An AI crawler never sees your website. It sees the HTML your server returned, and it does not run your JavaScript. The Bavior GEO audit reads your pages the way that crawler does, scores each one, and hands back the fix for every issue it finds.
Bavior re-runs the audit every week, so you watch the score move after you ship the fixes instead of auditing once. Prices start at $99 per month billed monthly, or $79.17 per month billed yearly.
See AI visibilityA GEO audit checks whether an AI engine can fetch, parse and quote your pages. The Bavior GEO audit scores every page out of 100 on four things: structured markup, content structure, meta, and citation density. Each page comes back with its issues listed, and each issue comes back with the fix.
This is a code audit, not a content review. It answers one question: if an engine did land on this page, is anything in the way? It does not answer whether an engine lands on it at all. That is the other half of the job, and it is what the free AI visibility checker measures. Most sites need both numbers before they know which problem they actually have.
Upstream of the answers: whether AI crawlers reach your pages, and how readable those pages are once they do. Three screens, in the order you read them.
Sample data · same interface as the product
The audit reads pages that come back. These three decide whether anything comes back at all, and each takes about a minute to check by hand. We would rather hand you the checks than pretend they are in the score.
Open yourdomain.com/robots.txt and search it for GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended. A Disallow on any of them is a decision, and often nobody on the team remembers making it. Nothing gets cited if nothing gets fetched.
View source on your most important page — not inspect element, view source — and search for a sentence you can see on screen. If it is not there, it was rendered by JavaScript, and most AI crawlers will never see it.¹ This is the single most expensive bug on this list.
Bot protection sits in front of your server, and some providers now block AI crawlers by default on newly onboarded domains. Your robots.txt can say yes while the edge says no. Check the bot rules in your CDN dashboard, not just the file at your root.
Most GEO advice in 2026 is a checklist nobody has tested. Here is what the published work says about each item, including the two we ship on this site ourselves.
| The fix | What the published work shows | Worth your time? |
|---|---|---|
| Server-rendered HTML | A network-level analysis of AI crawler traffic found no evidence that the ChatGPT or Claude crawlers execute JavaScript. They download JS files — about 11.5% and 23.8% of their requests — and never run them.¹ | Do this first |
| Headings, short paragraphs, one claim per block | No study puts a number on it. It is what a retrieval system splits and quotes, and a quotable block is the unit an engine actually lifts. | Do it, cheap |
| JSON-LD schema | A controlled test across 1,885 pages found no measurable AI-citation lift from adding schema on its own. Pages with schema do get cited more, but they are also the pages doing everything else right.² | Do it for search, not for AI |
| An llms.txt file | An analysis of 137,000 sites found 97% of llms.txt files were never fetched by an AI crawler. Google's search advocate called the file "not done for search".³ ⁴ | Ship it, expect nothing |
| Being in the pages engines already cite | Engines answer out of the sources they retrieve. On most B2B SaaS questions those sources are third-party pages, and the most-cited domain in AI answers is Reddit.⁵ | This is the ceiling |
Read the table in one line. Fixing your code moves you from unreadable to readable, and that is a floor, not a ceiling. Two of the five rows are worth doing today, one is worth doing for other reasons, one is nearly free and probably does nothing, and the last one is the only row that decides whether you get named at all.
This is the normal outcome, and it is not a failure of the audit. A clean page is a page an engine can use if it retrieves it. Retrieval is decided somewhere else: in the third-party pages the engine reads before it writes an answer. On most B2B SaaS questions those are Reddit threads, and the fix is to be in them. From there you have two options, and both keep every post under your approval.
Bavior finds the threads your category's answers are built from, reads each subreddit's rules, and drafts the reply in your voice. You approve it and publish from your own account. Starter costs $99 per month billed monthly, or $79.17 per month billed yearly.
Bavior's GEO service runs the same loop as a monthly engagement. It includes managed posting, which is priced separately from a plan, so our vetted accounts publish the approved posts instead of yours. You still approve every post before it goes out.
The audit tells you what is wrong with your HTML. It cannot tell you what an engine will do with the fixed page, because no engine publishes how it picks sources and all of them change those rules often. So nobody can promise you a citation, Bavior included. What we can do is score the pages, name every issue, and re-score them each week so you can see whether the number moved.
A GEO audit checks whether generative engines can read and quote your pages. It is generative engine optimization applied to your own code: is the content in the HTML, is it structured in blocks an engine can lift, does the markup describe what the page is, and does the page carry sources. The Bavior GEO audit scores those four dimensions per page and lists the fixes.
The audit is free for one run, inside a free Bavior account. What we charge for is the recurring version: the same pages re-fetched and re-scored every week with the history kept. That is Bavior AI visibility, from $99 per month billed monthly, or $79.17 per month billed yearly.
It is not instant, and we do not quote a turnaround we cannot hold to. The report arrives by email when the run is done. Fetching your pages, scoring each of them on four dimensions and writing the fix for every issue is real work rather than a queue.
No. The score covers what is inside the page: markup, structure, meta and citation density. Crawler access lives outside the page, so we hand you those checks instead of pretending they are in the number. They take about a minute each and they are in the section above.
Probably not, and we say that while publishing one ourselves. An analysis of 137,000 sites found 97% of llms.txt files were never fetched by an AI crawler, and Google's search advocate described the file as "not done for search".³ ⁴ It costs an hour to ship, so ship it if you like. Do not put it ahead of getting your content into the HTML.
On its own, usually not. Fixing the code removes the reasons an engine cannot use your page. It does not give the engine a reason to retrieve it. Retrieval comes from the sources the engine already reads on your topic, which on most B2B SaaS questions means third-party threads rather than your own site. Both halves matter, and the code half is the one you fully control.
An SEO audit optimises a page to rank as a blue link, and it can assume a renderer: Google's crawler runs JavaScript. A GEO audit optimises a page to be quoted inside someone else's answer, and it cannot assume a renderer, because the AI crawlers largely do not run JavaScript.¹ The overlap is real, but a site can pass an SEO audit and still be invisible to an engine.
¹ Vercel, “The rise of the AI crawler,” a network-level analysis of AI crawler requests. ² Ahrefs, controlled test of schema markup across 1,885 pages, 2026. ³ Ahrefs, “We analyzed 137K sites: 97% of llms.txt files never get read,” 2026. ⁴ John Mueller, Google, on llms.txt, May 2026. ⁵ Semrush, “The Most-Cited Domains in AI,” as reported by Search Engine Land. Demo figures are sample data for a fictional page set. Last updated 2026-08-27.
Set a goal and Bavior runs the loop end-to-end — find, draft, post, verify, replan. You approve.
Tell Bavior the outcome — signups, feedback, visibility. It plans, executes, and replans until it's done.
Learn more →It scores real buying intent across your subreddits and backs every lead with evidence.
Learn more →Detail-rich, pitch-free drafts that follow each subreddit's rules and read like real participation.
Learn more →One-tap approval on every action, an independent reviewer, quotas, and stop rules keep accounts safe.
Learn more →A live scoreboard and weekly review track posts, replies, leads, and karma — and what changes next.
Learn more →Get alerted the moment Reddit talks about you or a competitor — and step in where it matters.
Learn more →Reddit content built to get cited by ChatGPT, Perplexity, and Google's AI answers.
Learn more →Every plan runs the full loop — plan, execute, verify, replan. You scale up the products, the volume, and the firepower.
What an autonomous Reddit agent is, and why it beats a bot or a tool.
Agency output, minus the retainer, the black box, and the lock-in.
Hand over the goal; get a weekly report of posts, replies, and leads.
Find buyer-intent threads and turn them into a qualified lead list.
Plan → execute → verify → replan, running around the clock.
How the categories compare — bots, reply tools, agencies, and agents.
The playbook: goals, subreddits, cadence, and what to measure.
A free tool to surface the communities where your buyers actually hang out.
Set a goal tonight. Wake up to a plan, drafts waiting for approval, and a report of what happened.