OPEN THE DELIVERABLE
See the finding.
Understand the next step.
An assessment should help you decide what to do, not leave you with another unexplained score. Explore the evidence, interpretation, and priorities below.
Inspect the evidence
Open a finding to see what was checked and why it matters.
Prioritise the work
Distinguish a specific issue from a useful note or an untested assumption.
sample.example
Demonstration data. No live scan was run.
4 illustrative findings, not scan results.
Not a percentage of AI visibility.
Review these findings first.
These are specific observations, not proof that your business is absent from AI search.
- Search crawler policy needs reviewAsk the site owner whether this restriction is intentional. Review search access separately from model-training preferences before changing it.
- The service description needs a clearer answerState the service, audience, and project process in visible text. Add supporting details the business can substantiate.
A title that identifies the businessObserved
Illustrative HTML: <title>Harbor Studio | Website design for local businesses</title>.
The example title names the business and its service. This does not establish a ranking or an AI recommendation.
Keep titles accurate and specific to each page. Confirm the service description with the business.
Search crawler policy needs reviewReview
Illustrative robots.txt: User-agent: OAI-SearchBot followed by Disallow: /.
This example asks OpenAI's search crawler not to crawl the site. A robots policy is not a live test of crawler access or proof of zero visibility.
Ask the site owner whether this restriction is intentional. Review search access separately from model-training preferences before changing it.
The service description needs a clearer answerReview
Illustrative opening copy: We deliver innovative digital solutions. It does not identify the deliverable, intended customer, or next step.
A reader has to infer what is being offered. This is a qualitative content observation, not a search-engine scoring rule.
State the service, audience, and project process in visible text. Add supporting details the business can substantiate.
No JSON-LD block in the exampleNote
The fictional HTML contains no application/ld+json script block.
JSON-LD is one way to describe entities. Its absence is not an automatic failure and does not establish whether other structured data is present.
Consider supported structured data that matches the visible page. Do not add invented reviews, ratings, or unsupported claims.
What this report does and does not verify
Inspected: Fictional homepage and robots.txt. Demonstration data only; no website was scanned., without executing the site's scripts.
Source: sample.example (fictional). No source was fetched.
Method: contextlumen-sample-v1. These are fictional examples, not completed automated checks. Counts are unweighted checklist results, not a platform score. Missing JSON-LD is informational, not an automatic failure. The 80-word threshold is a screening heuristic.
Training: GPTBot is disallowed for this page. Fictional training-policy example. Training permissions and search discovery are different decisions.
- DEMONSTRATION DATA ONLY. Harbor Studio and sample.example are fictional examples, not clients or measured results.
- The four findings explain the report format. They are not the complete automated checklist or an actual scan.
- No ChatGPT, Gemini, Perplexity, or Google AI answer was collected for this example.
- No website changes were made. No before-and-after improvement is claimed.
Illustrative redirect trace: 200 https://sample.example/
Want help with what comes next?
The deeper work connects these findings to buyer questions, competitor comparisons, and your business goals. We agree the scope before making changes.