AI search consulting
Be the answer — not the afterthought.
We help your brand show up (and get cited) in AI answers across ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. Our approach blends rigorous research with hands-on implementation to turn your site into an LLM-readable, entity-rich source of truth.
Email us at report@aisearchlab.ai to start a project or ask a question.
Why us
Why teams choose AI Search Lab
- Science-based methodology: We operationalize research on entity salience, schema, retrieval confidence, and LLM citation behavior.
- 9-Point GEO/AEO Rubric: A clear scorecard that benchmarks your site’s AI-readiness and guides a prioritized roadmap.
- Implementation, not just audits: We ship schema, entities, content briefs, ingestion feeds, and evidence packs.
- Measured outcomes: We track AI answer coverage, citation rate, and time-to-first-mention — not vanity metrics.
We align classic SEO hygiene with modern AI search realities: entities & relationships, answerability, verifiability, and ingestion.
Service delivery
What you'll get from a consulting engagement
- AI Search Audit: Crawl + rubric scoring across structure, content, entities, schema, sources, and ingestion signals.
- Implementation Playbook: Step-by-step fixes, sample copy blocks, and ready-to-ship JSON-LD schema & sitemaps.
- Entity & Evidence Map: Canonical entities, claims, citations, and third-party corroboration targets (your “proof graph”).
- AI Ingestion Readiness: Feeds and patterns that make your content easier to parse, ground, and quote.
- Monitoring & Governance: KPIs, dashboards, and content guidelines to keep you AI-visible as models evolve.
Our process
Our research-driven method
- Intent discovery: Map high-value questions and actions your buyers ask AI systems.
- Rubric scoring: Apply our 9-point GEO/AEO rubric to quantify gaps and opportunity size.
- Entity & schema design: Model product/service knowledge with JSON-LD, IDs, and relationships.
- Answerability & evidence: Craft concise, verifiable answers with citations and trustworthy sources.
- Ingestion & distribution: Prepare sitemaps, feeds, and references so LLMs can find, parse, and ground.
- Measure & iterate: Track coverage, citations, and time-to-visibility; run controlled experiments.
Under the hood: entity salience, retrieval-augmented grounding signals, citation likelihood, schema validation, and crawl-friendliness.
Expected outcomes
Results you can expect
- More AI answer coverage: Appear for the intents that matter — not just long-tail queries.
- Higher citation rate: Increase the chances your brand is named, linked, and recommended.
- Shorter time-to-first-mention: Reduce lag from publish → crawl → AI visibility.
- Implementation velocity: Clear tickets your team (or ours) can ship quickly.
Measurement framework
How we measure success (KPI Glossary)
- AI Intent Coverage (AIC)
-
Share of tracked intents where your brand appears in the AI answer or sources panel.
AIC = (# intents with appearance in top answers or sources) / (total tracked intents) × 100% - Citation Rate (CR)
-
Percent of observed AI answers that explicitly cite or mention your brand/domain.
CR = (# answers citing/mentioning brand) / (# answers observed) × 100% - Time-to-First-Mention (TTFM)
-
Median days from content publish/update to first brand mention in any tracked AI answer.
TTFM = median( first_mention_date − publish_date ) - Entity Health Score (EHS)
-
Completeness & validity of key entities and relationships (schema, IDs, sameAs links).
EHS = (valid entities with complete schema) / (target entities) × 100% - Evidence Strength Index (ESI)
-
Weighted share of claims backed by high-trust, crawlable citations (first-party & third-party).
ESI = Σ( claim_i_weight × citation_trust_i ) / Σ( claim_i_weight ) - Grounding Accuracy (GA)
-
Percent of sampled AI answers that are factually correct given your ground truth.
GA = (# correct answers) / (# sampled answers) × 100% - Ingestion Latency (IL)
-
Time from sitemap/feed ping to first crawl detection (proxy for freshness).
IL = median( first_crawl_detected − ping_time ) - AI Share of Voice (AI-SoV)
-
Weighted visibility across intents and engines, factoring rank/placement.
AI-SoV = Σ( intent_weight × placement_weight ) / Σ( intent_weight ) - Conversion Lift from AI (CL-AI)
-
UTM-tracked lifts from AI-referred or AI-influenced sessions.
CL-AI = (ConvRate_AI − ConvRate_baseline) / ConvRate_baseline × 100%
We report per engine (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot) and per geography where relevant. Benchmarks establish your baseline before implementation.
FAQ
KPI & Reporting Questions
How do you build the KPI panel?
We maintain a tracked set of buyer-relevant intents. Our agent runs scheduled checks across AI engines, captures the raw answers/sources, and computes KPIs by engine and intent cluster.
How often do you measure?
Weekly by default (daily for launch sprints). Monthly rollups show trend lines and confidence intervals.
What’s a good starting target?
Post-implementation, teams typically aim for: +20–40 pts AIC growth on tracked intents, +10–20 pts Citation Rate, TTFM ≤ 14 days for new posts, and ≥ 90% Entity Health. We calibrate targets by competition and content velocity.
How do you attribute conversions to AI answers?
We use UTM conventions, landing-page tagging, and analytics segments for AI-referred / AI-influenced sessions, then compare to a matched baseline (channel/time/control content where possible).
Does this conflict with SEO?
No. Strong entities, clean schema, and verifiable answers reinforce SEO. We keep SEO hygiene (CWV, internal linking, sitemaps) while optimizing for LLM parsing and citation behavior.
Models change — will my KPIs whipsaw?
We normalize with intent weights, multi-engine sampling, and rolling averages. Release-spike alerts flag anomalies, and we re-score rubrics after major updates.
What data do you store?
Only what’s needed for KPI computation: prompts/intents list, captured answer text, citation URLs, timestamps, and your site’s public metadata. No customer PII unless you explicitly provide it.
Can we bring our own intents & benchmarks?
Yes. We’ll merge your intent list and historical metrics into our tracker so KPIs reflect your funnel.
Our clients
Who we help
Growth and product marketing teams at SaaS, healthcare, e-commerce, marketplaces, and local services — especially where accuracy, trust, and citations drive conversion.
Get started
Talk to us
Have a tricky visibility problem or need a second set of eyes on your GEO/AEO plan?
We’ll reply with a quick take and a suggested next step.
Free analysis
Run a complimentary GEO/AEO scan
Paste a URL, we’ll crawl it, grade every category, and show the full report on this page. Downloading the PDF captures your email so we can follow up on implementation.