Your Prompt Trackers Measure. They Don't Optimize.
Prompt trackers tell you that an AI model skipped your brand. They can't tell you why. Here's what a diagnostic audit adds, and when the tracker is enough.
Technical guides on AI visibility, crawlability, and AI readiness improvements.
Prompt trackers tell you that an AI model skipped your brand. They can't tell you why. Here's what a diagnostic audit adds, and when the tracker is enough.
Most AI visibility tools hand you a list of problems and leave the writing to you. BeSeenByAI drafts the actual fix — a rewritten section, an FAQ answer, a schema block — ready to paste in and re-audit.
Why settle for generic AI advice? Learn why "Content Coverage" - not just asking ChatGPT -is the key to optimizing your product pages for AI visibility, answering the specific questions your customers are actually asking.
Agentic Browsing checks whether an AI browser agent can reach your page, read its controls, and operate the actions on it — not just read the text. A readiness verdict and a pass-ratio, never a 0-100 score.
Content Coverage checks whether a page explains its topic completely enough for an AI system to use it as a source — the topic it covers, the questions it answers, and the gaps to close first.
Whether you call it GEO, AEO, or AIO, you're doing one thing: making your content the source an AI system reaches for when it answers a question.
Compare what users see versus what GPTBot actually reads. The Content Visibility check surfaces the sentences AI crawlers miss and how to make them visible.
The authority scan is a structural audit that checks whether AI systems can confidently classify your page. After running the scan, we recommend fixing any failed checks first, then reviewing the warnings to decide which ones are worth addressing.
Learn how Prompt Fit reads your page like an LLM does, identifies why it isn't getting cited, and gives you the exact structural edits to fix it.
Stop guessing which prompts your page ranks for. Prompt Discovery analyzes your content like an LLM does and groups realistic prompts into four tiers — Already strong, Close to winning, Needs content work, and Gap - each with a concrete recommended action.
If AI systems can't crawl your site, they can't cite you. Here's what AI crawlability actually checks and why your robots.txt alone won't tell you the whole picture
Text-to-HTML ratio is mostly an SEO myth, but in AI retrieval it can become a token and chunk quality cost. Learn the caveats, what to measure, and what to fix.
As AI browsers move from reading to doing, the accessibility tree becomes the agent interface. Clear ARIA names, roles, and states reduce task failures.
INP is the reliability metric for AI browsers. Slow interactions can stall agents, trigger retries, and reduce successful task completion on your site.
Layout shifts can scramble extraction and create noisy chunks in AI retrieval. Learn why CLS affects eligibility and what fixes reduce inclusion risk.
In AI-driven search, slow server response can exclude your pages before they are read. Learn why TTFB acts as an eligibility gate and what to fix first.
A plain-English guide to your BeSeenByAI results — starting at the website dashboard, then reading every tab of a page report, and knowing what to fix first.