SEO & AI Search

Technical SEO for search and AI answer engines.

Search has two readers now. Search engines rank pages. Answer engines read them and decide what to quote. Both start from the same HTML, and most sites hand them a mess. We fix that layer, then measure what changed.

Inputs
Your site, its templates and its build
Fixes
Rendering, structured data, entities, crawl paths, speed
Measures
What a crawler is served, and how fast real visitors get it
Hands over
The changes, the checks and the reasons, in your repository

This page’s own structure, drawn at build from its HTML.

People read the top layer, crawlers follow the middle one and machines parse the bottom one.

14 headings · 51 links · 9 schema nodes

Build

Two readers

One ranks. One quotes.

A search engine crawls your pages, ranks them and shows a link. An answer engine reads them, lifts out claims and may or may not credit you. Many AI crawlers (programs AI companies send out to read web pages) never run your JavaScript, and the ones that do run it later. Both trust pages that say the same thing in the markup and in the copy.

one document · two readers Illustration
  1. Both readers start from the same HTML document.
  2. A search engine crawls it, ranks it and shows a link.
  3. An answer engine reads it, lifts out claims and decides what to quote.
  4. Both trust a page more when its markup and its copy say the same thing.

What we fix

The layer both of them read.

Prerendering

Every page arrives as complete HTML. A reader with JavaScript off, a crawler in a hurry and a screen reader all get the same words.

Structured data

JSON-LD (a standard format for writing facts about a page for machines) that describes real entities and matches the visible copy. Your company, its people, its services and the pages about them, joined by stable IDs.

Entity clarity

One name for each thing you sell, used the same way on every page. Answer engines stitch claims together across pages, and two names for one service reads as two services.

Crawl paths

Every page reachable in a few clicks from the home page, with link text that says where it goes. No orphan pages (pages no other page links to), no redirect chains and one canonical URL (the one address a page names as its main copy) per page.

Core Web Vitals

Fast first paint (the moment a page first shows anything), no layout shift (content jumping around while the page loads) and quick response to input. We set a budget, and the build fails when a page goes over it.

Machine-readable surfaces

A sitemap (a file listing a site’s pages for search engines) with real dates, a robots file (rules telling crawlers what they may read) that says what you mean, and llms.txt, a proposed plain-text summary some AI tools read. We’re clear that it’s a proposal and not a standard.

Build

Measured, not described

Here’s what a crawler gets from this page.

This page practices what it describes. When scripts run, the panel fetches it again and reads the raw HTML with no script run. Compare the readers. Then open the whole page in Machine view.

Machine view Build
Read this page as

GET /services/seo/status needs JStime to first byte needs JSbytes needs JS

LCP
needs JS
CLS
needs JS
slowest input
needs JS
transfer
needs JS
3rd-party
0
title
Technical SEO and AI Search Visibility | ADJL Technology56 of 60
description
Technical SEO for search engines and AI answer engines: prerendering, structured data, entity clarity, crawl paths, Core Web Vitals and llms.txt.145 of 160
canonical
https://adjltechnology.com/services/seo/
robots
index, follow (default)
h1 count
1
internal links
49 · 27 unique mailto 3 · external 0

Words readable without JavaScript

970 of needs JS

outline · 14 headings

  1. Technical SEO for search and AI answer engines.#top
    1. One ranks. One quotes.#readers
    2. The layer both of them read.#fix
      1. Prerendering#fix
      2. Structured data#fix
      3. Entity clarity#fix
      4. Crawl paths#fix
      5. Core Web Vitals#fix
      6. Machine-readable surfaces#fix
    3. Here’s what a crawler gets from this page.#machine
    4. What we won’t promise.#limits
    5. The proof is the page you’re on.#proof
    6. Questions about SEO and AI search.#faq
    7. Tell us what’s slow, or what can’t be found.#contact

structured data

OrganizationPersonWebSiteWebPage + FAQPageQuestion ×4OrganizationBreadcrumbListServiceCountry ×1ai-engineering #serviceaudit #servicesoftware #servicethis-site #article

11 entities · 14 references · 1 block · ✓ parses

  • OrganizationADJL Technology#organization
  • PersonDaniel Laskowski#daniel
  • WebSiteADJL Technology#website
  • WebPage + FAQPageTechnical SEO and AI Search Visibility | ADJL Technology/services/seo/#webpage · Question ×4
  • OrganizationADJL Capital#organization
  • ServiceTechnical SEO and AI search visibility/services/seo/#service · Country ×1
  • BreadcrumbList/services/seo/#breadcrumb
  • /services/ai-engineering/#service/services/ai-engineering/#service · described on another page
  • /services/software/#service/services/software/#service · described on another page
  • /services/seo/audit/#service/services/seo/audit/#service · described on another page
  • /work/this-site/#article/work/this-site/#article · described on another page

machine-readable files

markdown copy · /services/seo/index.md · first 40 lines

# Technical SEO for search and AI answer engines.

> Technical SEO for search engines and AI answer engines: prerendering, structured data, entity clarity, crawl paths, Core Web Vitals and llms.txt.

Page: https://adjltechnology.com/services/seo/
Updated: 2026-11-12

SEO & AI Search

Search has two readers now. Search engines rank pages. Answer engines read them and decide what to quote. Both start from the same HTML, and most sites hand them a mess. We fix that layer, then measure what changed.

[See what a crawler reads](https://adjltechnology.com/services/seo/#machine) [Talk to Daniel](https://adjltechnology.com/services/seo/#contact)

- **Inputs:** Your site, its templates and its build
- **Fixes:** Rendering, structured data, entities, crawl paths, speed
- **Measures:** What a crawler is served, and how fast real visitors get it
- **Hands over:** The changes, the checks and the reasons, in your repository

People read the top layer, crawlers follow the middle one and machines parse the bottom one.

Two readers

## One ranks. One quotes.

A search engine crawls your pages, ranks them and shows a link. An answer engine reads them, lifts out claims and may or may not credit you. Many AI crawlers never run your JavaScript, and the ones that do run it later. Both trust pages that say the same thing in the markup and in the copy.

1. Both readers start from the same HTML document.
2. A search engine crawls it, ranks it and shows a link.
3. An answer engine reads it, lifts out claims and decides what to quote.
4. Both trust a page more when its markup and its copy say the same thing.

What we fix

## The layer both of them read.

### Prerendering

Every page arrives as complete HTML. A reader with JavaScript off, a crawler in a hurry and a screen reader all get the same words.

### Structured data
tokens (estimate: characters ÷ 4)
≈ 1,478
llms.txt entry
- [Technical SEO and AI Search Visibility](https://adjltechnology.com/services/seo/): Technical SEO for search engines and AI answer engines: prerendering, structured data, entity clarity, crawl paths, Core Web Vitals and llms.txt.
structured data
This page says it’s a WebPage and FAQPage on the website of ADJL Technology, an Organization founded by Daniel Laskowski. It’s about Technical SEO and AI search visibility. It also describes a Service: Technical SEO and AI search visibility. It lists 4 questions, each with its answer. It points to 4 things described on other pages.

Honest limits

What we won’t promise.

Nobody outside a search engine controls rankings, and nobody controls what an AI answer says. Anyone who guarantees either one is guessing. We promise the work we control. Pages that are fast, complete without JavaScript, consistent and easy to quote. Then we report what changed, with the measurements.

Proof

The proof is the page you’re on.

This site was built as the case study. Every claim on this page can be checked against the page itself, and the build notes are public.

Fair questions

Questions about SEO and AI search.

What’s llms.txt, and does it matter?

It’s a proposed convention, a plain-text file at the root of a site that summarizes it for language models. Some AI tools read it and many don’t. It’s cheap to generate from pages you already have, so we do, and we don’t oversell it. This site’s own file is rebuilt from its pages on every deploy.

Do you do traditional SEO too?

Yes. Technical SEO is most of the work either way. Titles, descriptions, headings, internal links, speed and structured data help ranked results and quoted answers alike. We don’t write bulk content to chase keywords.

Will you rebuild our site?

Only if that’s the cheapest fix. Most technical SEO work happens inside the site you already have, in its templates and its build. When a rebuild is the honest answer, we’ll say so and price it separately.

How do you measure results?

With tools anyone can run. What a crawler is served, how fast real pages load, which pages get indexed and what the search consoles report. We report what changed and leave out what we can’t attribute.

Start here

Tell us what’s slow, or what can’t be found.

One paragraph is plenty. Tell us what you want built, the step that costs the most, or the page that should rank and doesn’t. If you know why the obvious fix hasn’t worked, say that too.

Email
daniel@adjlcapital.com
Email Daniel

Daniel reads and answers these himself, usually within a day or two. No sequence, no drip, and nothing sold to anyone.