The short answer Keyword density stopped being a ranking input years ago and has no measured effect in generative engines. Entity consistency does the work now: one canonical business name, one address, one description, repeated identically across your site, your profiles and every third-party mention, so retrieval systems can resolve you as a single real organisation. The evidence.
The short answer
Keyword density stopped being a ranking input years ago and has no measured effect in generative engines. Entity consistency does the work now: one canonical business name, one address, one description, repeated identically across your site, your profiles and every third-party mention, so retrieval systems can resolve you as a single real organisation.
The evidence that repetition stopped working
The GEO benchmark study tested nine content edits against generative engines across a 10,000-query benchmark. Adding quotations, statistics and cited sources produced the largest visibility gains. Keyword stuffing produced “little to no improvement” (the GEO benchmark study). That is the clearest published test of the old tactic against the new retrieval stack, and it failed.
Google’s own guidance points the same way. Its helpful content documentation asks whether a page provides original information and substantial value or simply repackages other sources, and it tells creators to make authorship self-evident with bylines and credentials (Google helpful content guidance). None of the self-assessment questions concern term frequency.
What entity consistency actually means
An entity is the thing behind the words: a company, a person, a place, a product. Retrieval systems try to collapse every mention of that thing into one record. Every inconsistency you publish forces a decision, and some of those decisions split you into two weaker records instead of one strong one.
The practical version is unglamorous. Pick one legal name and one trading name and never mix them. Pick one street address format, including whether it is Suite or Ste. Pick one phone number. Pick one 25-word description of what you do and paste it everywhere without improvisation. Google’s Organization documentation is explicit that properties like name, url, logo, address and telephone establish presence, while sameAs and identifiers help “disambiguate your organization from other organizations” (Google Organization structured data).
| Where | What must match | Common break |
|---|---|---|
| Site footer and contact page | Name, address, phone | A tracking number that differs from the profile number |
| Organization JSON-LD | Name, url, logo, address, telephone, sameAs | Legal name in schema, trading name on the page |
| Google Business Profile | Name, categories, hours, service area | Keyword-stuffed profile name |
| Directories and associations | Name, address, phone, description | An old suite number from a previous office |
| Social and LinkedIn | Name, description, website URL | Non-canonical URL with UTM parameters |
| Press and podcast bios | Name spelling, city, one-line description | A writer shortening the name and nobody correcting it |
Mentions now outrank links as a signal
Ahrefs analysed 75,000 brands to see which factors correlated with AI Overview brand visibility (Ahrefs brand visibility study). Branded web mentions correlated at 0.664. Branded anchors reached 0.527 and branded search volume 0.392. Domain Rating managed 0.326, referring domains 0.295 and backlinks 0.218.
Treat that as directional rather than causal, since the sample skews to established domains. The ordering still tells you where to spend. Being named on a trade publication, a supplier page, a conference agenda or an association roster gives a model something to attach to your entity. A raw link gives it a URL and nothing else. Consistency multiplies the value of every one of those mentions, because identical strings merge and near-miss strings do not.
For local businesses this is the whole game
Google names relevance, distance and prominence as its local ranking factors, and describes prominence partly in terms of links and review count (Google Business Profile ranking guidance). Assistants applying similar logic have to cross-check your facts across sources, and contradictory hours or addresses give them a reason to name someone else.
The audience has fragmented too. The 2026 BrightLocal Local Consumer Review Survey of 1,002 US adults found consumers now consult an average of six review platforms, that Google’s share as a review source fell from 83% to 71%, and that ChatGPT and similar tools jumped to 45% usage for local recommendations from 6% a year earlier. Six platforms means six chances for your address to be wrong.
A 90-minute entity audit
Export every listing you can find for the business, including ones you did not create. Put the name, address, phone, website URL and description in a spreadsheet, one row per source. Sort by name. Anything that is not a byte-for-byte match is a task. Fix the ones you control first, then submit corrections to the ones you do not.
Then check the three things people get wrong most often: a call-tracking number published where the canonical number should be, an old suite number surviving on directories, and a Google Business Profile name padded with service keywords. Finish by publishing Organization JSON-LD with a sameAs array pointing at the profiles you just cleaned. Google confirms there is no AI-specific markup requirement (Google Search Central: AI features), so this is standard structured data doing standard work. We fold this into every search visibility engagement because nothing downstream works reliably without it.
Where keywords still matter
This is not permission to write vaguely. Retrieval still needs to match a passage to a question, so the words a buyer would use belong in your headings and first sentences. The difference is that you need them present and precise, not repeated. Say the service, the city and the buyer once each, clearly, and spend the remaining effort on the numbers, quotes and sources that the benchmark data says move visibility.
The bottom line
Entity consistency is cheap, boring and compounding. One name, one address, one phone number, one description, published identically everywhere, then Organization markup pointing at verified profiles. Do that before you commission another content sprint.
Tack Media has cleaned up entity data for 300+ brands since 2009. If you want the audit run for you, book at calendly.com/tack-media-agency/talk-to-an-expert or call 310-620-1141, and see how the work shows up once the plumbing is right.
Sources
- Ahrefs AI Overview brand correlation study
- Google Organization structured data documentation
- GEO: Generative Engine Optimization (arXiv)
- Google: creating helpful, reliable, people-first content
- Google Business Profile: improve your local ranking
- BrightLocal Local Consumer Review Survey
- Google Search Central: AI features and your website
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