AnswerOS™ is dofollow.com's internal system for AI search visibility. It identifies the prompts, sources, and citations shaping AI recommendations — then powers the strategies we execute to close the gap.
AI doesn't choose brands at random. It relies on trusted sources to determine which companies appear in recommendations, comparisons, and buying conversations.
AnswerOS™ analyzes buyer prompts, AI citations, and visibility gaps to show where your brand is missing — then feeds that diagnosis into everything we build for you.
Understand the prompts that drive category discovery and vendor selection.
Identify the websites and publications shaping AI-generated answers.
Determine why your brand is missing and what needs to change.
We identify your ICP, competitors and the prompts buyers ask across every stage of the buying journey.
Problem aware → Solution exploring → Comparing options → Evaluating vendors → Decision stage
We test buyer-relevant queries across AI platforms to identify cited sources, competitor visibility, and visibility gaps.
Every uncited query is classified by failure type — Low Citability, Authority Gap, SEO Issue, Missing Asset, or Entity Gap — because each one calls for a different fix, not a generic placement.
Each failure type routes to a different lever — a link, a mention, or a listicle placement — aimed at the exact publishers already earning citations in the category, not wherever a placement can be found.
We track citation rates and share of voice over time, testing every query three times and averaging the result, since monthly citation volatility runs as high as 55%.
Powered by AnswerOS™ intelligence and leading AI visibility datasets, including Peec.ai.
No single signal decides the strategy. AnswerOS™ cross-references six layers of data and knowledge to identify where your brand needs to appear — and why.
ICPs, use cases, requirements, objections, comparisons, and deal breakers.
Prompts, mentions, citations, answer position, competitors, source retrieval, and share of voice.
Organic rankings, domain authority, traffic, backlink data, page strength, and emerging source opportunities.
Publisher type, topical fit, retrieval rate, citation rate, accessibility, inventory, cost, and editorial constraints.
Features, claims, target pages, missing assets, entity signals, and representation gaps.
Placements, status, quality checks, live-link monitoring, losses, replacements, and outcomes.
Mid-market HR platform competing in a crowded AI-recommended category
Brand visibility score across AI engines
Share of voice in category queries
Most-retrieved domain across HR recognition queries
Retrieval rate across tested prompts
Nectar HR was present in Google rankings but absent from AI-generated answers for "best employee recognition software" queries. We identified the citation sources driving competitor recommendations and built a brand presence program targeting those exact domains.
We test the prompts buyers actually use, identify why your brand isn't being recommended, and uncover the sources influencing AI answers.
Every placement, mention, and content recommendation is tied to the specific sources AI platforms already trust for your category.
We don't stop at reporting. We execute the backlinks, brand mentions, listicles, and content assets needed to increase visibility.
