Targeted Impressions / Search + AI

AI Search Optimization & Measurement

I help teams understand where they stand in AI-assisted discovery, find the highest-value opportunities, make the right changes, and measure the result in traffic, leads and pipeline. You know what worked and what to fund next.

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Experience

14+ years

in enterprise SEO, growth, technical search and measurement

In-house leadership

Skyscanner Americas

Regional search and growth, 2016 to 2019

Martech startup for AI search

B2B + B2C

Five years at Quattr, embedded with client teams

01 / Fixed scope

Start with an audit

Three depths. Each includes the one before it.

Rapid Baseline

1–2 weeks

Best for

Teams new to AI search that want a fast read before committing budget

What I do

Run your priority buyer questions through AI assistants and search. Review your key pages and technical setup. Pull what Google Search Console and GA4 already show.

What you get

Where you show up today, and where you don’t
Top 3–5 opportunities, ranked by impact
One recommended next step
A recommended prompt baseline to track going forward

Growth Audit

3–4 weeks

Best for

Teams planning a 60 to 90 day push, for example ahead of a seasonal peak, a launch or a budget cycle

What I do

Track a larger prompt set across more LLMs, over repeated runs. Analyze who gets cited and why. Review technical and content gaps. Size the search demand behind each opportunity.

What you get

Everything in Rapid Baseline, plus

More prompts and more LLMs, tracked over repeated runs
Competitor benchmark: your share of answers and citations against named competitors
Opportunity map, sized by demand
Specs your team can implement as written
90-day roadmap

Program Diagnostic

6–8 weeks

Best for

Larger or multi-product teams that need one strategy across business units

What I do

The Growth Audit, run per audience and product line, plus three checks: do your brand facts agree across site, docs and third-party sources; does site structure help or hurt; can your analytics attribute AI traffic and support testing.

What you get

Everything in Growth Audit, plus

The widest tracking: agreed products and markets, more LLMs, a consistent time series
Workstreams ranked by value, with owners
Measurement framework: the KPIs and reporting the program runs on
Strategic roadmap

What I look for

Reputation issues, gaps in mentions, questions where you don’t appear. Every audit ends with specs, a ranked plan and a recommended stack.

02 / Custom scope

Programmatic support

Project or retainer. Pick your modules.

Optimization

Your audit’s top changes: stronger answers on priority pages, new pages for open questions, crawl fixes, and corrections to wrong AI answers.

Metrics we track

Priority prompts where you’re named or cited
Conversion rate of AI and search referrals

Monitoring

Your prompt baseline, re-run across LLMs on a set cadence. I compare model shifts with your own changes and report what to do next.

Metrics we track

Answer and citation share vs named competitors
Accuracy and sentiment of answers about you

Continuous improvement

A ranked backlog fed by monitoring. I implement or coordinate each change, confirm it’s live, measure it, and test before you scale where the data allows.

Metrics we track

Change on your prompt panel; attributable lift where a valid test supports it
Test results: what to scale, what to drop

Attribution

Is AI visibility producing value? I connect identifiable AI and search referrals to GA4 conversions and your CRM where the data supports it, and report each stage separately.

Metrics we track

Sessions → leads → pipeline, by stage
Pipeline associated with AI and search, by page, where reliable joins are available

Targets are set at kickoff, against the baseline from your audit. Every readout reports against them.

Prompt samples, crawler requests, referrals and business outcomes are separate measures. Crawling is not proof of indexing or citation. Rankings, citations and revenue are not guaranteed; causal lift requires a suitable comparison.

Choose the right format

Ad hoc: Discovery call
1-hour block
3-hour workshop
Audit: Fixed scope and timeline. Pick a depth above.
Program: Project or retainer, scoped from the modules above.
Delivery: I do the work, or guide your team, agency or engineers.

We agree scope, timing, fees, access and implementation ownership before kickoff.

Data access used for the engagement

Only the sources needed for the agreed question

Source → role in the analysis

Organic searchGoogle Search Console: Queries, impressions, clicks, landing pages and indexing/search performance context
Clickstream analyticsGoogle Analytics 4: Referral sources, sessions, landing pages, user journeys, engagement and conversion events
Paid demandGoogle Ads: Paid search demand, keyword themes, landing-page performance and conversion context when relevant
Leads & pipelineHubSpot / CRM: Lead lifecycle, qualification, pipeline and later outcomes where the existing data can be joined reliably
AI crawler accessCloudflare / host logs: Which AI/search crawlers request which pages and how often, when logs are available and useful

Every engagement ends with a recommended stack. Your team runs it, I maintain it, or we hand it off.

To start, I only need read-only access or exports from the relevant sources you have. Missing data stays an explicit limitation. Do not email credentials or confidential customer records; we agree secure access during onboarding.

A practical first step

Start with a discovery call.

Pick the right format, confirm your data, name the outcome.

Book a discovery call

Opens an email to james@jamesfgibbons.com. Other contact options · Career and work