AI says wrong things about my brand: the correction playbook
Roughly 72% of brands have at least one factual error in AI responses, and no official correction portal exists. Here is the operating playbook to fix it.
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How AI systems see, cite, and describe brands — measurement frameworks, citation strategy, and operating playbooks from the Parse team.
Roughly 72% of brands have at least one factual error in AI responses, and no official correction portal exists. Here is the operating playbook to fix it.
Reddit is now one of the most-cited domains across ChatGPT, Perplexity, and Google AI Overviews. Why it happened, what it means for AI visibility, and how to build a Reddit presence that actually moves citations.
Five review platforms own 88% of review-driven AI citations. After G2 absorbed Capterra, Software Advice, and GetApp, the playbook for getting cited changed. Here is the operating manual.
Perplexity retrieves live, not from training. That changes the playbook. Allow PerplexityBot, win on Reddit, publish data, ship within a week.
ChatGPT search pulls from Bing's index, not Google's. 87% of citations match Bing's top results. Here is what that means for how you optimize.
44% of B2B SaaS brands are invisible in AI buyer research. Here is the operating playbook for prompts, review platforms, earned media, and the reporting loop that changes that.
AI models give the same brand list less than 1% of the time. Here is how to tell a real visibility drop from the 5–10% week-to-week variance that is just sampling noise.
What carries over from SEO to AI visibility, what breaks, and what is new. A direct comparison for teams that already run an SEO program.
A framework for choosing, grouping, and scaling the prompts you monitor so AI visibility measurement reflects real buyer behavior, not vanity variance.
A practitioner guide to the answer capsule: what it is, why the first 150 words decide whether AI cites you, and how to retrofit the technique onto existing content.
A source-by-source breakdown of the domains ChatGPT, Google AI Overviews, Perplexity, Gemini, and AI Mode cite most, with the 33% of that surface marketers can actually influence.
Wikidata accepts real businesses that Wikipedia would reject. Here is the step-by-step playbook for creating an entry, wiring it into your schema, and feeding the AI entity graph.
A practitioner framework for citation gap analysis: how to find the sources AI cites for competitors, prioritize the 33% you can influence, and close gaps on a quarterly cadence.
AI visibility is the measurement discipline for how often your brand appears in AI answers. Here is what to measure, how to measure it, and why it now sits alongside SEO as a standing KPI.
A 12-week operating plan for AI visibility: baseline, entity, content, sources, benchmarks, and the first board-ready report, with owners and hour estimates.
A 30-minute weekly operating rhythm for AI visibility: four questions, a noise threshold, owner-assigned tasks, and the Slack setup that keeps the cadence alive.
Blocking GPTBot stops AI training. Blocking OAI-SearchBot removes you from ChatGPT Search. The directives are different, and the defaults in most stacks are wrong.
Ghost citations expose a broken assumption: content quality and brand recall are separate systems. Here is how the gap forms, how to diagnose it, and the entity-first fix.
A weekly scorecard for AI visibility that tracks presence, citation quality, and competitive movement, and produces an execution task every Monday instead of a vanity dashboard.