Weekly Update
Weekly AI Search Update — W29 2026
Google AI Overviews expands citation panels, Perplexity ships shopping-intent scoring, and what both changes ask of your source layer.
Jul 2026 · 5 min read
Read ResearchDecorative background illustration: a layered diagram showing a buyer prompt entering CiteRank, eight AI engines evaluating it, citation sources linking to AI answers, a visibility score being generated and a recommended action being prioritised.
AI Visibility Intelligence · 8 Engines · Enterprise-Grade
Own the AI
Recommendation.
Your customers are asking AI for advice. If ChatGPT and Gemini aren't recommending your brand, you're losing market share you can't see.
Want the software instead of a report? Start the 14-day product trial.
8 AI Engines · 25 Prompts · Industry-Standard Metrics
- 8 supported AI engines
- Multi-LLM monitoring
- 95% confidence bands
- Competitor benchmarking
- Citation monitoring
- Revenue attribution
Tracked across 8 AI engines
- ChatGPT
- Gemini
- Claude
- Perplexity
- Google AI Overviews
- Microsoft Copilot
- xAI Grok
- Meta AI
TEAMS WE WORK WITH ON AI VISIBILITY
- Alpha Living
- Pure PPF
- Nevora Ecovolt
- Sri Madhusudan Sai Institute of Medical Sciences and Research
- Koshly
- ZeloPrep AI
The shift
Your customers have moved from searching to asking.
AI engines now answer the questions buyers previously typed into Google. CiteRank shows whether those engines mention, cite and recommend your brand — and what to improve when they do not.
Legacy SEO
- Tracks search rankings
- Measures keywords and clicks
- Optimizes pages for crawlers
- Reports traditional organic traffic
CiteRank AI
- Tracks AI recommendations
- Measures AI Share of Voice
- Monitors citations across AI engines
- Detects hallucinations and inaccurate claims
- Connects AI visibility to business outcomes
Capabilities
Everything you need to run AI search visibility.
Six capabilities, one workspace. Expand any card for the detail — nothing is hidden, just folded away.
AI Visibility Tracking
Measure how frequently AI engines mention, cite and recommend your brand.
- Buyer-intent prompt graph built for your category and geography
- 10–20 replays per prompt per engine to control model variance
- 95% confidence bands on every score
Example: your score moves 54 → 62 after a schema and entity fix, with the change outside the confidence band.
Explore Full FeatureCompetitive Benchmarking
Compare recommendation share against competitors by engine, prompt and market.
- Recommendation share per rival, per engine
- Prompt clusters where rivals are named and you are not
- Market and language splits for multi-region brands
Example: a rival holds 47% of comparison-prompt recommendations while you hold 12%.
Explore Full FeatureCitation Intelligence
Discover which sources influence AI answers and where competitors earn citations.
- Ranked list of cited domains per prompt cluster
- Source authority and citation frequency
- Domains that cite rivals but never you
Example: two review directories drive a third of category citations and omit your brand entirely.
Explore Full FeatureGEO Optimization
Prioritize content, schema and entity improvements by expected visibility impact.
- Actions ranked by expected citation lift
- Schema, entity and content fixes with owners
- Re-measurement after each change
Example: fixing entity conflation with a similarly named brand clears a whole prompt cluster.
Explore Full FeatureReputation Protection
Detect hallucinations, inaccurate pricing, outdated facts and harmful brand claims.
- Severity-scored alerts per engine
- Dispute and correction workflow
- Sentiment tracking across answer sets
Example: two engines quote a retired price; the source page is corrected and re-checked on the next run.
Explore Full FeatureRevenue Attribution
Connect AI mentions and citations with traffic, leads, conversions and revenue.
- AI referral traffic joined to analytics
- Assisted and last-click conversions
- Pipeline influence reporting for executives
Example: AI referral sessions convert above blended organic on demo requests.
Explore Full FeatureProduct preview
One workspace for AI search intelligence.
Explore how CiteRank measures visibility, identifies competitive gaps and converts AI search data into actions.
Illustrative sample data
Illustrative AI Visibility Score of 62 out of 100, up 8.4 points week on week, with a 95% confidence range of 58–66. Engine-level share of voice: ChatGPT 41%, Perplexity 36%, Gemini 29%, Claude 24%, AI Overviews 18%.
- Visibility score
- 62/100
- Weekly movement
- +8.4
- Share of voice
- 31%
- Engines covered
- 8
95% CI 58–66
vs previous run
category average 22%
all tracked engines
- ChatGPT41%
- Perplexity36%
- Gemini29%
- Claude24%
- AI Overviews18%
Illustrative AI Visibility Score of 62 out of 100, up 8.4 points week on week, with a 95% confidence range of 58–66. Engine-level share of voice: ChatGPT 41%, Perplexity 36%, Gemini 29%, Claude 24%, AI Overviews 18%.
How it works
Four steps, repeated on a fixed cadence.
- 01
Generate Prompts
Create buyer-intent prompts based on category, audience, location and competitors.
- 02
Run Across AI Engines
Replay prompts across supported AI platforms to account for model variability.
- 03
Detect Mentions and Citations
Analyse recommendations, sources, ranking position, sentiment and competitors.
- 04
Prioritize Improvements
Convert findings into content, schema, authority, entity and reputation actions.
Who it's for
Built for the teams AI answers affect first.
Primary problem
AI assistants recommend rivals when buyers ask category questions.
Capabilities
- 25 buyer-intent prompts
- 8 supported AI engines
- Up to 3 competitors
- AI Visibility baseline
What you measure
- Recommendation share by engine
- Prompt clusters won and lost
- Open reputation issues closed
AI research
Research shaping the future of AI search.
Method notes and dated observation logs on how AI engines cite and recommend brands.
Weekly Update
Weekly AI Search Update — W28 2026
A default model shift inside ChatGPT changes citation behaviour on long-tail prompts. Short-term volatility, not a strategy change.
Jul 2026 · 5 min read
Read ResearchWeekly Update
Weekly AI Search Update — W27 2026
A new Claude release ships grounded citations by default, with early effects on B2B recommendation share.
Jul 2026 · 6 min read
Read ResearchMeasurement your team can defend.
Every number we publish comes with its method and its uncertainty. Where figures are modelled rather than observed in a client workspace, they are labelled illustrative.
A labelled sample audit
See the exact deliverable — prompt corpus, per-engine results, confidence bands and the prioritised action list — in a clearly labelled sample report.
View Sample ReportPublished methodology
Prompt design, replay counts, scoring model and confidence intervals are documented in full, so results can be reviewed rather than taken on trust.
Read the methodologySecurity and data handling
Review our security posture, privacy practice and data processing agreement before you share a workspace with us.
Pricing
Four offerings — software, or fully managed.
Billed monthly in USD. Prices exclude any applicable local taxes.
Platform + GEO
Most Popular$299/month
Software + guided fix loop
Best for brands running a measure-then-fix loop
- 500 tracked prompts, intent-tiered
- All 8 engines
- 25 competitors
- 10 seats
- Everything in Platform, plus:
- Monthly full run + weekly 150-prompt pulses
- Answer Drift Monitor, sentiment and hallucination detection
- 4–6 GEO/AEO content pieces per month + technical fix sprints
Billed monthly, excluding tax. Platform is month-to-month; GEO programs carry a 6-month minimum term.
FAQ
Questions teams ask before they start.
Traditional SEO tools measure where your pages rank in a list of links. CiteRank measures whether AI engines mention, cite and recommend your brand inside the answers they generate. The two are complementary — AI search is a separate surface with its own signals.
ChatGPT, Google Gemini, Anthropic Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI. Platform supports all 8 AI engines, with plan differences based on prompt volume, replay depth, competitors, reporting and services.
It is a composite of citation share, recommendation order and sentiment, aggregated across 10–20 replays per prompt per engine, and published with a 95% confidence band. The full model is documented on the methodology page.
Yes. Platform tracks 5 competitors, Platform + GEO and Managed GEO track 25 with rival gap analysis, and Managed GEO adds per-branch local tracking. Competitors are not charged per seat.
A run of 25 buyer-intent prompts across 8 AI engines, your visibility score with confidence bands, competitor recommendation share and a prioritised action list. No credit card is required.
Find out what AI says about your brand.
Run your brand across major AI engines and discover where competitors are being recommended instead.
Free audit = a one-off report. Free trial = 14-day access to the software.
Trust & Security
Enterprise-grade by default
- SOC 2 Type II audit in progressNot yet certified
- AES-256 at restTLS 1.3 in transit
- AvailabilityNo published uptime figure
- GDPR alignedRegion confirmed per contract
- ISO 27001Roadmap · 2027
- DPA availableOn request
See what AI says about your brand. Free audit with 25 prompts across 8 engines.
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