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Arora",[433],{"type":27,"image":434,"mobileImage":439},[435],{"src":436,"alt":9,"width":437,"height":438},"https:\u002F\u002Fd191k2rrohvvg6.cloudfront.net\u002Fimages\u002FIMG_9067.jpg",846,925,[],"SEO Specialist","\u003Cp>Janvi is an SEO Specialist at Pixis, working across SEO, generative engine optimization (GEO), and AI search. A Christ University alumna, she focuses on understanding how brand discovery is changing as search expands from ranked results to AI-generated answers. Her work covers content optimization, search visibility, and helping brands adapt to the evolving ways people find information online.\u003C\u002Fp>",{"url":443},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fjanviarora\u002F",[],{"title":446,"description":447,"advanced":448,"keywords":451,"social":452},"How to Build a Consolidated SEO and AI Visibility Report | Pixis","Build one SEO and AI visibility report across brands: shared KPI glossary, locked inputs, a documented index formula and a three-part roll-up.",{"canonical":449,"robots":450},"",[],[],{"facebook":453,"twitter":454},{"description":447,"title":422},{"description":447,"title":422},[456],{"type":27,"image":457,"mobileImage":463},[458],{"src":459,"alt":460,"width":461,"height":462},"https:\u002F\u002Fd191k2rrohvvg6.cloudfront.net\u002Fimages\u002Fhow-to-build-a-consolidated-seo-and-ai-visibility-report-featured.png","Pixis Visibility portfolio report cards and a brand scorecards label, next to two marketers reviewing a report on a laptop",1920,1360,[],[465,468,471],{"title":466,"slug":467},"SEO\u002FAEO\u002FGEO","seo-aeo-geo",{"title":469,"slug":470},"Pixis Visibility","pixis-visibility",{"title":472,"slug":473},"Content Marketing","content-marketing",true,[476],{"blocks":477},[478,481,493],{"type":479,"textBlock":480},"textBlock_Entry","\u003Cp>Monthly reporting for a portfolio of brands usually means five Search Console exports, three AI visibility screenshots and a slide deck that compares numbers nobody defined the same way. The biggest brand always looks best, the smallest always looks worst, and leadership still cannot tell which one actually improved.\u003C\u002Fp>\u003Cp>A consolidated report fixes that, but only if the brands are measured on the same terms. Same metrics, same definitions, same date ranges, and the same number of prompts tested on the same cadence.\u003C\u002Fp>\u003Cp>The second requirement is normalization. A site with 200 pages and a site with 40 pages will never produce comparable raw totals. Rates and indexes let you compare how well each brand performs for its size.\u003C\u002Fp>\u003Cp>This guide covers the setup to do first, the shared KPI set, how to calculate a fair index, a three-part layout, the mistakes that invalidate comparisons and the checks to run before the report ships.\u003C\u002Fp>\u003Ch2>Key takeaways\u003C\u002Fh2>\u003Cul>\u003Cli>Agree on one KPI glossary across all brands before connecting any tool, so every metric means the same thing everywhere.\u003C\u002Fli>\u003Cli>Lock date ranges, filters and prompt set sizes per brand; inconsistent inputs make cross-brand comparison meaningless.\u003C\u002Fli>\u003Cli>Normalize with per-page rates and a documented index formula, and compare trends rather than raw totals.\u003C\u002Fli>\u003Cli>Use three sections: a portfolio summary, a scorecard per brand and an exceptions list that flags sudden drops.\u003C\u002Fli>\u003Cli>Check the report against the source data before it reaches stakeholders, starting with one brand's Search Console totals.\u003C\u002Fli>\u003Cli>Pixis Visibility can track each brand's SEO and AI visibility data and send scheduled reports and alerts; the cross-brand roll-up itself is assembled by your team.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Settle access and definitions before the first pull\u003C\u002Fh2>\u003Cp>Most multi-brand reports fail before any data is pulled. One brand is missing access, or two teams define visibility differently. Put these in place first:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Search Console access for every domain,\u003C\u002Fstrong> with one property per site. Choose a domain property or a URL-prefix property for each site and document the choice, because mixing them can double-count traffic when you stack brands.\u003C\u002Fli>\u003Cli>\u003Cstrong>An AI visibility source\u003C\u002Fstrong> that covers the engines you care about, such as ChatGPT, Perplexity, Gemini and Claude. A disciplined prompt-testing spreadsheet works for a small portfolio.\u003C\u002Fli>\u003Cli>\u003Cstrong>A prompt set per brand,\u003C\u002Fstrong> with the same number of category-relevant prompts per brand, run on the same cadence.\u003C\u002Fli>\u003Cli>\u003Cstrong>Locked filters:\u003C\u002Fstrong> the same date range, country and search type for every Search Console property. For large sites, the Search Console API returns more complete data than interface exports.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Define one KPI set for every brand\u003C\u002Fh2>\u003Cp>Write down what each metric means and where it comes from before you connect any tool. Every brand team signs off on the same definitions, so a click or a citation means the same thing for Brand A as for Brand B.\u003C\u002Fp>\u003Cp>A practical core set has seven metrics:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Organic clicks:\u003C\u002Fstrong> Clicks from Google search results (source: Search Console).\u003C\u002Fli>\u003Cli>\u003Cstrong>Impressions:\u003C\u002Fstrong> Times a page appeared in search results (source: Search Console).\u003C\u002Fli>\u003Cli>\u003Cstrong>Average position:\u003C\u002Fstrong> Mean ranking position across queries (source: Search Console).\u003C\u002Fli>\u003Cli>\u003Cstrong>AI mention rate:\u003C\u002Fstrong> Share of tracked prompts where the brand is mentioned (source: AI visibility tracking).\u003C\u002Fli>\u003Cli>\u003Cstrong>Share of voice:\u003C\u002Fstrong> Brand mentions as a share of all tracked brand mentions (source: AI visibility tracking).\u003C\u002Fli>\u003Cli>\u003Cstrong>Citation rate:\u003C\u002Fstrong> Share of AI answers that cite the brand's pages (source: AI visibility tracking).\u003C\u002Fli>\u003Cli>\u003Cstrong>Technical health:\u003C\u002Fstrong> Site health score from a technical audit (source: Technical audit).\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Keep the SEO and AI metrics in the same report. A brand that gains organic positions may also be gaining citations, and separate decks hide that pattern. For more AI-side metrics and how to define them, see \u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fblog\u002F12-metrics-every-marketer-should-track-for-ai-visibility-in-2026\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">12 metrics every marketer should track for AI visibility in 2026\u003C\u002Fa>.\u003C\u002Fp>\u003Ch2>Normalize so size does not decide the ranking\u003C\u002Fh2>\u003Cp>Raw totals reward size, not performance. Convert them into rates first, then into an index, and write the formula into the glossary so anyone can reproduce it.\u003C\u002Fp>\u003Cp>A simple method:\u003C\u002Fp>\u003Col>\u003Cli>\u003Cstrong>Turn totals into rates.\u003C\u002Fstrong> Divide organic clicks by indexed pages to get clicks per page. AI mention rate is already a rate.\u003C\u002Fli>\u003Cli>\u003Cstrong>Index each rate against the portfolio.\u003C\u002Fstrong> Divide each brand's rate by the best rate in the portfolio and multiply by 100. The leading brand scores 100 on that metric.\u003C\u002Fli>\u003Cli>\u003Cstrong>Combine the indexes.\u003C\u002Fstrong> Average the metric indexes, or weight them if leadership cares more about one, and record the weights.\u003C\u002Fli>\u003C\u002Fol>\u003Ch3>An illustrative example\u003C\u002Fh3>\u003Cp>Suppose Brand A has 50,000 monthly organic clicks across 200 indexed pages, and Brand B has 5,000 clicks across 40 pages. On the same 30-prompt set size, Brand A is mentioned in 42% of AI answers and Brand B in 18%. These figures are invented to show the method.\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Clicks per page:\u003C\u002Fstrong> Brand A has 250, Brand B has 125. Indexed against the best rate, A scores 100 and B scores 50.\u003C\u002Fli>\u003Cli>\u003Cstrong>AI mention rate:\u003C\u002Fstrong> A has 42%, B has 18%. Indexed against the best rate, A scores 100 and B scores about 43.\u003C\u002Fli>\u003Cli>\u003Cstrong>Composite index,\u003C\u002Fstrong> equal weights: A scores 100, B scores about 47.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>The tenfold gap in raw clicks has become a roughly twofold gap in efficiency. That is the comparison leadership can act on: Brand B earns half as much per page and is mentioned less than half as often in AI answers.\u003C\u002Fp>\u003Cp>Indexing against the leader has one side effect: if the leading brand drops, every other brand's index rises. Show raw values beside the indexes so readers can tell which brand actually moved.\u003C\u002Fp>\u003Ch2>Lay out the report in three parts\u003C\u002Fh2>\u003Col>\u003Cli>\u003Cstrong>Portfolio summary.\u003C\u002Fstrong> Aggregate trends across all brands for the period, in one view.\u003C\u002Fli>\u003Cli>\u003Cstrong>Brand scorecards.\u003C\u002Fstrong> One per brand, with each metric, its index and the month-over-month change.\u003C\u002Fli>\u003Cli>\u003Cstrong>Exceptions.\u003C\u002Fstrong> A short list of brands with a sudden drop on any metric, defined by a threshold you agree in advance, such as a week-over-week fall larger than normal variation.\u003C\u002Fli>\u003C\u002Fol>\u003Cp>Design the exceptions section first. It is the part executives read, and it is what turns the report into a list of actions.\u003C\u002Fp>\u003Cp>Automate the refresh where you can. A report that depends on someone opening several tools and copying numbers by hand rarely survives a busy quarter. For more on cutting reporting overhead, see \u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fblog\u002Ffrom-dashboards-to-decisions-how-growth-teams-reduce-reporting-overhead-and-catch-budget-leakage-early\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">how growth teams reduce reporting overhead\u003C\u002Fa>.\u003C\u002Fp>\u003Ch2>Where consolidated reports go wrong\u003C\u002Fh2>\u003Ch3>Comparing raw totals\u003C\u002Fh3>\u003Cp>A larger site always wins on totals, even when a smaller site performs better per page. Totals also hide maturity: a two-year-old site and a ten-year-old site differ in crawl depth, backlinks and content volume.\u003C\u002Fp>\u003Ch3>Mismatched date ranges and prompt sets\u003C\u002Fh3>\u003Cp>If one brand's data covers the trailing 30 days and another's covers the last calendar month, the comparison is invalid. The same applies to prompts: each brand needs the same number of prompts on the same cadence, even when the prompts differ by category.\u003C\u002Fp>\u003Ch3>Splitting SEO and AI visibility\u003C\u002Fh3>\u003Cp>Two decks that never meet hide the relationship between rankings and AI answers. Keep both in each scorecard.\u003C\u002Fp>\u003Ch3>Ignoring overlap between brands\u003C\u002Fh3>\u003Cp>When several brands target the same regions or topics, they can compete with each other for the same queries and the same AI answers. Per-brand reporting will not show that. Check overlapping queries across sites at least once a quarter.\u003C\u002Fp>\u003Ch2>Check the report before it ships\u003C\u002Fh2>\u003Cp>Run four checks before stakeholders see it:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Source match.\u003C\u002Fstrong> Compare one brand's Search Console totals in the report with Search Console directly. A difference means a pipeline error.\u003C\u002Fli>\u003Cli>\u003Cstrong>Index sanity.\u003C\u002Fstrong> If a brand's index moved but its own raw numbers did not, check whether the leading brand moved instead.\u003C\u002Fli>\u003Cli>\u003Cstrong>Coverage.\u003C\u002Fstrong> Confirm AI visibility data covers every engine for every brand, with the same prompt set size and date range.\u003C\u002Fli>\u003Cli>\u003Cstrong>Alerts.\u003C\u002Fstrong> Trigger the exceptions threshold on a test value and confirm the alert reaches the right person.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Where Pixis Visibility fits\u003C\u002Fh2>\u003Cp>The repeat work is collecting the same data for every brand on the same schedule. In \u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fproducts\u002Fpixis-visibility\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">Pixis Visibility\u003C\u002Fa>, each brand can be set up as its own site with its own Search Console connection, keyword position tracking and technical SEO audit.\u003C\u002Fp>\u003Cp>For AI visibility, it tracks brand mentions, average position, citation rate, share of voice and top-3 presence across ChatGPT, Perplexity, Gemini and Claude, using the prompt sets you build or auto-generate for each brand. Scheduled custom reports and alerts, including alerts when a competitor gains ground, can go to email or Slack, and technical audits can be exported as health check reports. Each site also has a Central Report, one consolidated overview of strategy, search, GEO and content that you can export as a PDF, which gives you a consistent per-brand input for the roll-up.\u003C\u002Fp>",{"type":482,"asset":483,"assetWidth":492},"asset_Entry",[484],{"type":27,"image":485,"mobileImage":491},[486],{"src":487,"alt":488,"width":489,"height":490},"https:\u002F\u002Fd191k2rrohvvg6.cloudfront.net\u002Fimages\u002Fpixis-visibility-central-report-performance-overview.jpg","Pixis Visibility Central Report performance overview page showing GEO score, AI visibility, visibility rate, search clicks and published content for one site",1440,778,[],"large",{"type":479,"textBlock":494},"\u003Cp>Pixis Visibility does not build a cross-brand roll-up for you. The glossary, the normalization formula and the portfolio summary are assembled by your team, in a spreadsheet or BI tool, from each site's data.\u003C\u002Fp>\u003Ch2>Ship the first version with two brands\u003C\u002Fh2>\u003Cp>Start small. Pick two brands, write the glossary and the index formula, and build the three sections for one month of data. Run the four checks, then share it with one stakeholder and ask which section they actually used.\u003C\u002Fp>\u003Cp>Add the remaining brands once the structure holds, and keep the formula and definitions unchanged so trends stay comparable from month to month.\u003C\u002Fp>\u003Cp>Get started with \u003Ca href=\"https:\u002F\u002Fvisibility.pixis.ai\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">Pixis Visibility\u003C\u002Fa> to track SEO and AI visibility for each brand on the same schedule and feed one consistent portfolio report.\u003C\u002Fp>\u003Ch2>FAQs\u003C\u002Fh2>\u003Ch3>What metrics belong in a consolidated SEO and AI visibility report?\u003C\u002Fh3>\u003Cp>Seven cover most needs: organic clicks, impressions, average position, AI mention rate, share of voice, citation rate and technical health. Define each one in a shared glossary before you collect data.\u003C\u002Fp>\u003Ch3>How often should the report be updated?\u003C\u002Fh3>\u003Cp>Monthly for the portfolio summary and brand scorecards, with weekly checks that feed the exceptions section. Collect AI visibility data on the same cadence as SEO data so trend lines stay comparable.\u003C\u002Fp>\u003Ch3>What is the difference between an AI mention and an AI citation?\u003C\u002Fh3>\u003Cp>A mention means the answer names your brand. A citation means the answer uses one of your pages as a source, sometimes without naming the brand. A brand can be mentioned often and cited rarely, and the two gaps usually need different fixes.\u003C\u002Fp>",[],{"blogBanner":497},{"bannerIcon":498,"bannerBrandName":503,"bannerHeading":508,"bannerCta1Text":509,"bannerCta1Url":79,"bannerCta2Text":510,"bannerCta2Url":259},[499],{"url":500,"title":501,"width":502,"height":502},"https:\u002F\u002Fd191k2rrohvvg6.cloudfront.net\u002Fimages\u002Fv-logo.svg","V logo",78,[504],{"url":505,"title":506,"width":507,"height":60},"https:\u002F\u002Fd191k2rrohvvg6.cloudfront.net\u002Fimages\u002Fvisibility-logo.svg","Visibility logo",191,"Increase your visibility on Google and AI search","Book a demo","Signup for free",1793083459717]