Indexed versus valuable:
How many of the pages that matter are actually in the index, and how many junk pages are.
Want to see where your brand stands before we talk?
Get the baselineA page a crawler cannot reach is a page no model can cite. Render-blocked content, wasted crawl budget, duplicate URLs, and slow templates quietly cap what every other investment can return.
Technical SEO is not glamorous and it is not optional. It is the difference between content that can be found and content that exists.
We write the audit as an implementation plan, ranked by what each issue is costing, so engineering works on what matters first.
The job is the same as it always was: make sure every valuable page can be crawled, rendered, indexed, and understood. The list of crawlers that need to do that just got longer.
Three areas carry most of the weight:
Can every bot reach the page, see the content without executing half a megabyte of JavaScript, and come back often enough to notice changes?
Duplicates, canonicals, thin templates, and parameter URLs that spend crawl budget on pages you never wanted indexed.
Core Web Vitals on real templates, not the homepage, plus the server headers and rate limits AI crawlers respect.
For startups and brands new to organic, just beginning to understand AI search. Your needs could look like this:
For mid-market and challenger brands with some internal resources and buy-in. Your needs could look like this:
For category leaders with multiple lines of business and large teams. Your needs could look like this:
A technical audit written as a step-by-step plan, not a 200-row spreadsheet, with owners and effort attached.
Recommendations ordered by impact and effort, so engineering works on the fixes that move the most first.
Implemented by us or paired with your developers, with regression checks so the same issue does not come back.
Robots rules, rendering, and rate limits reviewed for the AI crawlers, not only Googlebot.
"If your AI use is identical to your competitor's AI use, you don't actually have a strategy or an advantage, you just have a subscription."
Darrell Tyler, founder. Search Engine Journal, The 4-Layer AI Ops Playbook recap
Ranking well and being cited well are not the same skill anymore, so you should not treat them like they are. You are creating content for both humans and models now.
Machine and human understanding are not in competition. They do require different care, and you should not have to figure that out alone.
Find out where your business stands on AI search readiness:
Start with the audit ›Traffic is not the full story anymore, and leadership needs measurement that reflects that. You do not need to become fluent in these yourself. You need to know someone is watching them for you and telling you what they mean for the business.
How many of the pages that matter are actually in the index, and how many junk pages are.
How often crawlers hit your priority templates, from log files, not estimates.
The share of real page views that pass Core Web Vitals, by template.
How long a new page takes to show up after it is published.
Server errors, soft 404s, and redirect chains as a share of crawl requests.
Whether what a bot sees matches what a person sees.
We read your log files before we recommend anything. Guessing at crawl behavior is how audits end up with 200 rows nobody acts on.
The plan is written for your engineers, in their language, in their ticket format if you want it.
We stick around for the fix. An audit that is never implemented is a very expensive PDF.
We organize the work in three stages:
Understand where you stand today, across search and AI visibility, with a dated baseline.
Figure out what moves the needle for your specific business. It is never one thing, and it is never everything.
Put the work into motion across content, technical, and measurement, together, with your team.
//.deliverables
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