7
Core Web Vitals monitoring
▸ 11 - How it runs
The agentic loop, on repeat
Agentic SEO is a closed loop, not a checklist — the agent perceives, plans, acts, and verifies its own work, then goes again.
- 1
Crawl
An automated crawler walks every URL on your site — rendering JavaScript, following redirects, capturing response codes, indexing every on-page element. Googlebot-grade coverage: mobile-first, desktop second.
- 2
Diagnose
The agent cross-references crawl data with Search Console field metrics, Core Web Vitals results, and competitive backlink signals. Issues are prioritised P1–P4 by impact on organic traffic and crawl budget.
- 3
Fix
For every issue, the agent generates the specific fix — a rewritten title tag, a missing JSON-LD schema block, an internal-link insertion, a content-decay refresh brief — and lands it as a ready-to-review ticket in your project tracker, not just a suggestion.
- 4
Verify
After a fix ships, the agent re-crawls the affected URLs to confirm the issue actually cleared — the canonical resolves, the schema validates, the Core Web Vital moves — so nothing is marked done on faith. Regressions loop straight back into the queue.
- 5
Report
A concise digest hits your inbox: what changed, what was fixed, what needs human attention. Trend reports track keyword movement, AI Overview appearances, and competitor gap shifts — no dashboard login required.
Your stack, read and written by the agent.
The agent works inside the tools you already pay for. Read-only wherever read-only is enough, and every write is logged.
- Screaming FrogHeadless crawl + issue export
- Search ConsoleCoverage + query data
- Analytics 4Traffic weighting on issues
- AhrefsBacklink profile by URL
- MozAuthority benchmarking
- ClickUpPrioritised fix tickets
Questions you'll probably ask.
What is agentic SEO?
Agentic SEO is SEO run by autonomous AI agents that set a goal, audit your site, generate the fixes, and execute them continuously — perceive, plan, act, verify, repeat — rather than a tool that only reports or a consultant who works in monthly batches. It's the execution layer, not another dashboard.
How is agentic SEO different from an AI SEO tool?
A tool surfaces data and waits for you to act; an agentic system acts. Botonomy's SEO agent runs the crawl, prioritises the issues P1–P4, generates the specific fixes, and delivers them as ready-to-review tickets — continuously, without you opening a dashboard. Tools stop at recommendation; agentic SEO closes the loop to execution.
How is an agentic SEO system different from an AI SEO agency?
An AI SEO agency sells people who use AI tools, billed as a retainer. An agentic SEO system is the software itself: agents that crawl your site, diagnose issues, generate the fixes and hand them off as tickets, continuously. Botonomy runs that system for you on Operate and Accelerate, or installs it in your own infrastructure on Deployable, with a senior operator setting strategy and reviewing output.
What is answer engine optimization (AEO)?
Answer engine optimization is the work of getting your page chosen as the direct answer to a question, in places such as featured snippets and Google AI Overviews. It depends on a clear answer in the first lines of the page, question-led headings and accurate structured data. The system applies those to the pages that should own a question.
What is generative engine optimization (GEO)?
Generative engine optimization is the work of getting your brand cited or recommended when an AI assistant such as ChatGPT, Gemini, Claude or Perplexity writes its own answer. It depends on facts stated plainly enough to quote, pages an AI crawler can read, and your brand being mentioned in the sources assistants rely on.
Do SEO, AEO and GEO need separate programs?
No. They share one foundation: pages that can be crawled, understood and trusted. Running them separately means three audits of the same pages and three sets of conflicting edits. Botonomy runs them as one system, with one fix queue and one report.
How do you measure AI search visibility?
By asking the questions your buyers ask and recording who gets cited. A set of buyer questions is agreed with you, each mapped to the page that should win it, then checked across the major AI assistants on a schedule. A check that fails to run is reported as no data, never as not cited.
Is AI-powered SEO compliant with Google's guidelines?
Yes — when it's done right. Google's position (Google Search Central) is that automation is fine as long as the output is genuinely helpful and not spam; it penalises low-effort auto-generated content, not AI assistance per se. Botonomy's agents don't mass-spin pages — they audit, diagnose, and produce targeted improvements (metadata, schema, internal links, content briefs) that a human reviews before publish. Every change is grounded, intentional, and tied to a real issue. That's squarely inside Google's guidance.
How much does AI search optimization cost?
Botonomy starts at $1,895 a month on the Operate tier (sites up to 5,000 URLs), with SEO, AEO and GEO included and continuous monitoring rather than a one-time pass. For comparison, a one-off technical SEO audit from an agency runs roughly $2,500 to $10,000 (per published industry pricing surveys), and agency retainers commonly sit at $3,000 to $10,000 or more a month.
What does the Botonomy SEO system actually do?
It runs full crawls of your site, diagnoses technical issues (broken links, missing schema, thin content, Core Web Vitals regressions) and classifies them P1–P4 by traffic impact, generates the specific fixes as ready-to-review tickets, and sends a concise digest of what changed. It also tracks competitor keyword gaps and flags content-decay opportunities automatically.
How is this different from an SEO tool like Ahrefs or Semrush?
Tools surface data; an agent acts on it. Botonomy's SEO agent runs the audit, prioritises the issues, generates the fixes, and tickets them to your dev team — all autonomously. You don't log in to look at dashboards; the agent shows up with the work done.
What does the agent need from us to get started?
Read-only access to Google Search Console, GA4, and your CMS (or hosting). Setup takes ~1 business day. The first full audit lands within 48 hours.
Does this replace our SEO team?
No. The agent removes the repetitive work — crawls, audits, metadata generation, link analysis — so your team can focus on strategy, content quality, and editorial direction. We empower; we don't replace.
How big a site can the agent handle?
Up to 5,000 URLs on Operate, up to 50,000 on Accelerate, and unlimited on Deployable. The crawl engine scales horizontally.
What if our site has unusual technical setup (JS framework, headless CMS)?
We handle SPAs, headless commerce, and JS-heavy sites — the crawler renders JavaScript and the on-page agent can target API-driven content. We'll scope the integration during onboarding.
They share the same memory.
Start with the audit.
Thirty minutes on a call, and you leave with the priority fix list whether or not we work together.