Credit Rebuild Buyer
AI recommendation signal analysis across 211 domains for the Credit Rebuild Buyer persona in Mortgage Lenders.
This report tracks how AI models and search engines recommend companies across 100 industries. If you want the same analysis run specifically against your own site and competitors, get in touch.
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Measure open-web share of voice
The widest lens in this report: billions of web pages checked for places where this segment's topics and brands appear together. Domains with high co-occurrence are the ones the open web already associates with this market, the same association LLMs absorb in training.
Where the numbers come from
We scan seven full web crawls (roughly monthly, December 2025 through June 2026, about two billion pages each) for pages that link to a tracked brand domain and also contain one of this segment's topic phrases. Hit counts are exact; the count of distinct publishing websites is a close estimate, so it is presented as approximate.
What's on this page
Segment-level totals, a top-domains-by-co-occurrence chart, and the full domain table.
Open web presence at a glance
How much of the open web connects Credit Rebuild Buyer's brands with its topics: pages that link to a tracked brand domain and also contain one of this segment's topic phrases. Hit counts are exact; the publishing-website count is a close estimate.
Top domains by open-web presence
The brand domains the open web most often links in the same places it discusses Credit Rebuild Buyer's topics. Topic Co-occurrences requires the segment's own vocabulary on the page; Total Appearances counts the domain alongside any tracked phrase; Blended merges the two on a log scale (co-occurrence weighted higher, 0 to 100). The table follows the selected view.