Brave Shows Old Business Information. What Should You Check?
Separate your current page, Brave's indexed result and a downstream AI answer, then follow the applicable correction route without hiding useful pages.
Every case study, system breakdown, and field note, newest first and filterable by topic. No theory, no demos. Only systems that run in production and what it took to get them there.
This is the complete archive: all 819 posts across 65 topics, newest first, filterable by category. It holds the case studies, the model and tool comparisons, and the field notes from systems I built and run. For the curated view, where the writing sits alongside the free Claude Code skills, start at the Library instead.
The archive leans in four directions: AI Search Visibility (139), AI Agent Architecture (73), AI News (48), and AI Business Ideas (46). Those four account for most of what I publish, because they are where most of the client questions land.
Three places to start. The AI search visibility guide is the hub for the largest cluster and links out to every spoke in it. Grok Imagine vs Midjourney is the image model comparison, rebuilt against live leaderboard data rather than left to go stale. OutreachIQ is the longest running system breakdown here, from first prototype through to a public repo.
Separate your current page, Brave's indexed result and a downstream AI answer, then follow the applicable correction route without hiding useful pages.
Test suitable and unsuitable buyer scenarios to find where AI answers invent your audience, service area or capabilities, then improve the evidence.
Prepare for Google’s planned 2027 shared AI-training preference by documenting current choices, provider exceptions and the later implementation review.
Test same-name business collisions, distinguish wrong facts from wrong entities, and strengthen the public evidence that identifies your company.
Separate AI-summary tap failures from broken landing pages using a reproducible incident record, direct URL checks and a defined retest.
Check what your GA4 key events count before comparing AI referrals with Google traffic: valid enquiries, duplicate events, denominators and small samples.
Keep suspect SERP data out of automated SEO decisions with provenance, corroboration, quarantine states and a record of historical corrections.
Review creator names, video descriptions, profile context and enquiry destinations so people can understand whose work they found and what to explore next.
Investigate an apparent ChatGPT traffic drop with landing-page comparisons, controlled link checks and a dated incident note that preserves uncertainty.
Reject weak Bing AI opportunity queries with a service-fit check, classification review, evidence test and a clear reason to revisit deferred ideas.
Turn Bing's Topics Portfolio beta into a small editorial queue with coverage checks, evidence requirements, review owners and practical next actions.
Read the new UK AI visibility benchmark carefully and build a platform-by-market scorecard with stable prompts, explicit denominators, and useful decisions.
Check Portuguese and English brand claims for location, service area, language, delivery, and enquiry conditions using an explicit regional evidence matrix.
Build a claim-to-source map for third-party AI citations, separating observed evidence, independent judgment, outdated facts, and correction priorities.
Track incorrect brand facts in Google AI Overviews with claim-level evidence, repair owners, severity rules, and a dated recheck trail.
Barry Schwartz explains why Google scraping defenses are unsettling rank trackers, what the September 2026 spam update did and did not confirm, and how to report SEO results without false precision.
A practical 30-minute audit for checking what ChatGPT Search, Google AI features, and Bing say about your business, which sources they use, and what to fix first.
Design a 30-day service-page experiment that separates AI visibility, enquiry quality, and uncertain attribution, with a baseline and clear decision rules.
If AI Mode queries are longer and more multimodal, service pages need a clearer opening answer, stronger proof, and better internal support without collapsing into generic SEO mush.
AI can accelerate web production, but it can also flatten brands into the visual mean. Here is why bland AI-built sites become weaker in multimodal and AI-mediated discovery.
The Blood in the Water SEO method finds strong domains ranking with weak pages, then validates those openings with live SERP, backlink, and Search Console data.
A practical guide to the SEO fundamentals that compound: crawlability, intent-led keyword research, useful content, earned authority, technical health, and the AI-search layer.
Paul James turns Google Search's AI price-checking calls into a proposed $497/month local SEO offer. Here is the actual feature, the grid-scan workflow, and what the pitch cannot promise.
Build a Day Zero evidence map so a buyer can understand capability, limits, proof, and fit before a comparison query begins.
Every post here is about a system that actually shipped. Book a free call and let's talk about what could ship for you.
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Prepared answers · Public information