AI Visibility Measurement
We measure mentions, citations, competitors, share of recommendation, sentiment, and answer accuracy at the prompt level, so your team sees the exact answers shaping buyer perception.
New: SolCrys Names Raejeanne Skillern, Former AWS CMO and Intel Leader, as Strategic Advisor →
SolCrys AEO Execution Platform
SolCrys measures how your brand appears across ChatGPT, Gemini, Google AI Overviews / AI Mode, and Perplexity on eligible plans, then uses your Corporate Context to turn weak answers into content, citation, and marketplace actions your team can approve and verify.
Answer Engine Optimization (AEO) is the practice of making brand facts, proof, and pages easier for AI systems to retrieve, trust, cite, and summarize. SolCrys connects prompt-level measurement with crawlable, evidence-backed content strategy.
SolCrys closes the loop on AI search visibility. Each shipped action is tied to the same prompt set so teams can see which fixes actually changed the answer.
We measure mentions, citations, competitors, share of recommendation, sentiment, and answer accuracy at the prompt level, so your team sees the exact answers shaping buyer perception.
Your approved facts, claims, positioning, proof, and guardrails become the operating boundary for every AEO action SolCrys recommends or turns into reviewable work.
SolCrys turns answer gaps into reviewable briefs, page-update drafts, comparison sections, FAQ improvements, and source recommendations instead of leaving your team with screenshots.
After an action ships, we re-test the same prompt set and connect the shipped fix to citation, accuracy, and recommendation movement.
Heads of SEO, organic growth, and demand generation
Move from keyword and ranking reports to prompt journeys, citation gaps, answer accuracy, and content actions your team can defend internally.
Marketplace, DTC, and digital shelf teams
Audit how AI shopping assistants read your listings, reviews, product Q&A, availability, and source coverage before they recommend a product.
SEO, content, and digital strategy agencies
Package AEO audits, prompt monitoring, fix recommendations, and action-to-result reporting without turning every client workflow into custom manual work.
Brand safety, digital, and marketing operations teams
Use Corporate Context and human approval to keep AI-search execution factual, governed, traceable, and aligned with your approved public claims.
AEO Fundamentals
Learn what Answer Engine Optimization is, why it matters, and how brands can structure content to be cited accurately by AI answer engines.
AEO Fundamentals
Learn what an AI answer gap is, why it matters for AEO, and how marketing teams can turn weak AI answers into practical content briefs.
How SolCrys Works
Corporate Context gives AI marketing agents the brand facts, claims, guardrails, and evidence they need to execute safely across AEO workflows.
Buyer Guides
AEO platforms split into two architectures: dashboards measure and report; execution engines diagnose, fix, and verify. This guide compares 6 use cases, walks through 5 real scenarios, and ends with a decision tree.
AEO Fundamentals
Compare SEO and Answer Engine Optimization, including goals, content formats, measurement, and the role of technical SEO in AI discovery.
Measurement
A practical guide to measuring brand mentions, citations, sentiment, and competitive position across AI answer engines.
Measurement
Learn how to monitor whether ChatGPT mentions, cites, or misrepresents a brand across high-intent customer prompts.
Measurement
AI Share of Recommendation measures how often answer engines recommend a brand, not just whether they mention it. Learn how to track and improve it.
Prompt Intelligence
A practical guide to building an AI search prompt set across category, comparison, risk, implementation, competitor, and brand-specific prompts.
Retail AEO
Retail AEO helps brands become visible, accurate, and recommended inside AI shopping assistants such as Amazon Rufus, Walmart Sparky, and ChatGPT Shopping.
Retail AEO
Shopify's Q1 2026 enterprise data shows AI-referred sessions convert nearly 50% higher than organic search, with 14% higher AOV and 55% landing on product pages. Here is how to translate that into a Retail AEO program your team can actually run.
Retail AEO
A practical Amazon Rufus optimization guide for brands that want to improve AI shopping recommendation visibility through better listings, reviews, Q&A, and prompt testing.
For Agencies
A practical guide for agencies launching AEO services, from AI visibility audits to Corporate Context, prompt sets, client workspaces, and action-to-result reporting.
Technical Readiness
A practical checklist for making website content crawlable, indexable, structured, and answer-ready for AI search and answer engines.
Risk Monitoring
AI hallucination risk monitoring helps brands detect inaccurate, outdated, or unsupported claims in AI-generated answers and turn them into governed correction workflows.
Citation & Source Influence
A 5-step framework to identify which sources AI engines cite for your competitors but not for your brand, and the recovery actions for each gap type.
Retail AEO
A scoped 5-step diagnostic for evaluating how priority SKUs may perform across retail AI assistants such as Amazon Rufus, Walmart Sparky, and ChatGPT Shopping, with the Answer Gap matrix applied to retail.
Retail AEO
Walmart Sparky appears to use a different discovery pattern than Amazon Rufus. This guide breaks down practical Sparky readiness factors, a 30-minute audit, and recovery actions for marketplace brands.
Retail AEO
ChatGPT Shopping recommends products inside ChatGPT conversations using a different data flow than marketplace assistants. This guide breaks down public signals, practical readiness checks, and the optimization playbook.
Retail AEO
Retail AI assistants appear to use customer reviews and Q&A as evidence for product fit. This guide breaks down review attributes, Q&A coverage, and compliant customer-question workflows.
Retail AEO
12 specific listing patterns — from title tokenization to bullet structure to A+ content blocks — that improve answer-readiness for retail AI assistants such as Amazon Rufus, Walmart Sparky, and ChatGPT Shopping. Each pattern includes before/after examples.
Retail AEO
Agentic commerce — AI agents that autonomously research, compare, and purchase on behalf of users — is moving from research demos to production in 2026. This guide breaks down the 8 readiness dimensions and a 90-day roadmap.
Citation & Source Influence
AI engines like ChatGPT, Perplexity, Google AI Overviews, and Claude choose sources using overlapping but distinct signals. This guide maps the 7 signals that drive citation eligibility and the engine-specific weighting differences.
Citation & Source Influence
AI engines cite three distinct source layers — owned (your site), earned (PR/editorial), and community (Reddit/G2/forums). This guide explains how to balance investment by category and life stage.
Citation & Source Influence
AI engines cite Reddit, G2, and niche forums disproportionately when answering buyer prompts. This guide is the practitioner playbook for earning community citations without becoming spam — with the 7 rules of native engagement.
Citation & Source Influence
AI engines preferentially cite 5 specific content patterns. This guide breaks down the content-source match framework, the 12 examples of cited content, and the slow-burn strategy that compounds without manipulation.
Buyer Guides
A practitioner buyer guide for choosing an AEO/AI visibility platform in 2026. The 10 questions that separate dashboard tools from execution platforms, plus the red flags to avoid.
Buyer Guides
An honest practitioner comparison of the 12 best AEO (Answer Engine Optimization) tools in 2026 — SolCrys, Profound, AirOps, HubSpot, Otterly, Peec, Scrunch, AthenaHQ, Semrush, Ahrefs, SE Ranking, and Conductor — segmented by job-to-be-done with retail-specific platforms called out separately.
Buyer Guides
Compare the best AI search monitoring tools for 2026, including SolCrys, OtterlyAI, Profound, Peec AI, Rankscale, Scrunch, AthenaHQ, Ahrefs, Semrush, and Writesonic. Learn when a dashboard is enough and when you need an AEO execution engine.
Buyer Guides
Generic AEO platforms and Retail AEO platforms are different categories with different engines, signals, actions, and tools. This guide breaks down when you need each and when you need both.
Buyer Guides
A structured 30-day pilot framework for AEO platforms — pre-pilot setup, week-by-week timeline, exit criteria, and the common pilot anti-patterns that produce wrong purchase decisions.
AI Engine Optimization
ChatGPT Search uses Bing's index, OpenAI's crawlers, and on-demand fetches. This guide breaks down the five ranking signals, the crawler access checklist, and the content patterns that get cited in ChatGPT answers.
AI Engine Optimization
Perplexity uses real-time RAG with strong recency and authority weighting. This guide breaks down the four unique signals, the difference between Perplexity Search and Pro Search, and the optimization playbook that does not apply to other AI engines.
AI Engine Optimization
Google AI Overviews and AI Mode use Google's index plus generative synthesis. This guide breaks down the inheritance signals, the difference between AIO and AI Mode, and the optimization playbook that does not require abandoning SEO.
AI Engine Optimization
Claude's web search has its own crawler guidance, citation behavior, and analytical query skew. This guide breaks down practical optimization moves for technical and analytical buyer prompts.
AI Engine Optimization
Gemini shares Google's index but layers Gemini-specific signals: stronger grounding controls, Workspace integration, and multimodal preference. This guide covers the four differences from Google AI Overviews and the optimization checklist.
AI Engine Optimization
How the major AI search engines differ across data sources, ranking signals, citation patterns, and optimization priority. A pillar guide for multi-engine AEO strategy.
Attribution & ROI
A practitioner framework for estimating and reviewing AEO ROI with finance. Includes the AEO Revenue Model formula, three attribution methods, a 5-slide deck structure, and a 12-month measurement template.
Attribution & ROI
Visibility metrics are not revenue. This guide is the operational playbook for tracking AEO actions through to conversion events - GA4 limits, survey-based attribution, first-party Recovery scoring, and the multi-touch attribution flow.
Attribution & ROI
AEO Recovery Score is a quantified framework for estimating how much of an answer gap your fix actions closed. This guide defines the formula, measurement windows, and how to set expectations without overclaiming recovery.
Community & UGC
A 6-step playbook for earning Reddit citations in AI answers - weekly cadence, thread-authoring patterns, disclosure norms, and a 12-week build plan. Includes guidance for validating when YouTube should be paired with Reddit.
Community & UGC
Product Q&A is an underused asset in retail AEO. This guide covers compliant Q&A workflows, the 5 buyer-concern Q&A categories, marketplace TOS limits, and a 30-day coverage playbook.
Community & UGC
User comments under YouTube videos, blog posts, and Reddit threads can appear in AI-cited sources. This guide explains how to participate ethically in comment-layer conversations and what patterns are useful to buyers.
Strategy & Positioning
AI made producing brand content nearly free, but made being cited, recommended, and trusted by AI engines radically more scarce and concentrated. A field note from SolCrys Co-Founder & CPO Eason Wang on what changes when production stops being the marketing bottleneck — and what the new substrate is.
Strategy & Positioning
Google's May 2026 generative AI optimization guide explicitly rejects the AEO/GEO hacks that have dominated vendor pitches for the last 18 months — llms.txt, AI-only schema, forced chunking, FAQ-schema citation 'lifts,' page-per-variation production. For a CMO evaluating an AEO program or vendor in 2026, this is the most consequential piece of category-level guidance to land yet. Here's the practical translation.
Strategy & Positioning
Treating AI search as 'another channel' alongside SEO and paid undercounts its impact. AI search is a decision layer that influences buyers across all other channels. This essay explains the implication for measurement and investment.
Strategy & Positioning
llms.txt is a proposed standard for AI-friendly content delivery, but it is neither widely adopted by major AI engines nor a substitute for AEO fundamentals. This essay explains what llms.txt does, what it does not, and why brands should focus on the unsexy basics.
How SolCrys Works
SolCrys publishes its editorial standards in full: the 5 mandatory DO's, the 7 named anti-patterns we refuse to recommend, and the pre-publication checklist every SolCrys asset runs through. We hold our content to a higher bar than the AEO category average — and we want buyers to be able to check.
How SolCrys Works
We ground every AEO prompt set on real intent volume, public community questions, AI query signals, and live engine follow-ups - not synthetic keyword lists. Here's how we build it.
How SolCrys Works
How we capture your AI visibility data across supported engines, with each response traceable to a prompt, engine, capture method, available model or surface signal, and timestamp. Consumer-surface and retail-assistant validation are scoped where technically reliable.
Buyer Guides
Six questions every buyer should send to every AEO platform - including us - before signing. We designed SolCrys to answer all six; here's how, and what to listen for from anyone you're evaluating.
Strategy & Positioning
Marketing agent infrastructure can be a useful architecture claim, but it becomes weak when it hides the concrete AEO work. Here is how SolCrys thinks buyers should evaluate the label.
How SolCrys Works
How we build prompt sets, capture AI visibility data, handle engine non-determinism, run our Free Audit, and document methodology. The 19 questions buyers ask us most often during evaluation.
Competitor Comparisons
Compare Profound and SolCrys for enterprise AI visibility monitoring, citation analytics, competitive tracking, and the workflow needed to turn findings into action.
Competitor Comparisons
Compare AirOps Quill and SolCrys across AI search visibility, content execution, brand governance, and answer-gap workflows for marketing teams.
Competitor Comparisons
Compare Otterly AI and SolCrys for LLM visibility monitoring, prompt tracking, citation diagnostics, and the operating workflow needed after issues are found.
Competitor Comparisons
Compare Ahrefs Brand Radar and SolCrys across AI visibility measurement, SEO context, citation analysis, and execution workflows for improving AI answers.
Competitor Comparisons
Compare Peec AI and SolCrys for AI search analytics, citation tracking, multi-brand reporting, BI exports, and workflow depth for closing answer gaps.
Competitor Comparisons
See how HubSpot AEO and SolCrys differ across AI search visibility, prompt tracking, citation analysis, CRM context, and workflow depth.
Competitor Comparisons
See how Semrush AI Visibility Toolkit and SolCrys differ across prompt research, competitive benchmarks, site-audit context, and action-to-result tracking.
Strategy & Positioning
Five pitch patterns that recur across AEO vendor conversations, paired with the specific questions that test each one. What's worth verifying before signing — and how SolCrys answers the same five tests.
Strategy & Positioning
AEO measurement is more like survey design than search analytics. The four sources of disagreement between AEO platforms, the five questions that surface them, and how SolCrys answers each one — with explicit uncertainty.
Buyer Guides
A 30-day playbook for evaluating and procuring an AEO platform — RFP design, POC scope, reference-check script, contract red lines. From Gwen Chen, ex-AWS marketing leader, on what AEO procurement should look like in 2026.
Strategy & Positioning
AI agents are a third audience for your website — alongside humans and search crawlers. Eason Wang on what changes for product UX when agents see what humans can't, and miss what humans take for granted.
Strategy & Positioning
Literacy externalized thought. AI is externalizing action. Jia Chang, CTO of SolCrys, on the second great externalization in human civilization, why execution is becoming abundant, and what becomes scarce when 'doing' is free.
How SolCrys Works
An AEO platform's measurement, action, and verification surfaces all rest on a small number of architectural choices that aren't usually published. Jia Chang on six of ours — what each tradeoff looks like, what we chose, and what we'd revisit.
Measurement
AI visibility scores move week to week even when nothing you control has changed. Here are the 6 sources of normal variance, the patterns that signal real movement, and what to watch.
How SolCrys Works
What SolCrys actually does after the dashboard surfaces a gap. The closed-loop workflow from detection to draft to brand review to ship to re-measurement — including the failure modes.
How SolCrys Works
The exact sections of a SolCrys content audit, what each one is measuring, and what's explicitly NOT in scope. Read this before you request a Free Audit so you know what to expect.
MCP & Skills
Jia Chang, SolCrys CTO, on why we built our MCP server before customers asked for it, why we open-sourced the Skills layer on top of it, and what it signals about the next surface marketing teams need to optimize for.
MCP & Skills
A practical reference for the SolCrys MCP server and the four open-source AEO Skills. Nine tools cataloged, OAuth and PAT install paths, the seven-step typical workflow, and how the Skills auto-chain MCP calls inside Claude, Cursor, and other AI clients.
Buyer Guides
Most AEO programs over-index on engine market share and under-index on signal quality. Gwen Chen, SolCrys CEO, on the four-signal framework — audience fit, prompt gap, buyer value, fixability — that decides where AEO investment actually pays off, plus a 5-factor scoring rubric and the 2026 read on every major engine.
How SolCrys Works
Most teams delete prompts that show 0 visibility. Eason Wang, SolCrys CPO, on why that's the wrong heuristic — a 0-visibility prompt with real buyer intent is a gap to fix, not a prompt to remove — and the four-state lifecycle (Keep + Act, Rewrite, Archive, Add) we ship to enforce it.
Buyer Guides
We compared 10 Answer Engine Optimization (AEO) platforms for B2B marketing teams using our own 17,551-citation dataset across ChatGPT, Perplexity, Google AI Overviews, and Gemini. Here's which tool fits which buyer.
For Agencies
Agency-side comparison of 8 AEO platforms across multi-tenancy, white-label, per-client billing, and 25-client economics. Built for agency founders and SEO leads.
Measurement
Compared: 7 tools that actually track brand mentions in ChatGPT and Perplexity in 2026. Includes a DIY 5-prompt audit you can run in 10 minutes.
Buyer Guides
A starter buyer's guide to AEO tools for marketing teams of 1-3: starter-tier pricing, setup time, what you can skip, and a 20-prompt template to run on day 1.
Competitor Comparisons
Profound vs Peec AI vs Otterly vs SolCrys — a 12-dimension, 4-way AEO platform comparison for 2026 buyers. Pricing, engines, execution, and a decision tree.
Buyer Guides
Sourced 2026 pricing comparison for Profound, Peec AI, Otterly, Scrunch, Brandlight, and SolCrys — starter, growth, and enterprise bands with per-prompt math.
Measurement
A tactical how-to for tracking AI share of voice in ChatGPT, Perplexity, Gemini, and Google AIO — with formulas, a worked example, and a 30-day starter rollout.
Citation & Source Influence
A data-backed guide to getting cited by ChatGPT in 2026 — based on a 17,551-citation dataset across ChatGPT, Perplexity, AI Overviews, and Gemini.
Citation & Source Influence
We analyzed 17,551 citations across 22 buyer prompts, 4 AI engines, and 30 days. Wikipedia, TechRadar, and Reddit lead — owned-media is under 1% of category citations.
Buyer Guides
An honest vendor-by-vendor scorecard of 8 AEO platforms across Measure → Diagnose → Execute → Verify. Which actually close the loop, and which stop at diagnosis.
Buyer Guides
AEO for B2B SaaS in 2026: which engines matter, what prompts to track across the buyer journey, and the source-layer plays (G2, Reddit, PR) that actually move citations. Includes a 40-prompt SaaS template.
Buyer Guides
A 2026 buyer's guide to AEO for mid-market B2B companies (100-1,000 employees). Budgets, vendor fit, the 60-90-day pilot framework, and common mistakes.
Citation & Source Influence
A craft-focused guide to writing content AI engines actually cite. 9 content patterns with before/after examples, engine-by-engine preferences, and what 17,551 citations reveal.
Buyer Guides
Which AEO platforms actually integrate with WordPress, Webflow, Contentful, Sanity, HubSpot, and Shopify in 2026 — and which only export PDFs. A 2,400-word buyer guide for content engineering leads.
Measurement
A 4-step playbook for tracking which competitors AI engines cite — competitive share of voice, citation source maps, and replacement rate. Real SolCrys data.
Citation & Source Influence
A strategic playbook for building the three source layers that AI engines actually cite: owned, earned, and community. Includes sequencing, costs, and an ethics line.
Buyer Guides
A 25-item enterprise procurement checklist for evaluating Answer Engine Optimization (AEO) vendors: security, data handling, SLAs, MSA, technical fit. With sample RFP language and red flags.
These references guide how SolCrys evaluates AI search visibility, crawler access, and answer readiness.
Answer Engine Optimization, or AEO, is the practice of making a brand's expertise, products, and proof easy for AI systems and search engines to retrieve, understand, cite, and summarize accurately in generated answers.
SEO focuses on visibility in search result pages. AEO focuses on whether AI answer engines can use your content as a reliable source inside generated answers, comparisons, and recommendations.
Most brands should start with ChatGPT search, Gemini, Google AI Overviews and AI Mode, and Perplexity where included in their plan. Claude, Copilot, and retail assistants can be evaluated as scoped add-ons when they materially influence the category.
No. Strong technical SEO, useful content, crawlability, and authority are still the foundation. SolCrys extends that work into prompt-level AI visibility, citation readiness, and answer accuracy.
SolCrys grounds every AEO action in your Corporate Context - a governed source of truth for approved facts, claims, proof, voice, and competitor framing. Findings become reviewable briefs, recommendations, or drafts inside those guardrails, and every change routes through human approval before it ships.
After an action ships, SolCrys re-runs the same prompt set across the same answer engines and tracks how citation rate, answer accuracy, and recommendation share changed. That action-to-result link connects the shipped page or source update to a measurable AI search outcome.
Free AI visibility audit
SolCrys maps high-intent prompts to mentions, citations, answer accuracy, and content gaps so your team can prioritize the next pages to ship.