Website readiness
84 / 100
Demonstration score; the weighted checks and calculation are shown below.
Fictional example · edited
AI Discovery sample report
See how Prompeteer separates website readiness, answer evidence, citations, recommendation position, sentiment and action planning in one dated report.
Illustrative report. Values and model names below are a fictional example created for product education. They are not a customer measurement and do not refresh.
Beacon’s website overview is public. Its workspaces, reports, samples and paid operations are currently available only to administrators. Free Prompeteer and Prompeteer Pro do not grant Beacon workspace access.
Readiness snapshot
A report starts with the evidence available on the collection date. A missing measure is labeled explicitly rather than converted into a zero.
Brand mentions
10 / 29
34.5% of completed web-grounded answers named the fictional business. Model memory: 0 / 17.
Answers citing a source
17 / 29
10 answers cited the fictional company website. Any-source citations and own-site citations are counted separately.
Recommendation position
Top three in 5 / 8
The denominator includes only named answers with an explicit ordered recommendation. An unranked mention has no inferred position.
Brand sentiment
62.5% positive
8 assessed mentions: 5 positive, 2 neutral and 1 mixed. 2 unassessed mentions remain outside the percentages.
AEM actions
4 proposed
Each proposed action has recorded evidence and an acceptance check. No action is marked implemented.
Evidence coverage by section
Completion, mention, citation, sentiment and planning evidence answer different questions. Keeping them in separate rows prevents a complete API response from being mistaken for a complete business assessment.
| Report section | Coverage | Recorded evidence |
|---|---|---|
| Website readiness | Demonstration | 84 / 100 7 checks passed, 1 failed and 2 were not applicable. These are fictional teaching weights, not the production rubric. |
| Answer collection | Partial | 46 / 48 complete 5 web-grounded models and 3 model-memory proxies have 6 planned questions each. OpenAI Q6 has no substantive answer; GLM Q6 timed out. Both are excluded from result rates. |
| Brand mentions | Measured in this example | 10 / 29 web answers named Model memory: 0 / 17 named. Neither layer is combined with brand-seeded questions. |
| Citation evidence | Measured in this example | 17 / 29 answers cited 22 source references across 3 distinct fictional pages. 10 answers cited the company website. A source reference is not another answer. |
| Recommendation position | Measured in this example | 5 / 8 top-three 2 named answers contain no explicit rank and remain unranked. |
| Brand sentiment | Partial | 8 assessed mentions 2 unassessed mentions. Exact fictional quotes are available below; a missing assessment is not neutral. |
| AEM actions | Proposed | 4 proposed All 4 actions have an evidence reference and an acceptance check below. |
| Forecast outlook | Not measured | History required This teaching example has no comparable earlier snapshot. A forecast or change percentage would have no supporting history. |
Model and layer results
The same six buyer questions run across each configured engine. The layer identifies whether the answer used web retrieval or model memory; a zero named rate is a measured result, not a failed call.
| Model | Layer | Completion | Named | Answers citing a source |
|---|---|---|---|---|
| OpenAI API | Web-grounded | 5 / 6 complete | 2 named | 3 answers cited |
| Perplexity API | Web-grounded | 6 / 6 complete | 3 named | 5 answers cited |
| Gemini API | Web-grounded | 6 / 6 complete | 2 named | 4 answers cited |
| Meta API | Web-grounded | 6 / 6 complete | 1 named | 2 answers cited |
| Grok API | Web-grounded | 6 / 6 complete | 2 named | 3 answers cited |
| DeepSeek API | Model memory | 6 / 6 complete | 0 named | Not measured in this layer |
| Qwen API | Model memory | 6 / 6 complete | 0 named | Not measured in this layer |
| GLM API | Model memory | 5 / 6 complete | 0 named | Not measured in this layer |
Reproduce the numbers
These demonstration weights belong only to this fictional example. Applicable weight = 100; passed weight = 84. Readiness = passed weight ÷ applicable weight × 100 = 84 / 100. Failed checks earn zero; not-applicable checks are excluded from both sides.
| Check | Result | Weight | Earned | Fictional evidence |
|---|---|---|---|---|
| D1 · Page access | Passed | 12 | 12 | Fictional public offer page responds with HTTP 200. |
| D2 · Canonical identity | Passed | 12 | 12 | Fictional page declares its own canonical URL. |
| D3 · Readable offer | Passed | 12 | 12 | Fictional initial HTML describes the offer. |
| D4 · Business identity | Passed | 12 | 12 | Fictional page names the business consistently. |
| D5 · Descriptive headings | Passed | 12 | 12 | Fictional headings identify the page sections. |
| D6 · Useful comparison | Passed | 12 | 12 | Fictional feature table uses consistent criteria. |
| D7 · Source links | Passed | 12 | 12 | Fictional documentation links resolve. |
| D8 · Pricing qualifications | Failed | 16 | 0 | Fictional pricing page omits a usage qualification stated elsewhere. |
| D9 · Store inventory | Not applicable | 10 | Excluded | This fictional business sells no physical inventory. |
| D10 · Local opening hours | Not applicable | 10 | Excluded | This fictional business has no public storefront. |
This example explains weighted arithmetic. It does not claim that these ten checks or weights are the complete production audit, or that readiness predicts AI visibility.
Questions and exact fictional answers
Example business: Example Promptworks (promptworks.example). The reserved .example domains below are fictional source identifiers. All model labels are teaching labels, not evidence of a provider call. Open a model to inspect every answer and sentiment quote.
- Q1 · Prompt generation
Which prompt generators help a business user turn a task into reusable instructions?
- Q2 · Reusable skills
Which tools help teams create reusable AI agent skills?
- Q3 · Model compatibility
Which prompt tools support workflows across several model families?
- Q4 · Pricing and limits
How do free and paid prompt tools compare on usage limits?
- Q5 · Business context
Which prompt tools can use saved business context, and what permissions do they require?
- Q6 · Team review
Which tools let a team review and share reusable prompts before use?
OpenAI API · web-grounded example
Q1 · Brand named
1. Example Promptworks is a useful choice for reusable task instructions. Sources: https://promptworks.example/features, https://buyer-guide.example/team-review.
Explicit recommendation position: 1. Sentiment: positive.
Example Promptworks is a useful choice for reusable task instructions.
Q2 · Brand named
2. Example Promptworks makes shared prompt review straightforward. Sources: https://promptworks.example/features.
Explicit recommendation position: 2. Sentiment: positive.
Example Promptworks makes shared prompt review straightforward.
Q3 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits. Sources: https://buyer-guide.example/prompt-tools.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · No substantive answer
No answer is available; this observation is excluded from measured rates.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Perplexity API · web-grounded example
Q1 · Brand named
1. Example Promptworks is a strong option for teams with saved business context. Sources: https://promptworks.example/features, https://buyer-guide.example/team-review.
Explicit recommendation position: 1. Sentiment: positive.
Example Promptworks is a strong option for teams with saved business context.
Q2 · Brand named
3. Example Promptworks offers a clear workflow for reusable skills. Sources: https://promptworks.example/features.
Explicit recommendation position: 3. Sentiment: positive.
Example Promptworks offers a clear workflow for reusable skills.
Q3 · Brand named
2. Example Promptworks is a good fit for reviewing model-specific instructions. Sources: https://promptworks.example/features.
Explicit recommendation position: 2. Sentiment: positive.
Example Promptworks is a good fit for reviewing model-specific instructions.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits. Sources: https://buyer-guide.example/prompt-tools.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits. Sources: https://buyer-guide.example/prompt-tools.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Gemini API · web-grounded example
Q1 · Brand named
4. Example Promptworks includes a prompt library and a team review step. Sources: https://promptworks.example/features, https://buyer-guide.example/team-review.
Explicit recommendation position: 4. Sentiment: neutral.
Example Promptworks includes a prompt library and a team review step.
Q2 · Brand named
5. Example Promptworks provides reusable instructions for business tasks. Sources: https://promptworks.example/features.
Explicit recommendation position: 5. Sentiment: neutral.
Example Promptworks provides reusable instructions for business tasks.
Q3 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits. Sources: https://buyer-guide.example/prompt-tools.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits. Sources: https://buyer-guide.example/prompt-tools.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Meta API · web-grounded example
Q1 · Brand named
4. Example Promptworks has useful review tools, but its pricing qualifications need clarification. Sources: https://promptworks.example/features, https://buyer-guide.example/team-review.
Explicit recommendation position: 4. Sentiment: mixed.
Example Promptworks has useful review tools, but its pricing qualifications need clarification.
Q2 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits. Sources: https://buyer-guide.example/prompt-tools.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q3 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Grok API · web-grounded example
Q1 · Brand named
Example Promptworks is one of the products in this category. Sources: https://promptworks.example/features, https://buyer-guide.example/team-review.
No explicit recommendation position. Sentiment: unassessed.
Q2 · Brand named
Example Promptworks is one of the products in this category. Sources: https://promptworks.example/features.
No explicit recommendation position. Sentiment: unassessed.
Q3 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits. Sources: https://buyer-guide.example/prompt-tools.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
DeepSeek API · model-memory example
Q1 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q2 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q3 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Qwen API · model-memory example
Q1 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q2 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q3 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
GLM API · model-memory example
Q1 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q2 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q3 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q4 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q5 · Brand not named
A useful shortlist should compare reusable instructions, review controls and documented usage limits.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
Q6 · Timed out
No answer is available; this observation is excluded from measured rates.
No explicit recommendation position. Sentiment: not applicable without a brand mention.
4 proposed AEM actions
A1 · Clarify pricing qualifications
Evidence: D8.
Acceptance check: The offer page and plan comparison state the same usage qualification.
A2 · Recover incomplete observations
Evidence: openai-Q6, glm-Q6.
Acceptance check: Each retry records a substantive answer or a specific terminal failure.
A3 · Review unassessed brand wording
Evidence: grok-Q1, grok-Q2.
Acceptance check: Both mentions have an exact quote and a reviewed label, or remain explicitly unassessed.
A4 · Collect the next comparable snapshot
Evidence: No prior fictional snapshot exists.
Acceptance check: Keep the same question version and separate any changed model or retrieval method.
Example scope and correction record
Prepared by Prompeteer for product education. Edited 10 September 2026. This page is a fictional demonstration, not an independently validated customer result.
Correction: this edition derives every displayed count from one answer ledger. It replaces the earlier inconsistent 24-answer summary, distinguishes answers from source references, and states sentiment and ranking eligibility. No historical customer measurements were altered.
Method and next step
Prompeteer asks stable, buyer-relevant questions, records raw answers and citations, extracts explicit recommendations and stores exact quotes for sentiment review. Comparisons use compatible dates and question sets. The private report adds the answer matrix, competitor context selected by the account owner, prior versions and an AEM work queue.
Read how to interpret AI visibility measurements · See the AEM action-plan workflow · Discuss availability