What is Grail Analytics?
Grail Analytics is an AI visibility platform. Every night it asks the major AI assistants — ChatGPT, Claude, and Gemini — a set of real-world questions about your market, then measures how often you show up, where you rank against competitors, how you’re described, and whether what the AI says about you is actually true. The results become a score out of 100 per assistant, tracked over time, with a clear list of what to fix.
What exactly does it measure?
Four things, which combine into your score:
- Mention rate — how often you appear when people ask AI about your category.
- Position — where you appear, and which competitors appear alongside or ahead of you.
- Sentiment — how positively the AI describes you (a low score usually means you’re under-mentioned, not described negatively).
- Accuracy — whether the facts the AI states about you are correct, checked against your own verified information.
A secondary “depth” measure (how much detail the AI volunteers about you) is also reported, but kept out of the headline grade.
Which AI engines do you track?
ChatGPT, Claude, and Gemini, run nightly on our Pro plan. These cover the large majority of AI-assistant usage. Coverage of additional engines is handled through your plan as an optional add-on.
Do you track Google AI Overviews?
Not in the current release — it’s on the near-term roadmap. Google offers no official way to pull AI Overview results, so (like every tool in the market) it requires simulated browser-based collection (scraping) rather than a clean data feed. We’d rather add it properly than report shaky numbers.
What makes Grail different from other AI visibility tools?
The accuracy check. Almost every tool on the market tracks mentions, sentiment, and share-of-voice. Very few check whether the AI is telling the truth about you. Grail verifies the factual claims AI makes about your brand against your own verified facts, and flags two kinds of problem: incorrect citations (often fixable — e.g., the AI is repeating an outdated source) and hallucinations (invented details). If your concern is “is AI saying wrong things about us” that’s the gap most tools leave open. (See our state of the market blog post for how rare this capability is.)
How do you check accuracy and catch hallucinations?
During setup we build a set of verified “facts” about your organization (pulled from your own website and editable by you). Each claim an AI makes is compared against those facts. Claims that match are confirmed; claims that conflict are flagged; claims with no matching fact are set aside as “unverified” (usually harmless, just not something we have a fact for). Real examples we’ve caught include a wrong tuition figure stated with confidence, a product incorrectly described as not available online, and an invented office location.
Where do the “facts” we’re checked against come from?
From your own website during onboarding — then you review and edit them. The logic is simple: if a fact isn’t published anywhere you control, it’s hard to hold the AI to it. You stay in control of what counts as ground truth.
AI gives a different answer every time — how is this reliable?
That’s exactly why we run it the way we do. Instead of asking once, we run a long list of prompts across all the assistants, every night, and track your appearance rate and share of voice over time rather than a single “rank.” Independent research confirms that exact AI rankings are essentially noise, but how often you appear across many runs is a stable, meaningful signal. Our reporting is built around that reality.
How many prompts do you track?
Around 20 by default, organized by buyer-journey stage (awareness, consideration, decision) and audience. They’re fully editable — swap, remove, or add your own — and you can track more on higher plans. Pricing scales with the number of prompts.
What’s in the report?
A single, interactive report fully customized to your brand colors that includes:
- your headline score by assistant
- trends over time
- competitor comparison and share-of-voice
- a query-by-query view of where you do and don’t appear
- a citation view showing which pages get referenced
- the accuracy / validation section
- key findings and recommendations
- a methodology section that spells out exactly how each score is calculated
How do I actually use the report?
Three ways: (1) establish a baseline for where you stand in AI today; (2) find the gaps — the prompts where competitors win and you’re absent; (3) fix what’s wrong — correct the inaccurate claims and prioritize the content and technical work that improves your standing. The report tells you where to focus; the work itself can run in parallel (e.g., a content piece and the supporting structured data at the same time).
What kind of recommendations does it give?
Evidence-based ones. The tactics with the strongest research support — adding statistics, citations, and quotes; earning brand mentions on third-party sources; structuring content so it’s easy to extract; and clean structured data — are prioritized over speculative ones. Recommendations are increasingly assistant-specific, because Claude and ChatGPT behave differently from Gemini and Perplexity, so the right move depends on which assistants your audience actually uses. (Our state of the market blog post covers what’s evidence-backed vs. hype, including the honest picture on llms.txt.)
Will my score actually improve if I act on this?
We’re measuring that relationship directly — tracking how changes to content, structured data, and earned mentions correlate with movement in AI visibility over time. We’re deliberately not in the business of “guaranteed #1 in AI” promises; AI visibility is new enough that the honest answer is that we measure rigorously, recommend what the evidence supports, and show you the trend.
If the tool tells me what to fix, why do I still need my agency?
Grail is the measurement layer — it tells you, precisely and continuously, where you stand and what’s wrong. Acting on it (writing the content, fixing the structured data, running the digital-PR campaigns that earn mentions) is execution work that an agency does. The analogy is with SEO tools: a platform can tell you what to improve, but most teams still rely on specialists to actually do it and to prioritize across everything else. The tool makes the agency’s work sharper and more accountable; it doesn’t replace it.
How is it priced?
The Pro plan is $499/month per brand/program for nightly tracking of 50 prompts. For budget-sensitive organizations and non-profits we also offer a Standard plan at a lower cost and frequency. Agencies get a referral arrangement and can white-label the reports for their clients. Pricing scales with the number of prompts and engines.
Can we do a one-time audit instead of a subscription?
Yes. A one-off audit gives you a snapshot baseline — useful for a board update, a brand-awareness benchmark, or a first look before committing to ongoing tracking.
How do we get started?
Onboarding is a short guided setup: enter your site, and the system pulls your brand details, suggests competitors, generates a starter set of prompts, and drafts your fact list — all of which you review and edit. From there it begins nightly tracking and your first report follows.
If you have any questions at any time, drop us a line: hello@grailanalytics.ai.