Why use SagBot to check AI readiness and answer engine optimization when you could just manually inspect your site crawlers and meta tags?
You can, and for one bot on one site you should. Reading robots.txt takes a minute. The trouble is the size of the list. SagBot runs 40 checks in about 20 seconds: per-bot robots.txt rules, Markdown negotiation, llms.txt, JSON-LD, /.well-known discovery files, canonical, hreflang and more. Some are easy to misread by hand. Blocking GPTBot opts you out of training, while blocking OAI-SearchBot or ChatGPT-User is what costs you in ChatGPT, and robots.txt treats them as separate lines. You also get what you'd otherwise write yourself after a manual check: fixes ranked by score impact, ready to paste into a coding agent. Every result shows what SagBot saw (URL, status, header or snippet), so you can still verify it by hand.
- What specific technical bottleneck forced you to limit SagBot to 40 checks instead of including deeper semantic indexability tests?
- No bottleneck forced the number. 40 is what's left after one rule: a check counts only if I can write a deterministic test for it against a published spec. If a spec is still a draft, the check shows up as info and doesn't touch the score. Semantic tests fail that rule. They'd need an LLM judging your text, and two scans of the same page could then disagree and hand you different fixes. SagBot calls no LLM during a scan, so the same site state gets the same score. There are real limits too: it reads the homepage and a handful of public files, with 8 seconds per request and 20 seconds per scan, and it doesn't crawl. It does look for citable server-rendered text, question headings and concise answers, but with fixed rules, not a model's opinion of your content.
- Why did you decide to make SagBot completely free with no account required instead of gating the copy-paste fixes behind a freemium paywall?
- A gated fix would break the loop that makes SagBot useful: scan, paste the fix, deploy, rescan. A score without the fix is just bad news, and you'd leave. It's also cheap to give away. A scan is a few GET and HEAD requests with no LLM call, the fix text comes from templates I wrote by hand, and results are reused for an hour. No account either: Turnstile and a rate limit handle abuse instead. To be straight about the business, this isn't charity. The free checker is how people find SagBot. The plan is to charge later for things that cost real money to run, like scheduled monitoring and citation tracking across AI engines. Sign-up for score tracking is already on every report.
- Who is SagBot explicitly not built for among traditional SEO professionals who focus solely on Google rankings rather than answer engines?
- Anyone whose job is Google rankings. SagBot has no keyword research, no rank tracking, no backlinks and no site crawl. It has 8 SEO checks, all basics like title, canonical, indexability and hreflang, run against your homepage. If you already use a full SEO suite and your reporting stops at positions, SagBot adds little beyond a quick look at whether AI bots can get in. It's also not for someone who wants proof that ChatGPT cites them today: it measures readiness, not mentions. It fits people who can act on a fix list, usually a developer or a site owner with a coding agent, and SEOs who've started getting asked about AI search.
- What do generic SEO audit tools fundamentally get wrong about how AI crawlers and bots actually parse website content?
- I wouldn't say wrong so much as built for Google, and that assumption leaks into their AI results. They often treat "AI bots" as one group, when training bots and search or user bots have different consequences: blocking GPTBot is a legitimate choice, blocking Claude-User or PerplexityBot has a cost. They can also score what a rendering crawler sees, while many AI fetchers don't run JavaScript, so a page that looks fine in an audit can be empty to them. SagBot doesn't run JavaScript either, so it sees closer to what they see. And ranking signals don't tell you whether an answer engine has a passage it can lift: a clear entity, structured data, a question followed by a direct answer. One more thing I care about: a blocked scan isn't a failed check. If a firewall stops my bot, SagBot says "couldn't check" instead of marking you down.
- What crucial limitation of AI bot accessibility did you have to leave out of the description for the sake of simplicity?
- robots.txt only tells you what a site permits, not what actually happens. A site can allow OAI-SearchBot in robots.txt while its CDN or firewall blocks that same bot at the door. SagBot always identifies itself as SagBot and doesn't impersonate other bots, so it can't see that block, and the bot table can look fine when access is broken. If your host has bot protection, check its logs or settings too. The second limit is scope: SagBot reads the homepage and a few public files, so a problem on a deep page won't appear. And a high score means a site is easy to reach and quote. It doesn't mean engines will cite you, since that also depends on authority and what people ask.
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