Prompt
How do I ensure my competitor link building review with a backlink analysis platform is compliant?
Latest observation
To keep a competitor link-building review compliant when using a backlink analysis platform, focus on lawful access, platform terms, data handling, and ethical outreach.
1) Use only publicly available or properly licensed data
- Analyze backlinks that the platform is allowed to collect and display.
- Don’t scrape private areas, bypass paywalls, or use credentials you’re not authorized to use.
- Respect robots.txt and the platform’s own access rules.
2) Follow the backlink platform’s Terms of Service
- Check whether the platform permits:
- Competitive research
- Exporting backlink data
- Automated queries / API use
- Sharing reports with clients or third parties
- Avoid rate-limit abuse, bulk scraping, or account sharing if prohibited.
3) Stay within copyright and database-use limits
- A backlink list can be subject to contractual/database restrictions even if the URLs are public.
- Don’t republish large datasets without permission.
- If you share a report, summarize insights rather than redistributing raw data unless the license allows it.
4) Handle personal data carefully
Backlink analysis may surface:
- Names/emails of site owners
- Contact forms
- Social profiles
- Contributor pages
If you store or process this:
- Use it for legitimate B2B outreach purposes only.
- Minimize what you keep.
- Secure it appropriately.
- Provide privacy notices if required by your jurisdiction.
5) Respect anti-spam and outreach laws
If your review leads to outreach, comply with applicable laws such as:
- CAN-SPAM in the U.S.
- GDPR / ePrivacy in the EU/UK
- CASL in Canada
Best practices:
- Don’t send unsolicited mass emails without checking the legal basis.
- Include identification and unsubscribe options where required.
- Avoid deceptive subject lines or sender info.
6) Avoid trademark and false-affiliation issues
- Don’t imply affiliation with competitors.
- Use competitor names descriptively, not deceptively.
- Don’t use their logos or branded materials in a way that suggests endorsement.
7) Document your methodology
Keep a short record of:
- Data source
- Date of access
- Filters used
- Any exclusions
- Whether data came from the platform’s API/export tools
This helps show you used normal, authorized research methods.
8) Be careful with trade secrets and confidential info
- Don’t use leaked, stolen, or confidential backlink data.
- Avoid internal documents, private outreach lists, or non-public network information.
9) If you’re doing this for a client, define responsibility
In your contract or SOW:
- State that the client authorizes competitive research
- Specify the platform and license
- Allocate compliance responsibilities for outreach and data use
10) Get legal review for high-risk use cases
You should especially seek counsel if you:
- Operate in regulated industries
- Collect personal data at scale
- Automate outreach
- Work across multiple countries
- Intend to republish or resell the analysis
Simple compliance checklist
- Platform ToS reviewed
- Data source is authorized/public
- No scraping or access bypass
- Raw data redistribution permitted
- Personal data minimized and secured
- Outreach complies with anti-spam/privacy laws
- Trademark/brand use is fair and accurate
- Methods documented
If you want, I can turn this into a one-page compliance checklist or tailor it to a specific platform like Ahrefs, Semrush, Moz, or Majestic.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.