Make sense of the next search.

How to respond when AI gets your company wrong

Verify an inaccurate claim, locate the evidence, correct information you control, and document what changes.

Track what AI says about your brand, not just the score

Build a sentiment review around attributes, objections, evidence, and severity rather than one positive-versus-negative number.

Turn a source finding into useful editorial outreach

A process for relevant story ideas, documented corrections, and independent evaluation.

Use professional content to explain what your team knows

A practical professional-publishing strategy built around expertise, consistency, and evidence.

A useful Reddit strategy starts with community participation

Use observed community citations to understand customer questions, then contribute without manufacturing recommendations.

Read the sources behind an AI recommendation

Move from a list of cited domains to specific pages, supported claims, and actions your team can own.

Turn citation gaps into an actionable content plan

Find the pages competitors are cited from, understand the missing information, and choose work you can actually complete.

When should you refresh a page that AI has cited?

Prioritize maintenance by accuracy, usefulness, and observed changes rather than changing dates for appearances.

Why are competitors in the answer when you are missing?

A disciplined investigation of missing brand mentions, from question fit to product facts and external coverage.

COMMERCE / SUNDIAL

Commerce2 min read

Can an assistant explain your pricing correctly?

A practical audit of plan names, billing units, limitations, and conditions that matter to a buyer.

COMMERCE / SUNDIAL

Commerce2 min read

Make product pages useful to AI-assisted shoppers

Build clear product facts, variant information, and buying guidance before chasing a place in a shopping answer.

A B2B content plan built around the evaluation process

Connect category discovery, technical validation, commercial evaluation, and stakeholder questions.

Build travel content around the trip people are planning

Explain location, suitability, accessibility, booking conditions, and practical travel constraints accurately.

Help local customers verify your business

An information audit for locations, services, opening hours, availability, and local buying questions.

Make videos answer a question people can verify

Plan useful video evidence, clear context, and supporting pages for product and category questions.

Use AI to draft content without losing editorial responsibility

A workflow for research, evidence, drafting, verification, and publication that keeps an accountable human owner.

Use images as evidence, not decoration

Choose diagrams, screenshots, and photography that explain the claim and remain understandable with accessible context.

Use query fan-out to understand the whole buying question

Translate subquestions into a useful content architecture without pretending you can see every internal search an assistant makes.

Write sections that answer a question in context

A practical approach to clear passages, supporting evidence, qualifications, and page structure.

FOUNDATIONS / SUNDIAL

Foundations2 min read

SEO, AEO, and GEO: what should your team actually do?

A practical way to connect traditional search work with visibility in AI answers, without splitting your strategy into competing acronyms.

FOUNDATIONS / SUNDIAL

Foundations2 min read

The AI-search terms your team needs to agree on

Working definitions for mentions, citations, retrieval, fan-out, visibility, attribution, and experiments.

Audit Google’s AI experiences as separate surfaces

Keep AI Overviews, AI Mode, and other Google experiences distinct when researching answers and sources.

Build a prompt set that represents your buyers

Turn customer evidence into a balanced question set, with a stable baseline and room for discovery.

Compare AI search experiences without mixing unlike results

Keep products, markets, languages, and answer types visible when comparing brand performance across AI platforms.

Design an AI visibility experiment you can learn from

Define a hypothesis, keep comparable observations, and distinguish a correlation from a causal result.

Make audience constraints explicit in your AI-search research

Investigate who a recommendation is for without presenting a synthetic persona as evidence of actual customer behavior.

Measure AI visibility across languages and markets

A method for comparable international question sets, local facts, and translation review.

Measure AI visibility without fooling yourself

Define mentions, citations, position, and share of voice with denominators that make your reports comparable.

Observed prompts and estimated demand are different datasets

Evaluate prompt-volume claims, projections, and curated panels before using them to allocate a budget.

Read an AI citation benchmark before borrowing its numbers

Evaluate samples, definitions, weighting, and relevance before applying a published benchmark to your brand.

When AI answers change, what should you do?

Separate collection problems, sampling variation, product changes, and lasting visibility shifts before changing strategy.

Automate the report, preserve the evidence

Design API or MCP reporting workflows with explicit data contracts, access controls, and review points.

Build an agency AI-search service around decisions

Scope research, measurement, action, and reporting so clients know what they are buying.

How to evaluate an AI visibility tool

A practical buying checklist for collection transparency, usable evidence, exports, and operational fit.

Your first 30 days of AI-search work

A manageable program for customer questions, baselines, information fixes, and a useful first review.

REVENUE / SUNDIAL

Revenue2 min read

Connect AI discovery to pipeline without inventing ROI

A measurement design for known referrals, self-reported influence, qualified opportunities, and cost.

REVENUE / SUNDIAL

Revenue2 min read

What AI referral traffic can—and cannot—tell you

Build a clean view of known assistant referrals without treating missing attribution as missing influence.

TECHNICAL / SUNDIAL

Technical2 min read

Audit AI crawler access before rewriting your content

Check access, identity, response codes, and the actual content returned to crawlers before diagnosing a visibility problem.

TECHNICAL / SUNDIAL

Technical2 min read

Keep cited URLs useful after a site change

A maintenance checklist for redirects, canonical pages, internal links, and obsolete content.

TECHNICAL / SUNDIAL

Technical2 min read

llms.txt, Markdown, and schema: choose the right job for each

Evaluate machine-readable formats without mistaking an implementation choice for a guaranteed visibility signal.