DoodleWeb

Proprietary research · Published June 2026

The 2026 Seattle Agency AI Citation Index

We ran 250 buyer-intent queries across ChatGPT, Gemini, Claude, and Perplexity to measure which Seattle and Pacific Northwest digital agencies AI assistants actually recommend — and which on-site signals correlate with being cited.

The short version

  1. 1. Each engine rewards a different mix of signals. A Clutch profile is a near-prerequisite for Claude and Gemini; Reddit grounding is what moves ChatGPT and Perplexity.
  2. 2. The top 5 Seattle agencies by composite citation rate (across all 4 engines) are not the largest by headcount or media spend — they are the ones with the cleanest combination of directory presence, entity page, FAQ schema, and recent Reddit mentions.
  3. 3. Structural fixes ship faster than reputational ones. A site can move from 0% to ~30% citation rate in 60 days with technical AEO alone; getting past 50% requires off-site reputation work.
  4. 4. Claude is the most concentrated engine — 72% of mentions go to the top 3 brands. If you are not in Clutch or DesignRush, Claude is structurally unlikely to name you regardless of on-site optimization.

Per-engine results

250 identical queries against each engine, between May 12 and June 6, 2026. Brands named per query is the mean across all 250 prompts.

EngineQueriesBrands named (avg/query)ConcentrationTop cited sources
ChatGPT (search)2506.4Long tail — top 5 brands win ~38% of mentionsClutch, agency .com sites, Reddit r/web_design, Medium
Gemini2504.1Concentrated — top 5 brands win ~61% of mentionsGoogle Maps + Business Profile, DesignRush, Clutch
Claude (web_search)2502.3Highly concentrated — top 3 brands win ~72% of mentionsClutch, DesignRush, The Manifest, GoodFirms, Wikipedia
Perplexity2507.8Broadest — long tail of 25+ brands per queryClutch, DesignRush, agency .com sites, Reddit, YouTube

What correlates with being cited

For each agency in the index we recorded the presence or absence of seven structural signals, then regressed citation rate against each. Lift is expressed in percentage points (pp) versus the no-signal baseline.

SignalCitation-rate liftNotes
Verified Clutch profile with ≥10 reviews+18 to +42 ppLargest single lift. Most pronounced on Claude and Gemini.
Dedicated entity page (`/about` or `/who-is-X`) in third-person prose with Organization schema+9 to +21 ppStrongest on Claude. No measurable effect on Perplexity until paired with Clutch.
FAQ schema on service pages + answer-shaped H2s+7 to +15 ppChatGPT and Perplexity reward this most; quotes the answer verbatim.
`llms.txt` + `llms-full.txt` published at site root+3 to +8 ppSmall but consistent. Acts as a tie-breaker between similarly-ranked agencies.
≥3 Reddit threads in the last 12 months naming the agency+11 to +24 ppChatGPT and Perplexity only. Claude weights Reddit less.
Real client case studies with named clients (not anonymous logos)+6 to +14 ppAcross all engines. Named-client pages get scraped into citation snippets.
Page rendered with SSR / SSG (vs client-side React app)RequiredPages hidden behind client-side hydration are effectively invisible to Claude and Gemini crawlers.

Methodology

Universe. 25 Seattle and Pacific Northwest digital agencies that ranked on the first two pages of Google for at least one of "Seattle web design agency", "Seattle WordPress development", "Seattle Drupal agency", or appeared in the top 10 of Clutch's Seattle web design listings as of May 1, 2026.

Queries. 250 prompts grouped into 10 categories: web design, WordPress development, Drupal development, Shopify development, ecommerce builds, rebranding, AEO/AI search, digital marketing, higher-ed CMS, and government / public-sector platforms. Each category contained 25 paraphrased variants of the same buyer-intent question (e.g. "best Seattle agency to migrate a university from Drupal 7").

Engines. ChatGPT with web search enabled (gpt-4o), Gemini 2.5 Pro with grounding, Claude Sonnet with the web_search_20250305 tool, and Perplexity Sonar. Each query was run twice on separate days, in fresh sessions, with no system prompt and no memory.

Scoring. A brand "citation" was counted when an agency name appeared in the answer body or in the source list. We did not count generic mentions inside long lists ("agencies like X, Y, Z"); the brand had to be recommended, compared, or cited as a source.

Lift estimation. For each of the seven signals we computed citation rate among agencies with the signal versus without, then bootstrapped 95% confidence intervals (1,000 resamples). Lift ranges in the table are the inner 95% CI bounds, not point estimates.

Limitations. AI engines are stochastic; re-running the same prompt produces different answers. Citation rates here are a snapshot of late May / early June 2026 and will drift. Engines were tested in their consumer configurations — enterprise deployments with custom retrieval may behave differently. Sample size (n=25 agencies) means signal-level lift estimates are directional, not precise.

Replicability. The 250-prompt set, per-engine raw response logs, and the scoring rubric are available on request to qualified researchers and clients.

Want to know where your brand stands?

We run the same 250-query index against any brand and return a per-engine scorecard plus a 30-day fix list. The first audit is free for qualified prospects.