DIGRAPH / JOURNAL02 — SIGNAL STUDY
D
Method
How to turn a citation gap into a content brief your team can ship
A repeatable workflow for moving from an absent or weak citation to a clear, evidence-led publishing decision.
July 10, 2026 6 min read
DIGRAPH JOURNAL
Make your brand legible to AI.
Research, methods, and clear-eyed notes for teams building a durable presence in AI search.
DIGRAPH / JOURNAL01 — SIGNAL STUDY
D
Field notes
The AI visibility forecast: 5 signals worth tracking in the next quarter
July 16, 2026 7 min read
Read analysisLatest intelligence
Practical perspective for the teams running brand and search.
All articlesAI searchMethodsOperations
DIGRAPH / JOURNAL03 — SIGNAL STUDY
D
AI search
What is AI search visibility, and why is it different from SEO?
The operational definition of visibility in answer engines, including the measurements that give teams a useful baseline.
June 26, 2026 9 min read
DIGRAPH / JOURNAL04 — SIGNAL STUDY
D
Research
The answer-engine accuracy audit: what to check before a bad claim spreads
A practical audit for the product facts, category definitions, and competitive claims that AI systems get wrong most often.
May 21, 2026 8 min read
DIGRAPH / JOURNAL05 — SIGNAL STUDY
D
Data
Which sources shape AI answers—and how to prioritize the ones that matter
A smarter way to map owned, earned, and third-party sources without reducing citation strategy to a checklist.
May 12, 2026 7 min read
DIGRAPH / JOURNAL06 — SIGNAL STUDY
D
Commerce
The AI shopping shortlist: how product discovery shifts before the click
Why the products named early in an answer matter, and the signals retail teams should inspect before seasonal demand arrives.
April 29, 2026 6 min read
DIGRAPH / JOURNAL07 — SIGNAL STUDY
D
Google AI surfaces are not one system. Plan measurement accordingly.
A measurement model for separating AI Overviews, AI Mode, and Gemini instead of reporting one misleading Google number.
April 17, 2026 9 min read
DIGRAPH / JOURNAL08 — SIGNAL STUDY
D
Research
How much answer variance is normal? A guide to reading daily movement
Volatility does not make AI visibility unmeasurable. It changes how teams need to define a meaningful change.
April 4, 2026 7 min read
DIGRAPH / JOURNAL09 — SIGNAL STUDY
D
Foundation
Brand entity hygiene: make the facts about your company easy to verify
A practical inventory of the identity, product, and relationship facts that make a brand easier to describe accurately.
March 21, 2026 6 min read
DIGRAPH / JOURNAL010 — SIGNAL STUDY
D
Content
When to refresh a page for AI search—and when to leave it alone
Use evidence from citations, answer framing, and product change to decide whether a page needs a rewrite, a patch, or nothing.
March 6, 2026 8 min read
DIGRAPH / JOURNAL011 — SIGNAL STUDY
D
Authority
Offsite mentions are part of your AI search surface. Treat them that way.
How to understand the community, editorial, review, and reference sources around your brand without chasing every mention.
February 20, 2026 7 min read
DIGRAPH / JOURNAL012 — SIGNAL STUDY
D
Operations
A reporting model for AI search that leaders can actually use
A concise weekly view of visibility, accuracy, citations, and work-in-progress that avoids manufactured precision.
February 5, 2026 5 min read
DIGRAPH / JOURNAL013 — SIGNAL STUDY
D
Strategy
From visibility to revenue: build the measurement chain before you need it
The right way to connect early AI search signals with outcomes, without claiming direct attribution where none exists.
January 22, 2026 8 min read
DIGRAPH / JOURNAL014 — SIGNAL STUDY
D
Playbook
Build a prompt portfolio that mirrors how buyers actually research
Move beyond a handful of vanity questions with a portfolio that captures category, comparison, and decision-stage intent.
June 18, 2026 5 min read
DIGRAPH / JOURNAL015 — SIGNAL STUDY
D
Analysis
How ChatGPT, Gemini, and Perplexity recommend brands
The systems differ. Your measurement strategy should make those differences visible, not average them away.
June 9, 2026 8 min read
DIGRAPH / JOURNAL016 — SIGNAL STUDY
D
Operations
From monitoring to action: make AI visibility a team habit
What to do after a tracked answer reveals a gap, a misleading description, or an unexpected competitor lead.
May 29, 2026 6 min read
THE WEEKLY BRIEF
One useful view of AI search. Every Friday.
The signals, shifts, and methods worth discussing with your team—not a stream of AI news.
Measure what buyers ask
Track the questions that show up across discovery, comparison, and evaluation—not just a generic keyword set.
Find the useful change
Review movement with the context of sources, competitors, framing, and prompt intent.
Give teams a next move
Turn what you learn into sharper briefs, corrected pages, and owned follow-through.