AI visibility / GEO

When buyers ask AI who to hire, are you in the answer?

We run the questions your customers actually ask across the engines they actually use, record who gets named and what gets cited instead, and tell you which of those gaps is worth fixing.

GetBorvis / Organic visibility
AI citation readiness Sample view
04gates checked
Entity clarityPass
Answer coverageReview
CitationsGap
TechnicalContentAuthorityAI

There is no AI ranking. There are several engines that disagree.

ChatGPT runs its own index alongside Bing, Google and vendor feeds. Claude searches through Brave. Perplexity runs a separate index of its own. Google's AI features run on the ordinary Google index. Each one retrieves differently, trusts different sources, and answers the same question with different companies in it.

So "we will get you into AI" is not a service anyone can sell honestly. Being in one engine tells you very little about the others.

We hold ourselves to the same standard on what we do not know. Grok and Meta AI matter in India and we test them, but xAI publishes no crawler documentation at all, so anything we told you about controlling it would be inference dressed as fact. It is not in the table below for that reason.

Buyer asks AI

“Which company is the best fit?”

The system does not show every option. It builds a shortlist, and the shortlist is short.

Generated shortlist3 businesses
01Recommended
02Recommended
03Recommended
Your businessNot in the answer

Every engine has a bot you might be blocking.

Search access and training access are different permissions, and most of the robots.txt files we checked did not address them separately. We read each of these from the platform's own documentation on 23 September 2026 rather than from a blog post, and updated Google's row on 10 October 2026.

EngineLets you appearTraining and other AI usesFetches when a user asks
ChatGPTOAI-SearchBotGPTBotChatGPT-User
ClaudeClaude-SearchBotClaudeBotClaude-User
PerplexityPerplexityBotnone publishedPerplexity-User
Google AI Overviews and AI ModeGooglebotnot separatedGooglebot
Gemini appGoogle-ExtendedGoogle-Extendednot published

ChatGPT. Search inclusion and training are separate switches. The user fetcher is documented as not bound by robots.txt, because a person asked for it.

Claude. Claude searches through Brave, so position in Brave is the honest diagnostic for whether Claude can find you at all.

Perplexity. Perplexity documents PerplexityBot as not used for model training, so there is no separate training crawler to decide about. The user fetcher generally ignores robots.txt.

Google AI Overviews and AI Mode. The one most people get wrong. These run on ordinary Googlebot, so blocking Google-Extended does nothing to them. Since 31 August 2026, Search Console has a separate Search generative AI control that takes a site out of AI Overviews, AI Mode and Discover's AI features without taking it out of Search. Snippet directives and noindex still work too.

Gemini app. A different product from the one above, on a different switch. Google-Extended covers Gemini apps and Vertex AI grounding. Block it and the Gemini app stops grounding on your site, while your AI Overview presence is untouched.

We checked 44 agency robots.txt files. Almost nobody had decided anything.

On 1 September 2026 we pulled the robots.txt of 48 active branding, design and web agencies. Forty-four returned a valid file. Here is what they said about OpenAI.

Not one of them blocked the search crawler. But only four had written a rule about it at all. The other forty were open by default, through a wildcard, with no rule naming it.

Four had explicitly blocked the training crawler while leaving search open, which is the correct distinction.

0/44blocked OAI-SearchBot, the crawler that decides whether ChatGPT can surface you
4/44had written any explicit rule for it. The rest were open by default
4/44blocked GPTBot while leaving search open, the distinction most sites miss

Ours Purposive sample of agencies we had already qualified through public commercial research, 30 in India and 18 international. Not random and not representative of any industry. A robots.txt file is also not the only gate: a CDN can challenge a bot that robots.txt permits. The raw data is published so you can check the arithmetic.

The useful conclusion is not "you are probably blocked". Most sites are not. It is that the gate is usually open by default with no rule written for it, so check it rather than assume, and not for the first time after six months of paying for content.

We were cited for the caveat. A competitor was cited for the method.

A buyer searched a full sentence: whether there is a way to measure if earned media is what AI models cite about a candidate. Google returned an AI Overview. Our page was one of three sources in it.

We were cited once, for the sentence saying direct causal attribution is difficult. Another site was cited five times, carrying every one of the five numbered steps in the answer.

Our first reading was that they wrote a numbered list and we wrote prose. That is part of it, and the smaller part. Google’s patents describe an answer assembled statement by statement: passages are compared against each other, a passage repeating something already selected is dropped, and how much any single domain can contribute is capped. On that reading we were not beaten on the method. We took the one slot our best passage qualified for, and had nothing left to win the others with. Patents describe capability rather than confirmed production behaviour, so treat that as the mechanism we find most plausible, not as a Google statement.

We rank first in the ordinary results for that query and it produced zero clicks. Being the answer and being visited are now separate outcomes.

What this changes

The engine took our epistemics and somebody else's instructions. That is a structural finding about how extraction works, not a content quality verdict, and it is the kind of thing only visible if you look at your own citations line by line.

Limits. One query, two impressions, not checked in a private window, so personalisation is not ruled out. It is an AI Overview on the All tab, not AI Mode, though it carried AI Mode features. A single screenshot proves nothing on its own, which is why we measure with repeated runs.

Read the page that was cited ↗

Do not buy AI citations as a traffic channel. That is the honest pitch.

Cloudflare measured how many pages each platform crawls for every visitor it sends back. In the week of 19 to 26 June 2025 the spread ran from Anthropic at roughly 70,900 pages crawled per referral down to far lower ratios elsewhere. Cloudflare notes that native app traffic carries no referrer header, so the true ratios are likely better than measured, by an unknown amount.

Ahrefs analysed 4 million AI Overview URLs across 863,000 result pages in March 2026 and found 37.9% of cited URLs also appeared in the first ten blocks of the ordinary page. Blocks are not organic positions: ads, featured snippets, People Also Ask and video packs each count as one, so the window is tighter than the top ten results.

We previously presented that beside an earlier Ahrefs figure of 76% as a fall over time. That comparison does not hold. The earlier study looked at the top three citations per answer against organic rank; the later one looked at every cited URL against blocks. Different scope, different denominator, so the two numbers describe different measurements rather than a trend. Ahrefs sells SEO tooling, and both caveats above are ours.

Read together: ranking well and being cited overlap only partly, and nothing here supports treating citations as a dependable source of visits. Crawl-to-referral ratios do not measure visits per citation, so they cannot say how much traffic a single citation sends. The value is being the name a buyer hears when they ask, which shows up later as someone typing your business into a search box. That is what we measure.

Three things the market charges for that do nothing.

An llms.txt file

We publish one and we would tell you not to buy one. In the largest log study, 97% of published files were never fetched in a month. We checked 48 agency sites and found no relationship worth selling.

The evidence ↗

Schema markup as a citation lever

Structured data is useful for rich results. It is not what gets you quoted in an answer, and Google says so in its own documentation.

The evidence ↗

A guaranteed AI citation

Answers are probabilistic and personalised. The same prompt run twice returns different companies. Anyone selling a guaranteed citation is selling a coin flip they did not disclose.

How we measure instead ↗

"You don't need to create new machine readable files, AI text files, or markup to appear in these features. There's also no special schema.org structured data that you need to add."

Fact Google Search Central, AI features documentation

One screenshot is not evidence. A rate is.

We fix a set of prompts your buyers would really type, run them across the engines your buyers really use, in fresh sessions, and record four separate things: whether you can be retrieved at all, whether you appear in that engine's results, whether you are linked in the answer, and whether you are named in the text. Where we have run this, the gap has most often been between the second and third. That is an observation from a small number of checks, not a measured rate, and it usually points to a passage problem rather than an authority problem.

We also record what got cited instead of you, because that list is the plan. Results are reported as rates across runs, never as a single answer, and we re-run the same set monthly so the comparison means something.

The full method, published ↗

Google's AI features are still an SEO problem.

AI Overviews and AI Mode run on the same crawl, the same index and the same ranking as ordinary Search. A page has to be indexed and eligible for a normal snippet before it can support one. ChatGPT, Claude and Perplexity are the part that genuinely works differently.

See how the ranking side works ↗

Find out who AI names instead of you.

Send your site and what you sell. We run a small set of real buying questions and email you what came back, including who was recommended in your place. Free. No call. No pitch.

Run the free check ↗

Agency rebuilding a client’s site? See the launch handoff, from $1,200. Building something else? See how we partner.

Platform behaviour described here was checked on 23 September 2026. These systems change monthly, and a dated claim describes its date. Where we are wrong we correct the page and leave the date on the correction.