Contributing Editor
Former SEO strategist turned AI visibility researcher. Writes about what it takes to get cited, not just indexed.
Daniel Reeves spent six years helping brands win at organic search — until AI answer engines made him rethink everything he knew about discovery. After watching Perplexity and ChatGPT reshape how people find products, he shifted his focus to a newer question: how do you become the brand that AI recommends? He writes about generative engine optimization, citation strategy, and the messy transition from traditional SEO to AI-first visibility. His approach is practical — less theory, more "here's what we tested and what happened." He contributes to the DeepCited blog from Austin, TX.
Articles by Daniel Reeves
SaaS companies get cited in AI comparison responses by structuring content around feature matrices, use case segmentation, and comparison-optimized page architecture that answer engines can parse and extract when synthesizing 'best [category] software' answers.
You monitor your brand's visibility in AI search engines by establishing a baseline across all four major platforms (ChatGPT, Perplexity, Gemini, and Claude) using either manual query testing or automated monitoring tools that track both live search responses and training data citations.
Getting cited in AI search results requires four elements: structured content that AI engines can parse, clear entity definitions that establish your authority, source signals that build trust, and verification systems that confirm visibility across platforms.
Run a structured query set across all four engines—direct brand questions, category comparisons, and problem-solution prompts—then document which engines cite your brand, where citations appear in responses, and which source URLs they reference.
Most AI optimization guides skip the before/after. This guide covers five specific fixes tied to the highest-impact Citability Score dimensions, with concrete examples for each.
AI citation isn't one decision — it's three sequential filters: retrieval, training encoding, and generation confidence. Understanding each stage is the only way to diagnose why your brand isn't appearing in AI answers.
Optimize for AI search engines by implementing structured data markup, creating entity-clear content with direct answers, and verifying your brand appears in AI
Fix AI hallucinations by auditing what AI engines say about your brand, identifying the type, tracing the source, publishing authoritative content, and verifyin
Your brand isn't showing up in ChatGPT because of five structural gaps: training data absence, weak entity signals, low citability, poor structural readiness
AI engines recommend your competitor because of higher answer density, better structured data, stronger review signals, fresher content, and more external
AI Reference Rate measures what percentage of category-relevant queries result in an AI engine mentioning your brand — the successor to CTR for AI-first search.
AAO (Assistive Agent Optimization) optimizes your brand to be recommended by AI agents that execute tasks autonomously—booking appointments, making purchases
DeepCited Visibility Monitor, Otterly AI, and AthenaHQ are the strongest Scrunch alternatives for mid-market teams, offering AI visibility monitoring at
The best Rankscale alternatives for AI visibility monitoring in 2026 are DeepCited for dual-mode scanning with citation verification, Peec AI for multi-LLM
The best PromptWatch alternatives are DeepCited for closed-loop verification, Otterly AI for multi-engine tracking, and Profound for enterprise teams.
Profound monitors AI visibility but doesn't fix it. Ahrefs GEO tracks live search only. DeepCited closes the loop with monitoring, creation, publishing, and
DeepCited is the best Profound alternative for mid-market brands—delivering the full Monitor → Create → Publish → Verify loop at $149-899/mo instead of
Profound's $96M Series B signals enterprise AI visibility vendors are moving up-market, leaving mid-market brands with fewer accessible monitoring options as
Perplexity uses real-time web retrieval with RAG to cite sources for every query, while ChatGPT relies on training data with a cutoff of April 2023 for GPT-4 and October 2023 for GPT-4o. Learn the
DeepCited, Otterly AI, and AthenaHQ offer mid-market AI visibility monitoring at $149-899/mo. Compare pricing, features, and implementation speed vs. Peec AI's
The best Otterly AI alternatives depend on whether you need monitoring-only or a closed-loop solution. Compare DeepCited, Profound, and Otterly AI.
Optimize for both ChatGPT's training data and browsing mode. Most brands only optimize for one—here's how to capture citations in both.
Google AI Overviews pull from organic results but prioritize structured data, answer density, and entity clarity. Learn the schema markup and formatting
Goodie AI is a content optimization tool, not a visibility monitoring platform. DeepCited, Profound, and Otterly AI offer full-stack solutions that monitor
GEO and SEO share foundational signals like authority and backlinks, but diverge sharply on structured data weight, entity clarity, and freshness signals in
A good GEO score in 2025 ranges from 60-80 for most mid-market brands. Learn industry benchmarks, performance ranges, and how to improve AI visibility.
Go to deepcited.com/analyze, enter your brand name, and click Scan Now. Get a visibility report across 4 AI engines in under 60 seconds with no signup required.
CMOs measure AI visibility impact by tracking composite visibility scores, monitoring direct traffic spikes, and using multi-touch attribution models that
DTC brands should establish baseline AI visibility now, optimize product data for entity clarity, and create answer-dense content before ChatGPT shopping
DeepCited is the best AthenaHQ alternative, combining AI visibility monitoring across 5 engines with a 6-agent Citation Engine that creates citation-optimized
The best AIclicks alternatives are DeepCited for full-loop visibility management, Profound for enterprise teams, Otterly AI for budget-conscious monitoring
B2B SaaS companies improve AI visibility by monitoring what AI engines say, creating citation-optimized content assets, and verifying citations in live
Your AI visibility strategy is broken if you're not tracking what AI engines say about your brand, if competitors appear in AI responses where you don't, or if