Prompt
How can I audit my AI search presence?
Latest observation
To audit your AI search presence, treat it like a mix of SEO audit + brand reputation audit + knowledge graph audit. You want to know: When AI systems answer questions in your category, do they mention you, describe you correctly, and cite you?
1) Define the questions you should own
Start with 20–50 prompts your customers would ask AI assistants, for example:
- “Best [category] tools for [use case]”
- “Compare [your brand] vs [competitor]”
- “What is the best [solution] for [industry]?”
- “How do I choose a [product]?”
- “Who are the top companies in [space]?”
Group them by intent:
- Discovery: “What are the top options?”
- Comparison: “X vs Y”
- Evaluation: “Is X reliable?”
- Transactional: “Best pricing for X”
- Support: “How do I use X?”
2) Test across multiple AI systems
Check how your brand appears in:
- ChatGPT
- Google AI Overviews / AI Mode
- Perplexity
- Claude
- Bing/Copilot
- Gemini
- Any vertical AI search tools in your niche
For each prompt, record:
- Whether your brand is mentioned
- Position in the answer
- Whether it’s recommended or merely listed
- Whether details are accurate
- Whether the system cites your site or third-party sources
- Whether competitors are preferred instead
3) Measure key presence metrics
Create a simple scorecard:
Visibility
- % of prompts where you appear
- Average rank/position if listed
- Share of voice vs competitors
Accuracy
- Are product features correct?
- Are pricing, location, and claims up to date?
- Are you described in the right category?
Authority
- Are AI answers citing your site?
- Are authoritative third-party sources mentioning you?
- Are reviews, media, and directories strong?
Sentiment
- Positive / neutral / negative framing
- Are there recurring objections or complaints?
4) Audit the sources AI is using
AI answers often come from a mix of:
- Your website
- Wikipedia / Wikidata
- Review sites
- News articles
- Forums like Reddit
- Directories
- Documentation / help center
- Social profiles
- Structured data in your site
Check:
- Is your site crawlable and indexable?
- Do you have clear entity signals?
- Are your “About,” “Contact,” “Pricing,” and “FAQ” pages solid?
- Do you have schema markup?
- Are third-party listings consistent?
5) Check your brand/entity consistency
AI systems rely heavily on entity understanding. Make sure your brand details match everywhere:
- Brand name
- Product names
- Founder/company names
- Locations
- Category descriptions
- URLs and social handles
Inconsistency can cause AI to confuse you with another company or omit you entirely.
6) Review competitor presence
Benchmark 3–5 competitors:
- Which prompts mention them more often?
- Which sources do they dominate?
- What claims do AI systems repeat about them?
- Are they getting more citations, reviews, or mentions?
This helps identify gaps in your content and authority footprint.
7) Look for “AI blind spots”
Common reasons brands underperform in AI search:
- Thin or vague category pages
- No third-party mentions
- Poor schema/structured data
- Low authority in trusted sources
- Outdated content
- Weak comparison pages
- No clear answer to “who/what/why choose you?”
8) Use manual + automated tracking
You can audit manually with a spreadsheet, then automate:
Manual
Use a prompt list and log:
- prompt
- platform
- date
- output
- mention/citation
- notes
Automated
Use tools or scripts to periodically query AI systems and track:
- brand mentions
- citations
- answer sentiment
- competitor share
If using automation, be mindful of platform terms and rate limits.
9) Fix the gaps
Once you know where you’re weak, focus on:
- Better category pages
- Comparison pages
- FAQ pages that answer common prompts
- Stronger schema
- PR and editorial mentions
- Review generation
- Knowledge base / documentation improvements
- Consistent brand/entity data across the web
10) Track improvements over time
Re-audit monthly or quarterly and track:
- Mention rate
- Citation rate
- Accuracy score
- Competitor share of voice
- Traffic/conversions from AI referrals
Simple audit template
You can use a table like this:
| Prompt | Platform | Mentioned? | Position | Cited? | Accurate? | Competitors Mentioned | Notes |
|---|---|---|---|---|---|---|---|
| Best CRM for SMBs | ChatGPT | Yes | 2 | No | Mostly | Competitor A, B | Missing pricing detail |
| X vs Y | Perplexity | No | — | — | — | Competitor A | Need comparison page |
If you want a quick starting point
Do these 5 things this week:
- Make a list of 25 key prompts
- Test them on 3 AI platforms
- Record mentions and citations
- Compare against 3 competitors
- Identify the top 10 missing or incorrect claims
If you want, I can also give you:
- a ready-to-use audit spreadsheet template
- a prompt list for your industry
- or a step-by-step AI search audit process for brands/SEO teams
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.