SEO & Competitor Analysis with URL Categorization

// Example: Competitor analysis and backlink categorization pipeline
async function analyzeCompetitorLandscape(competitorDomains, myBacklinks) {
    const competitorProfiles = [];

    // Categorize all competitor domains
    for (const domain of competitorDomains) {
        const categoryData = await urlDatabase.lookup(domain);
        competitorProfiles.push({
            domain: domain,
            categories: categoryData.iab_v3_categories,
            tier4_focus: categoryData.iab_v3_tier4,
            personas: categoryData.personas,
            popularity: categoryData.popularity_rank
        });
    }

    // Analyze category distribution across competitors
    const categoryFrequency = aggregateCategoryPresence(competitorProfiles);

    // Identify category gaps (competitors have, we don't)
    const myCategories = await urlDatabase.lookup(myDomain);
    const contentGaps = categoryFrequency
        .filter(cat => !myCategories.iab_v3_categories.includes(cat.id))
        .sort((a, b) => b.competitorCount - a.competitorCount);

    // Categorize and score backlinks for relevance
    const categorizedBacklinks = await Promise.all(
        myBacklinks.map(async (link) => {
            const linkData = await urlDatabase.lookup(link.domain);
            return {
                ...link,
                categories: linkData.iab_v3_categories,
                relevanceScore: calculateRelevance(linkData, myCategories),
                authorityTier: linkData.popularity_rank,
                spamRisk: assessSpamCategories(linkData.iab_v3_categories)
            };
        })
    );

    return {
        competitorProfiles,
        contentGaps,
        backlinkAnalysis: {
            total: categorizedBacklinks.length,
            relevantLinks: categorizedBacklinks.filter(l => l.relevanceScore > 0.7),
            highAuthority: categorizedBacklinks.filter(l => l.authorityTier <= "10K"),
            potentialSpam: categorizedBacklinks.filter(l => l.spamRisk > 0.5)
        }
    };
}

// Calculate topical relevance between linking domain and target
function calculateRelevance(linkingDomain, targetCategories) {
    const overlap = linkingDomain.iab_v3_categories
        .filter(cat => targetCategories.iab_v3_categories.includes(cat));
    return overlap.length / Math.max(targetCategories.iab_v3_categories.length, 1);
}

// Example: SERP competitor identification and analysis
async function analyzeSERPCompetitors(serpResults, targetKeyword) {
    const competitorInsights = [];

    for (const result of serpResults) {
        const domain = new URL(result.url).hostname;
        const categoryData = await urlDatabase.lookup(domain);

        competitorInsights.push({
            position: result.position,
            domain: domain,
            url: result.url,
            primaryCategory: categoryData.iab_v3_labels[0],
            allCategories: categoryData.iab_v3_labels,
            popularityRank: categoryData.popularity_rank,
            targetPersonas: categoryData.personas.slice(0, 5),
            domainType: classifyDomainType(categoryData)
        });
    }

    // Segment SERP by domain category types
    const serpComposition = {
        publishers: competitorInsights.filter(c => c.domainType === 'publisher'),
        brands: competitorInsights.filter(c => c.domainType === 'brand'),
        aggregators: competitorInsights.filter(c => c.domainType === 'aggregator'),
        forums: competitorInsights.filter(c => c.domainType === 'community')
    };

    return {
        keyword: targetKeyword,
        competitors: competitorInsights,
        serpComposition,
        categoryConcentration: calculateCategoryConcentration(competitorInsights),
        entryDifficulty: assessEntryDifficulty(competitorInsights)
    };
}

// Identify link building opportunities from competitor backlinks
async function findLinkOpportunities(competitorBacklinks, targetCategories) {
    const opportunities = [];

    for (const backlink of competitorBacklinks) {
        const domainData = await urlDatabase.lookup(backlink.domain);
        const relevance = calculateCategoryOverlap(domainData, targetCategories);

        if (relevance > 0.5 && domainData.popularity_rank <= "100K") {
            opportunities.push({
                domain: backlink.domain,
                relevanceScore: relevance,
                authority: domainData.popularity_rank,
                categories: domainData.iab_v3_labels,
                personas: domainData.personas,
                priority: relevance * (1 / rankToNumber(domainData.popularity_rank))
            });
        }
    }

    return opportunities.sort((a, b) => b.priority - a.priority);
}