comparisons
Profound Alternatives for Smaller Marketing Teams
A small team can need enterprise depth; the useful comparison is scope, ownership, and operating burden.
Flagship research
Answer Engine Optimization: A Practical Guide for 2026
A practical way for a small team to make useful evidence easier for people and answer systems to find, assess, and cite—without treating citations as a promise.
Read the researchFrom the desk
Latest research
comparisons
CiteCue vs. OtterlyAI vs. Peec AI
Three public-source product profiles, with fit cases and limits rather than an overall winner.
comparisons
Comparing AEO Platforms: A Buyer’s Framework
Choose a measurement and operating model before comparing AEO platform feature lists.
field notes
What llms.txt, Schema, and Crawler Access Can—and Cannot—Do
Machine-readable publishing controls can reduce ambiguity, but they do not promise retrieval, citation, or favorable answers.
Research section
Guides
guides
The Small-Team AI Visibility Audit
A two-hour, evidence-first routine for observing answer surfaces, checking crawlability, and deciding which fix is worth doing next.
guides
AEO vs. GEO vs. SEO: What Actually Changes?
The acronyms overlap more than they differ. Use them to clarify a measurement question, not to split one evidence-rich publishing program into three silos.
guides
Answer Engine Optimization: A Practical Guide for 2026
A practical way for a small team to make useful evidence easier for people and answer systems to find, assess, and cite—without treating citations as a promise.
Research section
Comparisons
comparisons
Profound Alternatives for Smaller Marketing Teams
A small team can need enterprise depth; the useful comparison is scope, ownership, and operating burden.
comparisons
CiteCue vs. OtterlyAI vs. Peec AI
Three public-source product profiles, with fit cases and limits rather than an overall winner.
comparisons
Comparing AEO Platforms: A Buyer’s Framework
Choose a measurement and operating model before comparing AEO platform feature lists.
Research section
Benchmarks
benchmarks
Prompt Monitoring Without Misleading Yourself
A defensible monitoring program documents what a run observed, what changed, and what the sample cannot establish.
benchmarks
Seven Metrics That Make AI Visibility Measurable
Seven bounded measures for a documented prompt sample, with formulas, failure modes, and hypothetical examples—not claims of universal engine performance.
Research section
Field Notes
field notes
What llms.txt, Schema, and Crawler Access Can—and Cannot—Do
Machine-readable publishing controls can reduce ambiguity, but they do not promise retrieval, citation, or favorable answers.
field notes
How AI Answer Engines Choose Which Sources to Cite
A model for thinking about source selection without pretending that opaque commercial systems publish a universal citation algorithm.
Comparison desk
On the Bench
The most recently published public-source comparisons.
comparisons
Profound Alternatives for Smaller Marketing Teams
A small team can need enterprise depth; the useful comparison is scope, ownership, and operating burden.
comparisons
CiteCue vs. OtterlyAI vs. Peec AI
Three public-source product profiles, with fit cases and limits rather than an overall winner.