9 of 10 priority categories have owned crawl evidence.
Search and AI systems cannot recommend content they cannot crawl, index, or map to a buyer path.
AD SEO Intelligence / Executive
Executive content discovery brief
A leadership view of what is weak, why it matters, what to approve first, and the modeled business value.
View modeCategory, competitor, and AI answerability intelligence
Executive summary only. Digital team work and evidence are separated into their own product pages.
Real V2Hubbard Supply Co.Affiliated Distributor network pilot
AD SEO Intelligence
Hubbard Supply Co. is not yet discoverable, clear, trusted, and actionable enough across SEO and AI.
SEO and AI are not separate workstreams here. The same content signals determine whether buyers, Google, and AI assistants can find Hubbard Supply Co., understand its catalog, trust its authority, and use the site to take the next step.
AD SEO Readiness81/ 100
7 priority categories need clearer taxonomy, metadata, or buyer language.
The site has to say what the distributor sells, who it serves, and where it serves them in machine-readable language.
0 of 10 observed AI buyer prompts named Hubbard Supply Co..
AI assistants tend to trust visible consensus, third-party proof, and repeated category association.
Category pages need stronger quote paths, FAQs, source facts, and buyer-ready answer blocks.
Found content only creates value when a buyer or AI assistant can use it to answer the next question.
Findability + Clarity proof
7 priority categories need review before the digital shelf is healthy.
The crawl shows how much usable category evidence is available now. Categories with thin or missing owned pages need clearer metadata, buyer language, and quote paths before search engines or AI systems can confidently use them.
Authority proof
0 of 10 OpenAI buyer prompts named Hubbard Supply Co..Hubbard Supply Co. was named in 0 of 10 observed OpenAI buyer prompts.
The observed prompt battery named competitors and local suppliers instead, including Grainger, Fastenal, Home Depot, Lowe's, Amazon. This proves why stronger category evidence, local supplier positioning, and external validation matter.
Open full reportFix extractability and crawl coverage for Electrical.
Findability / ClarityOwner: Digital / ecommerce
Ship: Crawlable category URL, title, meta, H1, and internal links.
Why: The first priority is making the category easy for search engines and AI systems to access and understand.
Metric: Mapped owned category pages and crawlable category coverage.
Measure: Rerun the customer crawl and compare mapped category count, clarity score, and crawl depth.
Build buyer-ready source content for the highest-risk prompts.
ActionabilityOwner: Content / product marketing
Ship: Buyer guide, FAQ block, and quote-path copy for the weakest category.
Why: AI and search snippets need concise, citable answers grounded in actual catalog and service-area proof.
Metric: AI answerability score and observed prompt mention rate.
Measure: Rerun the OpenAI visibility battery and compare target mentions, cited competitors, and answerability scores.
Add external proof and monitoring.
Authority / measurementOwner: Marketing / leadership
Ship: Third-party citation targets, partner proof, local/service-area validation, and monthly score tracking.
Why: External signals help AI systems decide whether the distributor is trusted enough to recommend.
Metric: Observed AI mention rate, citation share, and category clarity trend.
Measure: Track monthly deltas across the four pillars and compare against the baseline report.
Modeled opportunity
$90k-240k
Directional exposure based on crawl weakness, category gaps, and observed AI visibility misses. Connect GSC, CRM, and conversion data to turn this into measured revenue impact.