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SEO for the era of AI agents: what to require in any website build

SEO for the era of AI agents: what to require in any website build

SEO in 2026 is about clarity for both search engines and AI agents. This practical checklist covers metadata ownership, schema, canonicals, site structure, performance, accessibility, scalable CMS models, tracking, and post-launch handover-so your next build is discoverable from day one.

SEO for the Era of AI Agents: What to Require in Any Website Build

Search is changing quickly. People still use Google, but they’re also discovering businesses through AI assistants, in-app search, maps, marketplaces, and “answer engines” that summarize the web rather than sending as many clicks.

That shift doesn’t make SEO irrelevant. It makes it more structural. If your site is difficult for machines to interpret-unclear page purpose, inconsistent URLs, missing metadata ownership, weak internal linking-then both traditional search engines and AI agents struggle to surface you accurately.

At Jensen Technologies, we’ve been building websites for many years, and we’ve seen the same issue repeat: teams invest in a new site and only later discover they need a second project to “fix SEO.” The best time to avoid that is during the build.

Below is a practical, non-technical checklist you can include in any brief, proposal review, or vendor conversation.

1) Define ownership of content and metadata (before development starts)

Ask: Who controls the information that search engines and AI systems read?

  • Page titles and meta descriptions: Where are they edited, and who can change them?
  • Open Graph/social sharing: Do pages have share images and correct titles for LinkedIn and other platforms?
  • Redirect management: Where do redirects live (code, CMS, hosting), and who can update them without a developer?

If ownership isn’t clear, metadata gets hard-coded, duplicated, or forgotten during content updates.

2) Require a schema (structured data) plan-not “we can add it later”

Structured data helps systems understand what a page is, not just what it says. That matters for search features and for how AI agents interpret your site.

Require a simple list of schema types your developer will implement (as relevant):

  • Organization, Website, WebPage
  • Article / BlogPosting for content
  • Product or Service for commercial pages
  • FAQ (only when the content truly is Q&A)

Also require validation as a deliverable (for example, testing structured data output and fixing errors).

3) Get serious about canonicals and duplicate content

AI agents and search engines can’t confidently rank or cite you if they see multiple versions of the same page.

Ask your developer to confirm how they will handle:

  • Canonical tags (the “official” URL for each page)
  • www vs non-www consistency
  • http vs https consistency
  • Tracking parameters and whether they can be indexed
  • Pagination and filtered pages (for ecommerce or directories)

Good SEO is often just good housekeeping.

4) Demand an information architecture that matches how customers search

A clean menu is not a content strategy. Your site structure should reflect how real people ask questions and compare options.

Request a short architecture map that covers:

  • Core pages: services, industries, locations (if relevant), pricing approach, contact
  • Support pages: FAQs, comparisons, how-it-works, guides
  • Internal linking rules: how articles link to services, and how services link back to proof (case studies, testimonials)

This is critical for both discoverability and conversions: users should always be one or two clicks away from the “next step.”

5) Performance and accessibility must be measurable requirements

Search visibility and AI-driven recommendations increasingly correlate with quality signals. Two of the biggest are speed and accessibility.

  • Performance: ask for target ranges for Core Web Vitals and a plan to achieve them (image sizing, modern formats, lazy loading, caching, CDN)
  • Accessibility: specify a baseline (often WCAG 2.1 AA) and require basic checks (keyboard navigation, form labels, contrast, alt text guidance)

This isn’t “extra polish.” It directly affects reach, usability, and trust.

6) Make sure the CMS content model can scale

If you’re using a CMS, the real question is whether it supports growth without constant reinvention.

Ask for defined content types/templates for things you’ll repeat:

  • Services
  • Case studies
  • Team members
  • Articles
  • FAQs

A scalable content model keeps pages consistent, reduces errors, and makes ongoing SEO improvements much easier.

7) Require clean analytics, events, and privacy implementation

Discoverability is only half the story-your site also needs to prove what’s working.

Ask for:

  • An event tracking plan: form submissions, phone/email clicks, key CTA clicks
  • A consent approach: appropriate for your market and tools
  • Post-launch testing: confirm analytics is actually collecting the right data

If tracking is messy, you’ll end up making decisions based on incomplete information.

8) Include an SEO/AI-readiness handover in the project scope

Insist on a simple handover pack so you’re not dependent on a developer for basic operations:

  • Sitemap and robots.txt overview
  • Redirect list
  • Schema summary
  • Publishing checklist for new pages (titles, headings, internal links, images)
  • Monthly monitoring list (what to watch and where)

The goal: clarity. Clear structure, clear meaning, clear ownership. That’s what helps both people and machines find and trust your site.

If you’re planning a new website (or rebuilding an existing one) and want a second opinion on SEO and AI-agent readiness, get in touch with Jensen Technologies. We’re happy to discuss what fits your business and help you scope it sensibly.