Who, how and why

Posnic editorial and evidence policy

Posnic publishes content to help shop operators and technical evaluators make decisions. Search demand can identify a useful question; it cannot supply the answer. Product claims need product evidence, customer outcomes need customer evidence, and uncertainty stays visible.

Organization accountable for publication v1.3.0 current product evidence baseline Primary sources first for factual claims Corrections public when material claims change

Who publishes Posnic content

Publisher

Posnic Innovations Private Limited is responsible for pages on posnic.com. Organization and contact evidence is maintained on the About Posnic page. Product source and project decisions are public in the Posnic/POS repository.

Bylines and review names

Pages use the organization as author unless a named person actually wrote or reviewed the published claim and a review record exists. Posnic does not invent expert biographies, reviewer names, credentials or dates to make a page appear more authoritative.

Evidence hierarchy

Preferred source for each kind of claim
Claim typeRequired evidencePublication boundary
Product behaviorPinned source, reproduced test, product screen or versioned manual.Name the release, setup, observation and known limitation. A passing unit test is not a customer deployment result.
Downloads and releasesOfficial release tag, exact asset, checksum and signing state.Do not describe an unsigned or unnotarized asset as signed, trusted or warning-free.
Company factsActual organization record, official contact, public repository or inspected first-party document.Expired recognition is historical; a generic badge is not proof; another company's record is never acceptable.
Competitor comparisonCompetitor's current official documentation and Posnic's versioned evidence.Date the review, separate plans and deployment models, and avoid unsupported superiority claims.
Customer outcomeNamed customer's written permission plus dated baseline, rollout details and comparable result data.No composite, hypothetical or anonymous scenario is presented as a customer story.
Location or regulationCurrent government, standards-body or other authoritative local source.Do not imply a local office, local deployment, tax compliance or hardware availability without evidence.
Search demandFirst-party Search Console data or a cited research tool with geography and date range.Demand decides which real question to investigate; it does not justify duplicating a page for every keyword variation.

Publication workflow

  1. Define the operator decision. Record the question, intended reader and action the page should help them complete.
  2. Collect evidence before drafting. Prefer primary sources, pin changing product material to a release, and preserve conflicting evidence instead of choosing the most attractive number.
  3. Test what can be reproduced. Record the command, environment, date, result and boundaries. Failed and skipped checks remain part of the record.
  4. Write the smallest complete answer. Explain material tradeoffs, costs, setup requirements and limitations near the claim they qualify.
  5. Run technical and editorial gates. Check parsing, metadata, canonical URLs, internal links, structured data, accessibility basics, source support and duplicate intent before indexing.
  6. Measure and correct. Use Search Console and analytics to find unmet questions and broken journeys. Material corrections are dated; old claims are removed rather than hidden behind a new publish date.

How automation and AI may be used

Permitted assistance

Automation may gather repository facts, compare structured records, detect missing metadata, propose an outline, check links and help edit language. The source material, acceptance criteria and final published claims remain Posnic's responsibility.

Not permitted

Automation must not invent customers, local presence, testimonials, certifications, test results, regulatory advice, prices, integrations, roadmap commitments or citations. It must not paraphrase many near-identical pages merely to capture query variants.

Disclosure

When automation materially shapes a page, the page or this policy explains the role that automation can play. A page still needs accountable publication, source checks and a correction path; an AI disclaimer does not repair unsupported content.

Current expansion rule

New programmatic location-page generation is frozen during the current quality audit. Existing pages are checked for useful local evidence, unique intent and unsupported local claims before any expansion resumes.

Search and generative-AI visibility

Posnic does not promise a number-one ranking or inclusion in an AI answer. The website follows the same durable approach for conventional and generative search: crawlable pages, clear ownership, useful original evidence, accurate structured data and content that answers a real operator question.

No AEO shortcut

Google's current guidance says its generative search features use core Search ranking and quality systems. Posnic therefore does not create thin query-variation pages, manufacture mentions or add unsupported structured data for an imagined AI advantage.

Machine-readable files are secondary

Files such as llms.txt can help services that choose to read them, but Google states that such files neither help nor harm Google Search rankings. The HTML evidence pages remain the public source of truth.

Corrections and challenges

Send a URL, the disputed statement and supporting evidence to info@posnic.com. Posnic will check the underlying source, correct or qualify material errors, and record significant public-trust corrections on the affected page or the organization record.

Policy published and reviewed 17 August 2026. Product baseline: v1.3.0, commit b531ef4.