AI SEO Control Room
Log-first AI SEO programs that rank inside ChatGPT, Gemini, and Perplexity.
We treat server logs like telemetry. That's how we catch ChatGPTBot ignoring a product spec, or GoogleOther looping a broken filter. From there we rebuild UX, schema, and copy so generative engines finally trust—and cite—your site.
38
LLM crawlers monitored weekly
OpenAI, Anthropic, GoogleOther, PerplexityBot & friends
67%
Average lift in AI citations
Measured across ChatGPT answers + Perplexity cards
11M+
Log samples processed monthly
Screaming Frog Log Analyzer, BigQuery & in-house parsers
Latest win
Re-segmented a SaaS onboarding hub after logs showed CCBot bailing on step 3. Gemini now quotes the client’s process in 2/5 prompts around “automated identity checks”.
Why logs first?
Screaming Frog Log Analyzer meets GEO experimentation.
We start every engagement inside the log files—Screaming Frog exports, CDN traces, even API hits. When you see how OpenAI, Anthropic, and Google AI crawlers actually navigate your app, the SEO roadmap writes itself.
Log fingerprinting
We isolate hits from ChatGPTBot, CCBot, GoogleOther, Diffbot, and other AI agents to see what they actually request, how often, and which response codes slow them down.
Crawler intent modeling
By blending Screaming Frog Log Analyzer exports with Search Console and Perplexity search data, we group requests by buyer intent and identify where LLMs stop short.
Experience rebuilds
We retrofit UX, schema, and conversion copy so AI engines see helpful, first-hand expertise instead of brochureware. Every change is tied to a measurable prompt scenario.
Platform programs
Four playbooks, one AI SEO stack.
Each sub-route dives deep into a single ecosystem—GEO, ChatGPT, Gemini, Perplexity. The core idea: understand how their crawlers read your site, rewrite UX to fix bottlenecks, then feed prompts with undeniable proof.
Next up
Google AI Overviews (GEO)
View details ↗Re-architect hubs so GoogleOther can parse your topical clusters, E-E-A-T signals, and UX proof. Expect structured data clean-up, intent splits, and support content.
Next up
ChatGPT & Bing Copilot
View details ↗We supply verifiable resources, prompt-ready snippets, and API-accessible assets that nudge ChatGPT to cite (and eventually link) your brand when users ask product questions.
Next up
Gemini & AI Overviews
View details ↗Gemini expects data freshness and UX completeness. We combine live data modules, Core Web Vitals tuning, and entity markup so your answers qualify for multi-turn chats.
Next up
Perplexity & independent agents
View details ↗Perplexity rewards credible sourcing. We run digital PR sprints, feed vector-friendly summaries, and track card placements to iterate faster than the algorithm updates.
What we actually do
AI SEO service pillars
This isn’t a “write more content” checklist. It’s a cross-disciplinary program where SEO, UX, and product analytics work together to ship experiences AI agents can trust.
Evidence-first crawling intel
Weekly log digests show exactly how AI bots move through the site. We visualize crawl corridors, identify dead-ends, and ship fixes with before/after deltas.
Generative Engine Optimization
We build prompt libraries, conversation trees, and canonical snippets for each product line so LLMs always find a confident, first-hand POV from your brand.
UX systems that convert
Our designers translate SEO thinking into interface patterns: scrollytelling, modular proof blocks, and interaction cues that keep prospects reading.
Measurement & iteration
BigQuery dashboards combine log data, Search Console, and platform-specific SERP captures to prove which experiments raised share of AI answers.
From log file to placement
How the AI SEO workflow runs.
Ingest & classify logs
Pull server logs, CDN traces, and Screaming Frog Log Analyzer exports. Tag AI user agents, request depth, and latency. Capture anomalies such as 403s on JSON endpoints.
Map questions to journeys
Overlay AI platform SERP captures, ChatGPT share-of-voice, and Perplexity citations onto your funnel to find intent gaps the bots can’t resolve.
Rebuild experience layers
Ship new page layouts, entity-rich copy, data visualizations, and interactive proof modules so both crawlers and humans get a complete answer.
Validate & scale
Push improvements live, monitor log deltas, rerun GEO prompts, and feed positive placements into paid, email, and sales enablement.
Case snapshot
B2B SaaS
After spotting CCBot loops in the install docs, we created an interactive build guide with inline schema and video transcripts. Result: +92% ChatGPT citation share and +41% signups from product-qualified prompts within eight weeks.
Signals we monitor
- ChatGPTBot, PerplexityBot, and Gemini hits with render depth, response codes, and run-time comparison.
- GEO answer coverage by funnel stage—whether we’re cited, ignored, or outranked by marketplaces.
- Experience quality metrics: Core Web Vitals, UX research, social proof density, and documentation clarity.
FAQ
AI SEO questions we get every week
Do AI crawlers really read my site differently?
Yes. ChatGPTBot, PerplexityBot, and GoogleOther behave more like aggressive researchers than Googlebot. They hammer APIs, PDF hubs, and author profiles. When we surface that behavior in log audits, it becomes obvious which UX paths deserve an overhaul.
What happens if you don’t see AI placements yet?
We run a baseline study—capturing prompts, logging existing citations, and comparing against log depth. If the data shows zero traction, we prioritize credibility assets (case studies, partner proof, technical explainers) before scaling GEO experiments.
Can you plug into our product, dev, or brand teams?
Absolutely. Most wins happen when SEO, product, and design collaborate. We supply dev-ready tickets, Figma blocks, and prompt kits so internal teams can move fast without deciphering SEO jargon.
Ready?
Let’s build the first AI-focused SEO roadmap your exec team will love.
Give us access to your logs and analytics for one sprint. We’ll hand back a priority list tied to AI crawler behavior, UX gaps, and revenue models.