What an SEO agent actually does
A working SEO agent runs four loops:
Loop 1 — Daily site audit. Crawls your domain, scores Core Web Vitals (LCP/INP/CLS), checks robots.txt + sitemap, finds broken internal links, flags pages with missing meta or duplicate H1s. Outputs a fix list ranked by traffic impact.
Loop 2 — Weekly keyword strategy. Pulls Search Console data, identifies queries you're 11-20 on (one-click-from-page-1), surfaces which pages need on-page work to push them up. Also crawls 3-5 named competitors and shows keyword gaps.
Loop 3 — Continuous on-page optimization. For pages the agent has been told to optimize: rewrites meta titles + descriptions, adds schema markup, suggests internal links, generates image alt text. All as proposals; you approve in a queue.
Loop 4 — Content gap closure. Finds the top 10 search terms you should rank for but don't. Drafts outlines for new pages. You approve, an outline becomes a draft, a draft becomes a published page after a final read.
Together: same outcome as a full-time SEO specialist, but on every page, every day, with full audit trail.
What an SEO agent does NOT do
Strategy decisions — what topics you want to own, what brand authority you're building, which competitors are real vs. distractions. An agent without that context will optimize the wrong things.
Outreach for backlinks — too much politics, too many edge cases, too much risk of damaging a relationship by misjudging tone.
Editorial judgment — when two of your pages compete for the same keyword (cannibalization), the agent can flag it; the merge-vs-redirect-vs-rewrite decision is yours.
Penalty recovery — if you've been hit by an algorithm update, an agent can crawl + flag the symptoms, but the diagnosis usually needs a human with experience pattern-matching against known updates.
Where SEO agents break
We've seen this in production. Three patterns:
1. Hallucinated best practices. A vanilla LLM will confidently recommend bad tactics — keyword stuffing, footer link farms, "increase keyword density to 3%". The fix is grounding: the agent has to pull from a real best-practice library (we use 250+ rows tagged by skill × industry) before making recommendations. No grounding, no trust.
2. Localized rules ignored. Agents trained on global SEO advice miss vertical specifics. Home-services SEO has different geometry than B2B SaaS SEO. Local-pack ranking factors aren't the same as topic-authority ones. Industry-tagged guidance closes this gap.
3. The "shiny new page" trap. Without scoring memories by *usefulness against client objectives*, an agent will happily generate 20 pages no one asked for. The fix is tying the brain to actual contracts and proposals — every memory and every recommendation gets scored 0..1 on "does this help accomplish what we committed to."
What grounding looks like at ANKR
Our verifier agent runs against every memory we capture and every recommendation we make. It:
1. Pulls the relevant best-practice rows (we have ~30 for SEO across all five industries we serve) 2. Asks Claude/DeepSeek: "Does this learning match accepted best practice? If not, why?" 3. Scores the memory 0..1 on quality AND 0..1 on usefulness-vs-contract-objectives 4. Auto-archives anything that consistently scores below 0.3 and hasn't been used in 30 days
The result: every SEO recommendation our agents make is traceable back to (a) the data they read, (b) the best practices they consulted, (c) the client objective they're trying to advance. If a recommendation looks wrong, you can replay exactly what the agent saw.
How to evaluate an SEO agent before trusting it
Three quick tests:
1. Can you see what it read? If the agent says "improve your meta description for /pricing," it should be able to show you the current meta, the keywords the page ranks for, the best practices it consulted, and the proposed new version. If you only see the output, you can't audit the reasoning. 2. Does it cite best practices? "Add schema markup" is generic. "Add Service schema with the served-area field because home-services local algorithm post-2023 ignores generic LocalBusiness schema [source: ANKR best-practice db, conf 0.9]" is grounded. 3. Does it ever say "I don't know"? Honest agents flag knowledge gaps explicitly. Confident-on-everything agents are the dangerous ones.
How to start
If your SEO is currently dependent on one specialist who's bottlenecked, an SEO agent is the highest-leverage agentic addition you can make. The audit work is mechanical; the strategy work isn't.