A marketing site that renders in the browser
The whole page assembled client-side from a framework bundle. Crawlers that do not execute JavaScript receive an empty root element, so your positioning, pricing and integrations all score as absent.
Software evaluation is the category where AI-assisted research took hold fastest — and where marketing sites are most likely to be a JavaScript application a crawler cannot read.
The category question — "what are the best tools for X" — is the exact shape assistants are strongest at answering. If you are not in that answer, you are excluded before your website was ever a factor, and no amount of demand generation reaches that moment.
Comparison is the dominant query. Buyers ask how you differ from a named competitor, whether you integrate with their stack, and what you cost. Every one of those is answerable with facts you already have and usually do not publish in readable form.
This sector has the worst version of the rendering problem, because marketing sites here are disproportionately client-rendered single-page applications. The most technically capable companies are frequently the least readable, which is an unhappy irony and a very fixable one.
Get a free report on your site
The questions that matter here
These are the shapes of question an assistant answers with a shortlist of named companies. We test yours against the real models and record who gets named instead of you.
Common failures
The whole page assembled client-side from a framework bundle. Crawlers that do not execute JavaScript receive an empty root element, so your positioning, pricing and integrations all score as absent.
A defensible sales choice that removes you from every comparison answer. A published tier structure with real numbers is quotable; "contact sales" is not, and the assistant will simply describe a competitor who published theirs.
A wall of partner marks with no text. "Integrates with [platform]" is among the most decisive questions in software selection and one of the easiest to answer in structured data.
Price
The full technical diagnostic on your site, generated by the engine and delivered in minutes. Every check scored, every finding evidenced with the response code or the markup behind it, and a prioritised fix list your developer can act on without ringing us.
If you want live testing against the models, competitor citation analysis and somebody to interpret it, that is the expert audit at £950. If you want the fixes built rather than described, we do that too. Most companies in your sector need the first one.
Most of them are a consultancy pitch with an audit attached, priced as a monthly retainer. Ours is a product: the technical diagnostic is automated, it costs £150 as a one-off, and you can request the free report without speaking to anybody. We also build the fixes, which most of them do not.
The diagnostic is the same in every industry — crawler access, structured data, rendering and content structure do not vary by sector. What varies is the questions your customers actually ask an assistant, and those we build with you. We publish what we find sector by sector, and this page lists the failures we see most often in yours.
Because this is a product rather than a consultancy pitch. The technical diagnostic is automated, so the full report is £150 once rather than a monthly retainer, and you can request the free report without speaking to anybody. We also build the fixes rather than sending a list of them. If the other three offered you a retainer and a document, that is the difference.
There is overlap, and good SEO helps. But an SEO audit tells you how you rank in a list of links. It will not tell you that your CDN is returning a 403 to Perplexity’s crawler, that your itinerary pages are empty without JavaScript, or that a model currently describes your business incorrectly. Different failure modes, different tests, different fixes.
No, and treat anyone who does with suspicion. AI answers are non-deterministic: the same question asked twice can return different sources, and model updates change results without warning. What we can commit to is the foundation — crawlers reaching your site, structured data they can parse, content they can read — and honest measurement of what changes.
It takes a domain and nothing else. If it comes back clean, you have a straight answer and you can stop thinking about this.