AI search optimization — Vancouver
AI search optimization in Vancouver
AI search optimization is the work of making your brand findable, understandable and recommendable inside ChatGPT, Google AI Overviews, Perplexity and Copilot. Kumu does that work from Vancouver, measured against a 15-dimension benchmark.When a buyer asks ChatGPT who to shortlist, the answer is assembled from evidence — not from who bought the ad. ChatGPT findability is earned: retrieval, entity clarity, structured proof and third-party verification. We measure where you stand, then close the gap.
What ChatGPT findability actually means
ChatGPT does not rank ten blue links. It assembles an answer from sources it can retrieve, understand and trust. If your site is hard to crawl, vague about what you do, or short on verifiable evidence, you are simply not in the answer — and you will never know from your analytics, because no click ever happened.
The same is true one layer up. Google AI Overviews and Perplexity read the web in real time and name the sources they used. Findability inside those answers comes down to four things: the system can reach your content, it can tell who you are and what you sell, it can verify your claims against independent evidence, and it can quote you cleanly. Kumu scores all four as part of the Brand & Signal AI Findability Benchmark, so improvement is measured rather than asserted.
How the answer engines assemble an answer
Each engine gathers and cites sources differently. The levers differ too, which is why a single "AI visibility" score hides more than it shows.
ChatGPT
Grounded in live retrieval. OpenAI runs three separate crawlers — GPTBot for model training, OAI-SearchBot for search inclusion and ChatGPT-User for on-demand visits — with independent robots.txt controls. Block OAI-SearchBot and the site is excluded from ChatGPT search answers. OpenAI documents access rules; it does not publish what earns a citation.
Google AI Overviews
A customized Gemini model working with Google's existing ranking systems and Knowledge Graph. For complex questions it uses query fan-out — one prompt expanded into many related sub-searches — so an answer can draw on more sources than the ten blue links beneath it. Eligibility still starts with Google's index and its quality systems.
Perplexity
An answer engine first: every query triggers live retrieval and every answer shows numbered sources. PerplexityBot builds the index; Perplexity-User fetches pages at question time. Because citations are visible and numbered, Perplexity is the easiest surface to audit — and the clearest window into how AI citation works.
Microsoft Copilot
Answers are grounded in Bing's index, so a page missing from Bing does not exist in Copilot. Bing indexing health and Microsoft's publisher controls are the levers — a reminder that AI findability is still downstream of basic search plumbing.
The scale of the shift
The audience for machine-assembled answers is no longer early adopters. Where the numbers are platform-reported, we say so and date them.
monthly users Google reports for AI Overviews
Google, May 2025
for a robots.txt change to take effect in ChatGPT search, per OpenAI
OpenAI crawler documentation
dimensions scored in the Kumu Brand & Signal AI Findability Benchmark
Kumu Brand & Signal Benchmark™
to first findings from a Phase 1 Signal Snapshot
Kumu engagement terms
Documented versus assumed
The AI-search field is full of confident advice built on thin evidence. Our Evidence Standard separates what the platforms actually publish from what is hypothesis — and we say which is which.
| Surface | Documented by the platform | Not documented — treat as hypothesis |
|---|---|---|
| ChatGPT search | OAI-SearchBot access controls; roughly 24 hours for robots.txt changes to apply | What earns a citation; whether llms.txt or schema markup lifts citation odds |
| Google AI Overviews | Query fan-out retrieval; AI Overviews run alongside Google's ranking systems and Knowledge Graph | Which passages get extracted; how citations are weighted |
| Perplexity | PerplexityBot search crawling; Perplexity-User query-time fetching; visible numbered citations | Scoring weights for relevance, recency and trust |
| Microsoft Copilot | Answers grounded in Bing's index | Selection order among grounded sources |
How an engagement runs
Every engagement starts with measurement, so the work that follows is prioritized by evidence rather than opinion.
- 01
Measure
Phase 1 benchmarks your Brand Integrity Index, Signal Strength Index and the Signal Gap between them — including how AI systems currently retrieve, describe and cite your brand. First findings in 3–5 days.
- 02
Prioritize
Phase 2 hand-scores all 15 dimensions against the Kumu Evidence Standard and turns the result into a Transformation Roadmap ordered by impact, not opinion.
- 03
Improve
Crawler access, entity clarity, structured data, quotable content, third-party evidence and conversion paths — executed against the roadmap by our team or yours.
- 04
Prove
The same instrument re-run, so movement in AI answers is measurable rather than anecdotal.
What makes a source quotable
Answer engines cite pages they can attribute with confidence. In practice, four conditions have to hold at once — and most sites fail on more than one.
- Retrieval access — AI crawlers able to reach your public pages, verified in your robots.txt and server logs
- Entity clarity — who you are, what you sell and where you operate stated in language a model can parse
- Structured context — machine-readable data for organization, services, articles and breadcrumbs
- Verifiable evidence — third-party proof, reviews and credentials a system can check before recommending you
- Quotable content — direct, well-structured answers with named sources, published where the engines look
- Re-measurement — the same questions re-run on a schedule, with every answer logged and dated
Next step
Start with a measurement, not a pitch
Phase 1 gives you your Brand Integrity Index, your Signal Strength Index, the Signal Gap between them, and the opportunities worth acting on first. First findings land in 3–5 days.
Benchmark your brand →Keep reading
AI search agency in Vancouver
The agency engagement behind the benchmark — how we work with Vancouver teams.
Read more →the 15 dimensions
The instrument behind every benchmark, and how the two Indexes are scored.
Read more →SEO agency in Vancouver
How traditional search work fits alongside AI answer visibility.
Read more →