How Real Teams Use Entify to Win AI Search

Run a Brand DNA analysis on a new client's URL and within minutes present an Entity Strength Score (0–100), AI Citation Likelihood rating, and a map of primary and secondary entities. That single report replaces hours of manual audit work and gives your pitch a data-backed foundation no competitor can match.

• Entity Strength Score — Quantify each client's current AI readiness
• AI Citation Likelihood — Show clients exactly how likely AI systems are to cite them
• Entity Gap Analysis — Identify which entities the client should own but doesn't

Growth Machine analyzes your client's site against their saved entities and existing pages, then returns a Growth Opportunity Report with ranked content gaps, opportunity scores, audience segments, and page blueprint recommendations. Use that report to justify every strategy recommendation with data, not intuition.

• Ranked Content Gaps — Prioritize which pages to build first based on opportunity score
• Audience Segment Map — Show clients exactly which audiences they are missing
• Blueprint Recommendations — Convert gaps directly into actionable page blueprints

Select an entity, set the business goal (educate, convert, build authority), and generate 8–12 interconnected pages — hub, pillar, detail, comparison, how-to, FAQ, landing, and blog — each with answer blocks, question-led headings, and schema markup. AI Agents handle background entity research, link analysis, and SEO auditing while your team focuses on client relationships.

• 8 Page Types — Complete topical coverage in a single generation
• Schema-Enriched Output — Article, FAQPage, HowTo, and BreadcrumbList JSON-LD built in
• 5 Specialist AI Agents — Entity Researcher, Content Writer, Link Builder, Growth Analyst, SEO Auditor

Enter your brand name, website, and a description. Brand DNA returns an Entity Strength Score (0–100), an AI Citation Likelihood rating (Low to Very High), and a structured map of the entities your brand is — and isn't — connected to. No SEO jargon. No guessing. Just a clear picture of your current AI visibility and where the gaps are.

Queue specialist tasks — entity research, content outlines, link analysis, growth gap analysis, or a full SEO audit — and let Entify's five AI Agents handle the analysis in the background. Each agent runs through a visible queued → running → completed lifecycle. Results surface inside the dashboard, ready for you to review and act on. No need to hire specialists for work the platform handles automatically.

Authority compounds through consistent publishing — not sporadic bursts. The Editorial Calendar gives you a month-view schedule tied to real content pages, so you can see what's going out and when. AI Content Suggestions keeps progress going after publishing by surfacing a priority-ranked improvement queue across schema, entity coverage, readability, and structure, so you always know what to fix next.

Map your product catalog into a structured entity landscape: products as Product entities, brands as Organisation entities, materials and features as Concepts, and target customer segments as audience entities. Brand DNA measures how well AI currently associates your store with these entities, giving you a baseline Entity Strength Score to improve against.

For each product category, generate a connected ecosystem: a category hub page, in-depth buying guides (pillar), product comparison pages, how-to-choose tutorials, and FAQ pages answering the exact questions AI shopping assistants resolve. Every page includes schema markup, answer blocks, and internal link intents connecting the ecosystem together.

Internal Link Builder recommends contextual links between product pages, category hubs, comparison content, and buying guides — with suggested anchor text and status tracking (active, AI-suggested, broken). Page Builder gives your team direct editing control over every page's title, slug, meta data, and content HTML before publishing, ensuring product content meets both brand and conversion standards.