How do you get started with agentic web optimization for your brand?

Agentic web optimization is a loose label, and clients use it to mean two things. Some want their website to work well for AI agents, the bots and assistants that fetch pages and answer questions for people. Others want AI agents to run the optimization work. We treat them as one program with an order of operations, because the first has to be in place before the second pays off.

Start with access, not content

The most common problem we find in a first audit is not weak content. It is that agents cannot get to it.

AI products use separate bots for separate jobs. OpenAI documents OAI-SearchBot for appearing in ChatGPT search results, GPTBot for training use, and ChatGPT-User for fetches made when someone asks. Anthropic, Perplexity, Google, Meta and Mistral run their own, including ClaudeBot, Claude-User, Claude-SearchBot, PerplexityBot, Perplexity-User, Google-Agent, GoogleOther, Meta-WebIndexer, Meta-ExternalAgent, Meta-ExternalFetcher and MistralAI-User.

Each client has to decide which to allow. Some publishers block training but allow search fetching. Others allow everything. Both are legitimate. The mistake is leaving the decision to an old robots.txt rule, a CDN bot-protection default or a firewall that returns errors to anything unfamiliar.

We check the robots.txt file, the CDN and firewall settings, and the real server responses bots receive. We do the last one with logs, not guesses.

Make the site easy to read

Agents read what they can fetch. We look for content that appears in the initial HTML, headings that describe the section beneath them, clean internal links, and structured data that matches what the page actually says. Google's Search Central documentation on structured data is the reference we use, and its guidance on AI features in Search points back to the same fundamentals as normal search eligibility, not a separate markup scheme. We also make sure Bing Webmaster Tools is set up, because Copilot relies on Bing's index.

Measure before you optimize

We build a prompt set with the client, usually 50 questions their buyers ask, grouped by topic. Then we track them daily across engines so we can see whether changes help. Without that baseline, every improvement is a story.

The platform we run it on

We run client programs on Promptwatch, and we use it for each stage.

For access, Agent Analytics provides real-time, IP-verified AI crawler logs, which means spoofed user agents are filtered out. We see which bots reach which pages, error tracking with explanations, and a crawl-to-citation path with a citation rate per page. These logs start on Professional ($245 a month) for brands and are included on every agency plan.

For readiness, the free Agentic Readiness Check gives a quick first pass, and the robots.txt and llms.txt generators help with drafts that we then review by hand. Weekly site audits run 21 checks and show what changed since the last run.

For measurement, daily prompt tracking, citation analytics and Search Insights show how AI answers connect to Google Search Console and Bing Webmaster traffic.

For action, the Action Board produces a prioritized list weekly, with a Discovery agent suggesting up to five evidence-backed actions per run. On Business, the Content Agent plans, writes and publishes against visibility gaps. Clients choose a review inbox or a hands-off mode with a quality check, and we steer most clients toward the review inbox at the start.

Where agents should and should not act alone

Reasonable to automate: weekly reporting, site audits, prompt trend monitoring, drafting content briefs, refreshing outdated pages with suggested diffs.

Keep human review on: anything that publishes under the brand's name, claims about prices or features, and legal or compliance wording.

We let clients widen the automation as they see the quality. Trust gets built with evidence, not slides.

Our first-month order

1. Audit robots.txt, CDN rules and bot error rates.
2. Fix blocks and errors, and decide the policy for each bot.
3. Submit sitemaps to Search Console and Bing Webmaster Tools.
4. Write and load the prompt set, and record a baseline.
5. Pick five actions from the Action Board and assign owners.
6. Decide which tasks agents may do on their own.

What this will not do

It will not guarantee that an assistant recommends your brand. It makes you reachable, readable, measured and improving, and it gives you evidence to judge what works. That is a better position than most brands are in today.

If you want a no-cost way to begin, run the Agentic Readiness Check and start on the free Explore plan of Promptwatch.