Your buyers research in Google and in AI assistants before they ever book a demo. We make sure both can reach, read and accurately describe your product, and we measure what changes.
What we check
Each one follows the Crawl-to-Citation Method, and each links to the page that explains it.
Sites built as single-page apps can serve crawlers an empty shell. We compare the raw HTML with the rendered page, because not every AI crawler renders JavaScript.
JavaScript rendering and AI crawlersDocumentation and help content often answer the exact questions buyers ask, but sit on a subdomain or platform with its own robots.txt, sitemap and canonicals. We check each host, not just the main site.
Check AI crawler accessThese are the pages people and assistants look for when they compare tools. We check that they are indexable, answer the question in plain text and state facts that match the product.
The answer-first checklistWhen the product and company names differ, or a name is shared with other things, assistants mix them up. We align the name, description and profiles everywhere they appear.
Entity SEOLogged-in screens, sign-up steps and internal search results should not compete with your public pages. We check which are indexable and which should carry noindex.
Indexability inspectorVisits from ChatGPT, Perplexity and other assistants are easy to lose in referral or direct traffic. We set up a segment so you can see them before and after the work.
AI referral segmentWhere to start
Not sure which applies? The Search Visibility Diagnostic reviews all six stages and tells you.
Crawling, rendering, indexation, architecture, migrations and Core Web Vitals — diagnosed in order and fixed with your developers.
How AI Overviews, AI Mode, ChatGPT search, Perplexity and Copilot select sources — and what you can change.
Organization and founder entities, consistent naming across profiles, and structured data that matches what's on the page.
Topic architecture, content audits, briefs and refresh programmes that serve readers, Google and AI systems alike.
What we can show you
Our case studies are e-commerce and B2B supplier sites, each with its sources, its time window and what cannot be attributed to the work. There is no SaaS case study on this site yet, and we will not describe one until there is. Our own visibility in AI assistants is measured in public in the Lab, with the prompt set and the method published first.
Not yet on this site. The case studies we publish are e-commerce and B2B supplier sites, with every figure sourced. The method and the measurement are the same for a SaaS site, and the Diagnostic gives you a full, fixed-price view of your own site before you commit to more.
Yes. Fixes are written as ticket-ready items with the reason and the check that proves them, so your team can ship them in its normal sprints. We review the changes and re-check them after release.
No one can. We remove the technical and content reasons assistants cannot reach or describe you accurately, and we measure mentions, citations and accuracy with a published method so you can see what changed.
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