01
Source
Compare the received page with its structured content. Inspect retained facts, links and any limitations.
Evidence & methodology
See what Optiview delivered. Measure what happened next.
Inspect the information you publish for AI. Verify what Optiview delivered. Then use your monitoring tools to measure what happens next.
A source you can inspect
Know what you’re putting into the world.
Follow your content from the received page to the response Optiview delivers.
02
Reviewed content
Review the brand details, answers and supporting context your team prepares. Your organization owns factual approval.
03
Publication
Identify the content version made live. Saving a draft is separate from publishing.
04
Delivery
Check which representation and publication version Optiview served through the configured connection.
A published version records what went live. It does not prove that a separate reviewer signed off.
Measure the next step
A clearer source is the starting point.
Optiview gives you control over what you publish. AI services decide what they retrieve, use and cite. A clearer source does not guarantee inclusion or better outcomes.
How publishing and measurement work togetherPreparation, publication and delivery
Check the content, version and response associated with your page.
AI answers, citations and business results
Monitor observed changes over time. A delivery record alone does not establish AI retrieval, indexing, use or citation.
A practical evaluation
Start with a question. Keep the comparison fair.
Use Optiview alongside your existing AI visibility and analytics tools.
- 01
Set a baseline
Choose the questions, reference facts and business measures that matter. Record your starting observations.
- 02
Document the change
Review and publish the content you want to improve. Verify the delivered response and keep the page, version and evaluation dates together.
- 03
Observe what follows
Track answers, citations and relevant visits or inquiries. Compare repeated observations, not a single response.
Models, indexes and other sources also change. Before-and-after movement alone does not establish that Optiview caused it.
For a closer look
The checks behind the source.
Our internal validation tests known extraction and composition behavior. It is not an independent benchmark of improved AI answers or complete extraction on every website.
Parser validation resultsRecorded tests, versions and scope
REVIEWED RELEASE · October 11, 2026
Recorded parser and composition validation
An internal engineering check of a fixed corpus. It checks literal code preservation and faithful composition, not improved AI answers or complete extraction on every website.
- Source executions
- 660
- Unexplained differences
- 0
- Composed outputs
- 9
- Unchanged extraction abstentions
- 21
Frozen660-case replay against accepted5a6e15c4; nine source-owned primary heading/description moves. Inventory, coverage, review, diagnostics and candidates unchanged. Separate exposed ecommerce/software/service/technical/ambiguous fixtures test source grouping; not universal or independent AI-outcome validation.
Extraction
semantic-v3.10.8Composition composition-v2.0.0Corpus, checks and scope
Corpus: 164 gold inputs, 378 mutations, 18 meaningful controls and 100 captured real pages.
- Review of Markdown-only structural differences, with inventory, coverage and source-review equality against the previous reviewed baseline.
- Literal code payload preservation, source-prose checks and complete occurrence mapping.
- Destination preservation and deterministic composition.
- Adversarial cases covering distinct topics, unequal memberships and ambiguous directory spans.
These versions identify the source-code baseline reviewed for this site. For an individual result, inspect its returned versions and source mode. A static website label does not attest to every deployed environment.
How content is prepared and reviewedSoftware, AI suggestions and your team’s role
Software structures received content.
Extraction and composition organize source content without a generative model. They do not create new descriptions or decide which claims are true.
AI suggestions are a separate step.
Detected website FAQs retain their wording and attribution. For eligible suggestions, the demo uses the submitted page and, when needed, one selected same-origin page to draft an answer. A separate AI-assisted check evaluates whether the suggested answer is supported by the available source evidence. Inspected pages and supporting sources are counted separately.
Your team checks the facts. AI-assessed support is not independent truth verification. Edits need new review; unsupported or conflicting evidence can yield no answer. The demo does not add drafts to the extracted source or publish them.
How reviewed content enters publishingExtraction and composition: two separate checks
Extraction records source content, structure and link occurrences. Composition presents equivalent directory groups once and organizes source-owned headings, offerings, promotions, customer information and attributed reviews when their relationships can be verified.
- Extraction and composition use no generated descriptions, AI importance ranking or cross-page fetching.
- Distinct groups and unequal memberships remain separate. Original wording, ordered destinations and occurrence evidence remain available; the organized view can reorder complete source-owned groups with explicit mappings.
- A separately versioned presentation pass adds separators to generated link labels only where the same source HTML establishes block boundaries. A separate readable presentation can join source-owned title lines, label image descriptions, separate utility context and omit redundant labels for the same source link. Independently matched standalone interface controls can be suppressed. Original labels, controls and Markdown remain available in evidence.
- Ambiguous cases retain the original representation.
Compare the received page, original compiler output and composed source. Evidence-enabled previews include original Markdown and the occurrence inventory. A separate demo suggestion may inspect one declared same-origin link, generate an answer and check its claims against eligible excerpts. That answer is labeled separately and is never added to the extracted source or published by the demo.
A fact missing from the original output is an extraction issue. Poor presentation of retained information is a composition issue. Preserved inventory does not mean every element of an arbitrary website was extracted.
Source checks and exact-source approval
Source checks can pass, require review or report an unavailable source. Warnings may identify unresolved relationships, competing states or incomplete content. Passing checks does not certify that the website supplied every fact.
The public demo may show useful received content as a qualified preview when source checks require review. This is inspection only: it does not approve the source for publishing. Holding pages and unusable responses remain outside the transformation view.
Publishing brand content does not approve a flagged source. An authorized user must review the published-version preview and approve that exact page source. Relevant source, settings or version changes require another approval.
Saved additions and published versions
Inspect the Brand Details and Added Content that match each page, together with the publication version used for delivery. Your organization manages factual approval; a published version does not prove a separate reviewer signed off.
Connection and delivery checksWhat a response can—and cannot—tell you
Optiview can fetch a supported public URL, use configured browser rendering, or process authorized HTML supplied through an API integration. Source checks look for known error responses, access challenges and incomplete page shells; automated validation does not catch every failure.
Published Brand Details and Added Content are combined with the matching page. Eligible website requests must explicitly accept text/markdown; API integrations use their own authorized delivery path.
Supplying authorized HTML can avoid an external fetch. It does not execute missing client-side content, guarantee extraction quality or remove security requirements.
Requester identity needs separate evidence.
A User-Agent label or preference for Markdown is not verified identity or a crawler adoption rate. Report independently verified, unverified and test requests separately. A manual request tests delivery; it is not evidence of crawler adoption.
Future benchmarksProposed evaluations, not published results
Source retention
Planned: establish an independently reviewed reference set, then measure retained, omitted or changed facts, links, table relationships and qualifications, along with unsupported additions. Evaluate initial HTML and browser-rendered extraction separately, reporting settings and failures alongside results.
Controlled answer quality
Planned: compare the original source with Optiview output using the same questions, model, prompt and settings. Separate extraction-only output from output with approved additions. Use repeated trials and blind scoring against reference facts to measure correct answers, unsupported assertions and unanswered questions.
These independent benchmarks remain planned. Internal regression tests do not establish universal extraction quality, and a controlled answer-quality result would not establish real-world crawling, indexing or citation improvements.
See for yourself
Start with your own website.
Inspect a preview, or talk with us about evaluating a supported setup.