AI + Content Dashboard

See the centroid your content needs to hit instead of optimizing around a single query or prompt.

Use it when you need to re-center the opportunity before deciding what the page should cover.

Map the entity fan-out around a page so you can see the full topic cluster and the graph your content needs to capture.

Use it when the page needs broader topical coverage, stronger entity context, or a clearer relationship to the surrounding graph.

Open a crawled page's current Spotlight Focus, paste proposed HTML, and compare the recalculated entity basket before publishing.

Use it when you want to validate whether a rewrite changes the page's primary entity and topic focus while retaining its current incoming anchor text.

Compare page chunks to the top embedding cluster, edit the highlighted copy directly, and measure the proposed revision.

Use it when you need evidence that the page is positioned for AI answer selection or want to validate new copy before publishing.

Use the geometry view to identify the chunks that align with the target coordinate space and the chunks drifting away.

Use it when the page is close but needs section-level realignment before rewriting.

See what survives when the page is compressed into a shorter representation and what gets lost in that reduction.

Use it to understand the source signal an LLM is likely to carry forward into summaries, briefs, and answer material.

Find pages occupying the same embedding coordinate space and test whether revisions create enough semantic separation.

Use it when internal pages are cannibalizing each other or two assets need clearer independent roles.

Find pages with high keyword duplication and test whether revisions create a cleaner lexical footprint.

Use it when keyword duplication points to pages that need clearer wording, intent, or coverage boundaries.

Test whether new copy expands the entity coverage and topical relationships needed to capture the surrounding graph.

Use it after entity fan-out to confirm the rewrite improves coverage before publication.

Compare title, description, URL, and body coverage against an outperformer, then recalculate an edited target.

Use it when a task shows missing query terms or weak exact-topic coverage.

Visualize how far apart query concepts occur in every scored field and test a clearer phrase or sentence.

Use it when all terms exist but the page expresses their relationship weakly.

See title, description, URL, and body BM25 contributions side by side with the outperformer.

Use it to identify the one field that offers the clearest defensible improvement.

Compare lexical body relevance using BM25's diminishing returns, term rarity, and length normalization—not TF-IDF frequency or embedding similarity.

Use it when actual search words are missing, over-repeated, or diluted by unrelated body content.

Compare weighted expansion coverage and test coherent supporting passages against the outperformer.

Use it when a page omits related terminology that matches the intended query meaning.

See words, sentences, and query-relevant passage breadth, then test missing answers or examples.

Use it when a page needs more useful detail rather than simply more text.

Compare every passage's cosine similarity with the query-specific support boundary, inspect its exact contribution, and measure an edited target.

Use it when the Semantic Focus versus Dilution factor trails; use Orbital Drift separately for passage-coordinate drift.

See the direct title/query cosine similarity beside the outperformer and measure a clearer edited title.

Use it when the META Title Similarity factor trails even though lexical title coverage may already be adequate.

Compare each heading's meaning with the search phrase, see its hierarchy influence, and test an edited heading set.

Use it when headings label sections weakly or the heading hierarchy does not clearly support the page's search intent.

Inspect each meaningful search word's TF-IDF contribution, compare title evidence, and measure an edited title.

Use it when the page title's TF-IDF factor trails a Ranking Sensor outperformer.

Inspect each meaningful search word's TF-IDF contribution, compare description evidence, and measure an edited description.

Use it when the META description's TF-IDF factor trails a Ranking Sensor outperformer.

Inspect each meaningful search word's TF-IDF contribution, compare visible content, and measure an edited body.

Use it when the HTML TF-IDF factor trails without confusing it with BM25 or semantic similarity.

See the 3:2:1 title, META-description, and body calculation and test a clearer homepage draft.

Use it when a landing page trails because its host-wide homepage prior is weak.

Compare retained citation relevance without mixing authority or Link Flow into the score.

Open it from a Ranking Sensor task, then use Link Spotter for legitimate opportunity research.

Compare the Wikidata-backed QID, label, official website, and exact normalized-host match.

Use it to diagnose factual identity gaps without duplicating Spotlight's page-topic graph.